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Choosing a non-standard {{formula:eb27d9c2-4d53-493b-9038-71a4963a0035}} from Table 1 contributes very little (less than 1%) to the uncertainty of a computed {{formula:9dc1545a-55ac-4eb2-92f5-9240c6a27257}} . Therefore, the largest error contribution, definitely, comes from the choice of {{formula:438f327f-1cc2-4e23-a... | d | 80562af8310dc8bc6dac1dba90b2815b |
The value of {{formula:650aae6f-2021-42f2-a6ad-22b4b8722d76}} is taken from the potential model calculation {{cite:4e5ce5bb4bc9640a42abe072532ffb91c750009a}}. For the strong coupling constant, we adopt two-loop formula as used in our previous paper {{cite:ed6dd4c4d89ea001724bb89c74f2f3967c57af5c}}, where {{formula:d9e... | r | 17ab8a2798ea41fb8da232b8904fa9ec |
Architecture and training. For all experiments, we train for 10 epochs using the Adam optimizer in minibatches of 8 images and a learning rate of 1e-4. We initialize {{formula:8ab3d596-2a0d-4560-a965-0fb5ab14372c}} and {{formula:e6f28882-1eef-46bf-9902-3c13cd027582}} to {{formula:09b4f414-1b36-4352-b58f-20e93e766e08}... | r | 6b64c60d26318f70ece6e55f590074d1 |
The 3-dimensional trajectory plot in each result section is accompanied by an X-Y projection for a better view of the trajectories. Detailed variations in the positions of both the UAVs and survivors are presented as well. The data is plotted using the matplotlib {{cite:1956d761abbe6a50d31a5e1a3eb48498703b2bc4}} librar... | r | b5ca7c69d5c296eb90d9444929f62644 |
We aim to test if different augmentations in each ensemble member gives better calibration, we use three augmentations:
1) Adversarial perturbations:
Images are perturbed to increase training loss, adapting the `fast gradient sign method' {{cite:20e3e4f1c9734b1bb5e3bc2b7dd7bdc3c3164c93}}.
2) AugMix: Augmentations from ... | m | 68ee5973edff624f7ecc2677e98d08a9 |
GAT.
In addition to more general ways of set aggregation, another common approach for improving the aggregation layer of GNNs is to introduce certain attention mechanisms {{cite:f7f478a65a73d9d428192ddfbe6f41ee269848fa}}. The basic theory is to give each neighbor a weight or value of significance which is used to weigh... | m | 149548a07e188ebfd3a2093249e59a5e |
where {{formula:9f402c54-786e-415f-b403-a2c96d50c504}} is the Fourier transform of the smoothed top-hat spherically symmetric region with characteristic radius
{{formula:fb4a4d1b-6429-4cae-a56e-7cb2d4a93431}} defined as {{formula:d654f7bf-5949-400b-baeb-f80140a5680b}}
normalized to unity. Then, the following express... | r | a85f97af9f59fe0269c6ad97459411a3 |
Furthermore, the Ryu-Takayanagi formula and its extension in presence of quantum matter can be obtained by replica method for the gravitational path integral {{cite:25bb474c7f384bc70995a6967aba1e2c0acb64ba}}, {{cite:8b353d3f9bbbf264e89ce6548c241f1419a38a28}}. This means that the island formula is also calculable by usi... | d | 70be275cfa1b3c7fcf2a547bcb05ed10 |
the entropic scenario plus varying {{formula:0b5d6fed-6989-4f89-9d87-e54cd388c545}} and/or {{formula:5f6e1a3b-7d70-4b95-952c-b64e4a624329}} is quite indistinguishable from a pure-{{formula:a4ad2e50-ac63-4c39-a144-b17d7bf3d8ae}} CDM model, that is why we call it an entropic-{{formula:efa4af88-db80-47f2-bdc7-81ad73c10... | r | 853d205e9f4c2b5697b62f8c36592d08 |
The initial Slater determinant was taken by performing a standard
LDA calculation. The molecular orbitals,
namely their expansion coefficients in the GTO localized basis set, as well as
the matrix {{formula:355fe5ba-47fb-4a2f-98ed-9cbcb9f9e4a5}} determining the Jastrow factor,
were simultaneously optimized with well
e... | m | 0a5805d2d4165bd4cc6f754a3d5c2685 |
It will be an interesting investigation to further enhance the LEzGP method.
Better strategies of selecting the tuning parameter {{formula:c117e1af-ef78-4e1e-9f9c-375c5ceed857}} need to be investigated.
Other methods in selecting subsets may also be useful in the LEzGP method, e.g. the localization method in {{cite:0d... | d | 52768b392f62eb34cb9366db230d0ecf |
The tensor product possesses a very useful property: the associative law ({{cite:43d1f7f1f51c029214e5d8b3735ef2d73d624f70}}, Theorem 1.1). With the general product, the following definition of the similarity relation of two tensors was proposed by Shao {{cite:43d1f7f1f51c029214e5d8b3735ef2d73d624f70}}.
| i | 36da8c6d914b4aea457fe90f12b2eb2a |
Our implementation uses the matrix and vector functions in the Basic Linear Algebra Subroutines (BLAS) for {{formula:764c9691-1214-4465-8b82-7d8dd74befd3}} and the CUDA Basic Linear Algebra Subroutines (CUBLAS) library for {{formula:4626c1f0-b874-4ede-a484-c0e5cd493d92}} . The routines used for computing the minimum o... | r | 99002f0b48d1907e2fb85e23f82d9747 |
Self-supervised, blind-spot networks have been shown to be strong suppressors of i.i.d. noise without requiring pairs of noisy-clean training samples. However, the assumption under which these networks were proposed breaks as soon as any correlation exists within the noise {{cite:bf898ab7942ecdad80653acfbf11052c57a46cb... | m | 406728be4f9172b2f77a3326703eb594 |
Gulrajani et al. {{cite:08c3fe0519b6d439cf378daed548377371986809}} WGAN-GP Google One Billion Words Gradient penalization. Visual Inspection Generated discrete data, yet not comparable to baselines.
| d | 4fa127844c386c0eb152031140272bdb |
The ANN-to-SNN method first trains the neural network with the rectified linear unit (ReLU) as the activation function, and then replaces the ReLU on the trained neural network with spiking neurons. However, the task performance of SNNs resulting from the direct conversion is generally poor. Therefore, additional opera... | m | 862e39563b924395edae769afd215f6e |
To construct the latent prior, L-BRGM relies on a pre-trained StyleGAN2, which is a recent state-of-the-art GAN architecture developed by Karras et al. {{cite:2461e6f6f412a6c7ea07cc0da47dc96f016e45f3}}. StyleGAN2 is an improved variant of its predecessor StyleGAN {{cite:1b80943cbe9c0912a4a4d21ef32a082d4793e977}}, named... | m | 874d0e88e1a1b533c3073efdf65e752c |
We have used {{formula:8c71efa9-8097-4763-bbc4-13ee597154a5}} as in {{cite:60d84fb35a171e7f26862665330b999b02c5cccb}}.
| m | 2e5600071fc47b719d4dca5b8e00f677 |
An alternative supervised approach, which requires a limited number of training samples to achieve satisfactory classification accuracy is representation-based classification {{cite:d7660d13a7082bc0a4bd156efec064221647a2f2}}, {{cite:44b42547db7026db1d855a5189bbf2dc701f4e20}}, {{cite:58050784f2f5de6d1c66b1d18b1b6b97381e... | i | d122677f9cdaeb365899ea54e6f72844 |
We are interested in the setting of switching bandits, where the distributions of arms' rewards change an unknown number of times, say {{formula:b7a451ff-504a-4d35-bc82-1af3101dd682}} times, before a time horizon {{formula:6abf49a6-af96-47cd-8c55-0d36229315a1}} . Performance is then measured by a dynamic regret which ... | i | 64cfe6cf87d1dd27cfce9dcd5d04bf0e |
In the first part of the paper, we take advantage of the results obtained in
{{cite:4d7755698fe3668cfd997dee156a9b6a87b07294}}, to study the retraction of uniconnected solutions by means of left braces, giving special attention on the solutions associated to cyclic left braces. As applications of these results, we ans... | i | b16e2cf0974e1dbe1cb4980a8f5f0d0d |
where {{formula:2f1d8d94-e66f-482a-a947-e8842bdbf51c}} is the critical exponent related to the change in {{formula:6ee080ea-986c-43fd-9d1c-3c369dbd3c79}} from applying the block spin RG (i.e. {{formula:d203e57d-5d95-4b0e-8215-e72aa6107730}} ) and to the correlation length (i.e. {{formula:4cb31391-1bb4-4834-87e8-93698... | r | 6e39e9c7787e1b8fe950d703a2ecc859 |
The electronic structure of ML black phosphorous is studied using DFT calculation using Quantum Espresso codes {{cite:9dcdbb88bb837cf055e34407ebc09766ba44e144}} along with PAW pseudopotential {{cite:6b0bd2272726078598b7b146bbdcfbded429cc28}} and the PBE functional within the generalized gradient approximation
(GGA) {{c... | m | 45884081c23691e906459d8e19bbc51f |
In this study, we convert a reconstruction problem into a GAN inversion task.
This work seeks to relieve the bottleneck and enhance performance using in-domain GAN {{cite:fa555241105212a069fe742895d6c3a4377d14f8}}, which not only reconstructs facial images from brain activity, but also reveals semantics of inverted cod... | d | 8f9126cd1ef57e2acf3b130b4d63592e |
For the most stable candidates
[{{formula:09d36abf-f586-44ed-a9a1-6047e9f3ee05}} (100-140 GPa) and {{formula:70100475-dbea-4118-a166-94c7d3800d30}} (140-300 GPa)
of LaYH{{formula:8ab4e5e9-cc4a-4a01-b45e-9b4fad41a2f6}} , for example],
we performed ab intio phonon
calculations to evaluate their structural stabilities
... | m | 3a036414b8b40933b4340e8d7b88d3cc |
Privacy Leak is one societal concern of zero-shot quantization because the generator creates synthetic samples that follow the distribution of real data.
As several input reconstruction techniques point out {{cite:96fd35d4a6e255e3d0f68e3139db44fb58ab75c7}}, {{cite:266255457060bcebcfed4b273ac95cb071f814ad}}, it could... | d | bd302a3b97686eee3932291674570c45 |
In order to assess the performance of our method, one dataset is chosen: DOTA
{{cite:4a8948993397e1e3093adaa695e3094d6b7b24c3}} which contains remote sensing images. It has 16 different
classes and contains around 400k annotated objects. These objects are
distributed within 2800 large-scale images and their sizes vary ... | r | ea3bdedb15d472c672f2906c4b70463e |
So far, implicit representations have been explored to model the 3D geometry of local shapes {{cite:fdd5413de70761d17297f76364cf66ea0863a579}}, {{cite:b47d563275877199872d627a2c0bcd0d08eaf5de}}, single objects {{cite:b3d4e3cf21849a7ac1804207c9328ca96e17efad}}, {{cite:5e74a35e77ac373ef172d57257d185a9f792acfb}}, indoor s... | i | 2edac8de91407c9ba0fb684e06dd3281 |
Proposition 2.4 (Section E of {{cite:4ffe7a4496ee7f707a3b97bcabbed387519ab203}}.)
Let {{formula:a784702d-8dcd-4e9b-8ef9-faa85101efb4}} and {{formula:2c1ecbce-1f64-413a-bd56-854bb3288979}} is a matrix with {{formula:f7552ee6-7247-471e-815e-e30497c4e34d}} . Suppose there is {{formula:59907ed5-5260-42e3-916b-e46ed83d46f... | r | 0a361545517555aefffd3899d831ea05 |
A detailed proof of Theorem 2 and Theorem 3 can be found in the Appendix. In order to illustrate the double robustness property of our proposed estimators, we borrow the idea of the oracle estimator {{cite:0304ba1c01832d77f063515df7114b02af67b14c}}. Define the oracle estimator {{formula:2d78fe25-a6d5-4e94-b372-047955df... | m | ce32429e3cb0520cd6503eae5c0af469 |
The recent measurement of the mass of the {{formula:33eef831-84a7-47c9-90e8-e2f21b8ed856}}
that we use to constrain our parameter space is given by (REF ).
We will also use the average published by the PDG collaboration, given by {{formula:d1dc1b12-6ac1-4f11-bce4-3d38cbb96932}} ,
to compare the parameter space that le... | m | a6a77135c7a2fa8f243c2c26a63d9e38 |
Once we have a mathematical form of the intrinsic interface, the density and pressure tensor can be obtained in a reference frame that moves with the surface, {{formula:708c1245-effb-4481-bb74-8610d864c433}} which has a different value at every point in {{formula:6ea3a99b-b57a-4830-b701-b1668a4307b9}} and {{formula:8... | m | 283fd911074d036bc71cd59bf2c9296c |
For task-related reasons, on the other hand, this evaluation approach lacks validity in terminology harmonization. When evaluation is based on one relation type only, there needs to be a decision on which relation type needs to be featured by an evaluation data set. {{cite:62be0c01690c53601c240f5a7caa9335677ffe76}} ass... | d | 0ac7ba14e89f223d9a8cad27091694a5 |
The above local stability assumption is also related to the Lipschitz sub-minimization path assumption suggested in {{cite:90d0d054d7981ed7a8286e7769b5ef35ddd176fe}}.
As discussed in {{cite:90d0d054d7981ed7a8286e7769b5ef35ddd176fe}}, the Lipschitz sub-minimization path assumption relaxes the more stringent full-rank as... | d | b759fd82e81577ae37ee4958b826e47d |
As a consequence, in order to find all meromorphic solutions of both CGL3 and CGL5,
only a finite number of possibilities need to be examined.
This is done
by two methods.
The first method (Hermite decomposition {{cite:d2847528071fa666422557ac3ee4b21cfed2958a}})
represents {{formula:2f4cda7f-e47b-4a96-8c84-3eba09b62179... | m | dfba1b7d6c73254f04eaa63064feb4e6 |
Be {{formula:15d4e8bf-bdda-467e-ba64-9e9f22490760}} and {{formula:c17a2973-f378-4a12-9e2c-afd62da00ae1}} the states of a two-level atom (TLA), with energy difference {{formula:eb0f70f5-24a6-48a4-b7ea-adf6183eb5e8}} , and atomic dipole moment {{formula:78fce1da-3561-46e7-8d42-541ad7c001a8}} . If we let this system int... | d | a56f0f244023d3c337551ef103f39133 |
where {{formula:75ecdd3e-fb17-4829-bf69-aa1c206909eb}} s are the expansion coefficients with the Slater determinants {{formula:2bc5b61e-ff29-494f-be66-457a91cf1b17}} s generated by exciting the HF wave function {{formula:1752d0c4-f912-4201-9d2f-df03e55f7f2d}} . Due to extremely steep computational cost, truncated confi... | m | 06f5d1e30da7930a73c8f5e779a21472 |
Classic: STP can be approximated by computing the minimum spanning tree of the subgraph induced by the terminal nodes. Given a minimal spanning tree, we can construct a subgraph by replacing each edge in the tree with its corresponding shortest path in a complete graph. We compare it as a classic algorithm{{cite:628e2... | m | 599ee321f7ee8d15e4f82e3e718fefe9 |
The calculations have been performed using Density Functional Theory
(DFT) approach with ultrasoft pseudopotentials and Generalised
Gradient Approximation (GGA).{{cite:6b808fd0d9084c2a5868faf624144b238f46d728}}, {{cite:953a8f5c7102c4ca06898cbaec65a35d49ec7af3}}, {{cite:5a75773a968b81fb2e772f87826fd64cd1b8852e}} We have... | m | 2b5cb38f9c7d12f3ee02c40a010a5de3 |
The theoretical predictions of current study can be tested on some state-of-art experiments, such as the Brownian particle system {{cite:70b6a306f4b7428c271b3942dd66b38c1f861e53}} and trapped ion system {{cite:97a62ed0349fd28cf6ac5f8faad6f91c2c9fdfa6}}. As a direct extention, similarly to the stochastic efficiency defi... | d | 69c664a4eb71b07652b5fd52e1f935b0 |
Other directions for future work include pruning on top of PCACE to further understand the impact of the top-ranked neurons. It would also be necessary to compare the PCACE rankings to other quantifications of the definition of importance of a channel, as it was recently done in {{cite:1ee77dae0f1ab0384eb667de23ef32aaf... | d | 0fce75a99f60028f8fb1f1f1f647f5e9 |
In this work, we proposed a novel framework for estimating stochastic sample trajectories that reflect prior knowledge about the target system. Unlike existing methods with OT {{cite:7a298230e9590982b6e5a64683c1b658a4ded272}}, {{cite:445db1e67a96b062697cb30b40e4df63f07e13ad}}, or CNF {{cite:97885a348f005ded941279ee78f1... | d | ee14d5c50d665f8ad352c2cb6911d3e0 |
The dataset provided by the competition organizers consists of the corpora {{formula:864774a8-d335-42f9-8a9d-ba6ec4edfbc5}} and {{formula:127d106b-96be-451c-b004-477e3c8ed6d5}} , and the list of target words for four languages: English, German, Latin, and Swedish {{cite:3f1bd776b2b7856c106ac3673770dd5f3449c885}}. All ... | r | bb4a494cdd47349ac8315b2ec6a9d991 |
Heuristic techniques that find satisfactory solutions to the Examination and Course timetabling problems have also been extensively investigated {{cite:c4e63d09105d953cab6e8f8da522c4271e11c6af}}, {{cite:4988fe5bdbfb12ebc1acd358a3a6b904f6c56ba8}}, {{cite:c0bf4bafb06fffebaaa94daa735ad3ca5ff69c64}}, {{cite:00ba31e69b8d565... | m | 2f873f4c5c4df2313383fa436f4cd101 |
when {{formula:e3048e0c-1c59-495a-a34a-9add4daa2614}} vs. {{formula:d17d710c-9478-4c5a-84f4-3ecc1933eca4}} when {{formula:d017ad69-85fe-4b3f-9c7b-c7e6e945d2dc}} . In MIMO,
it's {{formula:e921c4d9-7b56-4456-b508-00e504c5255f}} vs. {{formula:908b5ec4-9b69-4083-aa9c-d68bb3291cff}} . Because subnetworks do not share fea... | r | 7354577e9b9b6e4250035108a46179a0 |
We briefly consider the way in which our techniques fail to extend to Clifford+T circuits (i.e., including a {{formula:b0b99e38-72a1-4196-a80b-7c70206bc725}} gate for {{formula:5f8053c4-cdc4-4fd2-b954-1dfd6d45fd9a}} ), or Clifford-plus-controlled-S circuits.
Consider a representation of states similar to Eqn (REF ), i... | d | 93742da623088ecd5c98ef2406aa843c |
A number of approaches have been developed to accurately compute the energy that arises from electron correlation, which are usually carried out after a HF calculation, thus they are termed post-HF methods. The most straightforward is to consider the exact wavefunction being a linear combination of all possible excited... | i | 83cea80b6bf2d18f76ebda86ad2bc074 |
SCMs with deterministic relations have been considered in a few work. In {{cite:f3b9a16310ddc963faa326179446c0ad314c6539}}, {{cite:84c2aaa69c6be721f3916039688aa4140772c9a3}}, D-separationThis is different from the classical d-separation (with small letter d) described in {{cite:557bafd93d723bad5ad357b65bf97916027f8de9}... | m | aa415971f5196c38ec9f79a671b1ece3 |
for {{formula:de252ac8-b14d-457c-983b-bee7c65b473f}} . Here, {{formula:754e365a-8127-4905-a13c-a2870dd0d97a}} is the membrane potential and
{{formula:1cd33025-c881-4311-a22a-214e025b74e7}} is the membrane recovery variable. When {{formula:45fede74-72a2-4a0c-bd30-14f8c62cd74c}} reaches its
apex ({{formula:f518c7a9-d4... | m | 1322006d44b4da3c250941ed8dcd4e87 |
We consider first a {{formula:fa83f115-b999-4e59-a40c-e65fe409c500}} agent network whose topology is displayed in Fig. REF . The combination matrix is given by the Metropolis rule {{cite:34e1cc0454ee3f2492cf59a570d968528d116440}}, {{cite:d7b52bc1c73fbb6314acb502334997813c0723d9}}, resulting in a doubly-stochastic and s... | r | c745dfa14ba58f0ab99a16862381ce48 |
Problem setting and notation.
The paper tackles the problem of UDA for action recognition. Given a source dataset {{formula:13ab414c-365a-4662-82e4-4a05db59b60e}} of videos and associated annotations, and an unlabelled target dataset {{formula:bd3bcf80-cf06-4e0b-bcb0-a0d0d11aadb8}} , where {{formula:b3aaea71-cf3e-4074... | m | 6caed53b906d63ed0fada34e295eeb76 |
In quantum mechanics in the Heisenberg picture the state vector, {{formula:ac5eb4cb-9ddb-4632-8b2b-b9c5c4deaebb}} does not change with time, while an observable {{formula:2a31c757-f3d8-41a2-824c-34b11ddc5a98}} is a physical quantity that can be measured which satisfies the Heisenberg equation of motion {{cite:aa34b34... | m | 84bbc63403a181f05542ff8ae607e4fa |
Another constraint for this formulation is the cluster decomposition principle {{cite:f59ca79c56956200790b56fe22f33bf5340b1a07}}, {{cite:0f111a5e91965a6af26079155a25bd49bc746a1e}}, {{cite:5240cf4a032976b9e575c1218ef114cf10a2805b}} which may be stated that as "the outcome of a scattering event, in which two or several p... | m | 9e3a07a27ee02bcbcfe17e8a1be1a6b7 |
{{cite:076093606853b9e3bbb70076fdbdc18bf695ce25}}. Consider now the random variables {{formula:44339178-7536-4113-86db-142a89328e72}} and {{formula:53aa5d32-d702-4d60-8746-79395ffef25b}} ; then, applying the triangle inequality, for each {{formula:dcf3db34-d46a-497a-9331-03e61d82a6ca}} ,
{{formula:bb4b6802-4b62-4400-8... | r | 20b0b37987eca62d26926a78dce15381 |
{{formula:dd198109-75ae-4cbf-82eb-289362ef47d5}} , and where {{formula:f5b83311-7ca1-407e-82ef-8358245a9427}} refers to weights between neurons in the hidden layers, and {{formula:d0625d86-61b1-4834-8ed6-0d19d8c781d9}} to weight between hidden and output neurons.
The discontinuous spiking function enters the gradient... | m | fdc2a516735574b230063fc561140767 |
Because {{formula:22d31562-e9da-4a69-9f28-964952ebc316}} depends only on the band structure, we carried out the first-principles calculations to have a better understanding of the large {{formula:a52d1001-1032-4e78-83a9-78fd23f151b8}} in LiMn{{formula:0851b203-cdaf-44ad-8e18-2bae1ebf8a61}} Sn{{formula:bfee6710-67f7-4... | r | 375d278c381dee1842c8328a83dd1b8a |
Contrary, to learning a condensed representation of visual input. Our work proposes an MDP formulation to exploit the semantics of representations in pre-trained GANs to generate high fidelity images for facial aging. For this task, we have binned the continuous range of plausible age variations into consecutive bucket... | m | e582b523cc1a4b52081ed9b67114b0bd |
Finally, we study class 4 CA, which involve a mixture of order and randomness, with localized structures that move and interact in complicated ways {{cite:4b3e9856e42bae833dc0a7b490019d5d266f637f}}. A well-studied example of this is ECA Rule 54, defined in Fig. REF (a), which can be interpreted as a discrete analogue o... | r | 4be3ba979299ac32e4e7ecd6904cabea |
Recently, Chatterjee (2021) introduced a novel correlation coefficient based on simple rank statistics {{cite:3edf24a1227fd2783d442e4ea0e1ef1f515122af}}. His test has quickly attracted much attention as it is distribution-free, consistent against all fixed alternatives, and asymptotically normal under independence. We ... | i | 765f5094bf74fa3bb12b5641f0951d2e |
We derive the log-barrier algorithm presented in sec:algorithms first by approximating player 1's subproblem into an unconstrained problem using interior point methods {{cite:18774e28901377ef432bcddc431669f86f50f346}}.
{{formula:4af317e5-ee28-4a0a-93a1-0c895c2cb42d}}
| m | 009628986f43144818bb3572fccc8cca |
In this paper we add two attention modules to consider both global classification score and correlation in the spatial locations, in the segmentation predictions. As the first attention module, we propose to use a channel attention in the segmented output. As shown in Fig. REF , it multiplies the attention weight to th... | m | 2903731e5830e8f2e558cc709a99a31c |
There are several limitations to this study that warrant further discussion. First, we used only 20 volumes in total to test the segmentation performance for each device. Second, the study was performed only using spectral-domain OCT devices, but not swept-source. Third, although the enhancer simultaneously addressed m... | d | 5d88853a98151c70269418ea494e4cb5 |
The goal of this paper is to study the similar Liouville correspondences between the flows and Hamiltonian conservation laws in both the Novikov and SK hierarchies, as well as the DP and KK hierarchies. Furthermore, an underlying correspondence between the Novikov equation (REF ) and the DP equation (REF ) is also cons... | i | 2c0a541ce0c50fa30b795356cfffbd86 |
We first compare with the trained-from-scratch methods in Table REF .
We show the results on the test set with cross-entropy training and then SCST {{cite:8c96c78e74e1fd71f5e35332c7397869fea24b53}} RL fine-tuning.
With complementary information provided by the retrieved text descriptions and image conditioning, our met... | r | d2f8ebcfbd5aa4bce7cba9b138412527 |
In the literature, there has been a significant attention in UAV and measurement campaigns including several modes and scenarios. Considering the transmission modes akin to terrestrial ones, air–to–ground and air–to–air are the two prominent classes {{cite:043800f8a16abd3e15ad55e201d849886af4a61a}}. Among these two, ai... | i | d569b9af4e3e8407bb502035ac84feb8 |
The drawback of such a formulation is that it is unable to detect implicit targets in situations where the same aspect-category-sentiment pair has explicit targets associated with it.
Take this review for example: "Always crowded, but they are good at seating you promptly and have quick service."
[{service, SERVICE#GEN... | i | 4183c911ba04a8a4a0775d099f05d690 |
The ratio of the superconducting gap to {{formula:d7b74c24-51b3-44cc-83c0-8d62a6661845}} was estimated to be (2{{formula:9ad6b8c0-025f-40f0-b2a4-8cf27b6733ba}} /{{formula:51716b61-6f80-4faa-be02-8925f782d7e0}} ){{formula:a95ffab9-b153-4910-86f6-8935f69401af}} 4.2 which is consistent with the strong-coupling limit BCS... | d | b5260745f4d11e6721c805b074365d70 |
It is worth noting that we only quantize the weights and activationsNote that we did not yet add {{formula:2b78bb37-df30-4960-be89-792650622e13}} after concatenation. with a {{formula:25bb1063-ace6-4171-8d72-4da6ef12e8ab}} operator instead of running fully fixed-point inference. Rounding and truncation errors of full... | r | f1f66d774e88998571db65c73299ead0 |
Summing over the branching fractions of {{formula:2a7a9f99-1df6-41ed-941f-22f56bd64785}} decays and the other exclusive {{formula:f1838ce1-190f-4ee8-b6db-f7b855f31122}} decays in PDG {{cite:9e491e9e3fa460c4d712519f5f36232c87c8052d}},
we obtain the sums of the branching fractions of all the exclusive {{formula:8cda138... | d | cb87156d943d08a5d267f31484738a31 |
With digitalization penetrating all aspects of life we are witnessing an explosive growth of data.
Data clustering {{cite:e2fb00909067c8763f9e7c71dd6e55a6412fba71}}, i.e. a categorization of data sources into different groups, is one of the most popular approaches to harvest knowledge from this deluge of data.
In count... | i | 0f12c28e263227f292999e37881eae2a |
In the context of reinforcement learning (RL), a related question is the following: can offline data, resulting from observations, be combined with online data resulting from experimentation, in order to improve the performance of a learning agent ? In the Markov Decision Process (MDP) setting, where the agent observes... | i | a8fe9867d47c3d30bd89c509abb2d20c |
On the other hand, epistemic or model uncertainty characterizes uncertainty in the model parameters.
Examples are the lack of knowledge, e.g. out-of-distribution document pairs or the described issue of re-sampling heterogeneous same-author pairs.
This uncertainty obviously can be explained away given enough training p... | d | 9a6719b65b7e790effd1ce69beef4d6b |
If the linesearch terminates with {{formula:77877cdd-2c60-4d2c-bdc9-f721b16ba01f}} , then clearly {{formula:d6f44f32-0c2a-47bf-acc1-c33cbb05dd6c}} . The optimality given by the dual gap (see {{cite:24a358fc731974047976be5d9c0d363c229a6b28}}), can therefore be stated
{{formula:a797dba8-8d25-4af7-89de-461892342bfe}}
| r | 5854cd1b5a6a89380f7a396fb82a3bb7 |
However, most of the current deep models only learn local convolutional features inherited from a pre-trained network on recognition tasks like VGG{{cite:69d8bc50a45211fe9fc24d295f0061ab7f576a57}} and ResNet{{cite:1bc40e3287904cf5911f9bb6b9d4fa7e85803107}}. In real-world scenarios, there can be various distortion types... | i | 6d4c51a0dd15859b7c9aecff771baa0c |
Despite its compelling role, CCFT itself remains poorly understood. On the one hand, the celestial conformal field theory behaves in many aspects like an ordinary two dimensional conformal field theory. Many techniques in the ordinary CFT can be borrowed and applied to CCFT. For example, one can construct the stress te... | i | 966de0d761a0d1a5aefcae415a8598bb |
In the AdS/CFT correspondence the radial direction can be interpreted
as the scale of the boundary field theory. Thus, a radial evolution
can be thought of as an RG evolution and has been dubbed “holgraphic
RG”
{{cite:94941bd6b47a611da2c6843eaf6be5197ed0bec9}}, {{cite:be4d8b6607c72303a13481824418fbee95b5654a}}, {{cite:... | i | 79f41552ff6b3c00b9683cce8997cd43 |
Similar to literature on anomaly detection in energy time series data, multiple works propose forecasting-based unsupervised anomaly detection {{cite:b59b22c5c3b706174e84941761c919e1f39591c2}}, {{cite:3a3f36016af8c9e1e70f7a947101832b9154fb42}}, {{cite:e8d263df313e34f517cf9288154fdec138ac3df3}}.
In most cases, the eucli... | m | aba8a043e5b9a71ce60ea9c82f9247ae |
redBy utilizing micro-batches (i.e. disjoint subsets of each mini-batch), we find that explicitly regularizing
either the average micro-batch gradient norm
{{cite:e43559883cb89a274678bbcfa1f8e1bb8223c972}}, {{cite:d6d3c4f697af7b95f4769cfcf7314e87c7b7ebbc}}
or Fisher Information Matrix trace
{{cite:a479a16008f893926196... | i | fa9ede9eec003a3cb1da79e0a5067b8e |
The proof of Theorem REF relies on the following key lemma to upper bound the second moment of {{formula:c35e6c86-9570-4df5-9532-f1c7c7b61393}} . The idea of bounding {{formula:42be3aa1-125c-4319-b930-8ed9c6cbc157}} appears in many relevant literatures such as {{cite:a8e56b607b4cf60523c1ba1514d0c2d4bcb3c0ea}}, {{cite... | r | 4b03e9ec17044d0a19714ae67e875d31 |
From a theoretical point of view, our paper provides the first finite sample concentration inequalities for a number of different CDF and risk estimators, which are widely applicable to recent distributional reinforcement learning settings, which learn the CDF of returns and are capable of optimizing different risk fun... | d | ee079b965d4ce8e739f5960deff67582 |
In contrast to other modalities like images and texts, generating instance-level explanations for graphs is non-trivial. In particular, it is more challenging since individual node embeddings in GNNs aggregate information using the entire graph structure, and, therefore, explanations can be on different levels (i.e., n... | i | 950649ebaba6571e1b3d15bc314234a7 |
One of our main results is spectral sparsification of the kernel matrix {{formula:779c2be3-196d-47da-93cd-d7ea77171acc}} interpreted as a weighted graph. In Section REF , we compute a sparse subgraph whose associated matrix closely approximates that of the kernel matrix {{formula:e151c6eb-8957-4c3c-b72e-a63cd393085e}}... | r | 16a7729a4ada456e7af97fb697d54bf4 |
[leftmargin=*]
–
Has severe defects {{cite:2f294968abb65bf57ad62001c9f893aad16eaa5c}}
| m | 87b6042589749090d4147f7873491006 |
Once constraining the values of {{formula:e46e12b0-8859-46d0-accb-8b15d0798f71}} and {{formula:937c5784-2ad2-47df-b7f1-601733737207}} to the experimental data of {{formula:bfecda9c-8e5b-467a-a6ca-6d166d1860dc}} and the binding energy for {{formula:b7a6fec8-22bd-487b-9640-1a54fad9b0e4}} Pb, we calculate the BE and {{... | r | 767091e6cf74bc2f55e477fceab860ff |
Recent years have witnessed a great development of non-task oriented chatbots. Existing approaches fall into generation-based methods {{cite:f61d488b768d675f49a6e55fb206fd36c18732cf}}, {{cite:deb3c781df2e01e491d9b3d3fc1780c00b921b9c}}, {{cite:c6307d7c7f1979dbedf9f2cfa74364f1c2020d46}}, and retrieval-based methods {{cit... | i | 5ca11e4628aae98f09eb24cd1e63cd57 |
High dimensional learning problems often train models with a large number of parameters.
Modern large-scale learning tasks can easily consist of {{formula:1bbc3c12-e49b-49a5-b375-e453ca2d5633}} model parameters that are typically represented in 32 or 64-bit floating point precision formats.
Their significantly high me... | i | 27c6881ad571cd1a1b683e74af8ad55d |
In {{cite:27c88ae0290033b6ac93bd4e74d1cf44462153a3}}, Gromov introduced the following non-negative topological invariant for a connected, closed manifold:
| i | 6b58cbafc4f90271ecd040286c4a8a1a |
From the predicted mass spectra, we can see that all the triply-heavy tetraquarks lie above the corresponding meson-meson thresholds, which indicates that according to our model no stable {{formula:092c5097-e220-40b5-8cd7-be07dfdedfa1}} state exists. In previous studies {{cite:6d775f6296607590ff5abd265014eb9ebac8cfdf}... | d | ffbe09e3c985fc469d938f527c2dbc01 |
We recall that if {{formula:710a17e6-42f4-4d7e-8b36-7954c1f99eaf}} is open and {{formula:3c9928c6-5fbd-4acd-bd2d-f55e77ab8b9d}} is a {{formula:c3424663-ecef-4505-b42b-8650f2983f24}} -mapping for some {{formula:1c661599-4639-401b-ad12-8d8f3e37ee5d}} , then {{formula:d17b5095-9c10-4b9e-b090-0c2b0493c228}} is Pansu dif... | i | c34e14832c78451cce436134b65ce4e4 |
Tweets, the messages of Twitter microblogs, have high density of semantically important keywords. It makes it possible to get semantically important information from the tweets and generate the features of predictive models for the decision-making support. Different studies of Twitter are considered in the papers {{cit... | i | b96a9327f15fb89dd344cbd38a471f0c |
Main application.
Consider the well-studied fairness notion of EFX, in which each agent {{formula:7ff7eb67-43cb-463e-8b8a-8c09998d7b3b}} prefers her own bundle over the bundle of any other agent {{formula:34345f4f-0d6e-4a79-8eb4-8f0ac5714215}} , if one arbitrary good is removed from {{formula:fd904d03-78cc-46d4-a2b9-4... | r | 5a2a15c5659aec650e2c23652c2d4260 |
In this work, we first study the Floquet two-level system, where the intensity of the probe field has the form of square-wave periodic sequence, which is a basic model of direct frequency comb spectroscopy {{cite:7bdd81f5fcde92b173d65594045f34ed3cc93358}} and is different from the sine/cosine pulse trains in the Mach-Z... | i | 99e820127302ee7d50a2cffce20c1647 |
paragraph4
.4em plus1ex minus.2ex-.5emTransfer to Audio/Speech-only tasks.
To test the generalizability of the learned audio representations, we further evaluate them by transferring AS-pre-trained MAViL to other out-of-domain speech-only or audio-only tasks.
We conduct experiments on the Environmental Sound Classifica... | r | 15e70c2e7ea716a7855b96e47040f31d |
The elastic constants of YRh{{formula:bbaea067-89d8-46bc-abfc-9b41abadfd2a}} B satisfy all of the above criteria {{cite:d8418bc95f12b3f1423bf09eee04b407ea2d7a34}}, and therefore the material is mechanically stable.
| m | 6a6fc9dd6063383011c36fcbd8933aaf |
We start our overview with some game settings that fall under the scope of our approach. Obviously, all memoryless-determined objectives are among them, since we generalize Gimbert and Zielonka's work {{cite:d0b5911efad145c360189b566ff3c51e27b0680b}}: this includes, e.g., mean-payoff {{cite:c89abd521c3877e426cc8a62a09a... | d | 11ca5a923487711c705b8827b8e278cf |
We replicated our main experiments (Cifar-10/VGG) on another dataset and another network architecture.
We chose for the Fashion MNIST dataset {{cite:81fc6b9a8cc34c801d549b95704aa3dd982b7587}} and a simple multi-layer perceptron architecture with one hidden layer of 5000 neurons and ReLU activations.
We list the details... | r | c4c2ffd0cce39f44c18358b7352ae5f8 |
To date, there are several candidates for PPISNe
{{cite:69a437c4f56d124ee8099d233f04ba5c002bca34}}, {{cite:52c646954684c0ae020d4a82128768de45a3f92a}}, {{cite:809b27e9df047710ae727f6a89fcba131a0e6cee}}. {{cite:136236a1eae5b40575786821962b3e5ace5ed404}} reported the detection of a Type IIn SLSN 2016aps
with energy {{form... | d | 0dea3e191fa4fce00ca746841221a708 |
In this paper, the void-channel solutions were obtained using the open source finite element solver FreeFem++ {{cite:3759293eea4dcc6c29024694ecee9caadf86a35e}}; we used this to solve the Helmholtz equation for our void-channel model,
{{formula:2ddc8c4f-b0b2-4909-9d14-9efc77b0ed44}}
| m | 17986d17ae4a5837dea4a01101788be7 |
We provide the qualitative comparison between 3DCrowdNet and SPIN {{cite:b2fbfb3116d027d6cd81c76328f689967a71edf2}} in Figure REF .
SPIN {{cite:b2fbfb3116d027d6cd81c76328f689967a71edf2}} is the most relevant competitor among current state-of-the-art methods, since it leverages image feature and estimates SMPL parameter... | m | fc8f105339ffbff94b5d412aae053a0a |
In Table REF , we report the average results of all tasks with and
without ground-truth object detection over the considered episodes. For task on, we randomly generated 400 different goals, defining 400 episodes; for tasks open and close, we randomly generated 100 goals, defining 100 episodes for each task; for the ob... | r | f488367f585e2419315837675257a6ab |
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