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[!t]
The OpenMax {{cite:029adcafac3b2738655829e1d97b9683e8e205b4}} algorithm finds a Weibull distribution through Meta-Recognition calibration for each class {{formula:0ed5107b-fc26-4707-ac42-a714125e5c83}} , with {{formula:f0c47cb0-cfd5-45eb-8d86-8eb079c6381d}} largest accepted distance to mean {{formula:cc605c30-445... | m | bbe36d5fd402f6b8c5e9f469f15a8530 |
Finally, based on previous research {{cite:acb67aae26b7d4def0649f8aed3e8845ed48e034}}, {{cite:124b2981ef31164e94ac6e03ca8adef730e973f0}}, {{cite:394fe18d2208da92ef01c1397f6c5f04aee0bfb2}}, we excite and inhibit relevant and non-relevant features in the original input by applying a convolution operation to increase the ... | m | d20bb0b9881c676459ec7d4e9eebd10a |
In this manuscript, we explore the behaviour of the spectrum of the Lax matrices of various relevant integrable systems
when the number of degrees of freedom {{formula:21a2c3ff-1745-44e2-92a4-b76894750b31}} , and
the initial data is sampled according to a properly chosen Gibbs measure.
Our main result is that we can co... | i | 428f547c78d4d4408b4cc57ab8664acb |
The second harmonic, {{formula:a8a74aaa-5ba1-41d5-ad02-9a7ff906010b}} , typically referred to as elliptic flow,
is the most thoroughly investigated one, for review see
{{cite:9cca0f7cb5d1313cbf0914df865a18e00495b61d}} and references therein. The reason is obvious:
it directly relates the anisotropic shape of the overla... | i | 65ad23d18197f89f4539d5da52c9ae8b |
Known decoding algorithms for MRD codes can be generally classified in two different approaches: syndrome-based decoding as in {{cite:fafc35a86a20af55fec70cf8a03cf31b1ef17d10}}, {{cite:ae1dcb64e926b9ffb564112f1bc167ba6fed98c7}}, {{cite:a275b538d357f617787ad3f72a1e4cf79cae228b}}, {{cite:9d1fd2b798eb34da3bc0a45f351cff634... | i | 9172c9e9cd2b48d26d33ced4a4f7243b |
The parameter estimation in Param depends on a computationally efficient method which is based on MPLE {{cite:6279dad4429d75d473067fc9bc47bc7ed432c397}} in Eq.(REF ). AgraSSt takes longer to compute
mainly due to the computation of graph kernels, e.g. Weisfeiler-Lehman kernel {{cite:7c33e522a27d28503581c7262937a6cd3c28... | r | a8a809cd6d6e68b7920d460cc1cf390f |
The plasma in question, the quark-gluon plasma (QGP), is created by colliding lead and gold nuclei at high energies in the Large Hadron Collider (LHC) at CERN; and the Relativistic Heavy Ion Collider (RHIC) in Brookhaven National Laboratory (BNL). Before the first results from RHIC in 2000 it was expected that at high ... | i | cff99145a6df5089cc08ae638b6212f1 |
We start with with a `toy' Hamiltonian, {{formula:5ecbfdb4-be25-441a-9a50-b6cff78fde44}} , for which the relationship
{{formula:512c04b1-7dec-46b7-a02a-e84303a2ac4b}} is known
analytically,In this paper we refer to variables such as the
angles and actions in the toy Hamiltonian as {{formula:113a2527-8339-4f86-b57a-908... | m | 4dd0191685d0d57aae975f9be0672a1d |
(1)
Scalabilty of annealers.
Annealers have worked well in many practical applications, but the challenge is how to scale up the problem size without excessive resource consumption. Though minor embedding method is helpful as well as Chimera graph, it still stands a limitation of sizes. The time-division multiplexing a... | d | 26d7c9c79f33b7d99e706a22be4e8979 |
Predicting on learned predictions.
We observe that the highest mAP score on the Kaggle competition was about 85%, with over thirty teams achieving 83%.
The state-of-the-art mAP of the next largest video classification task–ActivityNet–is comparatively poor at 77.6% when model training is assisted with the YouTube-8M da... | d | aa409c668ec188890b510d46e8fc0342 |
A central goal of heavy-ion reaction experiments over a broad beam energy range from the Fermi energy all the way to LHC energies is to investigate the equation of state (EOS) of dense matter formed in these reactions. In realizing this goal,
comparisons of hydrodynamics and/or transport model predictions with the expe... | i | 665535fbf8f8953e8e8d72ec30aeb0d7 |
In fact, as we further illustrate in Section A.1 of the Appendix, a large number of causal inference methods can be written in the form of an M-estimator {{formula:5d07b80f-6ec2-45b6-81e5-e84372bad68a}} which solves {{formula:2a2a2948-b212-479e-a0b1-ad4a5a31a565}} {{cite:b7d96a7e8b2d233bae1a60bc7c7f57fb870834aa}}.
Th... | m | 341a8caa9d0a2224513e8e404ed9c867 |
Gravitational wave (GW) astronomy has been a rapidly growing subject, with the development of new GW detectors providing new probes for understanding the fundamental properties of gravity from both an astrophysical and cosmological perspective {{cite:e342269df0b01820705f56521137e8dc6b4561f4}}. Gravitational waves are t... | i | 38158d5b0870118fab76ee2f8e638357 |
A core theme of evolutionary game theory is to explore which strategies sustain cooperation in repeated social dilemmas {{cite:8eb3fdad2c88fba7df3b942930f6886ffb89f0b3}}, {{cite:fbcd86b3a47073e75cbcf8527a482db25da52b99}}, {{cite:9006a55f8dc6ddf9c38ea77ce5a6ee79e63d49fd}}, {{cite:72dafb9c04a9ac870b30a2b43bc63fa6902f61f3... | d | e5c608a63503cba444c4821e448ad839 |
{{cite:5196ccd2c728c1964e0106ba748bedc15692fb85}} (hereafter Paper I) presented the spectroscopy of a
large fraction of the objects selected by G20, which,
together with results taken from the literature, covered {{formula:bc0e0052-9a8f-4a6f-8005-5393bd7019c1}} per cent
of that sample. Paper I is the first publication... | i | a8065a9718bdc7e02fb02ab8c8db854c |
To address RQ 1a, we will look at convolutional neural
networks (CNNs) and recurrent neural networks (RNNs), which are both
highly prominent approaches in the recent natural language processing
(NLP) literature (see Chapter ). A recent development is the emergence of deep
residual networks (ResNets), a building block f... | m | e1e27f98ee03af40e987c30e587a6296 |
A variety of tuning-free methods have been proposed to tackle high-dimensional linear regression. The seminal work {{cite:5cf448ae633613977fc8d2ba6cf2929c7d12da1d}}
proposes the square-root Lasso estimator which does not rely on knowing the size of the noise and is also statistically optimal. {{cite:8a0e00a548deb1ff9f9... | m | f095dbcc4ab29f7465c742de75649f2b |
To achieve better accuracy and stability, our system is based on generalized coordinates algorithms instead of these maximal coordinates methods.
The idea of generalized coordinates originated in analytical mechanics {{cite:e3c3084af448ee732179e0417fc7f89e014ff57b}}.
Robotics and graphics have developed a variety of al... | m | 0c108f96a41124f042ea8ac9b9876f7a |
A framework for low-resource video domain adaptation using a supervised disentangled learning strategy that is particularly well-suited to keystroke inference attacks.
Background
Keystroke Inference Attacks
Much of the early works in vision-based keystroke inference attacks have focused on direct line of sight and refl... | i | e0c66943c32de265482c10685689a858 |
The RF based models (RF and the RF kernel) performed as well or slightly outperformed the XGB based methods (XGB and the XGB kernel) in our experiments. However, there is no free lunch for statistical learning and consequently for a universally optimal kernel {{cite:2672f560b8b306f40e7e3ad3cf7437f74f407e59}}, {{cite:82... | d | 7f278d083c6cfe67b9bf34bbd0eca229 |
Second, we analyze the user-product interaction journey using supervised and unsupervised methods, such that five distinctive clusters representing specific purchasing behaviors are identified. Next, we use the TPOT AutoML package {{cite:716cf175dd4eb52d899daf2fd4fbb257899d224c}} to fit the best classifiers for predict... | d | 5ad1cbb9b64ebf300799b483e6a622b7 |
Machine learning, especially generative models, made impressive advancements in domains ranging from computer vision {{cite:ca0a6206d17e453d341fa4f3832c88825ee70578}}, {{cite:29f819a7e76e1fe3ff2b19161303db24797ecca2}}, {{cite:4718fda26344fa40335f6cec2f3dbf064cd07d10}} to natural language processing {{cite:86537743e64f6... | i | 3e120accd7b4dc744b420e0912389f9e |
In 1941, Turán {{cite:fe64b5728d20e4afa5a65bf0c903e57dbd92d1a1}} posed the natural question of determining
{{formula:cc1a9475-f0d9-40c2-8be2-3f6e8cbfafff}} for {{formula:d251c8e9-9df5-490b-bff7-0688da863066}} .
Let {{formula:3024e3e9-346b-48f3-84d3-24b158e13287}} denote the complete {{formula:95571907-a6c4-4c9e-b3b5-... | i | 7885dede7928c39709a707a05d3771c3 |
The ML community has devised several techniques to overcome the limitations of expensive pointillistic labeling such as intelligently choosing the most informative training samples to label {{cite:c6c0072cb128196f702f8538bd2edca92323f4cd}}, combining both labeled and unlabeled data {{cite:565ab96cd31947c1d49e4473b10799... | d | fd8d22c77591983211e60898aacd3725 |
{{formula:675098d0-ba6f-4dec-8589-ac5b67880a04}} Affordance Grounding Results.
We compare our method with the state-of-the-art methods on OPRA {{cite:7ba7cb0582e3379b8ac7437b19baf78875d25cd8}} and EPIC {{cite:b126be848c038f1faabf88bc213f5231e8e44dda}} datasets, the results are summarized in the left part of Table ... | r | fa19107961fb7ee1e0e72d505d2c81e2 |
In this subsection, we present the consensus-based AC method. This method is particularly useful in the setting of the MMDP with large state and action spaces that we introduced in Section REF . The method exploits the idea that the team-average advantage function {{formula:352b4df2-caa2-426f-ad84-c8a31906c8f0}} can b... | m | d8585bd1a663cdbd39d51e66000354b9 |
While realistic traffic flows can be simulated via a variety of simulators {{cite:b6b32557451cf924e1c7e44562668074f6e3110c}}, {{cite:0f50f0f7eebe3b55f159a34b51b7f91e3844b1ce}}, {{cite:54c9224e76afa7bdc1e42ffa6f8a3737a7c5569e}}, {{cite:300214eeb5bdc5e527dcd2475124a014b1c853fa}}, editing or imposing specific space-time c... | i | 5017ee7ee628f1e95eb5973a61b69062 |
In Table REF , we comprehensively compare the performance of MaskSpec in various downstream tasks with other self-supervised and supervised methods.
Compared with another self-supervised method (SSAST {{cite:5e4f616af01904b554db6ce172224b6b85ff7a05}}), our proposed method has the stronger generalization in all downstre... | r | 7ade9941ae148fa31978ec7e88faf86a |
Following the proof of Dirac {{cite:86e076b96453a3ce4df9bf44aed78a83407bb275}}, a hamiltonian cycle can be constructed in polynomial time in {{formula:b931a800-8370-4049-836e-ac7b6a77c825}}
if {{formula:a4016059-5931-4e4f-a4e9-0947a6074d06}} . In fact, there is a polynomial time algorithm that constructs the closure o... | r | f2cf1f042a9ecec31dcb0f5902ce3ad8 |
Stability and passivity are two critical concepts that are being abundantly used in various control systems design tasks {{cite:3dc0e1c9e541672b6677474abfe4c6e28a254f28}}, {{cite:9fb20be8be1727a88276843aa425a81f1893d1d4}}, {{cite:36c3e4be300334ae7226bf99b592119c5faa42e2}}. In particular, quantitative measures of stabil... | i | a2baceb532fa12bd6a1a58c8b8e18390 |
We now discuss the consequences of the presence of a large permanent dipole in CdSe nanoplatelets. Such an important permanent dipole moment will affect the colloidal interactions between NPL and strongly impact their colloidal stability in suspension. {{cite:94cdff2129793d587e04e516709c630fd8f5dc29}} With the particle... | d | ab3b19f01b508e9b65d02b6affde4bda |
Our objective is to train an embodied agent to learn both action and perception by moving around in a physical environment. We assume the agent is given access to a perception (object detection and instance segmentation) model, {{formula:90453824-1ff2-4208-89ee-39dbd9e69d89}} , such as a MaskRCNN {{cite:c686675eb75ecb... | m | 9a3d6071e0f3ad01d61d347ed6bda7a1 |
So as to avoid confusion with the vertices of {{formula:cf7b94a7-6dc1-4389-ae63-5269a6c2f806}} , we say that the elements of {{formula:2f978730-369a-444f-a01c-bb7a41dc7f01}} are the nodes of {{formula:543d477f-0571-4e11-b189-a81b03ab933f}} . For a node {{formula:6369f011-65d8-4a9e-bcfd-2d9c56317b76}} we say that the ... | r | 6c05ba6a5eefe3c988113da2224dbd1b |
Our method v.s. patchmatch stereo. Our method shares high-level ideas with traditional patchmatch stereo works {{cite:b96c5bbd005a1efa816f3225b6afddadab1c6a17}}, {{cite:ec95b82d876faaf40c7f28b1aa8e59fef9944497}} which aim to estimate a slanted plane for each pixel on the stereo reconstruction problem. However, our meth... | d | d6fcb7afa6082c45cfc210bf5713a246 |
Please note that Formula (REF ) refers to the general case of uncorrelated degree sequences {{cite:ba6c928131a586727ed9b6488acdae88672041f8}}, {{cite:a4dad8ee2321925714c65c66b60c06bcb1555778}}. Networks generally show a degree-degree correlation which can display a positive degree correlation in the case of social netw... | m | f257361d7fbc92db3925711fdacb6258 |
Action Genome. We additionally report recall, mean recall, and harmonic recall values on the Action Genome dataset {{cite:ae5d8d5f7501c8827ae0917a5806dfffe650b4e6}} in Table REF . Similar to the observations on Visual Genome, we observe {{formula:c1d75687-c5df-4175-b297-aae26feb88ad}} higher R@20 and {{formula:d6d4e78... | m | 27da1440c8bccfbf985ed3fb50cb72d6 |
The directed power graph {{formula:29a583b3-7f7a-4ad5-808a-e301db181932}} of a group {{formula:74fc3f16-a41c-4c33-af6c-b6b422116f11}} is the digraph with vertex set {{formula:99e0165e-f540-415d-a5c5-f81204aa91b1}} , in which there is an arc from {{formula:821cfe6e-be41-426c-af45-606b244bfddf}} to {{formula:2a8542cf-... | i | 1ea0c843cbed6dddc6c948b2ab9f9eb4 |
Notice that, at the initial time {{formula:98bdb663-0cba-4ca3-82ac-3c58c7777ebd}} chosen in our problem for the causal scenario, the maximum spatial PMF scale {{formula:691a279e-2c7d-4f1b-ba14-f0b11970d3eb}} occurs too small after its following growth till present time. It grows upto the scale {{formula:9009bf85-1ddf... | r | d0dfb3f535eb6e5c5a1432050788404b |
Throughout the paper we use the notation {{formula:cfde96aa-ce96-43d5-95e6-42cd29679b51}} from {{cite:c7486aa6c5846e7bcd7f7e36876de54d0a14b1ec}}, {{cite:7450a448921b5ec2a9f59bd2321e86ab650ea4b6}} to denote a tensor formed by contraction on some indexes of tensors {{formula:3eb4e4f2-a472-4a39-a056-8943cf1e6e52}} and {... | r | 06724845fdcec827ec0250f8ce0e7a01 |
Although RRs are a rising research method in the medical domain, they are barely known by the SE community. To the best of our knowledge, our recent work on RRs {{cite:b2582603d2f3fca88adf71b78f2d96b52f7d5f50}} is the only one reporting experiences of applying RRs in SE. In that study we observed that practitioners wer... | i | 294deb33875d43c2ffb12e52bdabbab2 |
Comparing for model size the proposed DTCN outperforms the larger convolutional Conv-TasNet model {{cite:65f34f3adac907ce7b24707eee13ef9752e58eef}} and recurrent SkiM-KS8 model {{cite:e5749a9972aae12e13ba53aa5d44ed3903e38485}}. When DM is used in training, the DTCN outperforms the much larger convolutional SuDo-RM-RF 1... | r | 317d544a12067489a4e4cbef0c5804fa |
In this section, we will characterize the complexity imposed by the EQPO Alg. presented in Alg. REF and evaluate its heuristic accuracy versus the complexity invested. Additionally, note that since we had no quantum computer at our disposal, the simulations of the QSAs were carried out using a classical cluster. Expli... | d | 7492126bff933594823bd9a5f90187d6 |
The fact that a large number of unequal overcontact binaries were observed challenged the argument from {{cite:ad3f22c7ba3604ec9b4cbc752be929e16cfe4ed7}}, who stated that overcontact stars cannot be stable, however it was shown by {{cite:5fc71898b69c85be1417f20e02e87f2d927680e5}} that for the convective envelopes of W ... | i | 34ffba1bd7bba1c78dbe34e7670c48f2 |
We adopt the DA scheme used in the DailyDialog dataset {{cite:a881ee555af277b52e5873ac407cb4858027b475}}, while it should be noted that a wide range of fine-grained DAs have been proposed {{cite:69beeb1eeeb1d6e59d9cf678ed372539b20f8568}}, {{cite:2df45b6ec6c9422941f534ec8efedeba08ce4341}}. Besides semantic meaning, huma... | d | 2a63a1b42cc78a569b69c7b734380e3a |
In order to verify the performance of the proposed method, we conduct experiments with three different dose levels: 2.5%, 5%, and 10%. Meanwhile, several state-of-the-art LDCT restoration methods such as BM3D {{cite:9a5ed4ca94cb2dfbff0c4bee4b929e667aced06a}}, DnCNN {{cite:2e5d7eac73c201b6e3f415fb6dc6fab0fbf72946}}, MAP... | m | 0949ee4ab47f9bbad2751b5f9e06886d |
where {{formula:73d4c2fd-dcfb-468e-9424-ea7cbbcc34fa}} is a three dimensional vector field.
Since {{formula:d643e457-1b21-41f2-b42e-e6a526cf48d5}} , each Beltrami flow gives a special solution to the stationary Euler system. We refer the reader to {{cite:e0ce54f83de908d7d286dfb54e65d28c5ec0df3c}} for the basic propert... | i | 4293115c10281a2bfc780746a70ec8e1 |
The conventional double averaging corresponds to the secular approximation at the first order in the magnitude of perturbation, indicating that the approximation works well for those systems with high hierarchy (i.e., the systems with weak perturbation). Physical hierarchy is measured by the separability among degrees ... | i | 1f3dd7dc3df55247ec1880343a5348ba |
Studying data corruption in ML dates back to the eighties {{cite:06459415f69a1441f7f30e14efcf5d3a6ac6fa2b}}. Remarkably, the first twist models were assuming very strong corruption, possibly coming from an adversary with unbounded computational resources, but the data at hand was supposed to be binary. Hence, the featu... | d | e2263250e0750fd0b1cf394ede62be9d |
The first part of ass:intersample assumes that {{formula:0dc4670c-091f-4a0e-8589-dc94e478784c}} such that all training inputs {{formula:5e69f2e4-284b-4aaa-bc13-1a42b02782fa}} verify {{formula:c3aa6a63-e92e-46c9-9687-7f4193de94e7}} .
Note that this equality is standard in some kernel machine algorithms {{cite:cf4c182e... | d | 83d4338123fd8ecbc93aa8fa48dd62a6 |
The goal of this study was to investigate the potential of explainable deep learning algorithms to identify and differentiate KD from acute febrile diseases.
We therefore selected several well-known deep learning algorithms (VGG19, Xception, ResNet50, ResNext50, SE-ResNet50, and SE-ResNext50) to distinguish incomplete ... | d | 12e709fb5237e925bf8608ad0dd22c5b |
Quantum decoherence has been a subject of active research over forty years and various methods had been proposed to interpret its mechanisms quantitatively, for example, einselection {{cite:69396d78797065f797121e15b8d85520e1d144a3}} and semigroup approach {{cite:23b00da666a4a089a20f1b89a7552216fb91212d}}. In this note ... | d | 6371fd7539d63405c8700c53157c57e4 |
Therefore, a first grouping of style-oriented paraphrasing methods is
determined by the types of corpora which are available to develop a
style transfer system: a handful of studies relied on
parallel corpora {{cite:3c36b070d1a5beff102efc087d277a90cfceb2ba}}, {{cite:775d06e95233e21cd7ec7c8e13d0033e2ad091ad}} or perform... | m | 1e53aa453a95a757754e9080d21162e6 |
One of the most important experiments is the CNN backbone selection for SAR-APD, since the choice of a feature extractor is a fundamental aspect of solving any object detection problem {{cite:f18aad29d3283a8f9422735c44fd9deee0c7b20b}}, {{cite:9dccd89d9f8e06fc66f88c358e61d418a6ace23a}}, {{cite:4283525c44d6cadf4c68539e55... | r | fdc46baff51d2ba3d879c5e8633f6fbc |
We use the NCEP/NCAR dataset {{cite:70015f02b86e343be112a1134b06d42b11168934}} of monthly means records of air temperature near the surface and the world grid cells ({{formula:525f5716-4578-4a87-ae81-8f5ab2fa53a1}} latitude {{formula:f84e35f0-2ec8-4e2d-bd4f-5878719195f0}} {{formula:8056f3f5-82c4-4de1-9be4-8050fb57935... | m | baf4a50a63debfaa44fd731e2e71e32b |
Recently, the problems outlined in earlier works by {{cite:42533c3fd0e3567921bfb88a636fcebf606d9b06}} and {{cite:e98dc7261f7d4acc59daa61f195f090d83482dd5}} have been ascribed to a “bias” in the Civ{{formula:c71ab450-2a43-4b3b-8eb3-f239032a5353}} 1549 {{formula:f2d9a067-ef85-4d4d-bb21-2be1bc65a5f5}} estimates {{cite:53... | d | 75b1b0e3c3160b1ee7cdf6541500878d |
The development of BERT-based models for entity retrieval faces a major challenge: there is limited training data for the entity retrieval task, and fine-tuning of BERT in data-constraint regimes leads to instabilities in model performance {{cite:4619e7505e5c79ca20fea02b4de89772109a7611}}, {{cite:da3e8507e7c41d6a921ad4... | i | 662c8faac7535f9b56aa256c95ef8152 |
Fully convolutional-early fusion (FC-EF) is considered for the supervised change detection method on the OSCD dataset.
In this method, the bi-temporal image pair are stacked together as the input.
The architecture of FC-EF is based on U-Net {{cite:7b634078d429d0c06fdf7bfa26e8ad367ebecfca}}, where the skip connections b... | m | b6fd78f3c7f41b7ec0f08bf5cb046190 |
In contrast, the treatment of unequal binary configurations of extreme Kerr-Newman (KN) BHs {{cite:1a81fbf6effc5c5f27fcfd26f60a4e5d14fe495a}} has been a fairly complicated problem beyond our possibilities, due mainly to the fact that the axis conditions are not enough to define properly KN BHs, therefore, it is necessa... | i | 62d96bde53e5a46d60ffc9a1742109c4 |
Single-parameter PH. When {{formula:22c8af84-f3c7-4f84-a4b1-87cfbe31626d}} is totally ordered, e.g., when {{formula:17c4b877-c841-4339-8cb3-ae7f68f998ae}} ,
then applying the homology functor {{formula:7ebd4fdb-a769-4dc3-ba9b-6b4fb58587c3}} for a field {{formula:d8493146-36e4-4e18-8441-0b109b432927}} to a (single-pa... | i | ab95af6a9788f620c046831d55f2b7cb |
In contrast to the intense studies of deep Reinforcement Learning(RL) in games and simulations {{cite:c456d305df6df8135c143aad767a91567535c061}}, employing deep RL to real world robots remains challenging, especially in high risk scenarios. Though there has been some progresses in RL based control in realistic robotic... | i | 6afd5906649b532117e96e26d257b3b8 |
Full-gradient Representations of Neural Networks. Srinivas and Fleuret {{cite:ffb892b998958622f2cb77d66c8aa3ea8f9d972e}} attempt to reconcile local and global perspectives on variable importance and introduce full-gradient (FullGrad) saliency maps which assign importance to both input variables and feature detectors ... | m | 537e7ada84745b57fcfe978a53211acc |
Black holes have fundamental importance in quantum gravity. In fact, it is a general conviction, arising from an intuition of Bekenstein {{cite:bd07640f06456be9673fa05908df38f6df0612b6}}, that they should play the same role in quantum gravity that atoms played in the nascent quantum mechanics. Bekenstein {{cite:616251... | d | 0b667bd4e7e8303c1c1ad7cd6f4bff65 |
Our study has investigated a novel task in animal sound recognition,
approaching it via two polyphonic sound recognition methodologies related to those previously studied in environmental and bird sound.
Overall evaluation figures are comparable with the state of the art in these neighbouring tasks {{cite:340e5945bb029... | d | 2c30ca614171497271374244514ad9c8 |
A final innovation concerns with the loss smoothing for non–regular minimization problems. This practice is often employed when it comes to optimizing non–smooth risk functions and consists of replacing an originally non–regular loss with a tilted one, which is almost equal to the original except for the fact that is u... | d | 4c4ee164875dcfff0e34270f47143dc3 |
In this work, we show that the Einstein-Podolsky-Rosen (EPR) steering inequality {{cite:5e8013c8088460dd91cccfbd5934df56092fb4cd}}, {{cite:340e788e477b6f28bbbb74757f0a258eff21eecb}}, {{cite:ec4e24117e08305cad50459beae6d5f7c5643fb3}}, {{cite:e1a281e9c1d4900472a6e8a99f53954dc1526bc9}} can be used to obtain a witness for ... | i | e8dc668c4d0b9f593e315178f5d3fd00 |
The state of a highly deformable object cannot be captured by only its position and orientation, since the object deforms during motion. Hence, we represent objects with point clouds as observed through depth cameras.
Recent neural network architectures, such as PointNet++ {{cite:1ee176102fd32ec40d0317bf7d53d8c46468c81... | i | 564d885e345bae1bdbc963c9b2f21793 |
Another common mitigation strategy is to split the training over
multiple computational nodes {{cite:2cbd82f7ef4565208ab019d7626b73c3cd5df527}}. However, this
incurs significant message passing overheads and costs for hardware
with low-latency interconnects. This strategy can also be wasteful if
the peak memory consump... | i | 04f41474db0698615f7dfa777c83b0d2 |
{{formula:5a92b67a-4e6d-40da-b606-68a7e106599b}} -BPS states have recently played a crucial role in analyzing the duality between Type-IIB string theory in AdS{{formula:d7f2af16-1276-4710-a938-b2195050dd62}} and 4D {{formula:dc454560-9041-4f24-a2aa-ea6ea7f83f07}} super-Yang Mills {{cite:2764b9c31c149484136481f30419aa... | i | 8889df2105d818048f3f13e2332ff717 |
We have explored the time evolution of CBPs orbiting low-mass short-period binary stars to further explore how tidal effects and stellar evolution impact the habitability of CBPs. We first revisited the STEEP process with the CTL tidal model and included an evolving mass concentration and discovered that they predict a... | d | 74688716e26078a327693bf8e19363a5 |
The velocity auto-correlation functions (VACF) also confirm the effectiveness of this simple threshold splitting (Figure REF A and B). Indeed, slow and fast endosomes have very different VACFs. Ensemble-time averaged VACFs (E-TVACFs) of fast endosomes (Figure REF B) are positive as expected for super-diffusive motion. ... | r | e636f9594efe67dcd3214cd05a9339f5 |
Vector Quantization (VQ) {{cite:4d52fcb248812ff9cb9f2dbf25686f8b79761014}}, {{cite:faf5d0b55bacb48e236f6738619766cbd09c715a}} is a topic of vast interest, so that we shall briefly review only the literature which is most closely related to the topic of this publication.
Suffices to say that VQ is widely adopted in spee... | r | 3df4c1ac2c0314877b1fdc704090a0c1 |
Some generalizations were already put forward in the original work {{cite:dd75c203c11c971c433b2b643007e2a418432a73}}. These come under the name of q-complexities. In fact, the authors argued that Krylov complexity bounds the growth of the OTOC, that arise by choosing inner products of the type {{formula:1c6dddbd-cb34-4... | d | 93545142c67d368870c561ec029ede00 |
Regarding the density environments, most of the bent FRs in our sample are found at densities of 1/Mpc{{formula:c965c391-2498-4eaf-a712-2be23bb468d9}} (Fig. REF ), with a handful above densities of 10/Mpc{{formula:3e8627e4-a5a2-43dc-a489-eda4917e1022}} . The mild relation we find between FR type and BA is interesting ... | d | 693153a485f3356034c20775cbdd28c6 |
Usually, {{formula:b51ef667-a7ff-46d4-9331-6a1714b34c79}} symmetry in the SM is considered to be explicitly violated
through complex Yukawa couplings {{cite:574075338fe3f006a927459b4c951dca54ab450f}}.
However, alternatively, the {{formula:fd9cd819-9392-442e-a6ba-839059f24f2a}} can be considered as a
symmetry of the m... | i | 4d292fa3d7d6f350109e94d4918e0020 |
where {{formula:53b9387a-94ba-499e-be2a-e8afbca8d8d6}} is a real constant. This form is more convenient for our consideration and for the case of {{formula:e55543d2-8849-4c08-b74e-096ad445ae10}} , it can be obtained from (REF ) via Gauge, Galilean and scale transformations. We will adopt the Kadomtsev-Petviashvili (KP... | i | e80875c80cb8dacc7f197c3d5c3175b7 |
The poleward enhancement of the {{formula:c3ad6447-3f25-4937-9a4c-7cce67f21bf4}} -ray flux as {{formula:cd468007-2de4-435d-ae36-f7e234c72a8a}} , indeed,
is unaltered if we adopt different BH masses.
This is because the magnetic field lines concentrate
toward the rotation axis as {{formula:bf6a20b2-bcf8-45e5-a275-95d839... | d | 632ffd440f97b6c1f06cf33ac9afe8dd |
In Figure REF , we examine three deconvolution methods, including an {{formula:b19cb725-5ca3-4fdc-9728-1c656b07ce1e}} -penalized method with a soft threshold {{cite:c04f567a1a7f90ef604a50b60455ef34a5f1f415}}, {{cite:c18667ae8bd9a159bda85cd391cc402426493a91}}, a method with a hard threshold (i.e., positive minimal spike... | m | 3ee291e647c53a585ea676c74f5be855 |
The motivation of perusing dilaton field comes from the fact that
this field appears in the low energy limit of string theory where
the Einstein action is supplemented with other fields like axion,
gauge fields and scalar dilaton field. The dilaton field changes
the causal structure of the black hole and leads to the c... | i | 4b77383fd4d76463f20e5f6aa32be69b |
Remark 1.1
The initial data of form (REF ) are essentially the “short pulse data" first introduced by D. Christodoulou
in {{cite:122c73e491e5dcf26f973a4689bd660828da562d}}, where it is shown that the formation of black holes in vacuum spacetime is due to the condensation of the
gravitational waves for the 3D Einstein ... | r | 25f03b3fbcd8644ed6f28f61357563eb |
We define effects that contrast potential infection outcomes when the infection history is either held fixed at a deterministic value (controlled) or integrated (marginalized). One advantage of this approach is that it permits definition of causal estimands in which the infection history of others (or its distribution)... | d | 0f650b47addfffdad1b5d212ace96ee2 |
{{formula:132c6a2f-c6e1-4749-adfe-c61939ebc2ae}} , for {{formula:bcd5a44e-e2b9-448e-907a-56d238f01335}} 1e4, and {{formula:5cddd6c0-b3f0-4a60-8a1a-8c73b9a26ed2}} for the Ikeda systems and the Mackey-Glass systems with {{formula:a2356880-098e-4bcb-af57-d36040917fc8}} or {{formula:1f7ef60f-c30f-4663-90ca-d0851e37973a}... | r | b3d9ebd25748a7d7d4f5490c682b6fea |
Several approaches as {{cite:045c5eb5370a832231a7d3c849cfd36eb59ab74d}}, {{cite:b3e275f5c7fe6f24e31b4f8eb55224436a461ed0}}, {{cite:31dcd117fa7ef72f6c88b5804db51b03e537a524}}, {{cite:41facabf582dc96eb7cfbd4d9b6fcd5835f8560a}}, {{cite:e8b298681bb31aefaf9499fcf0d93a834a1539ec}}, {{cite:d7bcab9a213faf1511c92f6ec4b4e2c41b8f... | m | 30851689415a404600d29eb3344a71e4 |
Following our previous work, we solve the TF dynamics model (REF -REF ) using an application of the method of lines. The spatial derivatives are discretized using collocation at second-kind Chebyshev points ({{cite:5e3b5981e7d2c8d7e6161e12d2fb5161713b8f7c}}, {{cite:ad6be3176048482a2c1e06594aa4be411c2d9584}}). We enforc... | m | 87f8061f7ecee7b884ad6480e8976911 |
All calculations were performed within density functional theory (DFT)
as implemented in the Vienna ab initio simulation package (VASP)
{{cite:8ab0c61903fd0b0b95588bce88c7f18bbca4c5b7}}. The interactions between electrons and ions were described
by the projector augmented wave (PAW) potentials {{cite:cfee7b00b68b53cc8a... | m | 1f0d6d31352cde2ac34f97b680a447dc |
We visualize the embedding space (projected to 2D using t-SNE {{cite:a6db3366da70ea9e777df5c84c87513151425a69}}) in Figure REF , with just randomly chosen ten classes out of 69 for clarity. On the left (a), we see constant bandwidth CQFB features ({{formula:f4358f5a-65b9-4c96-9e98-d068fa4cbe96}} ) fail to recover the u... | r | 3cfd5b63c22f00f94719654bb7792d58 |
Considering {{formula:75941b55-a3f0-4cf8-86e7-9e61e34eb918}} in Corollary 3.10. in {{cite:a60b508789669504c0895ba7d77f90ed604ca8a4}}, recalling that {{formula:c3012d80-4c84-4dc5-83d7-a7d2a1bb8f04}} satisfies the uniform exterior cone condition and {{formula:6fa8ca2b-31e5-43f2-9a3a-e332e48d96a8}} is continuous in {{f... | r | 3c624de50d1d238241f531bf7abc1f91 |
However, there are two problems that have been persistently neglected. On the one hand, most methods model spatial patterns and temporal patterns separately without considering their interactions, which restricts the representation ability of the models a lot. On the other hand, neural networks generally perform better... | i | e21655dbba7c2d5c8c31c7d544083539 |
The second group of datasets contains images with possibly simpler foreground objects but more challenging scene configurations or background parts. Visual scenes in the CLEVR6 dataset contain various objects and often with partial occlusions and truncations.
Following the evaluation protocol in IODINE and Slot-attenti... | r | 8fee93131de8e5e660a3873d68264c59 |
Influence of Molecule Fragmentation.
Here we show proper molecule fragmentation methods are vital for the motif-based pre-training. Given different molecule fragmentation methods, different motif vocabulary are generated with varying sizes. Other than the fragmentation method introduced in this paper, we also try othe... | r | eb958b3ef60fce7aa16226ace6c9b361 |
Understanding user questions.
The framework is modular to enable different ways for communicating a question to the AI system. Depending on the user interface a question could be given in different forms, for example speech, visual gestures or text input. Different technologies can be used to translate the question in... | d | 6009a2cc169a88c768bc93c404f2cd45 |
Here, {{formula:859acb75-0562-4321-848a-b2f1dae1e79b}} is the instantaneous eigenstate of the dynamical invariant {{formula:f80ce897-0940-4652-82ae-9c8280993b4f}} corresponding to the time-independent eigenvalue {{formula:c788c2f9-6d84-4fb7-a95c-4276315688c1}} , and {{formula:5ae24d6e-ee18-4c99-9484-189f3b190d6a}}
t... | i | dd6d04a65e0e9b77e3d50120d1915fe9 |
In this section, we carry out an experimental analysis to illustrate the comparison of utilities for histogram query of the shuffle model using {{formula:b6e4cd44-59fa-4659-982b-e41b2aea85b6}} -RR local randomizer and the optimal Gaussian mechanism using synthetically generated data sampled from {{formula:d4a422b1-b78b... | r | 27d74f78c3ba6d792aa65ea6e6874b2e |
We start with revealing a discrepancy between token-based pre-training (e.g., BEIT {{cite:f31983dc446fa3734e7625e042fe246b75403db2}}, MAE {{cite:5fc35f306bb3db2a330547ce532e5b3d17e7d111}}, and our work) and image-based pre-training (in particular, contrastive learning, e.g., MoCo-v3 {{cite:02d92285c2f8ce8e2d627d9da1fce... | d | 783bd99dd407b5660ac7cf2384dd8cb1 |
for some matrix {{formula:562a5ba8-7335-4f9e-b4d1-8d5fc54f028d}} and vectors {{formula:47265402-18c8-4fab-8bee-a92229f90b98}} . By taking the inner product with {{formula:96d0f579-feef-4024-9fab-cc5c7846b6e8}} in the above equation, we obtain
{{formula:22bda47a-5f24-48b7-a02f-72f41e00e75d}} and then derive {{formula... | m | 87ce9c453e0b954f8ff2096ec7035d5b |
Lemma 2.5 ({{cite:1538f30d7c5521ed241324576908bdeb92ba9ab4}})
Let {{formula:6ec07d99-593f-4972-bded-9f433f2433b8}} , {{formula:98ab4aa9-d6bc-4ca3-bebe-8db928872f33}} be arbitrary, and {{formula:8026c375-4d21-4f0b-ac5d-94ee019889d5}} .
The zero solution of the equation
{{formula:d88273f7-f302-4658-9e6a-44f46f985e44}}... | r | 7794a3276dc95c1ecd33da2f4efc03a7 |
On the other hand, Active-iNAS {{cite:6af90f979978bf97c242a70d141664761a16e8cd}} notices that most previous DAL methods {{cite:feec1d2d6c354197370fc32b1a03d2b253cf78de}}, {{cite:7cd6020eb8f3e86e38163034ed08fc0e2388584b}}, {{cite:129ebc2ba29b9c46d6dd925471c85e4579c5cfa5}} assume that a suitable DL model has been designe... | m | 10080da76e0c72cf056f9a1e945cd2cb |
It is valid for all {{formula:9b99355c-6eb9-440b-818f-6590d584c955}} even and fails for {{formula:9e43c4b4-b585-411e-b31c-2baeeb58e0fd}} odd.
In the course of proving several conjectures of Chen and Sun, DeSalvo and Pak {{cite:f29eed49a0ecd25a28340ddc8878fa4a8a6f7bf8}}
reproved this result. They remarked that due to ... | r | e565bb976204a4a9820668522d07c0f4 |
To show the efficacy and efficiency of the proposed approach, we extensively evaluate our model on a variety of datasets and architectures.
In class incremental and task incremental sequential classification settings, EFTs achieve significant performance gains on CIFAR-100 {{cite:267d8ea75e3821d93e74f999b8e7a5c9b0cb012... | i | 930a483e69200cb6ab4d83033bb177f0 |
An analysis tool for multigrid methods is the Local Fourier Analysis (LFA), introduced in {{cite:e4ee9df5fa77294916cb03748251030385360cc0}}. It can be used to study smoothers and two-grid algorithms. The technique is based on assuming periodic boundary conditions and transforming the given problem into the frequency do... | i | 14956447d17a89728036a374628c750c |
Since the FDA of the present paper gives the minimal model of Chiral HiSGRA, it contains the same information as the BV-BRST formulation of this theory. Therefore, one can address various questions (actions, counterterms, anomalies, etc.). For example, Chiral Theory was shown to be one-loop finite {{cite:825bca954467a9... | d | 4b2b040197db10a40e011d9d3ad49465 |
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