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The function class {{formula:53ca0ef7-804c-4510-9c1d-994008832fa7}} in this paper is constructed by the feedforward neural networks with the ReLU activation function.
Some recent results on the approximation theory of deep neural networks can be found in
{{cite:d15c45b5004ff5b0470c78ef35dbdb4df1a3e584}}, {{cite:367351... | r | 5129fe8a4451725a8b44c0fc08917b27 |
Lemma 4 (Linear convergence of an exact entropy-regularized NPG, Theorem 1 in {{cite:22afd7451b0a0f8cbec1fb223da2347088b71b21}})
For any learning rate {{formula:07ce353e-ffca-410f-bdde-a37764f2ba6b}} and any {{formula:d498d54d-d950-4b2c-b2e2-908c7cd4e46c}} , the entropy-regularized NPG updates satisfy
{{formula:7c8e... | r | e46cde520820a833baee7569202eb015 |
In GĂĄt {{cite:5e3576d842fd73c4db71fefd7491e7129d96d269}} (see also Simon {{cite:4bc137d678be00e4756987a0b52ecbc6a3519fbe}}) the following strong convergence result was obtained for
all {{formula:a893e393-75e1-488f-800d-c30aa869f0bb}}
{{formula:fa6f043c-4658-4b4c-84ae-65518333175c}}
| i | b5e67b66c4d0909cefc40657c58963c2 |
It is often convenient to consider covariant phase spaces, that is
to include symmetries along with the space (or space-time) generators.
Noncommutative {{formula:3a297922-1650-4ef6-be04-ea7766ea306a}} -deformed Minkowski space has been complemented with
appropriate momenta into a noncommutative phase space in a number... | i | 07fa1e546a0c0e3a80d936c3183990c2 |
Experiment Setup & Implementation Details.
We used two-stream I3D {{cite:d6473854efc3e16e56764ce8bb451c981b99653f}} for feature extraction, yet increased the stride of the sliding window to 16. Following {{cite:b0a02fabc984f384e2bf3d8d5fb97a0401cf664d}}, {{cite:b52c75290d9accd25dc89828f102398cdbc105b7}}, {{cite:2840612... | r | b0bf7432880d90f05d216d70fe5c8b38 |
The second line of work targets a large collection of unstructured text (such as Wikipedia) {{cite:c8c956ad1b0715d5241a66a0ea366e253fe9104e}} as the source of answers.
While the unstructured text is infinitely varied, open-domain question answering from text (TextQA) has advanced greatly in recent years {{cite:91a4fa5a... | i | a456f6c7886ba87176502df56bd4fd1e |
Local Navigation Policy: Once a frame has been associated with a scene the policy is used for local navigation. Images are matched using graph neural-network based feature-matching {{cite:2da7f0fd69f063dde0b0f3d47aaad6ee1a452624}}. Intermediate images are said to have been identified when the matching score {{formula:2... | m | 3b1d1ca56beee69bbb10a4474dd815b4 |
with {{formula:30608ee7-9289-4713-bc87-63133b107da7}} carrying {{formula:18718954-b18b-458b-af3b-0ec5db3752c3}} and {{formula:183703e5-80fc-4a28-aa3a-22b9cc4d9e85}}
favored to carry {{formula:66f960c3-dde3-45b4-9768-30c4a4cd7d35}} . The masses of {{formula:0bed56a6-feed-4388-bbcd-ebeb8e5b2d20}} and
{{formula:c240f1... | i | edb050cf3ed6dc40f2840420652e3533 |
Private information retrieval (PIR) is a communication protocol presented in seminal work {{cite:4ee0c524b2b211c34fb7b3709d597df79273aeb3}} and is devised for the secure use of information stored in databases. In the PIR problem, a user wants to download one of the messages from multiple databases. A user sends queries... | i | ca95b9e24b60db2079e9bcb85a9a1b72 |
Policy gradient methods {{cite:6fb83a96586c47f3c7839f21aad1f9681f8d1802}} are a popular choice for a variety of reinforcement learning tasks. Suppose the policy {{formula:168361e6-5306-439b-b65f-954356f8eb9f}} of an agent is parametrized by {{formula:7aecf977-fc78-4343-a0b4-5f7d6d5fd1f0}} . Policy gradient methods aim... | m | 98fb1d39db5d2924ce904b2c37837014 |
Generative methods learn to generate new data with similar distributions to obey the distribution of the observed data. With the ability to learn latent representations, the auto-encoder (AE) {{cite:99d2875de197253aab2c9a1c7baeb7d94fe90e12}} is widely used. Vincent et al. {{cite:03e97aed3cf16086c63a39ea18ab63da22a79d40... | m | 222a354d05f5899786723ec18bcbd25c |
The class-wise vulnerability of the SI {{cite:66d73a79cb88288eb6b5dfe3d86457e1fe7cb7b3}} against the FGSM, PGD, and CW {{cite:cceff7ffb4d3b29c215d08507950b6a5e69f61c6}}, {{cite:c3fccf0ff9253b92c42d2bf0bfc9f109ecfd1a1a}}, {{cite:3519d381d3816b9d84b2d65e2bb04bb34bae094c}} adversarial attacks under Task-IL setting of cont... | r | 1d95faec8bb16ea5caa6b317f5e8ab3b |
In this section, the numerical results will validate the performance of our proposed scheme. We assume that uniform linear arrays (ULAs) are deployed at the Alice, Bob and Willie, respectively. In contrast, HR-RIS uses a unified plane array (UPA) with {{formula:3fae5b47-16de-4f9f-9a11-fc093c4c6d22}} elements. Furtherm... | r | 89b85f8e36ad25c275e963272c6cb7f2 |
The result now follows by Lemma 1 of {{cite:1f45f0c0ebe1badd3d2cbd3f2d6c489fca0ee005}}.{{formula:52b50034-26aa-4e94-9629-700d39e9e076}}
| r | 98b39e4928a7d2290351208479a38c15 |
The premier promise of holography is to uncover universal phenomena at strong coupling, and explain these phenomena in a qualitative manner. Several such examples are listed at the end of section . We should ask whether there are similar examples with magnetic fields. The answer is in the affirmative. One such example ... | d | 7f8841f78f79d49b1fd1e4c992015efd |
black
Figure REF illustrates our evaluation setup using the cycle-accurate NeuroXplorer {{cite:9d08cc4537c761d9d157616e20f448095285e24a}} framework.
This framework is validated extensively against the DYNAP-SE neuromorphic hardware {{cite:465b014c6c865330af82311eac958d270d48d2f6}}, {{cite:0dbab28aa0e554f00f73ca4017d7b... | m | 1f467b01df7960b5f9470b01e8130a9d |
Datasets: We demonstrate the effectiveness of the proposed model in two open-sourced dataset and one private dataset: ORCAS dataset {{cite:5cf515f03c23f451e6bd152e7095cee63a241a81}}, Yandex click dataset {{cite:025fd9208dfa078e2a89a941952ac23c4255e1d3}} and the real interactive dataset from a large e-commerce website (... | d | aa48ce46a4a915de54ee12383e6be9c4 |
In this work we introduce valuable new methods for studying deep reinforcement learning, and use them to discover new results about the optimization characteristics of popular RL environments. Reward surfaces provide a useful overview of the reward structure of an environment. Loss landscapes have already been used in ... | d | 71ccf493add1d01a4e5417e34e05c214 |
We refer {{cite:096193f4de577fdffe415af5729a300240907c96}} for the proof.
{{formula:935062e6-4f42-437d-8009-9253b3d43177}}
Lemma 4.2
For any complex number {{formula:5d31c7eb-08f3-4bff-8848-5a8986789491}} , we have
{{formula:e3b8d886-83e5-47ec-ad19-eaf9b259956e}}
This is the duplication formula for the gamma functio... | r | 7bf765150b3f5d60451446575ea2b7a8 |
This paper takes a different approach to {{cite:3afb8b5bce22091852481700bef9d3e0d28153e3}}, {{cite:bac827f4dc0a851322c705fb2e24523f2ee61946}}, {{cite:a8ab0ca41ad9917ea7874ff776cbe1c2daaed904}}, {{cite:5fd6d69e5c4463a7612fe60e23534eb9a525cd81}} to establish an achievability bound that applies to finite block length code... | i | 7a2422063b451c954d82a0a27897af89 |
In addition, the main challenges of diagnosing TB with chest X-ray images include the low visual contrast between lesions and other regions, and distortions induced by other overlapping tissues. Sometimes it is difficult for radiologists to recognize obscure diseases.For CTD, previous methods mainly concentrated on dis... | i | 3d30c8cadda4ae5d659f218fa0bc9bb4 |
Comfort loss (Comfort): the mean comfort loss value for a chair generated given an input body shape (in kilopascals; lower is better).
Poss loss (Pose): the mean pose matching loss value for a chair generated given an input body shape (in centimeters; lower is better).
Frechet Distance (FD): the Frechet Distance {{c... | r | 0967867ce7ca84fc7dd1d9d19d32d726 |
Lemma 3.3 {{cite:96252ac4943d9fc043a0de79c212a10b2b1c5ff9}}, {{cite:e491596df8bccde99d89c9afb58943ad3e157f9b}}, {{cite:d6fd4d53da71b31d70900cc748bf6450a3463772}}
{{formula:868a52de-fb5a-4804-ba49-c24d890d55a4}} ; {{formula:cc4c6b39-f9bc-4773-b59f-cb7190c30977}} ;
{{formula:a9110b62-31c4-41cc-9853-8cc993f6724f}} .
| r | b6f63945a17ab0d4e1dbf261e42508f8 |
Let {{formula:8e575dc6-9c3b-4c36-a0dc-eba71f6d3717}} be a kernel, {{formula:0ed2ea1c-82f7-4887-8743-f3d6472ac5fb}} the corresponding RKHS and {{formula:fb8e1644-608b-4a2f-bc57-c49404c97f18}} be paired observations. In Nyström KRR {{cite:d6f3cad9ca0b75246b1c79ade0b5c42e6d2eb448}} we seek to minimise the empirical ris... | m | a3f59035f4112ec56806325bdb34b2b4 |
In this study, we replace the hidden layers of the MLPs (see Fig. REF ) by the NODEs (see Fig. REF ). The input layer and output layer are the same as in the case of the conventional MLP-based EDMD-DL.
Also, the parameter update scheme shares the same idea as that of the original EDMD-DL {{cite:11d25439264cee357825bed0... | m | 0e0be7b6953665b42366a09efa1b8941 |
There have been many recent advances on the theoretical properties of sampling algorithms for approximate inference, which changed our interpretation and understanding of them. Particularly worth mentioning is the work of {{cite:427f9e67737a71639cd345c3a67b28eddb82ccfd}}, who reinterpret Markov Chain Monte Carlo (MCMC)... | i | 8805ebe88bb5422cacf2cdbf901f985b |
The total transverse rapidity of the {{formula:c2da7216-1102-4e6a-804a-a0f2b8333497}} th azimuthal bin is the summation of all particles' transverse rapidity in an event, and its average is {{cite:ba44e304cf0f7c5c383561aca6e1503d92725d56}}, {{cite:2197f44d75a453d379ccac63d4296dde6137acb4}}, {{cite:8b7c854f849842d28e9ea... | m | 84db59dce60321930d298a6335dd5b21 |
Controllability issues for nondegenerate hyperbolic equations have been a mainstream topic over the past several years, and numerous developments have been pursued (see for example {{cite:26078d72a32cbf2c618f56c3600eca385a67346b}}, {{cite:942cc503fb1a9eb82f3a7e12356ae383b01a7aa1}}, {{cite:69a6e7a4d8953ca739fda0803ce848... | i | 771aaf1cc9a56fd32f0e5a62206b4274 |
Deep-learning-based methods have gained superior popularity in recent years. Inspired by 2D image denoising network DnCNN {{cite:013a7583dba379ffb37b1d4055815c18a081da9d}}, Chang et al {{cite:5d8cf5037c6f4efe5fdd8dc052d090692e1275a2}} proposed HSI-DeNet that learns multi-channel 2-D filters to model spectral correlatio... | m | e1ea4c3ce3080a50454d3404abf0acbb |
Our time-averaged spectroscopy shows that absorbed blackbody model provides a good fit for the burst spectra yielding an emitting radius ({{formula:cae1e83e-4b85-4b98-87d0-da9026eade15}} ) of {{formula:3d41b652-f679-473b-89fb-ed01dbe8fd5d}} 2.3–6.8 km and blackbody temperature ({{formula:7c0c0ab0-8787-4926-890d-2e727e4... | d | 6555cff8d7e0afb18130159084d6981d |
Betweenness was extended recently to link streams {{cite:036364996f0bcf5c5e73a4590467d71bde78f3e4}}, a family of formal objects that model sequences of interactions over time in a way similar to the modeling of relations by graphs.
They are equivalent to other objects like time-varying graphs (TVG) {{cite:8820890357173... | i | 6a817f1ba02c2d5cee565eab4be1a8e7 |
Numerous works have been addressed towards the task of SISR {{cite:3ebfc21623d3cc9efc516dc2346894a820adbc17}}, {{cite:7011e7b9cf8dfb56e553b60251e6466361e12a96}}, {{cite:43c892b20f39938464bef687d955cf10a82fcbd2}}, {{cite:10d6434c2e87462ad371817992ab32e2de446464}}, {{cite:4d777fde008cc7bc468f83ad2da63cd0d80e95cf}}, {{cit... | i | a1769fa058c94ce52a2e53e5ef16d7a7 |
This paper is concerned with the study of anisotropic Besov regularity estimates for parabolic partial diffenential equations (PDEs). Regularity estimates in Besov spaces are always important since they determine the convergence order of adaptive and other nonlinear constructive approximation schemes for the correspond... | i | 6e3facbae23d8e976f99ff1fc54b3965 |
There are a number of avenues for further work. Firstly, one could
apply the SCH operator to different Yang-Mills solutions, and
see what general conclusions can be reached about their possible
SCH groups. It would also be interesting to look at how to
match the holonomy and its single copy in gauge and gravity theorie... | d | a0dfb053ff7b673e80dad117d5f3c463 |
Multi-agent reinforcement learning (MARL) extends the decision-making capabilities of single-agent RL to include distributed decision making problems.
In MARL, multiple agents are trained to act as individual decision makers of some larger system, typically with the goal of achieving a scalable and effective decentrali... | i | 1b5c746fc2164ec51d05da8e3e210070 |
In this paper we have studied the vacuum zero point energy in a black hole background. We are interested in the limit where the Compton length of the fundamental field is much smaller than the black hole horizon radius, corresponding to {{formula:35f62b12-750a-4e5f-8dd6-d001bc58dc59}} . We have demonstrated the validit... | d | 40846499bc57122ab53dc9c3d19d85d4 |
Exemplary {{formula:757d0bb6-ede4-4b5e-9080-a9d5e2b4dc41}} -band light curves the F- and 1O-mode
of a donor-turned-AC model
with {{formula:250a4bad-80b7-485e-8644-dd4559fa2e63}} at {{formula:739fb0df-c6d9-4881-96c8-804bb4b498cd}} , and {{formula:26eb0691-7e28-45cd-b4c0-92615fd524a2}} K.
The F-mode's I-band amplitude ... | d | aa502bf0ea18d4a9b4196c84a1b79b84 |
Undirected graphical models, also known as Markov Random Fields (MRF), provide a framework for modeling high dimensional distributions with dependent variables. Ising models are a special class of discrete pairwise graphical models originated from statistical physics. Ising models have numerous applications in
computer... | i | b18261fc6f79fbf6350b974104456c21 |
Transformer-based methods {{cite:4042a8c7b0e10adcc6366ef71c7bc39fb390f81e}}, {{cite:09274bb1d4f87feefdb97db4fa769c79307ba03d}} have attracted more and more attention and achieved great performance in person ReID. For example, the pure transformer-based method TransReID {{cite:4042a8c7b0e10adcc6366ef71c7bc39fb390f81e}} ... | i | 07fdba2e74ade2cecb33a40b862697df |
For the problem of counting points in thin spherical shells (Subsection REF ) we recover the bound (REF ) of Landau {{cite:e30658afa530d7be39b022923e1099b9d2ca7fab}}, see also the comments after Theorem REF .
The problem of bounding {{formula:4f6c865e-b93e-461a-afd6-f5b441d6ae2e}} norms of eigenfunctions was prevous... | r | d86c264f941d6fcc394d7ebca2194ad6 |
In this way, one can think of Inflation and Quintessence as of the two different sides of a coin or, after the introduction by
Peebles and Vilenkin, in their seminal paper {{cite:80a3650d98119ff6d6887037a1bf3c471320ace0}}, of the concept of Quintessential Inflation (QI),
as just a unique kind of force, which describes ... | i | 79514857714c7c77419847ad95dfe595 |
Markov-chain Monte Carlo (MCMC) techniques, reviewed in Section REF , draw parameter {{formula:43a68f99-bf33-4b47-9824-4b895ff00187}} samples from the posterior by using a Markov chain with {{formula:4d90a826-b39a-479b-a003-d43f8e68a47d}} as its invariant, i.e., stationary, distribution.
We employ two such methods, n... | m | 7766edba6323f12f3793357f74da8f9f |
Aiming to enhance the performance of QKD systems, it is essential to develop ultrafast clock rate QKD devices capable of delivering high secret key rates for widespread applications. However, even for GHz clock rates, QKD transmitters exhibit intensity correlations {{cite:dd938b334febac7e87b531bf0316b68e60af8237}}, {{c... | d | 52abf78ea056267def7c03de3bc3afaf |
The only long-lasting foray into classical measurement seems to be the body of work surrounding Maxwell's demon and the foundations of thermodynamics. The demon was first conceptualized by Maxwell in 1867 {{cite:e4cb2eb5e1cd8baa01905ab651729d8f55d7c736}} as a “very observant and neat-fingered being" capable of monitori... | i | 9d9c395b1a27294023cb7fba31b3d866 |
Several limitations of this work warrant further discussion. While DeshadowGAN has performed relatively well on baseline OCT images from healthy eyes, we cannot confirm that its performance will remain the same for eyes with pathological conditions such as glaucoma. This is because deep learning approaches respond unpr... | d | 4e12dc38b9aff31fc9f9aac9f9dbb41e |
The kernel Stein discrepancy (KSD) {{cite:9757a0c66a15e7680da80dec6ba0b2978a1bda62}}, {{cite:ef5a7049dfbd48d6ec55561a201c67e114f8e36c}} is a kernel-based discrepancy between probability measures. It provides a convenient approach to measure the divergence between a set of samples and a target probability measure which ... | i | c8270374eec8dabc3e01f52890ad4b44 |
An interesting discovery was made by changing the periodicity of spacetime or adding boundaries {{cite:ecac2f5c5cdfedae5b1aa2960b309419ec76fd17}}, {{cite:c024936809d38bcb144de3796ad2c02a16e52f4c}}. When we express the entanglement entropy in the path integral formalism, the reduced density matrix and the entanglement e... | i | f63383ca4c1302d203faf03255b296f2 |
Cahn-Hilliard equation was originally
introduced {{cite:133f8ee2481ed5388d7d373aa4df51584529baf9}}, {{cite:d3bc9f833c7a1ac42357cfa759da2dac0270e3d7}} as a phenomenological
model of phase separation in a binary alloy and it has been
successfully applied in different contexts as a model which
characterizes phase segregat... | i | 9f9a75b60d94f91d0b2670085332262e |
In order to prove Theorem REF , we need the following two lemmas. The first one is an immediate consequence of Dedekind's theorem. The second one follows from {{cite:8422a01d8afe35696e0ff70726293853c9a87f93}}.
| r | 312c7074674c6b444a8a9d7a8e40959f |
The system architecture, as shown in Figure REF is composed of multiple object detectors (face, nose and coin), convolutional neural networks for landmark identification followed by a stage which combines the results of landmark identification stages to compute a recommended mask size. The face detector is the entry p... | m | 0b1f5b7b67118a234554d6c51eccf156 |
Our MCMC examination of the first six DM halos in a completely uniform framework of input data allows us to produce {{formula:008b8ddc-b1da-487a-b371-02719c18406d}} and {{formula:ef289000-348b-45a7-ad4a-cba40a1b1f1d}} values for dSphs in agreement with the literature. The most discrepant result is {{formula:9e3fad11-... | d | a2df164a73fb54f3f13c06bdfb46f64d |
Depending on whether the exchange integrals {{formula:506119a7-e468-4c7f-85c6-2ce221888577}} are considered as isotropic or anisotropic there are two possible scenarios. In the first, one notes a striking similarity of magnetic ordering patterns of {{formula:f5a5b11a-97f9-4b6f-9cf4-fab276a83a92}} and rare-earth metal... | d | ed7d8a778baeb0e3c06d262caf899e01 |
Answer retrieval is to find the most aligned answer from a large set of candidates given a question {{cite:1ddcc204dca6400c00921884b679f8fa93805932}}, {{cite:3e6d4b85bf420bc8b666844d1d787b38d95d77e5}}. It has been paid increasing attention by the NLP and information retrieval community {{cite:d234fb91cd8d10ca6035dd3350... | i | 96b5560d3bdc309c405d0ecb2e911062 |
Table REF provides an extensive comparison of the iteration complexities — including both upper and lower bounds — of PG and NPG methods under softmax parameterization.
As suggested by our result, the iteration complexity {{formula:8236ed12-53f1-496a-ba65-19225909c479}} derived in {{cite:fac541e2b3463ec38d45df5528fea... | r | 7256316f918b7606e4cbf310188918a5 |
These results incited us to revisit the emission of the HCN and HNC isotopologues in L1157-B1 in a more comprehensive and accurate way than was possible before. This study benefits from the unbiased and high-sensitivity millimeter spectral line survey of the shock region carried out as part of the IRAM 30m Large Progra... | i | bea7fb5ddfc72a6a726b5ac3c740049f |
This kind of dynamics is known to generically lead to a
final state where the system divides into two groups
{{cite:0c9dcae598fa0068e80eb31f31b7b6ce75777d50}}, {{cite:7efd718172763e8b433f1944dd3b5ecee1bf4de1}}, {{cite:aca812bdfee2e43a158ae36fd9cb8bda90d044b8}}, {{cite:73ad0a546ba8d39593943bd46f61a479064b8b17}}, {{cite:... | i | be80e9e84f6d8b1f0a8d9f09ab2f3998 |
Currently, there is no doubt that computational simulations play an important role in the development of fundamental science as well as engineering applications.
Molecular Dynamics (MD) simulations and Monte Carlo (MC) simulations have been established to simulate the behaviours of materials in dense gas, liquid, and s... | i | a24eba86fc20610e10fb796e0b5db0ab |
Sim-to-real transfer has emerged as a dominant paradigm for learning-based robotics.
Real world training is often slow, cost-prohibitive, and poses safety-related challenges, so training in simulation is an attractive alternative and has been explored for a number of real world tasks, including object manipulation {{ci... | i | fbbb58a8ebde5389f98803e4d1b5fbb0 |
Above we have described a principled generative capsules model. It
leads directly to a variational inference
algorithm which can handle either a mixture formulation or
incorporation of the DS matrix constraint.
We have also shown that this formulation outperforms the CCAE of {{cite:361a9e4996b4dc65e51380e2eef77a3bb3bca... | d | e8904ce8ea6afa56bfe70136a8683e30 |
Recently, the North American Nanohertz Observatory for Gravitational Wave
(NANOGrav) Collaboration {{cite:6233864c0cc712ec9fb7b580bb867b45a5f422bc}} has reported an
analysis of 12.5-year pulsar timing array (PTA) data. According to the
analysis {{cite:6233864c0cc712ec9fb7b580bb867b45a5f422bc}}, a possible evidence is f... | i | 30e06d394f7367efc6977c55f19f200f |
Step 3: Querying the Human. We elicit preferences over trajectories from the human in the loop, by querying
pairs of attacking trajectories, ensuring that queried trajectories actually exhibit different behaviour (differently from past work on preference elicitation, which samples trajectories uniformly at random {{cit... | m | 208e4a8ff181201510b502881385eb8e |
Style transfer to 3D models resembles video stylization use case, however,
there are specific features worth separate discussion. In this scenario we let
the user select a camera viewpoint from which a 3D model is rendered to get
image {{formula:5b1b471c-e7b5-4457-b94d-423308730d99}} . As the network {{formula:b7e06044... | r | d30b139d951d8ded2d6382e56cf2245a |
The study of topological insulators has developed into a vast research field {{cite:71a2585315d00b441c647db65599a1463a0de54a}}, {{cite:d7f9300bd21fdc38c8ed97f454eb63e3714c8d83}}, {{cite:a344ded25cf64d72abcd0f81f6cf9ffe4fd76fc7}}, {{cite:4b8be4aaddb03d55db0ef26c6783d1aa1dd7663f}}. A conventional {{formula:1b54e429-9354-... | i | 215036063213f371f791c282b1a102a8 |
The testing and benchmarking of QAML models involve selection of datasets, generation of adversarial attacks, implementation of classical and quantum ML models and a systematic investigation of attack transferability and defence. In this work, we investigate QAML across a diverse set of well-known image datasets, inclu... | r | e5e621f5cc6fce075ce09e6c05066c3a |
Here {{formula:cd19db8a-04e6-4e04-beae-30720d37ca24}} is the weight factor taken as {{formula:5f28e0c1-fea4-41bb-b490-39bae1f7f3a2}} of the particle for optimal resolution. The {{formula:4165a4a9-599d-49d0-ad1c-a3561415e9e1}} order event plane has a symmetry of 2{{formula:b38d485a-3e5f-4c2d-b829-bfe6ccd0639c}} /n an... | m | 8ed065756a8536ee400431996ec88b54 |
All graphs in this document are finite and simple.
Let us repeat some basic facts about strongly
regular graphs and bounds on their parameters:
Our notation for strongly regular graphs is standard,
cf. {{cite:a9e3f879fc7c531964555228dafb10ec17f2c04c}}, {{cite:427939ac97897e74539682c6510142637e502551}}.
A strongly regul... | i | 750d6d101c5801d89772d827872e0fe4 |
To confirm the superiority of our algorithm over the compared approaches, and especially LP, we suggest to use the Friedman test and Nemenyi test {{cite:201d9aaf451ab70fc54d4d298b674c591c911ef4}}. First, algorithms are ranked according to their performance on each dataset, then there are as many rankings as their are d... | r | 53e247d436b69100684fcd9091558632 |
with {{formula:6e77fa26-d27e-41b9-ad1e-0523027f51a5}} and {{formula:0231581b-a2ff-4e87-9e3f-e96bfa6f326f}} . On the left side of figure REF , we show the GW spectrum for {{formula:0f5147f6-6c67-4540-955d-2aea70153bba}} with loop size {{formula:278b650c-ec0f-411d-9621-3786e7211016}} and {{formula:ff5de391-ea4e-4c04-b... | d | b84c6fab8fedd36a6679e34a7c05e141 |
We can hence estimate
{{formula:d6006d8d-0117-4972-8e2d-02aed8583af6}} as large as {{formula:77f27102-2f4c-43de-9ed3-21cb9c33e297}} ,
which seems to be very accessible to the LHCb experiment. However,
there might exist other resonant decays to interfere with
{{formula:5a4646b8-db7e-48d7-949f-c256930e81d6}} ,
which wou... | r | 60f8e1bb696aa88b5a5c9477e2981245 |
The technique to obtain the effective action will be the Functional Renormalization Group (FRG) {{cite:7243f4b1a58e8253adb1ff462be5386b53cb7102}}, in the LPA approximation. We will follow the scale evolution of the couplings of the theory written up around the physical vacuum, containing also symmetry breaking terms. W... | i | 1099f03081728ba1d3ddb460bbfff332 |
Audio-driven facial simulation technology is also attracting much research. Because little has been done to model expressive visual behavior during speech, Yong et al.{{cite:168838f73efe1eae0df7b02c67a546cae08c9de6}} address this issue using a machine learning approach that relies on a database of speech-related high-f... | i | d51326eb9c76510ef4f0332f9ae8ad7c |
In order to constrain the allowed parameter space and investigate neutrino phenomenology, the model predictions for neutrino mass-squared differences {{formula:86527f87-8f8d-44d1-ab7b-79e8d2374c67}} and mixing angles {{formula:034cd22a-8a85-433a-aced-df446d8f353e}} are compared with 3{{formula:722adafe-cf63-43b1-a49b... | d | 4676627e263cac60b633da1409ac7f67 |
For background on mixing times, cut-off, and related material, see,
for example, {{cite:a860f9f3a81a48b91d289126413d10351330c0c5}}.
| i | ba326e4eb83ba82e57c26857d5d1b94b |
DNNs has greatly boosted the performance of image classification due to its power of image feature learning {{cite:dd95789993ebba1a0ea1dc2b69f45db631cb8b90}}. The active retinal disease is characterized by exudates around retinal vessels resulting in cuffing of the affected vessels {{cite:d542f657fc1823cce32b2f82b6e104... | m | c399956c517f6e1e22f86dc6162287e0 |
Deep Neural Networks (DNNs) are prone to over-fitting and often tend to make overly confident predictions {{cite:e043b2c4af92b80b75f91ebbb1a70041d8837153}}, especially with inputs that are out of the original training data distribution.
Ideally, we would like to have a principled DNN that assigns low confidence scores ... | i | 1555184124d48dd92521384d8d0476d3 |
In this work, we investigated optimal methods for pair-wise binding
based on the VSA framework {{cite:4abfa09377222f2415d87d0352119120eba4f3cb}}, {{cite:dd4a0eb20b585bb111566fa875e51c3c865dc391}}, {{cite:20e38213b23825021cf417ee33b75fb9574f0ab9}}.
We first numerically optimized the binding and unbinding operators
for t... | d | 3fffdf85cea5550292d94787bec0690a |
For our interventions, we used two different variations of the TS algorithm. For Weeks 1 and 2, we used a UR-TS Hybrid where the TS updating of the probability that an arm has the highest click rate used data from the UR participants too. This hybrid is called {{formula:2e872f5f-6eda-40c4-b7cb-4d02b9a9545a}} [0.5]-TS, ... | m | 7474dace756f3c2165cd22d1152ad5f3 |
Let {{formula:0246ad30-9f53-4147-b836-f4264664a866}} be as described. By the fixed point theorem in the appendix (Theorem REF ),
it suffices to show that {{formula:009feace-d628-4aea-840c-c578197559a3}} is an increasing concave self-map on
{{formula:d2018d0f-feed-452d-b7d1-37803d068269}} with {{formula:185dd40c-1272... | r | 8f9489b7e8f479556cdee582db0d9f41 |
We fuse the multimodal data sources in the following way as demonstrated in Figure REF : each satellite image data source is encoded using an independent CNN encoder (we use smaller MixNet {{cite:e913f12bbacb32830022cf050bb6a7d7b5ca102f}} for the simpler, non-changing Copernicus data and EfficientNets {{cite:9a18bdc7b7... | m | 345344702753d657ca69acc7c15a7f66 |
Criterion for choosing correlations: From experimental results, we propose to evaluate the reconstruction results using the pore-size distribution function {{formula:d1dba62a-4b8b-49fc-8774-9399bb666093}} as a surrogate. Specifically, {{formula:ecb258f2-037c-4c08-b666-e37992898482}} provides the probability that a sp... | r | 3cf24313778375fa2b152e37cca8b4a4 |
In agreement with experiment, we obtain a negative charge-transfer insulator {{cite:ff231a0f66ab3dfd2f54567ac6115eef452109d6}}, {{cite:de8266316b664a17eb459f17ad6b34776f428322}} with an energy gap of {{formula:52b25b1f-7935-4d9c-9dfe-f911a815b7e4}} 0.6 eV (see the left panel of Fig. REF ). Moreover, our analysis of the... | r | b90f599ccf155371c204914b17ace8f2 |
Our work is relevant however to more than just the FR thought experiment. Our results speak to unresolved issues in the Wigner's Friend paradox by identifying the state specific role a “memory” must play for an observer (rather than a superobserver) in the paradox. Thus, the transition between the two experimental cont... | d | fba58691f5bbc132d0235dd99e7756fd |
Gated Recurrent Unit (GRU): GRU {{cite:b02cc9df12e75eb029bca98a248326f2b693c62f}} is another version of recurrent neural network, but has fewer parameters than LSTM. It has also been widely used for stock prediction {{cite:132e08d8ebf44627cb1fca2eac2da01975fdf2d5}}, {{cite:145259ba9298baf7180862b935a6cb210e420812}}. Th... | m | 8c75fad1d085b208be6fc3014e7a147f |
Throughout this article, only win-loss scenarios are considered. For a standard Bradley-Terry model, typically two approaches to handling draws are considered: either by using ordinal logistic regression, treating win, loss, draw as outcomes from an ordered multinomial random variable, which can then be analysed via an... | d | 4ffbd4712bca5b14e5c7960aa81c4070 |
Table REF quantifies the Mean Absolute Error (MAE) values, the number of parameters, and the un-optimised inference times of the proposed network (with 5 folds), a UNet-like network (UNet Lite; see Table REF in appendix A for architectural details) with a similar number of parameters, a full UNet {{cite:87082f1f77d49... | r | be36d257389b3597594a240b9bfa00d7 |
blackAs shown in Fig. REF , the input size of point cloud {{formula:0e81ed60-4fd1-407f-bac3-a956b89d29c8}} is {{formula:59f5cc10-e43d-4719-a26a-a1590c7f03a8}} , where {{formula:630caf5f-faaf-4b2c-8b7f-96d63081e1f0}} is the number of points, and {{formula:51739a86-e7e6-495f-960e-0f10661011fb}} is the extra channels a... | m | 5ad4880bac36cb8ba240fc9b21eeab51 |
Self-supervised methods aim at learning representations without the need for external supervision.
Absent explicit labels generated by humans, the success of these methods relies on the design of proxy learning tasks in which pseudo-labels are generated from patterns in the data.
These methods solve proxy tasks on unla... | i | 3a1cc8d18f773cd45cf3baa4b4ffd245 |
We also compare FST to the Fair Empirical Risk Minimization (FERM) {{cite:eaf769cc64479285bbecccfef612c8a13451cd03}} approach. We use the codehttps://github.com/jmikko/fair_ERM provided by the authors. FERM, although a general principle, has been specified only for binary classification problems with hinge loss as the ... | r | 8e7b47c44c7555cfee463cc0a479a680 |
Remark.
In real-world micro-video applications, multi-task learning framework {{cite:19a1ac4bc731a33507cf09ec88fd78af4b58dea7}}, {{cite:9d7b4bb4b7fb9abe57d7fd5ce6e492e073c91ade}} is usually adopted, which includes targets other than watch time, such as like, comment, follow, and so on.
Although these signals may not be... | d | 4420e687245ee0a034bdd84818692d6c |
Moser iteration (see example, {{cite:c0b3292bbf015cd6d2f72bca040bc5ea19746598}}) and {{formula:85f2defd-c199-48f5-9b76-182f217b1a98}} estimation (see {{cite:e9fdcfa2fb8c49de21fe4faa96067f4e69865c3c}}) yield that {{formula:91c3d7df-88dd-4b0d-a156-2c3e1cbeb9a6}} is smooth, and thus the critical point {{formula:4c22177a... | r | a165ef49e635a90018616ace3c1e2576 |
The charged-kaon production ({{formula:23878ebb-d4af-4b13-bbdf-35e9cc11205c}} ) measurement at MINERvA {{cite:3cb90c78ed0b3ec56405623670248aa2ce34244d}} experiment opens a new window to study the weak strangeness production mechanisms in detail. The weak processes that could lead to kaons in the final state are either ... | i | d913480e5c047a9f4f3eb4da706b3292 |
We have fitted 19 dipion {{formula:a82678f0-cc8e-404a-b99e-d8d5fc3267e7}} ranges(see Table I) using equation 7. We
included minijets up to {{formula:6e8022ae-378d-4a10-875d-3eb032f3d51d}} = 3 and resonances {{formula:09b5519a-1e88-4567-b5ab-2a0d7ff45487}} {{formula:011b6a2e-dc08-4bcb-84cc-ccd625239824}} = 0,
{{form... | d | 0ae1ee29a0b7125d4e607c947236ee87 |
We discuss two classes of theories. In the first class, {{formula:d637c582-0ae6-4601-aa38-666861d89981}} , Sec. and , we are able to prove the {{formula:c1c335c2-084f-4000-b517-feb7f7991eae}} {{formula:042050c6-c050-4223-a6bd-69e8da2f8832}} dualities using basic Seiberg dualities {{cite:48a3874b82a9108b0e572a8629d53... | i | f921c12c159c1b77a8a855c67e16d91d |
We have established a variational formulation for the role of depth in random neural networks with batch normalization: The entropy of hidden representations increases with depth up to constants. Is this entropy increase achieved by a gradient flow in the space of probability measures? This question is inspired by the ... | d | fc3d941f0245e14449bb872e1abc837c |
A shell confinement model provides a new, unique boundary condition {{cite:1c3efa2d3d88b67b4ec37de3aa5bad91fea496a3}}, {{cite:40cec9d4667bdfe088249fd51a372e2d980f78f1}}, {{cite:dfb9455f35200fdd46a7bb932cf3756d4dcd76e8}}. An appropriate choice of inner ({{formula:289cba6f-d81b-4adf-bf45-78069e8d3739}} )
and outer ({{for... | i | fc053d9c72a5ad16551a6ab0fd054351 |
We further investigate how our model pre-trained on ShapeNet can perform on scans of real objects. We use the Redwood 3DScans dataset {{cite:a8feb3e1e89a7c02ab3507d03a269bbf606cc068}} and test our model on partial shapes of chairs and tables, sampled from its depth images. Since the GenRe benchmark {{cite:2ff98b46f9c6c... | r | cc4d35783097fe2818718e67fe23d22c |
The physics of vector meson photoproduction is described, e.g., in Refs. {{cite:3f18647eb44c08c42cdbfc9401d5a68345089d36}}, {{cite:de8dcbf1b501082ed2e383575f722d34795b9fe2}}, {{cite:2c61eaffe47ecf1d9ab01d7b128565a3fa0d9235}}, {{cite:6f95b3d23eb3a84a64c49aa242362327a20bc7ce}}. Two vector meson photoproduction processes,... | i | d8eaac063a63055531bc256d44d642c3 |
We find that datasets produced with Algorithm suffer from what is commonly termed the obfuscated gradient phenomenon {{cite:1bd281f6a597ce165390179dea84039d588e63d7}}, a situation where model gradients do not provide good directions for generating successful adversarial examples. However, in the past, this has only be... | d | 2aa4a5b482beee0380b7986622e8c338 |
Collaboration naturally gives rise to challenges that originate from the fact that multiple users participate in inference. These include privacy concerns, due to the exchange of acquired samples; security considerations, as a malicious users can affect prediction; and communication bottlenecks affecting the exchange o... | d | edfb54ec99dbca36360421b4c38fbd23 |
Before briefly discussing the minimization of the GL functional {{formula:116ee8e3-3525-4631-ae6f-e899324ff0d2}} , note that the matrix {{formula:56e2acd1-6444-475b-84c2-82eedac911e4}} needs to be positive semi-definite, as otherwise the {{formula:c3915ff3-33fd-4727-91cb-3fd999f9472d}} becomes unbounded below. This d... | m | c44196d87af1c88faba05fa6fa1cbc5b |
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