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Adiabatic quantum algorithms (AQAs), also in the class of quantum computing approaches that employ a quantum hardware expressed as time-dependent Hamiltonians, have preceded VQAs {{cite:24f8062d90e98c3de85d24bd77cb2d876d0b871c}}, {{cite:b702388ac0f3c8451251526276d73e18116ba34f}}. AQAs exploit the fact that a quantum sy... | i | 329d9c489bbc9a4173cf14a002bbd641 |
In {{cite:b3d9fe8b86f64eedf5717be23ce26fb5c1bd76af}}, An et al. (team “SJTU EIEE 2-426Lab”) proposed a framework which is based on the subsequent application of 3 different U-Nets.
The first U-Net is used to coarsely segment the tumor and then select a bounding-box.
Then, the second network performs a finer segmentatio... | m | 5c7d86d3a14f3493b8508fb71935b3cf |
We go beyond the so-called scaling regime by computing the time evolution of the string network parameters (long string mean velocity and correlation length) and thus the loop-production efficiency during modifications of the equation of state of the universe, see right panel of Fig. REF . Including these transient ef... | i | 9453fffe4eca17321c249cc606ceec11 |
More recently, there has been significant interest in cross-domain text-to-SQL modeling innovation {{cite:22ea062f873e71b4456fc416d8d78b50a27c952d}}, {{cite:808988db65d43e2fd08fc701d331a9e9e9576232}}, {{cite:953235470e9554c830432c46446220c304cda611}}, {{cite:09d34f18f2021010dbe1f3754e09bbe6f64773b7}}, {{cite:a6b2d91f1d... | i | 19d9c4180a0e541dbb2396092821e8df |
We assume that labeled clean data ({{formula:99674db4-8dc9-41af-a148-f42f9060975d}} ) from the source domain ({{formula:7f36d7c3-7581-452f-bd1c-2c62956645b9}} )
and unlabeled weather-affected data from the target domain ({{formula:f2133c4f-2e2a-4007-ae80-22febc62dfa6}} ) are available. Here, {{formula:87f0f27e-80f7-41e... | m | 8c33eea128742247db9985f9c370f930 |
Although the experiment results show promising results, IGSG has some limitations. Mainly, false or failed predictions from the Faster-RCNN object detector and the scene graph generator results in a corrupted image scene graph. This prevents IGSG from achieving accurate grounding and asking relevant disambiguating ques... | d | b99f4e3bb1ed47a77677bd05330f5800 |
The galaxy KK242 is also interesting for a deeper insight as one
of a few known dTr objects in the void environment.
The great majority of the 30 known dTrs within the distances of
5 Mpc {{cite:b4098d984137cb9cbfd87905343f2f4056add709}} are related to a more typical
environment like the Local Group and similar nearby g... | i | 8fba4969388ed6c83410696b13eace83 |
Comparison with competing methods.
To demonstrate the superiority of our proposed multi-label classification optimization objective, we conducted several comparative experiments with other alternative methods based on ResNet50 {{cite:bd02b3ee7195a01ab48595b9ea7b7f66beed758b}}.
We consider several methods including:
| r | b8e3d12dcd731da7376b502360e58c19 |
The first process is the formation of primary precursors at the vacuum-medium interface. It depends only on the highest frequency {{formula:0266dec4-589b-4b29-a9d0-60bb280db1a5}} (REF ), which is translated into the finest time interval {{formula:2db4b507-6ce3-4378-a9f5-28e81a981c78}} and the shortest distance {{form... | d | 95eb87bf1985cc7c90773847259f84ad |
The single organ segmentation has been the dominant task for decades, where numerous solutions have been developed {{cite:81cada71ba9b7f5e3b01d1018d519f9fb49dcd27}}, {{cite:b13188a2342a5bed890df85f44e7df599f888a02}}, {{cite:bdb690da17a1be63921a68dcbf7c67a05acb4bd6}}, {{cite:8a30659ce19af5696a7c825086b53cf8bd45ea0c}}, {... | m | f7005197112f1669e62f8ede6fc9855f |
We train the STDP block independently as a separate neural network as shown in Fig REF on the ImageNet traffic dataset. The ImageNet traffic dataset is a subset of the ImageNet dataset consisting of only the traffic signs, cars, and pedestrians. Since STDP is an unsupervised learning method, it need not be trained on... | m | b80877ea053bead56b0873a7bb021038 |
We next consider this problem in {{formula:daeeceaf-eacb-4340-b729-591e500f7f19}} , which is the dual of the projective tensor product space {{formula:b402de4f-fba2-4eb8-9f81-318979d58782}} .
Since we are in a dual space, for {{formula:cf577f94-4801-4442-92d9-a7de862b38f4}} that attains its norm, we use the notation {... | r | 3de17bc5c79b7488e7949bd3fb151198 |
In this section, we compare AdapterBias to other parameter-efficient methods, including Adapters {{cite:a93a65010dc48e4f395f1ca53ad4ca2988e1da4d}}, Diff-pruning {{cite:828350db07348f58c35f174909dfa810a8605380}}, BitFit {{cite:d4e221c4c7530a238271d54c3e5111461d5c26ac}}, and LoRA {{cite:276a976473592b97e28757acda5b684414... | r | 40f8c2821c22c1b6e726d1a247357f09 |
In this section, we derive an efficient strategy for solving the formulated problem (REF ).
We first rewrite (REF ) and (REF ) by using the equivalence between the WMR and the WMMSE to reformulate the original problem (REF ) into a more tractable form {{cite:e45cf415bf7ea77e199c90093472f4ed7a1b4b03}}, then optimize the... | m | bd698e4084e57899421fd7c1ccb4809f |
The present work is devoted to the geometry of the Gromov–Hausdorff distance {{cite:976c8f485b09c59f9e707349cd2a1c9038948b10}}, {{cite:368505724145adbd44377da872ee54c69cb8ebda}}, {{cite:3dbe50cf8369cd0a6d6b63942243d003a764add9}}, {{cite:985595558c96e692219b1b3eca5d5993baae6d71}} defined on the collection of all non-emp... | i | 8300e14c66a8f02b602ac194228766ff |
Fig. 11 shows the symbol error rate (SER) against SNR. We use 16-QAM transmitted symbols.
The curve Random phase represents the SER performance, where the IRS phases are chosen randomly.
The curve Method {{cite:a7b113811125413ef0924ea33c3689bf622c5f97}} and designed phase represents the SER performance when the CSI is ... | r | 73f40aebd176d9bf9def564992c61754 |
In Tab. REF , we present the Top-1 classification accuracy of our method and comparison methods. The results of comparison methods are quoted from {{cite:1061022b1c1342a25243106dbb1423ace1e9d869}}.
Teacher-student pairs of the same and different architecture styles are considered.
For pairs of same architecture style, ... | r | 5aa99d86c612ba59345f6b0db431e6bb |
To detect keypoints in blurred images, a straightforward way is to utilize a deblurring algorithm to restore the latent sharp image and then to detect keypoints from the restored image. Image/video deblurring methods have been well developed over the last decades, which mainly consist of classic gradient-descent method... | i | 09f4437e89e8a8873be32702e2a51c24 |
We have
{{formula:8b5c83d0-5be5-4e60-9483-e11e635e68d3}}
According to the monotonicity of {{formula:ab63fab4-0658-4332-99c1-9d7767b5986c}} we have
{{formula:6518b6f5-cd89-40f9-82b2-21c9cb82dde3}}
which implies
{{formula:7d1b183d-d456-4b34-8158-8c62481eadbb}}
After division by {{formula:c0846e59-3a44-4571-b4bc-aec42... | r | 44a36b586411d27a2ee3ebee930ac54b |
Despite the importance and ubiquity of non-stationary risk-sensitive RL problems, the literature lacks provably efficient algorithms and theoretical results. In this work, we study risk-sensitive RL with an entropic risk measure {{cite:8d1d9ac7aaccbe1c7d3296a743769d12606305fa}} under episodic Markov decision processes ... | i | c97509326ac4b106d88aa27920560121 |
We compare several methods, some of them are designed to work in a linear model: Lasso {{cite:0e458741e27de19327cbb812702b6ca0b8eb06ec}}, adLasso {{cite:8a98f873ecba25b7c7451656b8ba80975e01e0f8}} and procbol {{cite:e64ee282585b98dbe76b99fd150de3af49c811ab}}, while others are designed to work in a linear mixed model: lm... | m | c4796617f28bcd8d0223bb75b331f067 |
The authors highlight that neural networks allow for tremendous freedom with regards to structure, hyper-parameters, regularization, and other factors that may affect performance.
We have tested several architectures and selected the best result for this paper, but acknowledge that our work falls considerably short of ... | d | 3595773a087fef80d182deec63f636ca |
In this section, we present our active learning framework for object detection. Let {{formula:3f2ee8b3-e5f3-4723-820b-b6248a637749}} be a dataset divided into a labeled set {{formula:65584dc3-e453-4e1a-b83f-3694c8b09ccb}} and a pool of unlabeled data {{formula:0859a931-0ba6-42cc-a86e-f58efb796ecc}} .
We start with a ... | m | f6cd7607fb0bbd2d9d6212c48079178a |
A fundamental concept in quantum information theory is the understanding of
entanglement. Quantum entanglement can be viewed as a crucial resource in
quantum information. The key question is how to quantify and classify
entanglement of quantum states. Polynomial functions in the coefficients of
pure states which are in... | i | a48d6e32e3f9ce50ae9e2e3074c96711 |
The biological motivation for our the model is the retina, where both lateral
and vertical coupling by electric synapses (gap junctions) occur, forming
neuronal networks with stacked layers {{cite:fe7b7da9fce22ec3015847ef624e5c18ce027494}}. All these electric
synapses are plastic, from the milisseconds to the minutes t... | d | ff1a72bb5c9cf5e0c415c64d712e10b1 |
More recently, a new method has been proposed where finite-size effects are expressed in terms of the forward Compton amplitude of the pion {{cite:2a477b71da5e1fbff3e537ef17546e86378fe0da}} in an expansion in {{formula:770b6ccd-a15c-4521-9444-d6d9eaa4a39e}} . The first publication was restricted to the dominant {{formu... | m | 84e2788e31841663bbc775b4a55e5685 |
Optical Character Recognition (OCR) has been deployed in a wide range of environments, from document digitization {{cite:b8a0ae7df2252c67acfb10f58fb9f6d90d7f7c75}} to road sign recognition {{cite:39aae7be4df7b3e0cc4be4930a53791454e74747}}. Egocentric data
presents a number of additional challenges, such as occlusion, m... | i | 7b2564ec9d9273e7d42501dd7918badb |
Optimality for coarse SNMMs is simpler than optimality for more traditional
SNMMs (see {{cite:87162a3a9937472f69b602a9a6241ae06c1f8e25}} {{cite:87162a3a9937472f69b602a9a6241ae06c1f8e25}}, {{cite:0b9513753df87f31fc87d5f075c52c11ed5736e2}} {{cite:0b9513753df87f31fc87d5f075c52c11ed5736e2}}),
because coarse SNMMs avoid the... | i | 3670d4312c2807b051d78bfa7be37a4d |
Currently, deep learning methods
dominate the field of machine learning
owing to their experimental performance in numerous applications
{{cite:985fb9db6d8685791a95f4efcf1299f87eaa762e}}, {{cite:51d3ee95c7142e7f4d59b9888503f4bf8fe4a02b}}.
However, they typically consist of overly complex models
of a great many paramete... | i | 511353a5c5658e1251ce6ef4c958391d |
Remark 13 Let {{formula:1ed4511f-32fa-4737-ae8f-fbaa345592f9}} be Banach spaces such that {{formula:53f7a0be-c268-4083-b66c-68856ec6e4bb}} or {{formula:79f8c276-1444-49cd-9b78-3c9b4d45940b}} has the compact metric approximation property. It can be shown that there is a contractive projection {{formula:cc37b270-4a61-... | r | 5566bc9cee427d2a9d72a5dd4ff5d04d |
Many typical verb representations, including FrameNet {{cite:e5d75dbc6e20bb11ae697c1faf3c68ae8416e4a0}}, PropBank {{cite:55d2a4c9c4d43a14bde3877834f6bc909c231d90}}, and VerbNet {{cite:693ed01086bd36a876c58bf18a56dadb3958fac3}}, describe verbs' semantic roles (e.g. ingestor and ingestibles for “eat”). However, semantic ... | i | 5bc41537bf9c8ccfd46751e8201e60d7 |
Experiments were conducted using sagittal slices covering 15 positions on the right liver lobe from 12 volunteers. Each anatomical position comprises 50 dynamics. These cine-phase scans were acquired on a Siemens Skyra 3T scanner using a 2D T2-weighted true FISP sequence. Pixel spacing, slice thickness and temporal res... | r | 2337733a469dac9353c3be1ed23c6ad2 |
Finally, transfer learning, in the form of pre-trained embeddings such as fastText is extremelly useful in the sense that the learned representations capture semantic properties of words in a unsupervised learning fashion and we also allow fine-tuning, which is proven to further enchance the accuracy of the models {{ci... | d | 55ede0d4cd70792e7d7fa69a926b7927 |
We also note that quasiperiodically-driven many-body quantum
systems, with two or more incommensurate drive frequencies, have
received attention only
recently {{cite:9a07a477373545f54949807edf27bf4fc00fb610}}, {{cite:0600ccb7023acf3fbf6ba94bfe40be2fd08fa3c7}}, {{cite:1dba21ea790d54e1861ed051b908b19ca888f2bb}}, {{cite:3... | d | f01fcfc073e1034367af5741f403ec3c |
The quantum stochastic drift protocol {{cite:ce12268e96d760aec219f711deb47ae602d68f4c}}, or qDRIFT, is spiritually related to linear combination of unitaries but uses classically controlled evolutions rather than quantum controlled ones. This approach drifts towards the correct unitary time-evolution with high precisio... | i | 990747a4fd6ff53681e833c4aa3e5e03 |
The Stein Variational Probabilistic Roadmap proves to be a robust method for efficiently generating graphs well-suited for multi-query planning, outperforming existing biased-sampler PRM approaches.
Future work will investigate how to pick the appropriate prior distributions as well as number of particles, with more em... | d | a02b4abf233074051f0ef112af75c514 |
In terms of methodology, there are several ways in which the definitions of the post-block trajectories themselves could be refined. While we measure departure as a binary value, in reality community participation occurs on a variable scale and it is possible that blocked users do not depart, but drastically reduce the... | d | 04ad191e1e461eeadd4e14a40a11e3a7 |
The quantitative boundary estimate (REF ) was established
by Chen {{cite:adbd6fd6043f2c5537e556657b6c50c9715903ed}} for Dirichlet problem of complex Monge-Ampère equation on {{formula:de287695-4ff3-4174-a708-53b8f59a55fe}} ,
and further by Phong-Sturm {{cite:ab178453419a9787515472c68b671874693f1745}} for Dirichlet prob... | r | ec90b378b38640cd515f0923c27935bf |
Rather, the ablation experiments of Table REF demonstrate the contributions of our methods with respect to a fixed network architecture.
The first row establishes a baseline, using the network trained without the negative depth loss (i.e., {{formula:4e392ca1-95e9-4837-a054-93003f7adb8d}} ) and no occlusion-handling me... | r | cd127961a99a3659dd5ba469d0bb080b |
Multi-agent trajectory prediction aims to predict future trajectories of multiple agents conditioned on their past movements. This task is critical to numerous real-world applications, such as autonomous driving {{cite:0603f27a6fd07fd46e468eed85bc7208f18c30bc}}, {{cite:33b6b03c03bf463db0ce990b2531d5a4111a0617}}, {{cite... | i | 0f3b2111f801577ade184b4e964af151 |
In EigenFind, for images {{formula:93eb500b-0506-47ba-bede-d18a822cf204}} classified as {{formula:68d2e33e-5ed9-4a30-afb1-48c64062baa4}} , we calculate how moving their latents in the direction of each of the top {{formula:466ba956-1830-458b-89b5-8d57757dc8d0}} StyleSpace Eigenvectors affects the classifier decisionB... | m | 0b0e98e72b8b28ac499d60f024c3b9b7 |
More latest observational evidence indicates that the center of our
Milky Way harbours the closest candidate for a supermassive black
hole with strong magnetic fields. Using multi-frequency measurements
with several radio telescopes, {{cite:e75a3f5e45224fa58ca28f9c73f6d44a08fcc9ad}} showed that there is a
dynamically r... | i | 398d407e596ae53d03de8e10ca06b5d2 |
In this section, we present numerical results to verify the performance of the proposed transmission scheme based on Bayesian optimization. The BS is equipped with {{formula:b66ac639-e77a-4d74-a341-099f61cf2f5c}} antennas. The number of elements in RIS is {{formula:4b756003-cb4f-4845-a997-57d49a568a33}} if there is n... | r | 53cd9e03c419cba5682a7eeabeaa4f68 |
The KITTI outdoor dataset {{cite:3c5552d8d1bb5a1e9d6b5d6ae04556f8b45bb9dc}} has a maximum distance of 100 meters, which makes it more challenging compared to an indoor dataset. We compare the results of our approach with existing approaches {{cite:259ec8e602e0328ff7229bf12e2ede7e4b6faa92}}, {{cite:33223d582b3baf8347445... | r | d87addf918fabbfe4e2eee4f47307cde |
On the other hand, the fractional calculus is a generalization of classical
differentiation and integration into non-integer order. Some fundamental
definitions of fractional derivatives were given by Riemann-Liouville,
Hadamard, Caputo, Hilfer, Liouville-Caputo, Grünwald-Letnikov, Riesz,
Coimbra and Weyl. The fraction... | i | f670f58ec7c082e390a5c27883b4985b |
Curriculum learning for neural network optimization has been implemented in a variety of ways. Approaches in {{cite:2885eb32a576e5a2db2a3208cec2f5314e6b9cab}}, {{cite:36ce8ddda8fb64433b3b1c54b13bf56a6e7f15e3}}, {{cite:94527d9cc359578e5735c2925dfb471e1cbf8e81}} propose a sampling strategy where a scoring function is the... | m | 5a362a4864c046107f984051c8c3b81b |
where {{formula:36508d7d-3c9d-45e0-a8b6-e504292ece66}}
represents the
desired gap or “margin” between scores for {{formula:bce3102c-11f7-4607-835f-e85cfef84305}} and {{formula:4d3a6940-bda6-4676-baf9-34a128777a17}} .
For suitable {{formula:d8f7fc1d-e9ac-4db6-9fd0-554235296add}} , this loss allows for greater emphasi... | m | 54bd521ed3a892efa87fb89b682cadbd |
In this paper, we propose a novel framework – Spatial Content Alignment GAN (SCA-GAN) to mainly enhance the content consistency for garment texture and human facial characteristics. We adopt a two-phase approach to map the misaligned content information to spatially aligned feature space. Firstly, we employ a Prior Con... | i | ffd885f33e984111b14e7ee339964c7d |
Earlier works {{cite:7cc573ce807e1ce1cbbbd98df90dbfe0198a15b3}}, {{cite:bddef2e20afec2b68de8339154e5204599973c8a}}, {{cite:1705e59ce078eab14953836c8d475d994c7dd9d3}}, {{cite:409b3baf507fb76cdd7e6b4fbcb92c89aea9f2b1}}, {{cite:add815f663c2eac812f236ecf19cb531c2b2d831}}, {{cite:60337ba78681d0bf0514f22501c072bd2e139f08}}, ... | m | 32a5c649fb482e6d1806ab4e1ac0a88d |
Fractional calculus and related equations have become important
topics in many science and engineering fields. For instance, they
appear in mathematical modeling {{cite:307de33ef8e4cbb4367f85e23370c89535782582}}, {{cite:393bd700f90f9a2f39b62f13c768fe0e27877fdb}}, control engineering
{{cite:a616f5eb04eb685a204ac8380bdbe... | i | 2cd8ce0042bd468630002fdf79a2a195 |
We evaluate both Private-UCB-PO and Private-UCB-VI under different privacy budget {{formula:7024cffc-d640-4f1b-a21a-3abe34014840}} and also compare them with the corresponding non-private algorithms UCB-VI {{cite:03d3eb7c8669d0758374a88f3980d38636622160}} and OPPO {{cite:68d7d36a578eb561f0f6d8463cfb8f66c4a60720}}, res... | r | e7c8f489f0440fc918e782e0cb7eb040 |
The comparisons in this paper are made without consideration of the
solar cycle, although the outer heliosheath regions respond to the
variations in the solar wind dynamic pressure and magnetic field that
characterize the solar activity cycle
{{cite:2a84ac326d0e73b25b3013655b66ec2397dd9d55}}, {{cite:6f3966625b794daa4eb... | d | 2f3bf3cc2b55e5c8cd7724dcafe30736 |
Toeplitz methods: Toeplitz methods {{cite:6ad23cfc99c74c3f5f879b45b5bf6888aabc19b6}} work for stationary GPs with equally spaced design points. These methods leverage the Toeplitz structure of the covariance matrices under this setting. To make a prediction in terms of solving (REF ) and (), there are two approaches. T... | m | f3c27f1bfd1e7af0e758d53146c1aae0 |
A new coronavirus designated Covid-19 {{cite:135775482076a2783e98a49eeeae40a348fb3c6d}} was first identified in Wuhan, the capital of China's Hubei province. It has been reported that people started developing pneumonia {{cite:1a1124ecf7691a03b33668a6fe2fde6f01057be9}} without a clear cause and for which existing vacci... | i | 20fdfd2787d3b3d6779ef43a52fa23be |
Another area where quandles find applications is the theory of the set-theoretical Yang-Baxter equation. The Yang-Baxter equation first appeared in theoretical physics and statistical
mechanics in the works of Yang {{cite:29d4718f36e55d0153949c7c5b70db6fa3ae8877}} and Baxter {{cite:94ab67b2ba4cb3c80fbecd97a2fe354c2f04a... | i | d26aa117661134fd1894294e356cacfd |
Designing machine learning models ({{formula:3b33fc4c-94de-4b65-b2c8-23f18df0a742}} ) that maximize data efficiency is critical to the success of solving real-world tasks. Indeed, breakthroughs in machine learning are often driven by novel architectures such as LeNet {{cite:dcbce7a5d502e5c0dab8c9e882c2739791428bea}}, A... | i | c661aaa29424aab8153c48c91053dee2 |
What is the evidence for the supersolidity?
The direct evidence of supersolidity is the observation of
a Nambu-Goldstone mode {{cite:444f62881e0ab71e672ddd4878ccb88ac0de2332}}, {{cite:7dcf8b2a7ea60fe97e88773a566fd27da12d51b3}}, {{cite:0051532cd7f2b45a0254b1fb6b0c31851d044b86}} due to SSB of the global phase as was conf... | d | a839f7816cc59eb72769251e737292b4 |
After training the various Places-CNNs, we used the final output layer of each network to classify the test set images of Places205 and SUN205 (see {{cite:0814ae654a2abbe76ad9ee31a75ed33c20abfb9e}}). The classification results for Top-1 accuracy and Top-5 accuracy are listed in Table REF . As a baseline comparison, we ... | r | 41dc83c70cecb5e48171bcc9471ac2fa |
Temporal Coherence. We would like to ensure that the generated videos are temporally coherent. That is, a smooth and non-jittery motion is generated. To this end, we apply a temporal regularization on the generated keypoints and minimize the distance between keypoints in adjacent frames:
Ltmp =
i=0NA - 1 ka,i - ka,i... | m | 3b7bfd737305ed1c9f35df498c65a8ff |
Let {{formula:186b8ac2-828f-48ad-841d-8cb44a60677c}} be a compact (closed and connected) Riemann surface {{formula:44c0eb00-c8ab-4160-a5ec-8abd86836df5}} of genus {{formula:8740e167-384a-4138-a7e6-b1a2fee00bf0}} . Higgs bundles over {{formula:5b3ea3ed-f957-4743-9334-4fdcc5dbb92e}} were introduced by Hitchin in {{cit... | i | 0b4042279036eb0a26860e881ca011e0 |
Proof: According to {{cite:52e8be8bb2ebdbd09f1b34b55fc2e79a1eb901d4}}, if the
Hessian matrix of a function is semi-negative definite, that function
is concave. In particular, we derive the Hessian matrix of the exp-sum-log
function {{formula:5ce14bb5-f8dc-46a3-b4ff-581a1847e842}}
as
{{formula:08b56880-6722-4f2b-b4aa-7... | m | 2d306a6f24118253419f101e571ab17d |
Despite the above advances, to the best of our knowledge, few frameworks exist for privacy-preserving incremental training of end-to-end automatic speech recognition models. Prior work on federated learning for speech-based tasks {{cite:937bc808defc0981314ba640b44917c343c3174d}}, {{cite:fd28d13298e3b6cd2c06c5f2bd13331d... | i | dd29e1c6b05129ba3b39f762f52ccf3c |
The baseline method is an improved version of BottleNet++ {{cite:20ea91f4ed57c0e5cc49ba692c500422aef99532}}, which can compress and transmit feature of the deep model over digital channel. In order to fit this model into the digital channel, the quantization step is placed at the end of the encoder. Since the output is... | m | 978be3477057b198daf12fb08f4f6f12 |
Example 4.3 (hydrogen oxidation reaction)
In this example, we consider a model for hydrogen oxidation reaction where six species H2 (hydrogen), O2 (oxygen), H2O (water), H, O, OH (radicals) are involved in six steps in a closed system under constant volume and temperature {{cite:bcf5a2ba40511501754fae7ce6a9bd8f51000e2... | r | 5ea8b103d16ac7fb5518ce54eb5f4f13 |
With the introduction of the renewal process for the background
seismicity, the main-shock rate depends on the lapsed time since the
previous main-shock which is not observable. This makes likelihood
evaluation challenging. However, using a recursive algorithm motivated
by that of {{cite:8916adf47c89ef3d9d25f00295c2b12... | i | 6ad3002cdc0a290766678101362e17f1 |
Despite this progress, the linearly stable nature of the typical mean velocity in wall-bounded turbulent flows implies that solely the linearised Navier-Stokes equations are not able to describe sustaining velocity fluctuations. Therefore, some minimal amount of nonlinearity must be retained in the mathematical descrip... | i | 798862789fb48f4cdcf86f7326d8d816 |
To examine the behaviors of our model on the evolutions of the universe, we fit the models with the combination of
the CMB and Hubble constant data sets. The CMB data include temperature
and polarization angular power spectra from Planck 2018 with TT, TE, EE, low-{{formula:a313b003-bfa1-470b-aaac-984334855ea1}} polari... | r | d8297c143070c9867765f855b082e3b6 |
Fourth, the approach of {{cite:95f841bf42d674a2ace99c8b2574e198e4e37b27}} is corrected in Section REF and REF .
Assuming that expansion constants and aspect ratio of a reference set {{formula:9d1cc141-c921-408a-bcef-58e0bd0f88d0}} are fixed, Corollary REF and Corollary REF rigorously show that the time complexities... | d | 45c2cebffec14619b0e6c57171d4c74e |
Let {{formula:7fb996b2-8ded-402b-accb-75335d9c8042}} be a division ring with center {{formula:e225db33-3333-43cd-8058-2ebb3bdfbb19}} and {{formula:0f8393c9-8a5e-4529-9188-e35255401280}} be the multiplicative group of {{formula:6d761af3-6700-4f23-b10f-1c7ce552b912}} . The subgroup structure of {{formula:b2f33ed8-0198... | i | 9aa4e85474b16d976b456cd845ec45a9 |
In this work, we have demonstrated a blinking-free source of polarization-entangled photon pairs, based on a GaAs quantum dot operated at a temperature of at least 20K. The intrinsically low fine structure splitting, owing to the local Al droplet etching technique{{cite:dd2a492ee7e3d03d437f673fcc5ce6fd1a830b00}}, toget... | d | 343559979de48cf38686852258af226f |
The main contributions of this work are: 1) we introduce OP as a way of solving the zero-shot coordination problem, 2) we show that OP is the highest payoff meta-equilibrium for the zero-shot coordination problem, 3) we show how to implement OP using deep reinforcement learning (deep RL) based methods, and 4) we evalua... | i | a20d6eec9e817957d5321ce2cc384bc4 |
One has a similar identification for {{formula:5b3aea7c-9f0f-4e21-b0d3-c4e4507edabb}} . These groups are in turn linked via the Tate spectral sequence {{cite:8f776dcf6af4d3129621c4ec25535c257deb4b80}}
{{formula:0cd0f891-e161-478e-bf0b-de487101463a}}
| r | e0c09005681817a9c980dfcc09dbd36a |
Our results appear consistent with the anti-correlation observed between the dark matter densities and pericenter radii of bright MW dwarfs reported by {{cite:f008d5589e80c3799f106c037ca55ce854a82430}}. In their work, the authors found that dwarf galaxies closer to the center of the MW tend to be hosted by denser CDM s... | d | 44f2cff90b561f483b230f5fb5a389b9 |
Quantum chromodynamics (QCD) is believed to be the basic theory of the strong interaction. However, the strong interaction is non-perturbative at low energy scale. Thus many phenomena such as hadron and glueball spectra, chiral phase transition and confinement-deconfinement phase transition, the equation of state (EoS)... | i | f9251f6e68e74f954b8799152ecf6aae |
Visual Genome: Table REF shows that GPS-Net outperforms all state-of-the-arts methods on various metrics. Specifically, GPS-Net outperforms one very recent one-stage model, named KERN {{cite:fd7550adc8832d4bc1013b10d75b68b3c0b98542}}, by 1.8{{formula:bc11e46c-769f-49c5-abd3-d0723e5cb652}} on average at R@50 and R@100... | m | 4336c5b589b56be9e1f9ced945d6a6d4 |
As for the remaining models, we show that while our approach performs worst than the best one from the MVTec paper, represented by the student-teacher architecture (7.8% AUROC score difference), it outperforms every other method by a margin going from 1% to 37%. One important aspect to notice is that the two top-perfor... | r | 73352c7f34f72de7a816a7e6e0510082 |
Chordal graphs are graphs in which every cycle with a length of at least four has a chord. Gavril {{cite:891e0cc16ca36b7b8a4ca800fd829068f611b320}} proved that chordal graphs are the intersection graphs of a family of subtrees in a clique tree. A tree {{formula:d4acb260-19a8-4550-95c4-8ed50555b9c7}} is a clique tree f... | i | 42642da61339903f871d36271df14782 |
We include the effect of stellar winds, tides and mass exchange on the rotational velocity of the
secondary star {{cite:7f70f62ba659966cee1671c3527d011e94f339a3}}. The internal rotational profile
of the secondary star is approximated to be rigid rotation, which is a reasonable approximation for the secondary
star resid... | m | 293df1984b75194ad539624b5eea4bc8 |
Theoretically, several works had been carried out to interpret the MEs
features of n-type cuprates. Adopting the single band description with experimentally fitted parameters, Krüger et al. claimed that the fermiology random
phase approximation (RPA) approach with a momentum independent (or weakly
dependent) Coulomb re... | i | 1b8b61b011a1058b43ff10c7a0576dec |
NC neutrino interactions are of particular importance to {{formula:7a7e20dd-43f2-4725-a9d1-b24ee2e3bd99}} and measurements in the energy range of a few hundred MeV. This is especially true for detectors that cannot perfectly differentiate between photon- and electron-induced electromagnetic showers, and therefore whe... | i | bdbd8c3cc2e158e9826ac64331f3c397 |
The important thing to be observed in the above table is that the components of {{formula:539da0ef-b598-4ceb-8eb5-270e2ae1f722}} are such that the boost weights relative to the null vectors {{formula:065ca2cc-1111-473d-b7a6-0f202a54c97a}} are always equal to the boost weights relative to {{formula:06451e9d-2343-4103-... | m | e6fb433a2a6a7988d56ee8a9e1dd348a |
Water is one of the most important substances on Earth. It is a key player in a vast variety of biological, geological, environmental, engineering, and technological processes. The majority of interpretations of the experimentally observable properties of liquid water have been possible through modelling. Various model... | i | 4a34669a3fee98d7e468c3b3a5a0f957 |
General Relativity (GR) has passed many observational tests from weak-gravity regime to strong-gravity regime {{cite:ad8a0ce8424868567ff474d0d34aba10772cb7f8}}, {{cite:e67cac68230a636cae7ce2542f493b7b79b63335}}. However, GR
with a Universe containing baryonic matter and radiation can not explain some cosmological obser... | i | 4a79ab35c7905801181d074860e307e7 |
The results presented in this section were obtained from a standard di-jet sample in Pb+Pb collisions generated with Jewel-2.3.0code publicly available from jewel.hepforge.org using the proton PDF set Cteq6LL {{cite:95011a643e5920b86f92609f6bf4d040a036bf26}} and the Eps09 {{cite:3bd73fa2bc43c450fa9d44b9943f2945ae753dcc... | r | bb549a8efea32a797a8966257e9c4f97 |
Quantum nonlocality has been significantly generalized by considering complex causal structures beyond the standard LHV models {{cite:ff628598edabac253d7e19fbba0ee899a8d18263}}, {{cite:260d841f4c13f22f6f90f6fe8adb9f5b042e3d35}}, {{cite:bebfc17b2ee033d3a288bd39b7e2c6cf24723966}}, {{cite:955df1fe2f1ecf8bb7703745c20be70cf... | i | 788fed571ba0b43a279cf5c18b1e0ca9 |
Cooperative multi-agent reinforcement learning (MARL) is a promising approach to a variety of real-world applications, such as sensor networks {{cite:da41ac4d7d8570f46bb1b3c001dfdfbb8d65e9c3}}, traffic light control {{cite:2879f25b956a2ff905a301166384c65e53ed2064}}, and multi-robot formation {{cite:c26a2f75955a4e2e3c5b... | i | d3abe762b5f1c078036da351a398d2e9 |
We can attempt to constrain the magnetic field strength by the polarization and Zeeman splitting of the absorption lines in GRB optical afterglows. {{cite:17edce378acd56355f87d9714a462034fd6e5a63}} performed some numerical simulations to identify the amplified magnetic field behind the relativistic shocks. In such case... | d | b2235430057c81bca2935d6df8d45f69 |
The outer parts of the accretion disk of supermassive black holes (SMBHs) in active galactic nuclei
(AGNs) host many poorly understood, complicated processes. Star formation is unavoidable in these
regions because of
self-gravity {{cite:6b3906dd0e969498912e1c79c7a137b009f4dee7}}, {{cite:e0e73dafd76fdc8486a0838de90d35c4... | i | 6e73a71b6cc5e6c8c6b3341407028840 |
see {{cite:48f5a3b411ee5089c31996516de90f8dee4b5b62}}, {{cite:b10fe836a124a29c958e74bfb3506aaeaad2e964}}.
Hundreds of papers are devoted to the generalizations of the Selberg
integral formula and its applications, see for example {{cite:b10fe836a124a29c958e74bfb3506aaeaad2e964}}, {{cite:d1299b9051ea6e86fdd3ed411f177aed... | i | 3ca17bf470d5501365915f16c48f9a8b |
We also see implications for quantum black hole physics. When a black hole forms, imploding matter gets compressed against the past event horizon, as seen by a distant observer at later times. Similarly, outgoing Hawking particles line up along the future event horizon, ready to spring to life much later. When matter r... | d | 6145b01860e19123c3ca231f0d44214e |
The field {{formula:378572f1-b84b-44d0-8a74-82e86e5ad391}} plays a distinguished role in defining the state of quantum fields. The structure of the counterterms suggests the simplest form of the classical action for this field. Its Lagrangian density reads {{cite:c4531bd5601aaa5b4294e593d1073feec271a3db}}, {{cite:3ee5... | r | e33231c804e96b4afcbd1c73bab1b295 |
In particular, Guo et al. {{cite:a8f164d062dca05b3dfbe9054e7d11091a12bda2}} design a training curriculum based on complexity clusters. The authors show that most examples with noisy labels get assigned to clusters with higher complexities and hence, only influence the training process at later stages, at which the mode... | m | 8f5f3c49443c94f06da7f916ee9db603 |
Previous research has been largely focused purely on improving calibration and accuracy using label smoothing techniques and primarily uses one-hot encoded labels to do so.
However, the existing literature has disregarded the vast amount of information that lies in example difficulty, which could potentially be useful ... | d | fe25a591071b76fd8fa8db3137bd1980 |
The simplest and most common Bell inequality is the Clauser-Horne-Shimony-Holt (CHSH) inequality {{cite:66fc0a1fbf727dd7ba4b7583c1fd6f5febdda39b}}. It applies to the scenario where two parties – Alice and Bob – share a state and perform each one out of two dichotomic (with two-outcomes) measurements. The experiment is ... | i | d1ab2ddd8f7fe31c4ec6b4e48d020bf4 |
This opens up a conceptual framework that is attractive in its own right and so deserves more systematic study: the vision that high-energy supersymmetry survives at low energies dominantly in the (possibly complicated) gravity sector despite supersymmetry being badly broken for all of the ordinary particles described ... | r | c50c6a91b7bd6862d1eddd357a2ec8cd |
We introduce a new signal (i.e., collaborative information) to support the training procedure of automated image understanding processes.
We propose a general multitask-learning (MTL) {{cite:565b7199c5a81d0425a9b9f327f8b4222b473108}} framework to incorporate collaborative information in the form of latent item repres... | i | b14c4afa6d58be042c8d1fbbc4078c05 |
The problem of removing malicious nodes from networks has long been of considerable importance, and it
has attracted a great deal of recent attention. In social networks, accounts occupied by malicious parties spread toxic information (e.g., hate speech, fake news, and spam), stirring up controversy and manipulating po... | i | 90ac9b30f694f5e191bd1e53aceda5ba |
While the numerical evaluations presented in {{cite:60bb69197bd987af721eaf1cef0ed59ccc28fe18}}, {{cite:d77f19f43a084941449ce20aac092ae652784e0a}}, {{cite:3dac1e0621c1c20ce765dadc624655ffe27e8b22}}, {{cite:e327fcd3bc0a8bf1aa18695dd9b228ac42943efb}}, {{cite:42181b50fc20f32ea0b5812a02caa68d9d914c22}}, {{cite:961d809411164... | r | 63189213188557c9cf106f81ecae94d0 |
Artificial Intelligence is intelligence demonstrated by machines, as opposed
to natural intelligence displayed by animals including humans. Leading Artificial
Intelligence textbooks define the field as the study of artificial intelligent
systems that are understood as systems perceiving their environment and taking
dec... | i | 74570aedd78ce805856e8dea5e419e43 |
which is valid to first order in {{formula:9155805e-8776-4132-b0fe-54cf60daa433}} . (Note that the term {{formula:7f5ae10a-9a19-4821-bba5-d415135279ed}} is negative.) It is easy to see that when one imposes the fact that the first order perturbations are of the “first order” themselves, it is not possible to make {{fo... | m | f4832b3ab7bbe45f3ee0a074603c0764 |
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