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We consider two BERT-based methods for tackling HDL:
a BERT + MLP method
that added an MLP classifier on top of a pre-trained BERT model {{cite:09e6087a6907ef724bb5dc385c68110a860a8c5d}} for each distributional label;
a Hierarchical Distributional Learning Network (HDLN)
which was an adaption from HMCN-F network {{cite... | m | 5025664ebe673c438454cbfcca4cc363 |
In addition to the standard linear regression model discussed in Section REF , the proposed framework can be applied to a range of generalized tensor regression problems. Recall that the classical generalized linear model focuses on an exponential family, where the response {{formula:63dd5d33-d05a-4674-a82b-16bb968128e... | d | 8bef59e8535ec4ec0dd9d49d1f41fe4a |
Let us now we verify if and when the proposal is implementable in a state-of-the-art optomechanical setup and a nanomechanical resonator can be prepared with high fidelity, at least for a long-lived transient, in the macroscopic superposition state {{formula:fab8d307-be93-46b6-886e-940b357dbf60}} . We consider paramete... | r | 61065fb5702f249a9c30bf7d4bdd799b |
LwPosr is compared to existing methods (with both lightweight and heavier techniques) for HPE on open-source benchmark datasets. Table REF and REF illustrate the comparison of the number of parameters and MAE for the compared frameworks. They are as follows. (1) 3DDFA {{cite:245c3adb32f6d7e6720bbde889a4ed83f43d11d6}}... | r | af2b2da21841dcd6ba0e48e01b8f1083 |
We evaluate the quality of the representations learned using few-shot linear transfer.
Given training examples from the new dataset {{formula:6fdb4883-f891-4491-91ef-24daa1b1ff83}} , we use the pre-trained model {{formula:9c419333-1bed-4c4a-baf6-7bcf9561ecf0}} to extract a fixed representation {{formula:084fd6f6-8d4f-... | r | 8d79cc43c482f227b1137928f5b00c3c |
The fully conservation form has another advantage, adaptation
to higher order scheme. Various standard higher order schemes
are available, when differential
equations are written in the fully conservation form.
see e.g. {{cite:db11378ab9c4afabe1354503b05c9c05bb74b2db}} for the methods to achieve higher order
accuracy. ... | d | acae2207b98027ede7a0e5b2531a3226 |
Consensus maximization realizes robust estimation by seeking the solution model that enables the largest number of measurements to have residual errors below the preset noise bound of inliers. RANSAC {{cite:cd7c848c6c9678084164ae2a4aaec42db50f0a36}} is the most common consensus maximizer which repetitively takes random... | m | bc19ba0f21fe141ddde80e6dfd636d19 |
In Fig. REF we show {{formula:3e576d21-d37b-4fc4-80f5-0ec7d9239edb}} as a function of {{formula:b6dfa90f-2d12-439a-b1ea-fdd16875bfbb}} (in fm). Here {{formula:88cb43be-3b21-40a6-8495-f6c1753691c8}} is the
value of {{formula:7b8d3030-deb0-4623-987b-437366de5c35}} in Eq. (REF ) in which we switch from the lattice co... | r | 0f88318ff70b45f5b677576e3c798226 |
In another work {{cite:5b37c1543e43f1f2ccf6c6a9d08b2a15589649b9}}, VAE, GAN and other means are combined and attention mechanism is introduced for the first time into the anomaly detection field. The framework encourages attention map to cover the entire normal region, while suppressing attention maps corresponding to ... | m | 648829d0c2ba964d0f27fb05056f30dc |
Reinforcement learning (RL) is one of the main techniques to solve sequential decision making problems.
When combined with deep neural networks, RL has achieved impressive performance in many applications, including robotics {{cite:f06ef90a4313bd93480aee1127b5cdc0959d67b1}}, game playing {{cite:bd737a4fb82bdf6ac6c906bd... | i | e8e2c3a00be5f3c1d98c39012ff9d3f0 |
Note that the high {{formula:737af603-40c9-4c22-8f93-ff90c35a45ef}} values deduced in Model A1 may not be consistent with the fact that the two HBLs show almost no superluminal motion in the Very Long Baseline Array (VLBA) scale {{cite:1530bc933e9585f13e261d29b5f01cac73d91d8d}}, {{cite:87de0860e4d2de089e6ecabe622d05bd9... | r | 05ccd75f5ac904d452a71432be8b90ca |
Curriculum learning (CL) for deep learning was introduced and popularized by {{cite:ad15dfd6a026089d99dc05287ca8b1cdd9160f7a}}, but it has a long history, reaching all the way back to {{cite:4295a556bf167277dba345bc688de49e9b5dc14f}}. It is inspired by the way humans learn and proposes that we apply the same starting s... | i | bd0c93aa248377356d7d0c8f4ea04085 |
subparagraph51.5ex plus1ex minus.2ex-1emSMR liveness proofs.
PBFT {{cite:6bb39e1f7bb86d3e60cfe117afed61e9fc5889ce}}, {{cite:98b1c9845ce57e20c9e67bf2e3cf4ab16ed0dbe7}}, {{cite:f9f4345c33e47f589f77f957c72c10887f29058d}} is a seminal protocol whose design
choices have been widely
adopted {{cite:7e2b107fad595a04bba12c4c1c6... | d | 040469b0e52c5922c9f3d57ba988e1c4 |
Tensor decomposition: We use {{formula:19723805-8066-4e36-807e-986274575f5b}} to denote the Fourier transform of a single EEG epoch with {{formula:4e2f263a-37d9-4a81-9c72-0e9a014b4d1c}} sensors at {{formula:d6345fed-d363-445d-8471-e770cb263bb4}} frequencies. Then, a multi-subject dataset including a total of {{formu... | m | 485605436c5d2371f6baee91b32a863b |
The results presented in this work provide tangible evidence that state-of-the-art classical machine learning models have the capacity to learn accurate representations of entire families of quantum states. Using trainable embeddings to condition generative models on classical parameters of the quantum system of intere... | d | c4aba851280f803acaafd77b570dfc81 |
The use of string-localized quantum fields in the interaction gives us
occasion to comment on the fact (underlying causal
perturbation theory also in the point-localized case): Interaction
does not need a free Lagrangian.
This is advantageous, because “canonical quantization” based on free
Lagrangians is beset with dif... | d | 8b4d7392f935a50fc42072aa258d9689 |
Ensemble methods {{cite:a1869bde66b043b31a5542cd374496f482fe57b2}}, {{cite:55be31ea521c804982c8d1af1495227427b2ef91}}, {{cite:180772f9a8775c497e44e40a4bc195e5b71c3bba}} are supervised learning algorithm which commonly combine multiple hypotheses to form a better one. There are two families of ensemble methods,
averagin... | m | 885efb3b848254f31c12cd9edc376e6b |
The Nash equilibrium is a strategy profile in which no player can do better by unilaterally changing their strategy to another strategy {{cite:b6f8f0007101d0048ce2639eb8f1ef02b7da7187}}. An evolutionarily stable strategy (ESS) is akin to the Nash equilibrium which is “evolutionarily" stable, i.e., once it is fixed in a... | i | 78d3f36765048d1fe2161d8fcd65c121 |
A ridge is a multidimensional function {{formula:aca85815-d0fe-42fd-96d2-4bde919764d2}} from {{formula:95653f47-5975-47ce-a9db-3ae0e6ce0782}} that is characterized by a 1D profile {{formula:53eabc91-c56d-4230-882d-f38a1f636fbd}} and a weight vector {{formula:05a5de94-aaa3-4de3-a947-cd0329bb763d}} {{cite:96d2b306853... | i | 0bcf6a5ce673a102447b228a33ef12b5 |
Remark.
Recall that inner functions {{formula:3ddcf6f5-63f3-422e-83dc-03f0ec7bfe01}} (i.e., holomorphic maps of the
unit disk {{formula:944d9871-96a9-401e-82df-6b1c09af5e79}} to itself that also send the circle {{formula:c19c38c5-08e5-4fe1-9858-b0b12fda94e2}} to itself) are a classical topic of function theory of co... | r | d6a05e452cd95afc196ee7dac7d4d947 |
Quality assessment. Solving Problem REF
yields a SR reconstructed image {{formula:8eb57e10-cace-4b81-9dc9-045b49cdf965}} which quality can be compared against the reference {{formula:db6e15c3-03a4-4c5c-a4e3-4616b0654ec2}} using various metrics. We use two common metrics for SRR assessment {{cite:7a53b6b5aabdd4803418... | m | 3d162a1650b6a1a146f254bc9191c5e5 |
Considering above issues, a more promising way is to align instance features according to their ground truth or pseudo labels. It means the detected objects with higher confidence in target domain should be paid more attention on aligning the instance features regarding to their categories. For example in Figure REF (b... | i | 0d5ebdca6362601ce06dee075140456d |
The kinematics of the warm and cold gas phases lead us to conclude that the AGN in the system might have recently experienced an energetic outburst. This AGN outburst temporarily led to the condensation of the uplifted gas, which is now probably cycling back down towards the AGN, promoting an elevated star formation ra... | d | a464f1b640ce8ce9ded39052fbeb9ca4 |
This basic argument has been appreciated for some time; indeed, its essential features
were outlined by Penrose {{cite:db26e6c3999095daf3603898ac0eec536c9ecfee}} even before inflation was invented.
Nevertheless, it has failed to make an important impact on most discussions of
inflationary cosmology. Attitudes toward th... | d | cefefc439f43105412dd01d390bde995 |
Table REF presents the best result from our model (doc-reranker) in comparison with prior work on the NIST Chinese–English translation task. The first three rows are numbers reported in prior work. {{cite:b2842899d54d0776d6559e347f27a533b80a7021}} incorporate document context by introducing a hierarchical RNN to an LS... | r | f40be2b3267c36817d75c9a56f5e5a5a |
We compare our approach with state-of-the-art weakly-supervised methods{{cite:d9eac72dcb9f28e12f70c8d9f1edfcce361321e7}}, {{cite:a97062ffe958aa286153e20b1a1e22a9cfc4cbe0}}, {{cite:b81881995569963032d06d1fdba7dc28556ecdae}}, {{cite:1e92703ffbb0fb5da8b87971959f86102df999be}}, {{cite:d1a12a15c86f7e008c1e06c098a66545e3e15e... | m | 5c3d00893392d3bc77f891185b5f4594 |
Lemma 2.1 (See {{cite:0e8c98a2e024ed4f75f4a200d85b3bdbdea08285}}, Theorem 11.31, Künneth Formula) Two finite dimensional Lie algebras {{formula:f29283b5-2f92-49e4-aaeb-f3e2b7abf58f}} and {{formula:735840ba-dd0c-427e-9e61-c74b54329884}} satisfy the condition
{{formula:ae59d308-ff11-44f0-9f0e-8cfbe789a53d}}
| r | 5acffad5b1c9fd808dac2684198efcdd |
An aspect of the implementation of CQ for boundary integral equations that is rarely mentioned, is the spatial quadrature required to compute the integral operators. The reason for this is that unlike in space-time Galerkin methods, where quadrature needs to carefully deal with the sharp space-time cone {{cite:8fcb944... | m | b5da9e93baaa9e76b2a7cc69e9266e89 |
In the coming years we will be flooded by data offering new windows on particle physics at high energy scales.
Telescopes such as CTA {{cite:fb6edaa5eafb3df085939a68e9126543aa05fb49}} and LHAASO {{cite:58944a45c5c60a769ddd495715a941abbc540d27}} will collect, for the first time, {{formula:a1288f74-f268-4491-aaaa-4cd7cc6... | i | d9f1c03424a4e30840b4e63a16955e2b |
Extensive experiments on the large ImageNet dataset demonstrate the efficacy of our LBC.
For instance, our LBC achieves 77.2% in the top-1 accuracy for training a 2:4 sparse ResNet-50 on ImageNet, which takes the leading position in comparison with existing N:M sparsity methods {{cite:2e3f7fb15689753479ad39489ee0bb48f4... | i | 308d4375817dc7f0d4a55e3cd64259c9 |
Actually, the AWB can improve performance with different {{formula:434d92a2-e1a0-463b-97a6-43b6646c4cd3}} values stably. Similar with MMT {{cite:a278b599308be50097a1be65ce627fe8bebbae67}}, we have tried three different {{formula:44708bc9-e006-4462-a641-2ede3e6d3ef0}} , i.e. 500, 700, and 900, for Duke-to-Market and Ma... | d | 8ebf5c76b214d00a63e7e225ae5e3a1f |
Timely updates are crucial in a large number of applications such as vehicular networks, wireless sensor networks, and UAV navigations. To achieve timely updates, we require the destination of the network to receive the freshest information from the remote source as quickly as possible. Age of information, or simply ag... | i | 4282e6cefa17b35616400bd28bad9c43 |
For a fair comparison, we re-implement baseline models of cRT and LWS {{cite:8812a46aa4ef7194213184f82b2bdfd1ee5390c0}} with our hyper-parameters. As shown in Table REF , smaller batch size and learning rate benefits long-tailed recognition ({{formula:79190271-143e-41c3-b21e-74b6c45a4db3}} v.s. {{formula:23175224-ccdc... | r | ba0aab04e0173a8468507780fbdcf633 |
where {{formula:118e66fc-07af-4579-a0b1-22c7ef1242b5}} is the conditional feature embedding, in our case, the raw image embedding, {{formula:a18d5be5-b049-4b17-8883-ae1c3ee12a13}} is the segmentation map feature embedding of the current step. The two components are added and sent to a UNet decoder {{formula:2d049556-... | m | 26302481aa7fd6b0edde198de717d9a4 |
Regression-based methods usually adopt MSE loss as their loss function. However, only use the MSE loss function will cause some problems, such as blur effect, neglecting the local consistency, and losing position information. Therefore, designing an appropriate loss function is also an essential researching direction in... | m | 56961772c745d5044f0a7fe9498f7917 |
The purpose of this analysis is to improve the precision of the calculation of the Higgs invisible decay width so that it can be used to constrain the parameters from the dark sector.
The current observed limit on the branching ratio of the 125 GeV Higgs decay into invisible particles is given by {{cite:e6e5080a2306079... | r | ba52fce125fdd8d15b058f847d40a047 |
The integrated and differential cross-sections have been calculated using MadGraph {{cite:3d52ae2e90342323b827b8427d8e5e02050f7f59}} by adopting a generic LHC parameter card.
Furthermore, we have used MadAnalysis {{cite:421b7f09a193331e7d7484d4d35e161d88dc57dc}} for constructing our selection, which involve basic cuts ... | r | 0d66537fe0bcc953e75717cbc7c678e6 |
High Resolution Architecture
Unlike previous models, {{cite:e8a4f0ecdac175d10c59af272087d7960b1f9d08}} proposes a representative network, HRNetLink of HRNet Project: https://github.com/leoxiaobin/deep-high-resolution-net.pytorch (Fig. REF d), which is able to maintain high resolution representations through the who... | m | d21b958827bbc249c5857cbfd6ac3ee9 |
The interaction of photon with the hadronic matter is one of the main aspects
of the hadronic physics and it is an important tool to learn about
QCD {{cite:9e8f2c8539786b94e082cc19bfb65149819758a0}}. Some applications involve the hadronic contribution
to the gyromagnetic ratio of the muon {{cite:70c1493d850aa9bf5fa5e71... | i | 9f8937b1ac44689b32fd79f6ff891781 |
In fig:ood we showcase our ability to edit out-of-domain videos. Both the encoder and PTI can seamlessly adapt to animated faces. Furthermore, the alignment of fine-tuned StyleGAN models ensures we can re-use the same editing directions, as previously demonstrated by {{cite:12fe0e81346687cdee27be068d0cfee1049c4dc9}}, {... | r | f96dd22dfa1653f74688afd085f81cdd |
In the field of Computer Science, search trees, such as the Binary Search tree {{cite:08c0b909ef38cb3996047d85c485a1f3280e1523}}, are based on the idea of divide and conquer method.
They are often used to solve extrema in uni-modal arrays or find specific values in sorted arrays.
| m | de09c67c45f91d03d76fbcf234eaab8c |
Historically, the solution function (and optimal value function) has been an important basis for local sensitivity/stability and parametric analysis in optimization theory {{cite:006fb233539ded22c6a78d45ae4dff391e3dbb72}}, {{cite:a7b2b2f54f4ee8c2a50639e938e21465cc3c68a7}}; see {{cite:c427deb7f73a8248fb5f652a00e96c0e81e... | i | 687ef1393f1ab5abd67db7371943a20f |
Learning and recognition of spatiotemporal patterns—in contrast to static spatial patterns, or even sequences of such—is a central conceptual problem to neuromorphic and event-based processing {{cite:3b4f52cc3d7db7b8208b8492389ff341d1e2594c}},
and has been addressed, for instance, with snn that incorporate neural signa... | i | 9cabca96bdfe8979f1c1e372597298bd |
Note on social impact. As already mentioned, deep learning systems for video manipulation like ours can have a very positive impact. However, at the same time, this type of technology has the risk of being misused to produce harmful manipulated videos of individuals ( celebrities or politicians) without their consent. ... | d | 2bbfbe3e7aeaa51aadfe9c6db8a0b188 |
in which {{formula:e0a99fc4-4102-4d74-b6bf-0918578ad408}} are i.i.d. random variables and the weights {{formula:ee80d708-1f4b-4541-a24d-db0da4aeb82a}} correspond to either the eigenvalues or the singular values of a random symmetric matrix. Specifically, we take eigenvalues and singular values corresponding to the ... | i | c2f6f197846943224fb63d1ac76e57c1 |
While the effects of EOS on the crust-core (liquid-gas) transition density and pressure have been extensively studied, see, e.g., reviews in Ref. {{cite:2cea4aeccafe65b1388f953ff5c3f1bb403d5d70}}, {{cite:e77843b83bca2f1e541572707771c669ffa441d8}}, {{cite:66fc49dc05bd87eab7d55cf1bfcd277a9c1c55a0}}, {{cite:6597394d95e121... | i | a9f04fe3c380c8f01d033ee6dc2d1eeb |
We test the efficacy of the proposed method in generating text in two different corpora, which pertain to different genres of text. The corpora we used are the Cornell Movie Dialog corpus {{cite:f892aada4ca7eb4ff352c91b2852fa6b03c3db1c}} and the Yelp Restaurant Review dataset. The Cornell Movie-Dialog corpus {{cite:f89... | r | 2a01a4e986b5d5bb4ec141bcd6afe469 |
The overall architecture of the proposed method is shown in Fig. REF . The proposed method includes a keypoints extraction module using a CNN-based autoencoder with additional loss functions to capture the keypoints. The rl module is a model-free, actor-critic style method {{cite:30fa1d0b30764e1d5c12d9ef4de74c6b964cada... | m | f9fb7cea2be7a50c61e7ce65f988c692 |
(the Galerkin method) For fixed {{formula:87f85bab-5b13-48f3-848f-bf5164d98c08}} and for every {{formula:fa3879c0-7e80-4036-b716-94c52870a573}} the {{formula:452ef3ef-8cff-44af-9996-5b970c23aa2d}} -th step in the Galerkin method has a solution {{formula:b07dfff7-e668-4616-96f1-cf103f6dbeeb}} . Then every subsequence ... | m | ddec73dcb0eb2c804c389c273e9555ff |
Finally, we discuss the results in Fig. . These
explore the scenario with split
{{formula:e1f19ae6-f794-48e8-990f-2e902f095b72}} and {{formula:3871e351-82fc-484c-b341-42b8f9bfec31}} values, such that {{formula:7e555488-97a6-4ca7-a614-d77e482da946}} . We
have set {{formula:6520cf15-23bd-41c1-9c92-52bd4ea637b9}} in th... | r | d098255ff07465aa155e3292d465d0b1 |
LGS can be created either by Rayleigh backscattering in the lower atmosphere or by fluorescent excitation of sodium in the upper mesosphere and lower thermosphere {{cite:dce5bf38ee6f0f7a544302f7a195a2924a67081b}}, {{cite:003c9e9ea90f8c07d263e3adfa699500c8082c3f}}. For extremely-large telescopes, sodium LGS are better s... | i | 0998e6384478f59c1a0433a10c08f3de |
For completeness, comparison is also provided with DNW {{cite:9495fed7e3a485e0651e7f1d1b7a9d1970fa6b07}}, RIGL {{cite:cb8e95c51cda9d9f4bb1db24d7362cc2d544bcf0}} and GraNet {{cite:c174d24b931c2b3910d6f3fe496b408ec71db031}} (see Section 2 for the presentation of those methods), implemented as recommended by their respect... | m | 7668d411341825f2baca266337b0e6ae |
where {{formula:3ffb3e06-9aaa-4e1a-a056-e10e541325e0}} is a differentiable function and {{formula:4db358f6-3824-44fe-a4f5-35c2f7934089}} is a 1-form {{cite:1c44cb932db283cf7e513233bc68173240b7347e}}, {{cite:e7618fdc16fb91ab6e687ff9727afdc3b2d25971}}.
The 1-form {{formula:981fde0c-7340-4b9a-ad45-b162ceddebab}} is cal... | r | 6d0b0620843485118a64bf6f56de9081 |
We report results on HMDB51 of our model compared to previous models in Table REF . We observe that our model outperforms by a large margin several state-of-the-art methods which, as our model are based on RGB frames only as input, namely {{cite:119f43342be4793b07596ade300e6834483aed13}} and the spatial model of {{cite... | r | a4a5865ed5ce7a9715fbd6a11d4ce16c |
A direct extension of our work would be to use complex distributions such as mixture density networks {{cite:1fe3febae357729381a418192f0b8c7769739e51}} for modelling output distributions. There are many exciting future directions, such as unsupervised learning to form deeper representation for the clusters of features ... | d | 3c808f2c38f3bbb44e797f92fe612032 |
The focus of the present work is the use of CV teleportation channels for the teleportation of coherent states, and the use of non-Gaussian operations to enhance the communication outcomes. However, it is perhaps worth briefly discussing the flexibility of our system in regard to the transfer of other quantum states in... | d | 7a3665caa94a45d7f15c6799b1c210d7 |
The space of possible {{formula:270b0189-0ac0-4548-b044-14cc8388c817}} configurations with {{formula:3716eaed-098d-4370-a13f-a1c77d8114f4}} is infinite dimensionalIn the presence of strong gravitational effects, such {{formula:04a47df8-bfe3-4cfe-b255-d6d611c668ac}} configurations in AdS or Minkowski false vacua migh... | d | 781a8f59d39955761af1093bf53638da |
More recently, surging interest in contrastive learners was sparked by the renewed understanding that connects to mutual information estimation {{cite:c46fdd5eb56f8da3822cf0acea6921217d9898a4}}, {{cite:660533ed5272a3a255aadd6ef7eb16854c234e66}}. Fueled by the discovery of efficient algorithms and strong performance {{c... | i | 5fefa8c887e9c69a2f6a02e5f7a381a9 |
We compare with the other three prioritized experience replay methods to indicate the advantage of our policy-adaptation mechanism for model learning.
The first one is Prioritized Experience Replay (PER) {{cite:9b292907755556e1dc11ecfc9bddd87693b09f9a}}, which weighs the samples according to their TD-error.
The second... | m | 39422759852fe93eadf7645d237a514f |
We use the peak positions {{formula:41a58f77-1d4e-439b-ad01-25889efa445b}} and total width {{formula:c4e04b9a-b4cd-4a3f-b164-412595a6bc63}} of the resonances as given in Ref. {{cite:1d7f9189a31c75e531203973587484dba01c1db8}} and collected above in Table REF .
{{figure:73c1b15a-c88c-461f-8650-c0161d3512d8}}{{table:24a... | r | 23ea1776d0fa479885db4587a5c89009 |
By reducing the problem of certified segmentation to only non-fluctuating components,
we significantly reduce the difficulty and achieve strong results on challenging datasets.
However, a drawback of the method is the newly introduced hyperparameter {{formula:5934d1e8-e97b-4e32-8c30-a83edbadf883}} . In practice a
suita... | d | 7b16ec5bb4ef8f339f9628de1e0b18f2 |
The proposed method showed promising performance to segment the anatomical structures such as the myocardium and the left ventricular cavity from DE-MRI. To extend this approach, shape prior based deep learning methods could help constrain the segmentation of the anatomical structures {{cite:5604983db5f86423420a33b4d2a... | r | 3a050f340f0ad311d923c0c179974ce9 |
Since the projection map {{formula:77986738-e93b-48af-9909-fb185f29cda9}} is finite, the dimension of {{formula:8410fd96-f5fe-4634-951c-ea6eb203036a}} is {{formula:2ac3d930-333a-4622-97cd-655d0841598e}} , i.e. it is codimension two in {{formula:9e70c551-a77a-47a3-a841-9e7ed2a6a6c9}} .
The projection map is also flat.... | r | f77a60a2be3e4c9696260944235b07f1 |
In this paper we have tried to connect the lading soft theorems to symmetries in the approach suggested by {{cite:603980f04359fa7383652208435ab380c44108d0}}, {{cite:162413971c3520916b7ea3e54e03acbd5880443c}}, {{cite:a06b529597cd242ee13d1f132fb11520e0b41c2c}}, {{cite:34df5003c27e67fafd7c841b29c35742fabe3905}}. This does... | d | 9c4a593cbaa80fe9cdcda7a041b997e9 |
PITF: Pairwise Interaction Tensor Factorization {{cite:f1dd5e19e9b696106bf21947fe03bc43b9b424db}}. It makes prediction for a triplet based on
{{formula:a01759f1-3369-44ba-a3a5-794c9b17f703}}
| m | eb611f5134ca3d1ddf59e903acade6c7 |
Fig. 2(c) shows a color plot of the spectra recorded in the saturated state with {{formula:5d5e7a5b-1658-485d-abeb-7910401c9eb1}} mT for different transferred wave vector, thus providing a direct picture of the spin-wave dispersions, up to a wave-vector of about {{formula:1c18f4e0-fa10-492c-967d-e66346f30e06}} rad/{{fo... | r | dc6486c26696557efb72b64a3aceafc5 |
In {{cite:c1db8e62212905edc08ecd754500f315c9672a64}}, it is suggested that the optically thin double-peaked line profiles of the {{formula:55883aaa-aad5-4fc0-a533-e1d6a05381ea}} = 1,0 {{formula:8a24f460-fc71-4884-99b7-3c0b272c2741}} 1,1 line of N{{formula:434f799a-956b-46fd-9a6c-9e29892d87b0}} H{{formula:79db6721-656... | d | f8e4551e776441c48afca2109597e55f |
To overcome this deficiency of previous GNNs, recent work has proposed implicit graph neural networks {{cite:c6e1ff18d1105eba5962eac7189a76f6fb684b18}}, {{cite:03d70bd7d95d1399cf79603df3aee8e04f151298}}, {{cite:68d61ea465f8fd39a40d00594ec90ce6b15c3752}} to effectively capture long-range dependencies.
These implicit gra... | i | ac4ab3a9eb9a6711d0ce96c7558f8e3c |
Active mapping refers to the process of actively perceiving environments by adapting self motions of the robot based on specific criteria {{cite:e527d5d371ee9f6ac2f40d029b5bc234c505ac36}}. Active mapping has wide applications in mobile robots, e.g., unknown environment exploration and target searching {{cite:fe40037322... | i | 10081f78510c76c5704adebd9f471edf |
We provide the results of proposed framework implemented based on non-contrastive methods. Specifically, we leverage SimSiam {{cite:825f32cd2046a8eae362258f31ce11c720f339e0}} and VICReg {{cite:8184a725d5a5874798ae6ef44badbe90cac46666}} as baselines. Table REF shows that the generalization performance of both baselines... | m | a689aff7ed2f9c9415e05451298e3ee9 |
In Section 3 we review the Hamilton-Jacobi formalism following to a large extend refs. {{cite:669cce7895ca1f3f055b775992fd582c5d48e5be}}, {{cite:db491edbce94b4077631e087d405f58a57660de7}}. Parts of the derivation are given in Appendix A.
The corresponding flow equations and Hamiltonian constraints are derived. In Secti... | i | fda5f05fc860a317fb213e79eafbc950 |
While these approaches are effective in many scenarios, their use comes with a considerable cost.
For example, for the FeMoCo molecule, a widely-used benchmark in quantum computational chemistry, the best estimate of QPE runtime for determining its ground state energy is just under 4 days {{cite:af9cf56cec56e49ffcdf748... | i | 8b73560dd76f90acc3804b9c32be471d |
where {{formula:c2c00114-bff4-4987-979a-08c7586c5dc2}} stands for the {{formula:faf25964-1955-4bd2-857d-1fba92571772}} entry of {{formula:ff512b25-d44d-44f1-83c3-3468f1930a23}} . Since white-box source model {{formula:18438c81-3eba-4b32-9a3a-a194d9566a7d}} is required in (REF ), we term it as white-box unsupervised ... | m | ab12a12059e72b77926a5955c386be71 |
Entanglement wedge reconstruction. Harlow has proved that the validity of the quantum Ryu-Takayanagi formula is equivalent to the achievability of the task of entanglement wedge reconstruction with respect to the RT surface {{cite:393873fe32bf4f34282a52ddb965bf6051a7274c}}. Harlow's structural theorem is stated for the... | d | 6b0d66ef1495de17723cb56fd6876c2c |
Dataset
We first use Scan {{cite:84ca670ebf2d9549151a53bf9d562a65eecbb8a7}} as a diagnostic dataset to test the performance of subtree substitution in compositional semantic parsing. Scan is a synthetic dataset, which consists of simple English commands paired with sequences of discrete actions. We use the program vers... | r | aeefddd88cd5f2dfe8bf5f2156a2cc6c |
For the WB experiments, we use HGCN (CEM+GHCM+HM) as the reference and introduce the improvements of each module step by step for comparison ({{formula:b3b6cbf7-2b64-4197-a7d1-e0c235b6b36d}} , {{formula:ae85d138-a72f-4f78-b2cd-1a78078ea947}} , {{formula:c7e45cf6-3d04-447d-bf19-08b8ba6e4595}} , {{formula:8d460f6c-1830-4... | m | d2988b000b4e03b0afb0273af0396632 |
A substantially more challenging extension of our methodology is to targeted pair statistics derived from
general statistically inhomogeneous system in which there is a preferred origin in the system, e.g. liquid-gas interfaces, which requires a
position-dependent one-body potential {{formula:a6d8e3fe-f69f-4c1e-a5f7-32... | d | 4a720dd9550942b19277d9ddbea5e48d |
In view of Theorem REF , we only need to prove the necessary part. Suppose that {{formula:bac10798-2263-41a0-821a-7e23b4f50ea4}} in {{formula:d562cdb9-01c9-44e7-881c-39b06b4c22db}} By {{cite:f4a01e2e141201f90a4c0bcbe79ed9dce37305b2}}, we know that {{formula:2f0637f7-fdfc-4ad4-829a-dbe680442f91}} can be embedded (iso... | r | 0d40e1c90069cef9a9b4c3df2f54ba17 |
Remark 3.9 Thanks to {{cite:786acbe3275183ec01a6b8bacf73aa68b28b7827}}, the RCQ is equivalent to the following condition
{{formula:c27d1bba-4683-4767-8143-50f09b1f8f4a}}
| r | 985b4460b59f0e59867236cb91496f30 |
To compare the performance improvements of our proposed domain adaptation model, we implemented 7 stste-of-art algorithms: 1) DANN (Domain-Adversarial Training of Neural Networks) {{cite:3423a0c4822468177e27283303580607d9ce622d}}; 2) CORAL {{cite:516a5f4c2a6812e47b2c67086d5d8cc6114dc34d}}; 3) ADR (Adversarial Dropout R... | m | 3eba95239f2705c45f74570635094420 |
Action Completeness Modeling. The methods of CMCS {{cite:7d2ff430260546ff60991ac725ad659055e46eae}}, Hide-and-Seek {{cite:df319b5cfbb3f3dc220dfecd2782f4d7bb1ef0a0}}, and Step-by-step {{cite:ddbca856deeede510dc41b366165974b32cb7dce}} target the action completeness and CMCS {{cite:7d2ff430260546ff60991ac725ad659055e46eae... | m | 97a3e13bd1784261cafc08809d982f87 |
Topological entropy can be defined equivalently by using {{formula:9f720eb6-56d5-4f32-a3fc-5370b0df3240}} -spanning sets or open covers of {{formula:d8e5e37c-0969-4b6d-9957-a9aa61bf7d0c}} .
See Chapter 7 in {{cite:ec92e5b6a2e53c2465f277282f0aff7f1d692105}} or Chapter 3 in {{cite:016fa0ed57621d355fa936651ec834f26c109a4e... | r | 3057db17ab602ff8d35c37a49dfd7bce |
The second term of (REF ) is {{formula:14ca8547-073e-426b-9acb-3596aed4b2a5}} . It is the perceptual loss to measure perceptual difference between {{formula:d37e362c-b082-462c-83a5-fc76ec063305}} and {{formula:cc808ee2-67b8-4d9c-ae41-13b2235ec7f2}} , which can preserve details of the predictions and make interpolated ... | m | 80aa8629aad5d823f46d7c1642184d0e |
The {{formula:3e923319-4a61-47eb-ba06-58006051eaeb}} calculations discussed in this paper are of rather complicated dynamical ones, however the production representation has been shown to be useful in providing us a simple and pictorial way of understanding the essence of the {{formula:8eac4caa-3166-4896-96e1-18893070... | d | 82c23f6d197cd9c1b480cf0aaadf5055 |
The Sinkhorn algorithm is the benchmark approach to fast computation of the entropic regularization of optimal transportation {{cite:d7f3dff898294b4161fe527f0c38851d4fefb05e}}. Ultimately, one is faced with the following numerical problem: Given two probability vectors {{formula:cd529dea-3f95-4049-8e91-11610d5c61b3}} ,... | i | 685d201c0c1a615c8c245b99c26215ac |
Here, the smooth part {{formula:93817b34-0eef-4106-a8a1-9a81e432d333}} of the objective functional is linearized around {{formula:7d6bae2a-c655-4810-ac94-7a1210ba5deb}} while the nonsmooth part {{formula:b14236a3-2ae1-40e2-bd21-20f15dfa6080}} remains unchanged. Variants of this method have been applied to great suc... | i | 85dd60cf79b00b87d1b6aedd9f9aa865 |
However, graph structures cannot be handled succinctly in purely functional languages.
Although such structures can be handled with references,
this style implies imperative programming with destructive assignments,
which makes it hard to read and write programs and also makes verification more difficult.
In addition, ... | i | 2c5a89c585413f5f02c55b9a8e9a9138 |
Due to the effectiveness of this approach, transfer learning has become a central element in the machine learning toolbox. For instance, using pretrained feature maps is common practice in a variety of applications, including fine-grained classification {{cite:e2d4e66c529e226b2a591e250539ba7554d076d9}}, {{cite:44ac9faf... | i | 02f6b875fc78473cfa9c6dbd5cfc4e10 |
This slow adoption can be attributed to a combination of practical {{cite:70b399e61f46a997424ad91ee4678a5f16ee0e0a}}, {{cite:cb1b32feda60269dd704f522c57d01338ed59acb}}, social {{cite:c2c571035431833a07aff1ec5f823e060d48c4a6}}, {{cite:a322124eac522e2a243dbcfcf305b2521f17f1d8}}, {{cite:c1fd6b61c83fc4b51e68ba6ab3e62ad103c... | i | f61962807d9499189576dd8b61ea8bc9 |
Our investigation adds a concrete case study to the discussion on how abstraction may be learned without explicit supervision. While images containing, say, five objects may look very different from each other, our model discovers a common property, i.e. the number of items, which is not immediately available from the ... | d | 847c7eb20455f0815fd0f8080ba7b95b |
we can easily train MaAST with any proven RL algorithm to achieve performance boosts from more efficient, large-scale training.
Further, while recent works have shown the success of using hierarchical DRL policies paired with analytical planners such as A{{formula:75c3cb7a-9a9b-4b60-8b85-824c6dcc0182}} in exploration... | m | d3525e430a9daf04285cad7c40fded7b |
Second, we use the Holme-Kim network model {{cite:3aa0d26d6f1dc0c75978861db79a249717c12bfd}}, which is a modification of the BA model for high clustering (i.e., a large number of triangles). We construct networks with average degree {{formula:b8a80f69-a847-4b49-9f6d-24059bbd7b00}} by setting the number of edges that e... | m | fb418fa79661791f7f99ebb827bdb0f5 |
We compare our method and utilize several of the popular models in our experiments : linear model fasttext {{cite:82940a70cb2de9f4fcaa4c414b65737120a7e603}}, we use CNN architecture inspired by {{cite:df3f58877fc65e0e250956f4dfa921776ad41b3e}} and train it using numerous teacher {{cite:e136b074762bc400cc8e3b42dbccb2f27... | r | d1548a610ab1b6b0a0971d706f418a71 |
Unlike previous NeRF-SLAMs {{cite:4d486233bd599c3387d87f12210426aab559b8c4}}, {{cite:8ef98c09984557f2d7302ea34b4d1c5fdb9ac74f}} which require depth information to perceive geometry better, we develop Orbeez-SLAM that leverages VO for accurate pose estimations to generate a dense map with a monocular camera. Besides, it... | m | b23ef9de5aa37378746af8b48d5ff135 |
In further work, we aim to extend the SVD analysis ideas of section REF , e.g., in conjunction with {{formula:8520f250-e773-43d6-befa-2210c2c545a7}} -factor analysis {{cite:4f7590275b74092ebf092996c56677f9b1140124}}, {{cite:69bfaac0f3a533a4823ed4d38f4eb217269034c9}}, to determine optimal sub-sampling schemes for differ... | d | 9037c441a150d0ad6f563495fa8c6bf2 |
does not deal with data in events.
From a broader perspective, we finally observe that while
we deal with a set of specific problems, the work paves the way for ASP to
become a general effective approach to Declarative PM.
The Framework
An activity (signature) is an expression of the
form {{formula:89da2967-8e68-420f-b... | i | d9bcd1fb5985d4032dbfdbcc955b2332 |
System identification {{cite:f85c4c1cf1793c8aebf057d6c7a901315474aecf}} is a field which deals with creating mathematical models of dynamical systems through statistical and machine learning approaches.
| m | a58eb1728003f7e30bb38ef3e54f5049 |
In this paper we have systematically studied statistical matching and subclassification with a many-leveled and continuous treatment dose. We propose two optimality criteria for subclassification, each based on a natural subclass homogeneity measure. We characterize the relationship between these two criteria and lever... | d | 244619a0098807c805edba6b46f0488d |
Table REF shows that Info-StyleGAN and its variant with smaller network size, termed as Info-StyleGAN{{formula:ea0d16d4-1747-48a3-bb62-4f7a514692cb}} , consistently outperform state-of-the-art VAE-based methods by a large margin on both dSprites and Isaac3D. Meanwhile, Info-StyleGAN achieves competitive or even better... | r | 370459d45a3b3cfb29454d3dc6486421 |
Compared to Step 3 of Algorithm REF , these methods rely on eigendecomposition of matrices distinct from {{formula:661ae6a9-8bdc-4b86-ab14-59d958a2c0a4}} . Specifically, in the standard kPCA implementation (Section 12.3 of {{cite:c8c8611d372c46ccc9a26683bfe35d3203307ab8}}), the eigendecomposition is applied to the cent... | m | 2915ef4e71da1c601ea9976d1c93810c |
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