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For the classical wave equation (REF ), this phenomenon has been observed by Harmse {{cite:b0e20fffa01b51ff1a8f79d99a8e1401d66357b8}} and Oberlin {{cite:86199e5bad4a4958cf5cb50bf25dfc043692ecd7}} for the diagonal case {{formula:945e7095-1e51-42f0-8d31-09c399fc23b8}} and {{formula:65a060ca-0156-4eaa-80c3-c239ddcd00ce}}... | r | 2a19ddd66f01806284c77cab65102cdd |
The models are trained using the Adam optimiser {{cite:63c4d1f28d55931a3da43a7e403db11fa68e9bfe}} with a learning rate of 0.0001. To reduce overfit within the models, the feed forward layers in all the models as well as the convolutional layers in the CRNN model contain an L2 penalty. All models also use a batch size o... | r | 9dfbe8f7c0418fb6e3ca99d445abd48b |
where the modified Mathieu function on the left can be approximated by the series on the right; the notation therein is different from the notation in our paper, but the {{formula:b9351339-5006-4464-8e8b-9fee1c95c360}} s are Bessel functions and the {{formula:43239b16-7c44-4939-81bc-131fa145cade}} s are the Fourier coe... | m | 950b703fe689380320cefa09530cc9e2 |
The problem is further complicated when the scene is dynamic instead of static. The majority of existing approaches have been developed for static scenes only - i.e., the corresponding relationship between two images is characterized by a global transformation (e.g., affine transformation and perspective transformation... | i | fd3ef5977d05258da73c898d9d257e58 |
ATOC (Attentional communication model) {{cite:f9f0e80919c5383ac64249349c3a27f0b16e6749}} designs an attention unit to receive hidden states and action intention for each agent. An agent determines whether to communicate with other agents according to the attention unit. ATOC leverages a bidirectional LSTM unit as the c... | m | 970d335d64d05270a2f583083565c8a1 |
One of the most remarkable results established at the LHC is the smooth evolution of particle
chemistry from small to large systems as a function of charged particle multiplicity{{cite:b0adb8e054232288576473a65abf343b352fcc5b}}.
The particle yields normalized to charged-pion yield evolve monotonically and continuously ... | r | e06be410dcb27ee6f2426a3d594d9c82 |
We have considered the Fe/Si mole ratio as an observable of our MCMC Bayesian analysis in addition to the planetary masses and radii. Even though the Fe/Si derived from stellar abundances and that obtained from rocky planet densities could depart from a 1:1 relationship {{cite:e13f28d03867b18329996d2ae0e7e11d5b0e1537}}... | d | 765978997e721ac28ea27f2b191ccb89 |
Our work: We propose MultiGuard, the first provably robust defense against adversarial examples for multi-label classification. MultiGuard leverages randomized smoothing {{cite:dad58a042a2f8ab02206843cba1d4ddcd8c5bb69}}, {{cite:df748d838c145396f16a28f3af82b712cff1da7f}}, {{cite:e6da638353a50e494628714bd9da8dc6eb63cb68... | i | 5ecd018cbc82fb13773bb1d57b71b982 |
Two-stage Methods Early methods in Novel Class Discovery {{cite:af97a7b20c1443aa741e799100eb676d5395db9f}}, {{cite:8fc29304f70c78c01fa60eb0aa2178581cf201c7}}, {{cite:01bd9e9f7f2334751d7f248c5f12af599f749c65}} operate in a phased setting. In the first phase, the model learns from the labeled data, and in the subsequen... | m | 83e9de7316b407d1bf1c5d04d65fc272 |
Recently, numerous deep learning algorithms have been designed to classify EEG signals. A convolutional neural network (CNN) has been successfully applied to EEG-based BCIs for end-to-end feature extraction and classification{{cite:454e3bef3a9446ccdb8d5ab696645ff420232978}}, {{cite:381f0b3920a9e4faffd007d5e011e81b42d73... | i | 82441adf60f2c2cafc2ea51ac76a70f7 |
1. {{formula:a844351f-d509-4df3-8cf1-45fa0ff662c2}} -completeness for estimating local quantities. The proofs of our first two {{formula:a68a2e21-6063-4be6-a1ae-07f33b4236d2}} -hardness results (Theorem REF and Theorem REF ) are similar, so we focus on APX-SIM here. Intuitively, our aim is simple: To design our local ... | d | 9883c428c709b03871dc6a0b740d0760 |
COCO. We also evaluate the proposed DucTeacher in classical SSOD setting on COCO {{cite:00600840a24297114cd3c1e0014f974f8b05764c}} following Unbiased Teacher {{cite:6b9ddefab9eca083df7c49af06af319d12d7397e}}. Table REF shows that DucTeacher achieves state-of-the-art performance under different ratios of labeled data. ... | r | 8b0fc1194f6781c66c138de63939a4bf |
where {{formula:ff25f367-9d22-4bce-ad3c-2b671a457aaf}} is the standard deviation of the pulse, which is related to the frequency at which the pulse has the highest magnitude, {{formula:e7f1afa0-19d9-4d22-95dd-566eea2fefea}} , and {{formula:66e911fe-489e-4d2d-a926-a930ae151788}} is the time at which the pulse peaks, ... | m | c70253750af57459acde83bc86e75ebe |
(ii) In {{cite:adb55454ada55d865f35d0ab0b0ca0eda10b3f87}}, {{cite:074cbd2ee244c9c20a1fc92d42ad9f0238638cbc}}, the authors have studied the distinction between black holes and naked singularities using the images of their accretion disks. They have considered a simplified model of spherical accretion onto the central ob... | d | 4ba987a61b419d1c035b9b87d7c14368 |
OLSTar: the population ordinary least squares (OLS) estimator on the target data.
{{formula:ac4ac60d-aab4-4a5b-9ebe-63b7d5225d83}}
This is the oracle target population estimator when we restrict the function class to be linear. Hence the target risk of OLSTar defines the lowest target risk that any linear DA estimat... | m | f7516815a4d4f7ee232263a95ce7a5d9 |
On the other hand, when a mechanical constraint is put to graphene, however, it causes deformation, which changes its properties and improves its technology uses.
This unusual range of elastic response opens a new opportunity to explore the changes induced by the mechanical constraints on the electronic and magnetic pr... | i | 4ef03d926e9440023a1da07c55a5974d |
There is of course the possibility of using lasers to accelerate a sail to relativistic speeds in the space of a few
minutes, as proposed for Breakthrough Starshot. However, even for a mass of just 2.4 g and a theoretical
albedo of {{formula:5e2ba527-cd6f-48d7-8a07-9795cdc47cb4}} , which no metal has, even in the micro... | d | 3119fd4fb53197f60a5d47393d872cd6 |
Finally, as alluded to above, there is a second motivation for believing in the existence of preclusion, one
completely unrelated to any role that may be claimed for preclusion
as a desideratum for addressing issues of probability in the Everett interpretation. It has been argued for decades, using a variety of approac... | d | a84e0fcf9b278211309cc8098818b662 |
We are the first to explore the unsupervised domain adaptation problem between different devices w.r.t the super-resolution task.
We compare our method with existing Synthetic to Real UDA methods for SR,
including Cycle-in-Cycle Generative Adversarial Networks (CinCGAN) {{cite:45cbf01f06c89287b863e0d6f5fe1027df1f7fd8}... | m | 3cb5581e6a015b08cd4b1fd45956e770 |
In summary, there are several resonances which affect the behaviour of the integral cross sections of the title reaction in the energy range {{formula:031d162c-3bcd-48f4-baae-f51c1827720b}} to {{formula:43fb2be1-f8c6-439b-9a1f-32c8ed33afc2}} {{formula:f9ae5214-25d9-4249-84ca-b5fd16a57e50}} {{cite:1f6e63bec729fee2174... | d | 392421aa98fadb5b024a7e5fb78625e4 |
It is always crucial to study the effects of experimental decoherences and noise sources in implementing protocols. We have not discussed them in this review, but one should keep in mind the limitations they pose and the rectifications thereof, for example see {{cite:bf7905ed0e198b2dde23205bb06aebf81d0693e9}}, {{cite:8... | d | 3d46f1fb7958ef3627044ce74d797726 |
Comparison methods.
Since this is the first work to explore UDA-GR from the indoor to outdoor scenes, there is no method directly developed for this problem.
We compare our method with the state-of-the-art gait recognition and UDA ReID methods.
For the gait recognition methods, we select GaitSet {{cite:ab512cc684525c14... | m | 7749224e6f2bba209f3a051b14df7409 |
denotes the Euler–Mascheroni constant (cf. {{cite:a77ba36e6648c0b632376c31953f493a8597d0b3}}). We also recall the asymptotic behavior
(cf. {{cite:a77ba36e6648c0b632376c31953f493a8597d0b3}}, {{cite:979367b89643aa263c22fee45530cd7e90d03fe2}})
{{formula:d5e97704-c3a0-4db7-a330-43d60e698830}}
| r | 99e917f81ceb58bc5a6566ae7248de72 |
In this section, we perform experiments on MS COCO 2017 {{cite:98eba85f0c89274cd24e0c6eac5a6780da5b6697}} using the baseline detector GFLV1 to validate our method. Then, we perform ablation studies to prove the effectiveness of each component. Finally, we discuss the application scenario of our method.
| d | d1b1a8c0e7fcad6141ab0c7d15563261 |
As shown in Fig REF , SimCLR is based on a Siamese-like network that learns to congregate different augmented versions of the same image, and separate dissimilar images (negative examples) to learn latent representations.
Given a batch of {{formula:c3c77511-010e-4492-883f-5946ae2b2ddb}} images, all images are randomly... | m | eaa32a37b97bfaf676d2838e3d9ec620 |
We measured the magnetization using
the magnetic property measurement system (MPMS) of Quantum Design.
We carried out neutron-diffraction experiments
at the Swiss Spallation Neutron Source of
the Paul Scherrer Institut, where
we used the high-resolution powder diffractometer for thermal neutrons {{cite:0a9397ab44a7f38c... | m | 728895e79882b4b62855cb4e773b3b93 |
One of the earliest works to describe adversarial examples was that of {{cite:605906b02f6afb02ca42742c6a89560b02173798}}, motivated by the need for networks that not only generalize well but are also robust to small perturbations of its input. This was followed by a body of works that finds adversarial examples using v... | i | fc34bca7cce280e3f46fc1cc0c88c581 |
The Integrated Gradients (IntGrad) method represents the integral of the gradients along the straightline path from a base input {{formula:da4541ca-a2b4-440e-aa0f-1d5535e20171}} to the input {{formula:dc4659bb-7abd-4e1b-ad68-44ec7aae5fad}}{{cite:9622442ec90c61f5f89e4675405361645cdc9cd1}}. The base input can be a root ... | m | 7d06442d77fc42690afb8502538c0cc4 |
GNN Models & Evaluation Measures.
We use three well-known GNNs as base models, including Graph Convolutional Network (GCN) {{cite:933c8dabefb839185f7b4f6abac83826b80b56b1}}, Simple Graph Convolution (SGC) {{cite:f7adfb04e5d779246d853e3e82c6322b58afbdbe}} and Graph Attention Network (GAT) {{cite:073b8532d64672d8287af4a7... | m | 885f397593f947892746f161216e3724 |
Ultracold atoms in optical lattices have, in the last two decades, been fruitful systems to study the physics of periodic quantum many-body systems in clean and highly controllable settings {{cite:78aeb3251bd5341a3f4a8814d44ada3c14f72fb7}}, {{cite:fec38c6e11675bab7714bd0cd6a868897e255b6c}}. These range from the paradig... | i | 5c3e2b2ec9e6d5c1097ece21a0562eac |
In this paper we have shown that linearized Einstein's equations around the BTZ black brane can be obtained from the first law of entanglement thermodynamics, {{formula:062803ee-9d2e-4cd0-b49b-1afc6f58e662}} , where the reference state was taken to be a thermal state of the CFT which is dual to the black brane. It woul... | d | a84a62c1201957e572a1c6209741e6f9 |
The availability of computation as a resource has been growing exponentially since at least the 1970s, and there is every indication that this resource will continue to become cheaper and more available well into the conceivable future. Researchers have been able to leverage the large amounts compute available to bette... | i | 6b99a699b00f0a56608540cbcaf4755c |
Ever-increasing model complexity has greatly limited the real-world applications of deep neural networks (DNNs) on edge devices. Various methods have been proposed to mitigate this obstacle by the vision community. Generally, existing research can be divided into network pruning {{cite:12aa99ebb3bb0a91d80369190a4766fe1... | i | 4e3a560a9d2a3c5798ba6d291c66515f |
Let {{formula:16420a2a-0fe7-4aad-80a9-2d6e2e77d702}} be the set of all
admissible infinitesimal variations of {{formula:e13f34ae-f572-4cf9-a305-2a2d6c4214ab}} in {{formula:ac83cbf5-2613-4e4e-bda7-d00b28fbe0d4}} ,
defined as in (REF ).
Since {{formula:58651e92-5c4f-435d-8050-45f4a5e5a336}} is a global minimizer,
{{fo... | r | 2a2132a7abe0edfc61cd5ec7ba601caa |
We used T1 weighted slices from the full 3D volumes of 780 subjects from the HCP dataset {{cite:dcbf8f6a94b9107aefadd80ae2a02d46d35e79f4}} for training of the VAE. There were in total 202800 slices of size 252x308, with an isotropic resolution of {{formula:d95585af-0197-42d8-8ade-38083cb20b5c}} . We ran the N4 bias fie... | m | e5525fe0288a4cba85fa40f9c1efebe1 |
Alongside direct measurement of two-point correlation functionsCorrelations along the {{formula:3a33cb0e-f112-4b05-8ad3-9939142d1c67}} and {{formula:b1cd74fc-8281-4536-8ac1-715f61962586}} spin axes can be measured directly via in-situ imaging {{cite:ef6c7f5e8a4af9418f3a28fa7278abb8dd5aef25}} whilst {{formula:96498155... | d | 3aa7e88c2834fe93b57b661dc9ad5a8f |
which holds for {{formula:6f45c887-75d0-4c0b-9c1e-b0e86ea429bb}} and {{formula:554d8141-0c27-4a09-8cd9-1280d77e4762}} solving {{formula:6af34062-70e3-4635-952e-ba9e730c1ba4}} and {{formula:e680388c-049d-425f-bedb-7e05b2fa44ac}} respectively, wherever {{formula:13dd1411-68bf-44ae-97ab-0fd4a82d5620}} . They, then pro... | r | 4d8961d13a4709844734cf459b50f657 |
The conjecture has had quite fascinating implications for single field inflation, particularly those regimes in a General Relativistic Cosmology. It was shown in {{cite:b13405cfdc10dcb76f3e103954f2ef4fb2435a01}} that the swampland conjectures Eq. (1-3) are not consistent with the cosmological data on single field infla... | i | a70f28f743f3520c30248a47a87633cc |
Any enrichment in water-ice material would be only fractional, however, as
discussed in previous studies ({{cite:2ec18204e9d43f8bc2908896cda10e7a72327681}}, {{cite:f62b073d442531e5a048765e5bce054c5aa90bec}}, {{cite:d1f9f759d83a603fe49beb1e6d0d4077bed99ec1}}, {{cite:cf4633681f1921bf70f97b8a5cdbb920e8614967}} and {{cite:... | d | d5e958a89263a3fd9e6bf57866e414d7 |
Knowledge of microscopic events which drive macroscopic properties is of a fundamental interests in the description of materials. The understanding of structural phenomena at the atomic scale is indeed of a crucial role in the potential conception of new materials, which can be part of the resolution of contemporary so... | i | 3e0ffd3d92ceccdd78b91cb7d42d5bee |
From this perspective, a semantic similarity measure bears resemblance with a human expert being summoned to give her opinion on a complex semantic problem.
In domains such as medicine and economic policy, critical choices have be made in uncertain, complex scenarios.
However, disagreement among experts occurs very oft... | i | 08a066d9cdeef0fa48a9d54363138174 |
Traditional feature matching methods use Nearest Neighbor (NN) search
to find potential matches. Recently, many approaches {{cite:bc9065959392eea63d37c608d98fc8d3896a4040}}, {{cite:ea81b2c97b277a95c213238cfb61dbd00769dd07}}, {{cite:70df54e592798afc3a946e1d5891fca4eec97fb8}}, {{cite:adaae61256e2b9d91be01b335076fa8c6ada... | m | efbd91b235e381e15504e1e07ca95945 |
The ramification index {{cite:ce3f92f262123795eba574dcc85747325d0051cb}} and different exponent {{cite:ce3f92f262123795eba574dcc85747325d0051cb}}
are related by Dedekind's different theorem, e.g. cf. {{cite:15a000d2eed8ef086d2ef381780b128d38034f6b}} or {{cite:ce3f92f262123795eba574dcc85747325d0051cb}}:
| r | 302eb4ca2e34be681d99be2391bcaa61 |
The self-attention based methods (also called transformer) {{cite:2ef277a88db824d2aca604c1d90bf1047087649d}}, have demonstrated promising results in various natural language processing (NLP) tasks recently. The transformer model exploits the short/long range context by connecting arbitrary pairs of position in the inpu... | i | c6f74085ff17ff706b0fb70aeec85cf7 |
We develop an alternating direction method of multipliers (ADMM) algorithm {{cite:c3fe4185fe33c9d6ce525b5aeee948533a41415f}}, specifically tailored to solving (REF ).
Our ADMM algorithm is based on solving this equivalent formulation of (REF ):
{{formula:b2a44c5d-dade-404b-93ae-a972a5e57778}}
| m | 0f66d03a97de724a8cea0ecca9fb0685 |
Phase field fracture method is powerful in fracture modelling {{cite:2fe5c1d938df71e48abfba34c23a88c3a54caef7}}.
The difference in tensile and compressive strengths of the material can be considered by dividing the strain energy density into a tensile part affected by the phase field and a compressive part, which is in... | m | 187f13a69591e1c7c99ec5cb5f9661cc |
Our main argument is that text-to-image generative models are being trained on databases originally created to different purposes like image segmentation, hence limiting the way they interpret human language in the specific context of art generation.
SemArt {{cite:d895b1d46daa3082e872ec7be80f8e953640dbbc}} and Artemis ... | r | cf78a5d04f2ddacb35d280bb07b1d236 |
Table REF displays the results of all tested methods.
Based on the table, we have the following observations:
(1) For SD data set, we observe a huge performance gap between validation set and test set.
A similar performance gap appears between I.I.D. split and ComDiv split on both Math23K and MAWPS.
This indicates tha... | r | 653947ef4012fa6a2342b580fba08f36 |
Random neural networks have been extensively studied in the literature {{cite:49c2c9705f1f78a42cd79541a40d184dd1cfda7b}}, {{cite:f756945446023228241e733dce0c9e042b6bfb25}}, {{cite:229900bf1c7999452f81cf54d9a8f954cc89484b}}, {{cite:eb524f08ef85e200102cf5e5407ad3f90940e016}}, {{cite:55e967cdeb1774d0c13b35a398b69b33a0672... | i | 17769e5ad2f0fce48ee548b5813ba55f |
Van der Waals heterostructures comprising a variety of 2D layered materials have emerged as potential building blocks for the future ultrafast and low-power electronic and spintronic devices {{cite:a3b9d978f6e3a1dce9179477a3321466d02c067d}}, {{cite:b6395106752a575cd54589d4756a3cbd1e881f1b}}, {{cite:ed6225aacbe922378a26... | i | 9101bbc63c3d15c8f17965d7dbd273b8 |
Points 1 to 5 of Theorem parallel exactly
those of Theorem , but of course the
definition of {{formula:ea70372a-cc8d-48d1-a935-76d0e609ab91}} is a different one. It is through this definition
that we capture the potential interaction between the ontology and the
structural measures. Note, for example, that the class ... | r | 37922e7dbaea9f6a1dd848192f693e39 |
PDFchem provides a fast calculation of key abundances and emission line ratios that are most commonly used, for large-scale (tens-to-hundreds of pc) inhomogeneous clouds characterized by an {{formula:27447721-fdeb-4e78-8d93-057a7931fb0b}} -PDF. As described earlier, while many such distributions have been obtained for ... | d | 0b7f05008a546eac137e4843fdc15887 |
Due to its irregular format and permutation invariance problem, how to process unstructured representation is one of the greatest challenges to point cloud analysis. PointNet {{cite:e1a1b4efab88f2e6dcadab806da0a7d502e6b07a}} is the pioneering point-based method working on irregular and disordered points, via point-wise... | m | 47d541c0edd3a4834f1bf2ffd8e0488c |
which can be estimated via the popular Newton-Raphson algorithm. In this way, {{formula:d29a1edf-71f3-4caa-a730-8ac7f270af97}} being a convex combination between two distributions, {{formula:2b438112-7082-486d-b609-17a4de25574a}} and {{formula:ec3cb4bf-43e1-4948-a7f5-4d6c2e73bf43}} of equal H-value, and being H at t... | m | 137ea2161ffa27095704aa358e81b616 |
Here we present self-consistent
cosmological zoom-in simulations
run with our updated KETJU code
({{cite:6a29a4af8356483cdf87935d0eb0d1fb8c745d54}}, {{cite:7f6bca0a62e0ff3b940abf5aa9b1f2ce31067048}}, {{cite:0e1d55b2c9fe6c336b752d5162ae140a35845246}}), which is able to resolve the dynamics of merging SMBHs down to tens ... | i | 2bc841c8c05ed68ac031285b1e12bd33 |
Significant progress in deep neural network (DNN) for
vision {{cite:41a95e4d0c30b596eb3624b9039b71b41ac540d1}}, {{cite:f11722cc791646f9023c8a78f3e6c6e5cb4d84f8}}, {{cite:9285ffe0c873f9ee84f4fdbdfa830979791a634a}}, {{cite:0201dd8db7aaf6cf57cfcccb90a695a2ab2c46f6}}, {{cite:5928dda91bfa651220a07059c7f518c31982c4ae}}, {{ci... | i | 7fdbd35e3427a240c51ec4b85d8326f4 |
MS COCO. We also evaluate our method on the COCO dataset, a more challenging dataset, and the results are listed in Tab. REF . In the coco-35/80 setting, compared to the baseline method DD, our method achieves a 2.4% AP improvement, which is prominent for the COCO dataset. In the coco-115/120 setting, where a larger-sc... | m | f6b43da20040ae9949b5501c57fccc93 |
While bridging the sim-to-real gap has traditionally been addressed via domain randomization {{cite:0bd92ca97947faae5b4fe8af2e112c4372ee5672}}, we take inspiration from the robust control literature, and tackle this challenge by developing an approach for adversarial learning of stability certificates for dynamical sys... | i | ad1f7ee08d1cab491bc8c47699d4bdf8 |
One bottleneck of existing image-based 3D mesh reconstruction methods {{cite:8f850b692293f9ae4d7db02d040d8101fa65468b}}, {{cite:33d60104187659a784b5a17ce2e3645e1ba11176}} is that the predicted shapes are assumed to be symmetric.
This assumption does not hold for most non-rigid animals, e.g., birds tilting their heads, ... | i | 4496e06d3ed8977b9c901cc5a7a27890 |
In this task, our backbone model is a GRU (RNN) network with hidden size 128. We convert tweet sentences to sequences of 300-D GloVe {{cite:202c9899c3ac75bbdd12cef9621e90d92a646451}} word vectors as input to the GRU model. We add a binary classifier upon GRU hidden output to classify negative and positive sentiment.
We... | r | 39d69f23f34dab703b48bdca2c8736d6 |
Water molecules are modeled using either the TIP4P potential {{cite:8fca00236ae6da70bd022c1fdd95282332a19b58}} or the SPC/E potential {{cite:d047ceceeb1aaeceef8c8e3c3e7eebbca69ec5e2}} and maintained rigid with the SHAKE algorithm {{cite:0dafd9fdcf055e248e8c16cc964ebe45bf2f0b30}}. Lennard-Jones (LJ) parameters of all co... | m | 9231334da81a549c8b40309d06497231 |
In previous literature, both single-antenna and separate-antenna full-duplex models are investigated. However, using single-antenna as a function of SI cancellation is more attractive because of twofold reasons: first, using two antenna full-duplex system may not achieve any higher throughput than using two antenna in ... | i | f1092380f50833de120be503b1228ebb |
We have a lot of choices for the general framework of the style transfer model from some of the existing literature {{cite:c8607f5960d1b1527615f65d3b2e6ff91d1e635d}}, {{cite:b484489afc4b876c20ffe2b574cbd0208fa115e0}}. We use the model from Gatys et al. {{cite:c8607f5960d1b1527615f65d3b2e6ff91d1e635d}} as our baseline m... | m | 41734ac568bb47daea8f3074bbefee04 |
which is equal to the usual dual index (see for instance {{cite:f8c7152b0bea29680dad6f2eefdb4613ff7e6793}} for the precise definition)
of {{formula:5c423e00-c4d1-44aa-b1e8-c09c8bcc5902}} .
| r | c2e7f91996ef707d9eb1d1aaf026f310 |
Our work is not without limitations: DP-SGLD provides only point estimates of the network's parameters and thus sampling from the posterior when the privacy budget is exhausted is not possible. Furthermore, DP-SGLD converges onto a single mode in the posterior distribution, and is thus not capable of capturing multiple... | d | fefc5a21007e4d8a32fdbdf5338c3325 |
All experiments were carried out on a Nvidia GTX1070 across 100 epochs, with each epoch taking roughly 2 minutes. The Adam optimiser was used with learning rate of {{formula:8ec01696-47e8-4e86-9fb4-36f987904080}} for the SATNet layer, and {{formula:d116a00d-e516-4992-9b3e-aceccd898494}} for the digit classifier {{cit... | r | 1a1842988eae2da1814dbb93c6fae63a |
For comparison, we consider the following schemes. 1) Proposed AO with dynamic IRS: employ different IRS phase shifts in DL and UL with the proposed solutions;
2) GR with dynamic IRS: where Gaussian randomization is applied to recover the rank-one {{formula:5062eb4c-a5fb-4af5-9539-23e783a4abef}} and {{formula:8ad38e7d... | r | 9951773281f480004d9443fe59e4c1ce |
Differential privacy {{cite:5af0b391ffdc529345f235bb49d49d800e199364}} {{cite:9f1935052ea3e401785eb518249bef0412f0fc57}} has been gaining momentum in recent years. It is very reliable in the sense that when applicable, it can provide mathematical insurances to preserve the plausible deniability up to desired thresholds... | d | b5cde8e89d9af0a4be8b5ae0cb5d0c22 |
More recently, the Schrödinger-Newton system was generalized by considering the effects of dark energy in the form of a cosmological constant {{formula:fdb0624a-0fa5-4721-9169-b59b22d8569a}} {{cite:f1571d82c8db97cc22ee56b97c54cd68acced496}}.
This is consistent with the standard {{formula:af8b9e8c-073a-45f0-ac57-a4c6da... | i | 79426ca5e920d3daeacd9779b181e7c3 |
The present work provides the basis to derive characteristics of interacting RnT particles and those subject to external potentials on the basis of field theories. Using this framework provides a flexible, extensible, systmatic and perturbative approach to active matter. It comes equipped with the powerful tool of the ... | d | 21b904385a2344980aaa7e835e27dcb7 |
Another approach that is commonly used to address the problem of separation is regularization. In this approach, instead of maximizing the log-likelihood function, a weighted average of the log-likelihood function and a penalty function, {{formula:b2560eda-f79b-4a36-b9cb-81c722f62354}} , is maximized. This penalty func... | m | c87c823216a2747c2130ec7fa23dd701 |
We consider four multi-label classification datasets, summarized in Table REF : Cora {{cite:0a9c91b6102a0c03f700ebba89ea32ede7e4cb73}}, a Machine Learning citation graph labeled by subfield; CiteSeer {{cite:0a9c91b6102a0c03f700ebba89ea32ede7e4cb73}}, a scientific citation graph labeled by research area; PubMed {{cite:0... | m | df0be6a6a944153c33a34a1e1528d00e |
Our model consists of a student and a teacher model {{cite:367d8d12d7e0905d58ef4bcb66ffd1c1e67fe24b}}, denoted by parameters {{formula:5382d44c-45a7-4f7d-b5b7-89cb496de123}} , respectively, which parameterize the classifier {{formula:6a2fed34-803c-42fc-abac-9627f42355ae}} .
This classifier can be decomposed as {{formul... | m | 05cdb7e9bfd6637c3a01fb33c2115c82 |
Computational cost, observation window, and latency Our model has around 17M parameters, which is less than some SOTA SR DNNs, such as EDSR {{cite:355b9c533761d95bb92959620058f00c4cd49935}}, RDN {{cite:509a80e8f60f73f309a85101e41ef62289f7ce4b}}, thus the training time is comparable with others. The inference time is ar... | d | 637fbcebf74f4ddd473a3334a7c0076b |
There is a number of open inferential extensions that remain interesting directions for future work under our distance-to-set regularization approach. For instance, loss functions do not always originate from likelihoods, so there is value in extending our framework to more general settings such as Gibbs posteriors {{c... | d | 043c31ac4e939011a95d8203aec40a27 |
As discussed in the preliminaries section,
accurate models with small quantization errors can provide better training performance
along with more stable weight convergence.
In existing works of binarized CNNs ({{cite:a6bb17edb2458a7fdd54a04edeb4fe74e164f1a6}}, {{cite:a111a50007038cd50b338e3729c8b19d3d1f8773}}, {{cite:c... | m | 471a413cd2b0476d7f0affa32cb1a077 |
A different perspective has been advocated in {{cite:d68114fddbd8513f1d3632e58c3a2317eb104527}}
which argues for the importance of proper distance to arrive at the rigorous result.
Due to the singular nature of the metric (REF ),
the proper radial distance here is not {{formula:81870172-bf18-4fa2-a047-b310db977447}} , ... | m | 6f464eeea34b1cb2cf6bd7cdfb7aa49f |
Dynamic Modality-Level Attention Fusion.
Since we utilize three encoders to separately deal with the relationship between each existing modality and the target modality, we aim at deeply fusing features extracted by those different encoders. Inspired by the SE module {{cite:5a3e4b8b1a1101205380a06f181313eae85c8135}}, ... | m | dc60a13b4cef60a907acd84121ecf5cc |
where the nuclear modification factor {{formula:e4689e38-ab94-494d-be4d-a7cc4bbbffa8}} accounts for the fact that the gluon distributionRecall that the value of {{formula:aff255b7-8bd1-4d9b-92f3-9ff17c7818e1}} is almost completely driven by the gluon distribution. in the lead ion may differ from the sum of the gluon... | r | b619231b031be7cb4ece3ac5ff35670b |
In Fig. 6 we show the corresponding decomposition of the data contours for the XCDM model as well. In the upper-left plot we display the two-dimensional contours at {{formula:1cb7344d-490f-4b1f-af5a-88bc0420840d}} and {{formula:95ae827a-7e2f-44c8-a3a2-e3c8bd3698df}} c.l. in the {{formula:ef5cab61-72bd-45b6-acd2-6dd64... | d | 96cb62e174b6b265817e8cfe47ed938b |
We evaluated three DRL algorithms, Rainbow DQN {{cite:9d2176d96d741c92bf2577db1c50eec97177c619}}, Discrete Soft Actor-Critic (SAC) {{cite:10f334be8123d7049cfe81f1fcc26b980482e675}}, and Advantage Actor-Critic (A2C) {{cite:064162253f1cefc8d73c8b49a2556359154998b7}}, and a random agent baseline.
All DRL algorithms used a... | m | a82d445c44f7dbe44f092fd5f7945f2b |
We further evaluate our approaches on the PASCAL VOC 2012 test set. Following prior works {{cite:40e493227e14ede61f961e65cb42a9b956115f54}}, {{cite:3363189ebdc8e1b13100dfe4e6df407e9cab71d7}}, {{cite:4a1dd263462c14d3d4770b05f0eb1cd1348d88aa}}, before evaluating our method on the test set, we first train on the augmented... | r | 3ab4e2f8f7e2c73203709299ed44ff44 |
Besides boosting relevant tasks using StaQC, future work includes:
(1) We currently only consider a code snippet to be a standalone solution or not. In many cases, code snippets in an answer post serve as multiple steps and should be merged to form a complete solution {{cite:e0d248b173ec38389eaf0bb9fc85944808af6ade}}. ... | d | a9b58c9eab576205bf284d16738abcb0 |
All reactive molecular dynamics simulations has carry out performed by non-equilibrium molecular dynamics method {{cite:85b8b5dc24106974cbac7831c689bad0e9bd8664}}, {{cite:a9e7995ae0782bc7f52ded8e7527e4579874dbdc}}, {{cite:3d34a94cc42ebec941d438c3d6b01ca603390e74}}. The numerical atomic positions os carbon atoms are cal... | m | e59148fcac3e61c9f1438cce5edb0b75 |
These approaches vary in defining typical motion characteristics for clustering. Yan et. al {{cite:1803feb4258bc129bf95c7792066d8c18f9869cd}} propose to cluster trajectories based on geometric constraints (trajectories of the same motion lie in a manifold) and locality. In {{cite:611a65943fa403877eec440cf342f8ece2e08f5... | m | ca872b9ad305e6948c22a81371d55601 |
The space {{formula:68d9f1fe-2c11-4ce0-9223-064f2f9d12b1}} is a complete metric space and so is the product {{formula:2ce073f8-6026-42a6-a79b-c370ab8b2175}} with {{formula:8cfd74e4-93e7-43d4-850e-809f39b770ea}} . In {{cite:08e8e7614fbca4788defa1320d8e7471ef535811}} the following was shown by extending techniques of {... | r | 854e7a3445d42a6792380675b6c1f4a8 |
On the other hand, to remove the need for differentiating through the LL optimization path, especially when the LL dynamic system iterates many times, a type of implicit gradient-based BLO methods (called I-GBLOs for simplicity) is employed in {{cite:0761a56506668e4c75ce2ddb6223745e73fa756e}}, {{cite:433a615078d7941bce... | i | 779da6aa2d9990a080fe9d8567fe73a9 |
Novelty, anomaly, outlier, abnormality and out-of-distribution (OOD) detection are closely related topics {{cite:d6584d46cbbe7587c7064691ef10d58c9116b26a}}. The distinction between them is vague across variety of literature studies {{cite:1a09f993c24e941879672d9934dadeb6c6e68309}}, {{cite:4663c658d763b21be6c559e3c6b9a0... | i | ed8d8ee700a1c9836265c32a932b620a |
From the considered spin correction in eq. (REF ), we have obtained the expected results for the spin vertices as in {{cite:e8cc7771cb861d60a4b51a95c3a7626b2d742ef7}}, with the difference that our spin supplementary condition and relativistic spin allow us to remove any acceleration dependent correction, to express the... | d | 9e90d5e04f79986d4c669018f409547a |
Large-scale language modeling has demonstrated exciting performance gains in zero-shot classification when combined with explicit, prompted supervision.
Here, existing labeled datasets are transformed into prompted training examples, which redefine classification tasks as generative, text completion tasks {{cite:c033d2... | i | cccb84c4209c154ab1667d74b6574ac4 |
The relative {{formula:a473e8fe-d834-4056-9d1e-db4916f8c54d}} yields as a function of the relative charged-particle multiplicity measured at mid- and forward rapidity in pp collisions at {{formula:c85664e9-0cd6-403c-a4dc-70cfd7ee4640}} , 7 and 13 TeV are shown in Fig. REF . The measurements differ for the physical eve... | r | 61056c135adba0b4eeef96eb3bd30979 |
Nevertheless, the corona parameters ({{formula:ee50dcd3-a7a2-44fb-85ee-759121eac7de}} , {{formula:b9892b06-ffa5-44bc-9df3-97d18ab801b0}} and {{formula:97ce128f-f1d6-49a3-b43a-3019b6d32bfc}} ) change little during the soft-to-hard transition, although the inner part of the corona (from the NS surface to the corotation ... | d | 87885d42019aed0c99a695f04528b04f |
The three parameters of the adopted model as shown in Eq. REF are {{formula:b5dcf218-3154-4019-a6fc-9f0a939ac272}} , {{formula:fcf368c7-c71c-4d63-932e-d419daf6cd27}} , and {{formula:60aec7b0-6455-4a5b-89ad-4b6285e8d0de}} . A Markov Chain Monte Carlo (MCMC) {{cite:d8efc742b5dfbb942911f02bddd306822c01325c}} sampling met... | r | 3d0fb84303feec52de6c424b4d38c4b6 |
We investigate which probabilistic deep learning model design could concurrently learn both to provide calibrated class probabilities in-domain and to accurately identify OOD samples after being trained only on data from the target domain towards a single objective. We take Evidential Deep Learning (EDL) {{cite:69dd7d8... | i | b64791c7738363485a5846ae7a8b0ff5 |
The particle nature and properties of dark matter (DM)
can be probed by the direct detection experiments, typically utilizing nuclear or electron recoils {{cite:a4999c6ede86fc6064a4c08e1ca548053d8abbd9}}.
Recently, the XENON1T experiment found an excess in the electron recoil spectrum around {{formula:07cab9f3-c341-418... | i | fda282e5a37148aaa967f9ff0e38f678 |
The conductivity dependence on the temperature, determined by the response and transfer curves, which were acquired at different temperatures, reveals that the charge transport is dominated by a thermionic emission over an energy barrier. There are three main mechanisms of transport across an energy barrier: (1) thermi... | r | 70c040023fce009411f47f07e28ea67d |
Set {{formula:845c9737-394a-4d97-a005-8b5d5a9250dc}} . Then, by the Independence Theorem {{cite:1c21c8350808468953cb750994abd9e887cbdce5}} and above remark, we have {{formula:ae5d6187-14bf-48f1-94f9-fd3dc5a078e2}} . Hence {{formula:c4499e43-8f25-4bd7-b3d1-0af5e9d8a36b}} is a right exact functor on the category of {{fo... | r | b116ef9e533307e1aa7fc32780307afa |
We compare the performance of PUCRL2 with three other algorithms: (i) UCRL2 {{cite:ae33230fc724f2da8354733dbee26d074f57b08e}} which provides optimal static regret in stationary MDP setting, (ii) UCRL3 {{cite:f3e645edbcd80d028f0ccd684b4d1044f629e717}} which is a recent improvement over UCRL2, and (iii) BORL {{cite:a2048... | r | 5a0ee25b359da7c78e39b81e6c05d658 |
One of the advantages in using the probabilistic framework is that it makes the analysis of statistical certainty more straightforward. A posterior distribution for the test statistic, Kendall's {{formula:f3b53c75-62c6-47e5-a4ec-380adb1c315a}} can directly be computed from the model parameter {{formula:b18f2a3b-b799-4... | d | c8b73660aebc440a81c8c5de4d118bba |
Another major development was then achieved with the generalization of the QSLs
to the evolution of open quantum systems {{cite:2f019db0098dcb2e4ddab27af48b60f4bc6bd372}}, {{cite:c2953aafd3eb9202561af046864bc264d63eddb6}}, {{cite:7e3e74bffd68a08d2b544f3747d973a4743a9e31}}, {{cite:889c5bfeef40fd31f15cda79d6fe50c134e4529... | i | ff4fca586bd8fc6396cef39deffa0d71 |
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