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Experimental Setup. In our experiment, we evaluate the performance of ScatterID in both indoor and outdoor environments. Specifically, the experimental settings include an office room with a size of 4.5 m {{formula:862ee761-fee4-4ec6-b20e-8b15b092c916}} 5.5 m and a building rooftop with an area of 8 m {{formula:41e267... | m | 663582f070eca830109f4b286e8d249c |
Despite this result, the finite section can perform quite well. This is the case for self adjoint operators {{cite:8d60b2b5d1cdbed4dc2572e4fc0e7917b1fffeb7}}, {{cite:218c72a85dffb7d0877bf233b6d89a41ff8cc4a6}}, {{cite:c9b9c9ffa8731d0875ccdf7ba479a2b5fdeda76e}} and it is also well suited for the computation of pseudospec... | m | 04ca361f302746f087b5a1fb2485feb2 |
Various constraints on the translation function {{formula:6d008817-890e-485b-95c0-4f7975949d6c}} have been proposed to remedy the ill-posedness of the problem. For example, cycle consistency (CycleGAN) {{cite:12b4bfa097d8a11abda415987ec9138325204154}} enforces the cyclic reconstruction consistency: {{formula:ee14df58-... | i | 5d000ed7d087d5ad1bad2b5f83749e9e |
Our proposed algorithm for computing the log-concave MLE is given in algo:smoothing. It relies on the choice of a smoothing sequence of {{formula:f911c0c8-a39e-48fb-bda6-b9a6778b8b7c}} , which may be constructed using Nesterov or randomized smoothing, for instance. For a non-negative sequence {{formula:241a04d5-5ffc-46... | m | e95f9270c5d5f1494038d175a2beea38 |
To explore how the network is able to distinguish between different lymphocytes so successfully, we use stochastic gradient descent (SGD) to optimize an input image {{formula:d26cd2ff-c0a3-4bcb-ac14-ea4d115b2f97}} set uniformly to the normalised mean of all training set images to maximise output logits (raw outputs, w... | d | 9fd0144a872b4fa1fcc80ed454e7c3a1 |
In this section, we show that the proposed agent is able to outperform the human benchmark in all 57 Atari games, in only 390M frames.
This is a significant speed-up compared to Agent57 which requires 78B frames to achieve this benchmark.
Figure REF gives further details per game, about the required number of frames t... | r | 4e5d0af83a10f908b202f20fe3161cff |
where {{formula:eeb35739-42dd-4694-9364-cc5610f849d9}} is a convenient inner product in {{formula:5b8cd490-632c-4e31-a46d-40be997dad19}} such that the equality (REF ) holds (see {{cite:c9736365471bbff0b8a10dd77f8956199b23f28d}}). Notice that a possible choice for {{formula:4fc4309f-2dca-482f-b70f-3b722068a982}} is t... | m | 7aa93d9b5f6159a280055a604bf7e25d |
Another obvious direction is to extend the current formalism to Baryons. Doing so will determine if the current formalism can explain the experimental puzzle that at LHC energies {{formula:7c031c6f-7f1d-4f20-98f7-5e1a98660b2f}} polarization is consistent with zero, while spin alignment is not {{cite:442cf0373a34572874... | d | ca3c99f8919a32dd1a3eac999c62094d |
In the following part, we further review a representation theorem in {{formula:c7819219-8061-4229-bb2a-8cfaae300b22}} , which is the cornerstone to construct our proposed nonlinear {{formula:acebb5db-5828-41d2-ad6a-4d06258f9f13}} -SVM.
In mathematics, there are many closely related variations about the representation t... | m | 068b60fc651e9aae50fe05fa534c368e |
Conversely, the right plot of Fig. REF shows that, if multiple planets sculpt each disc, then for eight systems the minimum-mass sculpting planets would be too small to also stir the discs (to {{formula:6067b814-c0b2-4206-add3-cdbc6e72b7fc}} ). These systems are {{formula:56717210-f0d2-4cf3-8ae2-4fe6960377e1}} ({{for... | r | 7868b1648ebdf8b264dc043b1f26a803 |
By introducing a dividing surface and defining its potential {{formula:d0d4113c-7707-4d2e-877c-35dc04c4feab}} and corresponding concentration of electrolyte {{formula:22d0b2b5-79e8-48ed-b881-e24e630d1c33}} , the expression for the apparent slip velocity can be derived from the asymptotic solution for a flow in the
inn... | m | 0c9f2aaae80754fec6251c74cc9c12de |
We employ MontePython {{cite:1c9cf95339f5b01a8354ce85d15275d341275380}}, {{cite:41ad97d9439de03fbe2bc019c6e25ae0c495d40f}} to explore the parameter space of our CDE models. We use the regular Metropolis-Hastings sampling algorithm {{cite:a95f7d1a966fb5f475d8703c917817eb7dca26e9}}, {{cite:bcca5fc80980e40f5285e6dfea9de42... | m | 2520d6f2e4647010a4cf50a567729a15 |
The 1st quartile, median, and 3rd quartile values for question one were {{formula:0bbf7f94-e282-43f4-952f-9e869fa81e52}} , {{formula:28bdf529-bf05-4e28-9069-15af736df135}} , and {{formula:d71e7a4a-28e6-4b79-b32a-60f380431bbf}} respectively. For question two, we define orientation error between two quaternions {{formul... | r | be727fb5400c275e81535134d6a5b4e8 |
Then we can solve {{formula:1c34b815-d2c6-4c59-82b6-7d6fc0d003d8}} and {{formula:7a2998ff-4d92-480a-84a9-faf57c9f59c2}} on the same mesh by using the DG method. The LDG method shares all the nice features of the DG methods for hyperbolic equations, and it becomes one of the most popular numerical methods for solving... | i | f2a7af3f1433456a6a79e7805aeb7a18 |
Larger LMs plagiarize more. Consistent with {{cite:38e4916376a8bb83c4f525995dc2edd37d4405ce}} and {{cite:029c9fb0f37116a5ac58aaac5769f0bae857d172}}, we find that larger models (large and xl) generally generate plagiarized sequences more frequently than smaller ones. Based on the decoding approaches, however, the model ... | d | 3a7f692241f5a791c6935daf07bf4e6f |
We agree that on-shell we have {{formula:ad9a70f3-99e4-41e4-b790-7aef3b06d1a6}} for the total system
(gravity+matter). But this does not cancel the anomaly of the local
gauged conformal symmetry which is supposed to be a local symmetry in conformal
gravity. Analogously, {{formula:33747cf4-aa48-454c-887d-9535bd65840b}}... | r | 01ba1982e0e6cffc2db81ae266e33333 |
We can see also that in the case that both the metric 1 and the metric 2 are two flat metrics, like in our studies of cosmological solutions, or for the warped spaces in the case the warped space REF is defined with {{formula:cf5b0321-6f2f-4e07-bb7b-7c7b45b2bf44}} being de Sitter and not the more generic Schwarzschil... | d | 8e8c5002f1cd6f428ce33ee6b00adab3 |
These challenges open a number of interesting questions for future work.
For instance, novel uncertainty estimation methods for deep neural networks {{cite:9c176e0468e865a59bc79c38599c8b6cabc4c253}}, {{cite:c2d0805a9437b9f0c9b701ed53ec923d211edd10}} can be employed as proxy for assessment of segmentation quality upon p... | d | 18b5f8e313facd27aabcd5d1d2382226 |
Note that the fault-tolerance bound cannot be beaten for any arbitrary pairwise communication {{cite:c2a94f472b292916343089f78e0d6dc535514ac7}}, {{cite:57c9270a9cbf2747be93a28233981f31d7ae9fe1}}, {{cite:89ba41c9b33ab6e2e28a2a4884d44023d441010f}}, {{cite:d4fd7caff46f86191350875d1f46ae488706bfde}}, i.e., not even quantum... | d | 0de9b5b092366859a11ab933dd81c73f |
Relatedly, information theory has often been invoked in explaining complexity {{cite:bd873b7e791fda360f1efbe91b136d2daeb0fbb1}}, {{cite:da37bce73ae0e4b72c2cbe2b6bcda9636ee90722}}, {{cite:b7fffe9ef05e7c128cf0b5bcc1564a77b47ff9e3}}. Specifically, it has been hypothesized that major evolutionary transitions involve change... | d | fe6877ac2063965d5878be12665cbc31 |
The spectroscopic [Fe/H] derived here also agrees with previous
spectroscopic analyses. {{cite:fe7664b44ae241401009f7eec706dcd53b70b381}} obtained CaT spectra of
individual M31 field stars, including at least one star that is a
likely member of G1 based on its radial velocity; this likely member
has a CaT-based metalli... | r | f5ac129d891ab884a2468bc3a1183b3e |
Considering the applicability, image dehazing can usually be used to the preprocess step of other computer vision tasks. The proposed image dehazing algorithm can be used to assist object detection, as shown in Fig.REF , which is the comparison of object detection results before and after dehazing with the proposed UR-... | d | 30a5f8f5952cb1f9f806be2303f2c2ad |
The standard feature representation choice for music alignment is a time-chroma representation generated from the log-frequency spectrogram. Since this representation only relies on pitch class information, it ignores variations in timbre and instrumentation, and is not adaptable to different acoustic settings.
Using n... | r | e1bc9388a7f96a6fa87194c82b84da94 |
Other bi-class tasks The proposed SCAST can generalize well to other bi-class detection tasks. We evaluate another two bi-class detection tasks on vehicle detection and pedestrian detection. Experiments over the adaptation task GTA5 {{cite:140b1f7123101d761976e6b7e4e29fe93445540c}} {{formula:afea3388-44b7-4ecc-aceb-d4b... | d | 6b8d945d9b8e368e3f21080188715bde |
The Weis multiplier theorem allows to deduce the {{formula:8dbc1be6-1db4-4bdc-9078-1e7b05779423}} maximal regularity to problems connected with the fluid dynamics. We refer to {{cite:4591c567c73668b253569429ca83aad8ba191ec7}} and {{cite:dcea05b2a9ba092e3cad20e8d36fd35b80ba8673}} for the comprehensible decription of th... | d | 8e8b302ed82bdccb057effafa5c62872 |
For the second strategy (w/o detection and w/ correction), we just select clean labels according to the activation scores from initial CAM. Similar to {{cite:b7b6a365bd61ed862cfd69a0d7d468273ead0aca}}, we consider pixels with activation scores larger than 0.3 and smaller than 0.05 as foreground and background clean lab... | r | da00611d1c6dd2e98f61a2d6befc4e5f |
In our method, the proposed comprehensive and challenging DUTLF-V2 can assist in higher generalization for our models, and the three distillation schemes aim to ensure better absorption and integration of focusness knowledge for the student. This enables the student no longer need the focal slices but a single RGB imag... | d | 86da5acc8e5cb278f069da64f35579c7 |
Graphene has recently attracted intensive interest as a promising
candidate material for the new generation of electronics and
spintronics {{cite:35ff946e8fa269c9bf362f81048159afe21f7a6a}}. One of the exciting physics on graphene is
strain exerted on graphene samples {{cite:1727f5fe575616161870c77ebe77d0db26771d05}}, ... | i | 135901019eefc927c12cb25dd1e038df |
The particular novelty of these solutions is that, unlike previous small data solutions {{cite:3d4ca8a5c8ab0cfa1fb4be3bc16c0e062f9dd9c1}}, {{cite:205134ff43f67dd3afce7fecba721658d6bb2d97}}, {{cite:d7e4e2dd35770cd5bfd94a09c8b544d9db6b0ea0}} for {{formula:f12f6b0e-829b-4003-8716-ff61b8cc05bb}} and {{cite:e3835ac77af6442... | r | dae93e8452a0b8142fcd4cda5e366217 |
Theorem 11 (Slepian's Lemma {{cite:fb7c1f43008823a63dacce6683ac0914c5c909e7}})
Let {{formula:044d51cd-a50a-4caf-a0e5-25bcdaa22739}} and {{formula:c66ec7d7-c35a-45b1-a4ab-f53f6c9cc78d}} be mean zero, separable Gaussian processes indexed by a common set {{formula:c94601e1-6ec4-4107-956d-ded910e64330}} , such that
{{fo... | r | 9b926e6b2cc1320035706597068bf498 |
Our proposed approach is presented in Figure REF . Given the input image {{formula:11abc7eb-05c9-4263-9dc6-889821e4c6aa}} , similar to TransUNet architecture {{cite:55bc1079557578a5a5fe27a346d0c1d62434337e}}, our proposed generator network {{formula:374c32d3-3170-4521-9101-4bdbdb20b905}} , termed CATformer, is compris... | m | 96b288bd70c26b0e59b6bf10da9a7907 |
In {{cite:eec8748f546422fc3b6e55751605b5ba9aa56631}}, the authors provide a method for the matching problem by reusing eigenvectors.
We here develop a power update method to resolve the above difficulties with a similar spirit. Specifically, after obtaining the whitened (orthonormal) vectors {{formula:412da52e-d01c-4a7... | m | 79257cf044bea480bbf2801f0652e01a |
Of course, in spiking neurons the true gradients cannot be computed because the step functions used as non-linearities are non-differentiable. However, surrogate gradient methods {{cite:ee1891525ea5b2c2d143badc14cd271c9bcddb51}} used to approximate gradients in spiking neural networks can naturally be incorporated into... | d | 7264f56b62d369945a1861eddacbee34 |
To address catastrophic forgetting, regularization-based methods protect the old tasks by adding regularization terms in the loss function that constrain the change of neural network weights. Multiple approaches have been proposed, such as Elastic Weight Consolidation (EWC) {{cite:09352b741944d0c2d7cbed4277a4369eeaf941... | m | d3d10b23d8df052130eabc6e87969737 |
Table REF compares our approach with common long-tail methods on CIFAR-10-LT {{cite:158eb812d7b3bc773fefdd9ae90f44e2ffe301e8}}. Our method outperforms all baselines.
| r | 0992f5a96617771c69bdce272de463b9 |
Deep learning algorithms have outperformed the state of the art in many biomedical image processing tasks {{cite:99107a4893c7283ca2a5cfe5fc8db16751eafaaf}}. Shi et. al. {{cite:dbaa800b495d20a5c7c7881709cca32d053c7101}} applied a cascade of Quaternion Grassmann average layers to develop an unsupervised deep network for ... | m | ba756ac696b482aa35f7be4879c4586c |
We first re-established the known results of the entanglement entropy of a single strip in the confining phase, however now, in the presence of a magnetic field. In particular, a phase transition from connected to disconnected entanglement entropy is observed at some critical strip length in the confined phase, at whic... | d | ea8dc87821a6c848c5cb075ed28a6a3e |
It has been shown that the Lattice Linear Predicate (LLP) algorithm solves many combinatorial optimization problems such as the shortest path problem, the stable marriage problem and the market clearing price problem {{cite:c925fcbc86f6c231bc50a36584542655a73809ec}}.
In this paper, we show that many problems that can b... | i | 01c388f75a2132acad8d8556235f4dc2 |
Remark 4.3 (Hard-SVM)
The dual formulation (REF ) is the one used for solving linear SVM problems (see {{cite:fa8a36bdd542f23a7d17a1bdbafc15dafadf62ed}}). Indeed tackling the max-margin problem via its dual formulation (REF ) is popular, due to its favorable structure and there is a very rich literature on methods to ... | m | a6aff01dc9638df424f9d9e1b1c86f30 |
By using the hodograph method, Courant and Friedrichs in Section 104 of {{cite:ed7e3b9e0d4a0e82bb0dea6933fd0d37e1a06e1c}} obtained some particular planar radially symmetric flows including circulatory flows and purely radial flows. Their superpositions are called
spiral flows. Weng-Xin-Yuan {{cite:75e7e2fc46ccdbef0d9aa... | i | 507eee781c0f2843758ca837e9767caf |
Efficient posterior sampling for Bayesian statistical models has attracted
a substantial amount of research the last decades {{cite:2cac35503e27b090153006489cc9dda9b030d32d}}.
Riemann manifold Monte Carlo methods {{cite:c2eac8fcd8142d0aa81e4b47f6ad65348933d9ff}}
are in particular well suited for posterior distributions... | i | b5b079bd5745753f78fbd2e10a9c75ac |
The above discussion lays out our strategy to prove that PMF dynamics with zero refractory period represents “physical” solutions, which is one of our main objectives.
PMF dynamics are of special interest because they admit an explicit iterative construction in terms of well-known analytic functions.
Moreover, PMF can ... | r | 818ecfa1ee527178ef0a8d82c51784e7 |
Results on ADE20K.
Table REF compares the segmentation results on the validation set of ADE20K.
With the ResNet-101 backbone, ISNet {{cite:4cea26f17e18c11b4b54c1f5fefd321d2b9593c3}} achieves {{formula:b1b03032-d948-45b7-9a9f-84154a9a2610}} mIoU via integrating the image-level and semantic-level context for semantic s... | m | 00b40599418c811db259b221aa06db19 |
{{cite:801d6f40d7af80afd03e85086317d3536e9aabcd}}— Using the redshift evolution of the neutral hydrogen density inferred from observations of DLAs,
these authors calculated the evolution of elemental abundances in the Universe based on an analytical model.
From this work, models with a mean metallicity value (not corr... | d | b6bf28617a1a2c71791c41bfbce9800e |
Further, we have identified the disk precession rate, which encodes disk symmetry about the origin as a key diagnostic of the disk and eccentric binary response. Future work should also carry out a quantitative investigation of disk eccentricity in our scenario, as studied in many previous works {{cite:35405deb69f938b1... | d | f6b58f217cbd28c99cdb95587ac56400 |
Recently, game theory has emerged as a significant framework in the study of multi-agent systems: the agents in the system are modeled as agents in a game, each with its own actions and individual rewards that are functions of the actions of other agents. Some prominent examples where these models have found success in... | i | db289e6b5db5b92b8d45256e52a2e4b4 |
In this study we use popular evaluation metrics such as HitRate, Precision, Recall, MRR, MAP, NDCG, and RocAuc. All the metrics, except for RocAuc, are calculated at depth cut-off 20. RocAuc was calculated using full predictions, except for the training data. Evaluation tools we used are our own library RePlay , librar... | m | 6db85a6c21ab5e9b96d685c4e18f5725 |
Our method combines image generation with face feature extraction and reasoning. To this end, it builds upon PULSE {{cite:705b2f81afc60e3a0c165c8630ad4e06208361b3}}.
| m | 2f064240ad4b68b8c947565ef5bc904c |
Setup.
We conduct comprehensive experiments to show the effect of WT-AWP on the natural and robustness performance of different GNNs for both node classification and graph classification tasks.
We utilize the open-source libraries Pytorch-Geometric
{{cite:4d0a4813348935da408af32a1528a6955804825c}}
and Deep-Robust
{{c... | r | 67cb6fe298fa608b48a2eb6103152ed8 |
The Bayesian approach gives a distribution, instead of an estimated value, as an outcome which is more informative than LS. Compared to ML, where parameters are considered fixed, in Bayesian method they are treated as random variable with known prior distribution {{cite:10ac2cf90f785e0f868adde622503935796fa09b}}. Based... | m | f04dec14f357facfb77d6b0e9ddc8b87 |
Lemma 4 {{cite:f4dd03f18d9cce5b6dda77abff430e65309441b1}}
Let {{formula:49c01ee3-a58b-4e0f-b2ad-7f4401790813}} and {{formula:eecc0127-3bee-4f8a-ac57-e00dc6447b74}} be connected graphs, at least one not complete. Set {{formula:3ead585b-b4b1-47ad-8487-13cad8d2df72}} be the minimum size of a {{formula:66d57348-6f19-4f1... | r | c9758dacd1f4a0a0186d2d4649803bb7 |
Table REF (c) shows long-video classification results on Charades and Kinetics-Sounds (KS) when pretrained on Kinetics-700. We test Visual-only (V), Audio-only (A), and Multimodal (M) settings to verify the benefit of multimodal learning. Because there is no published self-supervised learning results on these datasets... | r | 98e753c0119041c0c393b2a102ddd37a |
With the rise of CNN, learning-based methods have become the mainstream method and have achieved tremendous development.
These methods usually use CNN to estimate {{formula:6cc1979b-7ae9-4938-8f6e-95e57c9e7950}} and {{formula:49c5408f-13b5-4884-8688-2b2097c00359}} or directly recover the clear haze-free image by an e... | m | e81f5f6437b0eb7e665477bd46143306 |
Data and task based multi-modalities fusions take the advantage of the complementary information and increase the robustness {{cite:898a96698f4fc447450a4b57c066031263d1bafe}}.
Meanwhile, AU analysis relies on the facial muscle movement, the RGB-only detection methods are insufficient for recognizing subtle changes.
Tha... | i | b4f246c1c9dc71ad9a3e27faa5636163 |
The training and validation errors of the models were recorded and are be reported in Section , however they do not represent a complete measure for the performance of a generative algorithm. In generative models, the goal is to be able to learn the generative distribution underlying the samples used during training, w... | m | b5d9b35d9d96bbecc86f0857a427d2ea |
Fig. REF (right) reports the length of paths generated by the different planners for the same set of start and goal pairs. The paths generated by CCGP-MP* are shorter compared to the paths generated by LQG-MP. CCGP-MP* is able to generate optimal paths because the underlying planner of CCGP-MP* uses the RRT* algorithm... | r | 3edf581bae078860b72edb963f7ece11 |
Some of the small clusters are not as well separated as the best clusters in Table REF . Their {{formula:c50d0694-1125-4cb6-879e-e13385d8fdd3}} -values exceed 1/4 (cf.also Table REF ). Evaluation function {{formula:213968b5-f6e7-4277-93ec-8c327613b487}} is always larger than the escape probability of the random link-n... | d | 3eda745d8ced5a9fd0d93d162eb15f31 |
Following the same settings used in the datasets experimented in the
main paper, we also apply leave-one-domain-out evaluation {{cite:d52e36231fd03a87ef84b5fa30eccab069fb5a5c}}.
For a fair comparison, we follow {{cite:431f24a26ea8ac2f8ad60920bbff628fbbd6e1f2}}, {{cite:47733cbdb52c5c615d47e4273484f32391bf0aa3}}
by using... | r | ecfdf449e798a4e0bb38c0b042dbb869 |
The 2006 September 9 UT Spitzer spectrum has been previously modelled with Dusty by {{cite:3b24c31267028e20f692080e6601b71fd0bbe6cf}}. They obtained a reasonable fit with a higher dust temperature ({{formula:771edcf3-d937-461a-8d84-d4866f12e529}} K) and larger optical depth ({{formula:dfc1b34b-685f-4ce3-b675-4b77b1b5c... | d | 055a7f386571dc33bddf9bf4a8e80e55 |
To extend gravity beyond general relativity,
“teleparallelism" could be considered by using
the Weitzenböck connection, which has no curvature but
torsion, rather than the curvature defined by the Levi-Civita connection
{{cite:b637c3536617ecaf41d4b265907bd5c4b9ec038b}}, {{cite:9ccd38fbef4e88a2b879dfcb69c3ff8fa5548199}}... | i | 60a1b4f5c32f09dac9de55c4d8d7ee57 |
These results mean that it is quite challenging to compare our theoretical and numerical results to existing experimental data for the diffusive evaporative model. Since our results concern the early stages of the development of the coffee ring, we require mass profiles long before the final deposit, which is by far th... | d | ae0d9bcbb558b08978d971c34fc71660 |
If {{formula:de0916d0-ff45-4bc7-b6aa-4d8fb46cb7bd}} is an ample line bundle, then we define the slope of a vector bundle {{formula:c3da05c7-ad66-4e29-9710-1e2bd4011af7}} on {{formula:b3db6488-59e1-4aa7-adb8-30e120643056}} with respect to {{formula:06aee132-96e7-48b0-a50e-5f3701239e91}} as {{formula:ed791eba-7375-49... | r | 7c5827762efc1a41adb065d5cec27f8f |
Following the progressive elaboration levels as in the previously shown quark pressure approximations, we first
illustrate in Fig.REF the results of using the simple perturbatively re-expanded approximation
for {{formula:3a09a56d-10e2-45fd-ae85-b79d51257616}} , Eq.(REF ), for the quark contribution, but supplemented n... | r | b424866d101f8e481eac68710a318492 |
We suggest that these errors could be averted by applying a different approximation for the leading-order behaviour, such as rational approximations {{cite:3163c74bf14ce407fd5b65fb3913f27776af9278}}, {{cite:fd1dcfeccf96065b01152af6ca7dc4298721fc07}}, which can approximate the leading-order behaviour to arbitrary precis... | r | 1758986e5c6805b2dc200827911bf821 |
Moreover, although the proposed VoxelMorph-based cardiac motion extraction method can capture the frame-to-frame motion with sufficient accuracy, as shown in this work, our ongoing and future efforts are focused on further improving the algorithm by imposing diffeomorphic deformations {{cite:ab26c72682392a3d7e15ab77b47... | r | 320ee231c1c07b3ba88c43c2ae346b92 |
where {{formula:efe49f27-197e-4a6f-a944-63b1701da3a3}} and {{formula:232858aa-1aec-40b6-a62d-5de8d4657dd4}} denote the probability measures
under {{formula:f9a71958-9f51-40f9-8543-fba6c07979c3}} and {{formula:5f62e660-1a2b-4b4b-a1b0-48520cc6bde5}} , respectively.
A test {{formula:99d04efe-d680-4399-8521-394cf279cc2a... | i | 945f8eee03524df5cf2a8a7d7c1223ed |
The next generation of gravitational wave detectors are expected to come online in the 2030s. Those set to explore the milli- and deci-Hertz regimes, such as LISA {{cite:49099c748ca28f20613878c4c453862ba27b13e7}}, Taiji {{cite:bece08eeae89ffacd334a596ef2288212432dc42}}, DECIGO {{cite:2287b3332c9c9f71c18fe5afab186b61cb1... | i | 2dac5a01a2dabdad5855bc2a6f94a0a9 |
Deep neural networks (DNNs) are remarkably successful on handling many computer vision tasks, however, they have been shown to be vulnerable to adversarial perturbations of inputs {{cite:23e54cea81062008f2e2d1a96735cc2a887bd25a}}.
The adversarial perturbations are physically and digitally distorted input examples that ... | i | 470215cce38fe1a09796aac479486520 |
The key idea of the proposed MMFF is to combine the temporal feature in the skeleton modality with the spatial feature in the single RGB frame. In this section, we first present an overview of the method. We then briefly review the ST-GCN {{cite:cd8cf187ddfe4a3262808969f8a0ada3b78068e7}} and Bi-LSTM {{cite:42662090928e... | m | bbc7e3a0e8e5a0a4006ee46e25e24209 |
DeepFool attack {{cite:ca9ddc08912329ed2512bd5bc99bcbe8e4a004eb}} The perturbation is updated by {{formula:e77f6085-6ca8-461c-a66c-278d58671937}} , where {{formula:6ce8ac17-b8c8-4bb8-b55d-13e4d8987128}} maps to the logits of the classifier and {{formula:1bc09e3f-320b-4cb4-8197-92f3d842c0a1}} . Similarly to the C&W at... | m | 0758bd51d9d8ad34a2dbe1e0afaeb937 |
In this work we introduced a method to search for simple neural network architectures with strong inductive biases. Since networks are optimized to perform well using a shared weight over a range of values, this single parameter can easily be tuned to increase performance.
Individual weights can be further tuned from a... | d | 0bd58a2242e94e1ef0cf6185e89a120e |
The results above connecting both the radio and {{formula:c938c83b-302b-4846-8fb8-de2becae3322}} emission from low luminous compact sources to magnetically dominated reconnection processes in their nuclear regions, though preliminary are very promising as they suggest a unifying single process of relativistic particle... | d | c27a92a395de936cbef77a5be307577d |
The mixed performance of D-MPNN {{cite:28ecf919688987f033a210ab7973448e64ac4874}} on QM8 and ESOL may also be due to the basic sum readout function. However, the ability of D-MPNN to surpass the performance of the standard MPNN + set2set readout on QM8 indicates that global information propagation bottleneck is actuall... | d | 098871d38c79ef4caf727b62afbac1e7 |
Existing DA algorithms {{cite:de14cb969f9b29730fb9b1d501dfd9c52e18c3d7}}, {{cite:4e9db683e5017f69d122df50e574b56e600de7c1}}, {{cite:8eecfe0dc98dc9da694352116ed539ba7894cefc}} train target models and then use the target models to classify all samples in the target dataset. While this approach attempts to address the pro... | i | 0ced1e8f2d7d23224b4a75a63e875e6b |
Conventional adversaries reveal intriguing properties of the learned representations in deep neural networks.
However, as a means of attacking real systems, they pose limited threats outside of the digital domain {{cite:9eb2aceb57f45f9d97caf58642c26fdae5ac798d}}.
Given our results and related work, a focus on adversari... | d | bbe3bb2122c9efef247fbd953f6fe368 |
For variables associated with time-series data, dynamic linear models (DLMs), an important class of state-space models, are used to provide a description of the time-varying relationship between a collection of independent variables and a response {{cite:7047e93f62c8ba9556a8226baad20adb599a9521}}, {{cite:544cefdb5be5d4... | i | 939a8939a40c9acefb0943d0d395b723 |
One of the main limitations of PDPs is that they bear the risk of providing misleading results if applied to correlated data in the presence of interactions, especially for nonparametric models {{cite:1ac05c4450418906396071e9ef417301720ed37b}}.
However, existing alternatives that visualize the global marginal effect of... | d | ee8f35a667acb267f885c593b3eb0126 |
where {{formula:be8a6502-edfa-4032-a630-13c39b775c99}} denotes the original signal. For achieving an optimal value for {{formula:70e910cb-b311-429f-a832-717b8bd141a8}} , often a costly optimization formulation is required since the difference between {{formula:c9afd680-0363-4c39-87b5-25badea0ff27}} and {{formula:a7cc... | i | 75e019f522ebe32f261014dd4c293e88 |
Token Semantics Analysis of Source Code When compilers translate source code to IR, partial semantics of tokens is lost since all variables' names would be automatically normalized and replaced by LLVM value identifier. It may lead to a failure of semantics analysis as important information is contained in the varia... | d | 5a356e7bd52097622b3f93ff9d454323 |
We will first take a look at the claimed performance of the DP-Fed-Avg GAN. {{cite:5bd1e0b7ff9c17bd3a8b167eb27f678bed1039e7}} claims that the DP-Fed-Avg GAN reaches an epsilon of {{formula:a85d2192-ad36-4f68-9bf6-10052bcf3623}} in the simulation run in code. This is far above any useful privacy, as this basically mean... | d | 25f279659acfe03d4dc5f039a27a56f2 |
At least in the present scenario considering a two solar masses collapsing star, it is found that the torsion contribution in the stress-energy tensor is comparable to the dust one when the radius is of order {{formula:ae4759c4-634d-433d-880c-efa602c53030}} m. At roughly the same radius all the energy conditions are a... | d | d21b5713e3ea01d88c0897245a1594bb |
In a separate study, {{cite:8060bb0dad094329f60943e10fc37d5eb20d475a}} resolved the Fe K{{formula:1028dbbc-213e-414e-9367-0e7cba1f6bb2}} line region in Cyg X-1 through spectral analysis. The Chandra X-ray observatory detected the source in an intermediate spectral state during these observations. The authors observed ... | d | cb6685c4e0f0e3f4d0c57a1b8c70ae81 |
The rapidly increasing size of deep neural networks, along with advancements in design and training, have made them perform well on a broad spectrum of tasks. The large-scale models improve predictive performance but significantly escalate production costs with slower inference, in particular, severely limiting the ado... | i | 4c000d77d5dea703cec14042b3cad78b |
It is to be noted that the present reasonable success of the SCM, which assumes no geometrical {{formula:58327b73-bd39-477d-bcb9-ab3c6d044ff4}} cluster configuration, does not mean ruling out the geometrical {{formula:bac5bb59-097a-4956-95fb-e54c3a38cd63}} cluster model. It should be emphasized that the SCM only desc... | d | a13f898f2c9f019c3d09a100def2e973 |
we consider the class of General Linear Methods{{cite:881410cbf6911c857bc8698fbb5f9a672b37125e}}, {{cite:4c4c47708a47acf541430120aa43fe7c579dafc8}}
{{formula:746743c0-7eac-41b1-bed3-954c962a4196}}
| m | 9ad39b7b532647abdfc852bc15c74069 |
Atoms cooled by DLC in the tube are detected by measuring absorption of a resonant probe laser in the direction of the tube's axis, as shown in Fig. REF (b). The The diameter of Gaussian probe beam is 1 mm with intensity around 100 {{formula:ea098e52-d566-4072-a4fb-a9247cb59631}} W/cm{{formula:4b2fa546-cafd-431a-9885-1... | r | 6e7e85e654e17cdbeaed19cf7cdde53d |
Following 't Hooft, we will use Feynman diagrams with double lines {{cite:ca830c26a78014350dc491c6dc2710996da7aa11}} in the planar limit{{cite:f6d4a3192a3a99208ff0c8fde8a0594662d3813c}}, when {{formula:e9c23a0b-86e6-4fa4-9e24-f0b84fd47270}} . We will calculate the planar limit by the following expansion in Feynman grap... | m | d8ce1542b579b8563b1bddc85e27d463 |
the gradients {{formula:d87e48ab-05c3-4ee3-95fb-d5194225f94f}} converge in direction, then the limit direction {{formula:95a46837-3ccc-46df-b1ab-91dc3ddf5b35}} is given by,
{{formula:d5fd5956-4e19-44d1-834d-9822ce6c6157}}
We already see how introducing a single convolutional layer changes the implicit bias of grad... | r | bef3a8c815ecaf726df3c15d0b01a295 |
A large number of attribution methods have been developed relying on the gradient of the decision studied.
The first method was introduced in {{cite:0bb828bf18a3898ba80368d670a35b6c320783f1}} and improved in {{cite:f628d9a53d4bc05e59e1e7d346de1d9dd12aecfd}}, {{cite:567956029bb58264ee42ca09b0f085bc817c68df}}, {{cite:5... | m | 1d0356c567bd273139a69e961b0d3334 |
An efficient way of implementing this scheme could be to create an array of traps by using an optical lattice. By making use of the superfluid to Mott insulator phase transition it is possible to achieve an array where each of the traps contains the same fixed small number of atoms {{cite:c8c2d06f0c22d4ab81db9935925c10... | d | 2763e1862b5e4600ce2688269ebb7b20 |
Our main results are summarized in Fig. REF .
We find that the magnetic fields whose coherence length at the EWSB is larger than the comoving neutron diffusion scale at BBN
are completely ruled out since generation of the correct amount of the BAU and the small enough baryon isocurvature
perturbation cannot be satisfie... | d | 4607fb13363d594f9d4ce8b5c5d9a8ff |
It is common to consider a LED model with a dominant extra dimension {{cite:38b01de72974379cb99b29a20904506ebc2dd585}}, {{cite:2c396b68541d75fbac637430c23f0775c23abe67}}, {{cite:d418d61e0f4c40fd9d48d14a601327b0c4afa610}}, {{cite:8ca56d315a22fcba516e4c5620ecd8c120dfd431}}, {{cite:58ad3d4c98d7ecdb925b1b67855a5ba83a3aaf6d... | i | a46f9bdae0e6c6d1a9656645fa11b2f1 |
To resolve the inconsistency pointed out by Bell, we must, at some point, determine whether
projection is a real physical phenomenon. The demonstrations of superposition in systems that
have become entangled by interactions span an impressive range of physical
situations{{cite:9129d865261ae87437aa202ec4362b2e257c5c87}}... | d | 7d5907459caf8ccf31f361b25a4a3024 |
Goodfellow {{cite:6898dca9164a24af8e02a30d927c50eebcc692f1}} developed an effective white box attack algorithm, FGSM, based on gradients. The idea is to attack the model based on the gradient direction of the model loss function. When the model converges, the weights are fixed. By computing the partial derivative of th... | m | 2c2c55ec7c9a201d9c734f5574e30b7e |
The best models are Lstm and BiLstm. The best overall model is
BiLSTM, which outperforms the other models on half of the
tasks (SST-fine, Opener, and SemEval)
and consistently beats the baseline. This is in line with other
research {{cite:14e54af63291cce55ba7888d9c2f7446cdceb396}}, {{cite:9316f7037dee8fd62f94b75b98a08a... | r | 4e1e4e8c811665535845cbcf57cc66ed |
Another cost-sensitive method for mitigating bias is the Exponentiated gradient reduction {{cite:93aa8548c31d862baa479144f94b85edcb537075}}. The algorithm consists of a sequence of two reductions aiming at yielding the classifier with the lowest error in the context of the defined constraints. The metrics considered fo... | m | 14b79b0c9a31b82ea74355207444f99d |
Another two important differences between Swin-Transformer to ResNet are: 1) Replacing the pooling operations to Patch merging. 2) Using layer normalization (LN) {{cite:af3272198cddf760d7b9417433a6beac082cbd8d}} instead of batch normalization (BN){{cite:6a0193df0d000ac23645a973b0ec5fee0b33213d}}. In {{cite:2dfc8796028a... | d | a83c7f9a08d36a40287d15acf2aebf2c |
The dynamic properties of AR-VTG are presented in Sect. , divided in different subsections, were the dust core is considered.
The study of the internal core in comoving coordinates leads to, as in GR, three possible families of solutions
that classify the spacetime as bound, marginally bound or unbound {{cite:bd5c24dc2... | d | 52f195a8e7147c04647cbdcb18c886de |
Among these works, NeRF{{cite:130efedcebaef0e902915fde98773b2a063202d4}} is a representative method that incorporates a part of physically based light transport{{cite:17a8c1240a08c8d220d4f5f326b6e2eb5e8ca53f}} into the neural field.
The light transport describes light travels from the light source to the scene and then... | i | bf3890838a61cd4753d21cafeecb20fd |
Graphene synthesis and transfer. Our graphene synthesis and transfer procedure is a modified polymer-assisted wet transfer of CVD-grown graphene {{cite:76fdcb55c2d7f28052f29fd5b9c0848a1c5b80b6}}, similar to the transfer recipe from previous demonstrations of remote epitaxy {{cite:d3b628f0e07b517939334ab1929e4c249f9e052... | m | cbe5959798bba38276e85b4dd9e82222 |
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