text stringlengths 54 548k | label stringclasses 4
values | id_ stringlengths 32 32 |
|---|---|---|
where we used Leibniz's formula twice as in (REF ) in the second but last line. Again Faà di Bruno's formula, cf. (REF ), is applied in order to estimate the derivatives in (REF ). We use a special case of the multiplier result from {{cite:b8b272d24ded7c4a18c4383c9ac877e65038026e}},
which tells us that for {{formula:e... | r | 09ab302664a47181866cb87edc4d6188 |
There are several state-of-the-art methods similar to the one proposed in this article as they use multiple attributes describing the aesthetic or artistic aspect of a photo for aesthetic evaluation {{cite:efceff584ef7ad5f85a95bf3b95d62f7d445364e}}, {{cite:60311c86d504423871da0024cdab611d90bd8b97}}, {{cite:a73b1e01b822... | m | 2751637f99866254aebe11919e912651 |
so that Equation REF holds under appropriate assumptions on the set {{formula:2e092fa0-6582-48cf-a130-530269fd4272}} . Equation REF is analogous to the propensity score from the causal inference literature ({{cite:1e27d6d9cfbc9a533ce6d85eae3a9851f6c1ba50}}) and Equation REF would correspond to the weights for the a... | m | f321aaee0a1241592f76df7b5268b679 |
On the other hand, to fully explore the ultimate capacity of MIMO systems, the concept of continuous-aperture MIMO (CAP-MIMO) was proposed {{cite:5f7cef794db898aba05ee35d3a743398571884be}}, which is also called holographic MIMO {{cite:fc35677172b11fc60f84c264f9e830df2641288a}}, {{cite:452a682a3eded4f2da2bd996066ed1254f... | i | 2c789326bdb77d0611bf94e511742bba |
For the di-{{formula:483bd815-59ac-409b-a771-0774a5af93c6}} spectrum in its production at LHC, the experimental information is still lacking. We thus adopt the similar production relation as in the di-{{formula:b6f5b9ea-e85d-4e1b-80cb-54c12300aee5}} production {{cite:d2e3c7bc43c3ea744cdad6e258af77f89c9c3489}} to inve... | r | fa68e79347d88091e95088b3c0d953a2 |
However, several approaches have been proposed to investigate how to improve the accuracy of approximation. For example, in
the framework of numerical integration, we refer the reader to {{cite:15c80d3beb24ea93e4265fe2d6dfd330723d6872}}, {{cite:11e705648f4ed93ccf3eda71a1dd8c45e1187c83}} or {{cite:e6162e1a97919c6de67d66... | i | 7bd0983dcb7e105f19446ae411692ff0 |
According to {{cite:a735dcaabc7f3c545d3ee3f7512728436e8f3681}} (see also {{cite:9cad80144b7973c1132d9ba3d7648e3d303983ad}}), if {{formula:b83fe47f-5ef5-4385-8b56-2c537b50df7b}} is an {{formula:2df7c822-3e2a-40dd-97d9-f302b22d1793}} -valued Calderón–Zygmund operator on {{formula:b6f55547-6e33-42eb-8f9a-7dd9aafe06e5}} ,... | m | a0e408177518e7d57058d11c8f535a8c |
Meta-learning. Meta-learning is also known as learning-to-learn, which trains a meta-model over a wide variety of learning tasks {{cite:aa7dfa2d5fe4f38c9e6ef1598fd1a819f238d484}}, {{cite:d5c44e6c54d6ffd892cd79d879941ab43a97f097}}, {{cite:a5495ef890a55fb2a48c270e375d6de30e436627}}, {{cite:5c0d7c6238cbc8e3916c7805fd9404f... | d | 1283039c19c517b853031d5a4df30365 |
Next, motivated by island models, we considered two regular graphs with the same total number of edges
and we showed that the corresponding fixation probabilities are asymptotically different.
In particular, as the population size {{formula:461710e4-cbf1-4a2e-aad0-5be426a0adaf}} increases, the fixation probabilities d... | d | 64758466e0a312783971fa68bbf0a98c |
In this experiment, we study the performance of spectral clustering for image segmentation when using different numbers of eigenvectors.
We consider the Berkeley Segmentation Data Set (BSDS) {{cite:d4914d28c215b2d2d6c4bc729f885ed48188fce0}}, which consists of 500 images along with their ground-truth segmentations.
For ... | r | 74483e38054d4b98c18d4de80ac0c8db |
The purpose of this work is to present some progress on these two questions for various choices of potentials in (REF ). In the first part of this work, we focus on potentials with a finite number of terms, and for various examples we find a closed expression for the planar free energy {{formula:84a99e0c-9d00-4b17-8618... | i | a9363054cf19d33a2effc6f73010502c |
Patch attacks against road signs are less effective than previously believed. From tab:synvsrealavgmain, a 10”{{formula:cc675e3b-1dd7-411c-9121-3cdf3d7c2258}} 10” adversarial patch only succeeds for about 18% and 25% of the signs (between the two models) on our realistic benchmark.
Even though we use undefended models ... | r | 7180eef9c6a243688bdd99500776b6a0 |
Let {{formula:af4b568a-a87b-407e-9e94-9267f4d8333c}} be a maximal normal subgroup of {{formula:52cfb29b-9a34-4f77-a932-745e6f29dbab}} . Since {{formula:984f43ce-9cf1-49ab-ab6c-4e3dea50a638}} , we see that {{formula:36da9918-68a7-484d-a9bc-4e94b1a12872}} is perfect by our earlier remark. Then {{formula:aef5f7dc-fd59-4... | r | c843458886ec876dade4c11eca54842c |
Currently, one of the scientific directions of nonlinear dynamics, fractional
dynamics, has received wide development {{cite:06ed8218f8e1dd6e47dc452d281245fca980f221}}. She studies the hereditarity
properties of dynamical systems. Hereditarity (memory) is a property of a dynamic system in which its current state depend... | i | 73fa63de19c2153a4d1713bdcf224383 |
To perform this work, we focus on the quasi2D case where high resolution
experimental imaging is possible {{cite:aa2c1182ec1e4d719a84b099e17e328229286fe9}}, {{cite:7c38dc24e7d56323c1b3b6856d141c1b9929c9d5}}.
For clarity, we will focus on two examples: one is miscible and
the other immiscible, both far away from the tra... | m | cda2acbfe01c8b0cf73936a0986a1f14 |
In our spectral analysis, we can estimate the inner radius of the accretion disk (R{{formula:84406d0d-cfcc-4b62-b29c-c5ab2ff47ac2}} ) in two different ways. The relxilllpCp model directly provides R{{formula:55b0f24b-25d3-4b9f-a069-2707e2955a6c}} , which is found to be 14.78{{formula:2ae695a8-8654-498e-8b0c-97d6095d07f... | d | 9b2320d16d1a479c912638684d537a3c |
One-shot approaches stand for communication-efficient schemes where workers and master only exchange information at the very beginning and the end of the sampling task; similarly to MapReduce schemes {{cite:3c9470b135f2aa732e9babb90443fafae85ce02a}}.
Most of these methods assume that the posterior density factorises in... | m | 893b6a64fc8855a54bd3c75c99731955 |
In this section, we show the number of operators and quantitative results at each level, for objects shown in Fig. REF , which are samples of the ECSSD database {{cite:38a9d1b70818176630cee705bdfd17ac5f993621}}.
To show the efficiency of our method, in table REF we show the number of operators for a single color chann... | r | 2538ac32964e83fdc89d219fb6d53ead |
CycleGAN {{cite:9b3b28e543b40856a44695d27fe500120c313a1d}} and UNIT {{cite:ffc92e445281a5702f502a65d2cf2c75e3469bdd}} are the typical unsupervised I2I translation methods.
MUNIT {{cite:3ed8ca915945d716989d2e89571d2d2f280955d2}} and DRIT {{cite:9b3ddd5aa63a7f4eea0021c52ed9b2d2f977f1a7}} are the multi-modal unsupervis... | m | 1064a8e66b8b6a69583f91b2a59a3ef9 |
We again note that the certified and clean accuracies of our networks are comparable to other (norm-based) certified training works {{cite:558aaaf262f9913898c1a909e57803d6c21de133}}.
| r | 9f6a78976be65fc7f955d16199a2c0d5 |
Also this kind of massive theory are helpful to understand many planar condensed matter phenomena. As pure CS theory is anyonic in nature, it is very useful to describe phenomena like fractional quantum hall effect and high {{formula:9303cccc-d15f-413c-ac95-f90fc6a3938c}} superconductivity {{cite:18c2563f9ceb62c264300... | i | e2575e53a8826497929e0e481a4bc863 |
The final product of OHN model is the spherically symmetric ultra-compact horizonless object composed of homogeneously
distributed matter with infinitesimally thin crust. The equation of state of the homogeneous matter is {{formula:0d8f29c9-0df8-4266-a2dc-0f3bfcaeff01}} , where {{formula:133efde2-8309-4352-aef8-8e35440... | i | 7622b7485db6595450eb6df6efd62673 |
In {{cite:59ba93b55074c172de3a27004d76431d6d4a2143}}, the binary vector has been adopted as the architecture parameter. However, state-of-the-art architecture search spaces, such as {{cite:b9b60e3405788fccbabd05da897748853da56570}}, {{cite:3f71d55fedf61832070c3d643f6ba81566a0b631}}, are defined using categorical variab... | m | ddf50297e848b051067412addd7ca6fb |
So, we face with a choice what the symmetry we want to preserve on a quantum level. Whatever the case, the dependence of the effective action on the Killing vector cannot be completely removed. The imaginary part of the effective action, which is responsible for the Hawking particle production {{cite:8849c7572010dacd3d... | r | 841b545e2d45ab49c2b08ed2ae12bb6c |
Comparison with metric learning. Table III shows a comparison of the LOVO loss and other metric learning methods {{cite:c06da6a1e1541e3fded27f800394c7bcf42846cc}}, {{cite:43d81e1434a131825873b685ef7038cc181820b5}}, {{cite:8f37db8b66ba0e9873885fd70d40c8446058630b}}, {{cite:a2f045540474f608aed875277a7b7d543adf844c}}, {{c... | d | a57b1b42e598a1f1fb4e103c57cbd474 |
The position of the highest particle {{formula:8d9fe5df-e94f-40b2-882e-fddab4142d1f}} has been the subject of intense studies since McKean {{cite:9b64fbaaea1737dfa3f1e4ec518d48707ff14819}} who linked the distribution function of {{formula:7b1a419a-37a7-4e05-8d33-eccf5df0b599}} with the F-KPP partial differential equa... | r | a2da2702f2b72244329b69abb1bddc99 |
But surprisingly above 10 a.u. of heliocentric distance the
systematical deviation of experimental and theoretical data was
found {{cite:e8d47c91f6ca0f994ba1bf20606ed9f30bb3c35d}}. This deviation can be described simply as a constant
acceleration towards the Sun with magnitude of about
{{formula:9a0cca1e-f4dc-422c-9a87... | i | 23a66ab1838f46a55864a64ebf3d1d32 |
Twelve Regge trajectories are constructed by fitting three states and four Regge trajectories are obtained by fitting more than three states among sixteen possible convex Regge trajectories. Same as the example discussed in REF , twelve Regge trajectories obtained by fitting three states maybe arise from the insufficie... | d | 3ac0cc8efa1f8225d44526d73ad8df65 |
In fact, the perspective of inexact Newton procedure may provide potential inspirations for developing more efficient sub-sampled Newton methods. For example, {{cite:d7b54813e58503a7e49c7a870abec9e7fbb3ccc6}} proposed use to conjugate method to solve {{formula:7583d279-3e34-477d-b75f-5eef98e82d5a}} approximately, wher... | d | 7de59fbd703eadb0d7cb0c0901eb8e8f |
While our results are encouraging, we believe that significant improvements in learning can be achieved through improved network architecture and increased depth. As was demonstrated in {{cite:477f6788d4fa9d49b1c2045737924eeea2822c7c}}, network architecture has a significant impact on the performance of deep networks. ... | r | 237eabeaa80d50a9b84e879fd0b5e3bf |
An alternative determination of the LO-HVP contribution stems from an ab-initio calculation in lattice QCD {{cite:a364d93874f7bf308f81208df575caf4efdaf862}}.
The latest result from the Budapest-Marseille-Wuppertal (BMW) collaboration {{formula:8a60c11f-a3e6-4dac-9830-45ec11a60e4b}} {{cite:144b4543cfe3e80ebf7b678f79534... | i | bb5c8e43d5aae77c1e3b9fc3c98a8650 |
The introduction of stochastic modeling principles for geophysical flows has been a focus of great attention in climate study, meteorology and oceanography since the seminal works of {{cite:a67484ad3d21cd1e4b417c05f467d31065c1aa92}} and {{cite:5b66dc49b375f04bda77838fe60c8c31fb523fa5}}. Most of the schemes proposed so ... | i | 9bb8ae594cc36cd9e09f0e54902b5e87 |
Overview.
In this section, a novel multi-modal video summarization method is described in detail. The proposed method is composed of a contextualized video summary controller, a textual attention mechanism, a visual attention mechanism, an interactive attention network, and a video summary generator. The flowchart of t... | m | 5cc8cd5054f6770ccb983dd73e8a227c |
Inferring the location and properties of underlying latent events is often of scientific interest.
However, this can be challenging from a statistical perspective, since neither the number of latent events nor their locations are known.
Traditionally, inference and estimation in NSP has been approached with RJMCMC algo... | i | 0e78ee6dfc2349491c7780057f16ade7 |
This section describes
the proposed unified generative and discriminative approach to ACE
(Fig. REF ).
To tackle the frame-level ACE (Section REF ),
we formulate a probabilistic model {{formula:f5ca4927-007b-49a3-97bc-e05f8558add6}} representing
the generative process of chroma vectors from chord labels and latent fea... | m | c083c93f215f840c315bd2792096ff1d |
Motivated by this example and returning to the abstract setting, we equipp {{formula:88940b99-cd9a-423d-ac39-cc83b22c9fef}} with an abstract Banach norm {{formula:9ae41164-f463-467e-ad2b-724b2c16990f}} , the space {{formula:8eb81bbd-d043-471b-b834-538c5a846e8c}} with the graph norm of {{formula:2f539177-cf2c-4adc-bcd... | r | 254930d97493334e22bf89d29b1f1e93 |
Extensive experiments with models of up to 110B parameters demonstrate large performance gains over standard data and model parallel training strategies. Our approach also matches or exceeds the efficiency and performance of previous sparse expert approaches {{cite:a3aa38b83990b6a94489266d3208580aff9873a8}}, {{cite:1b2... | i | c8157f04391a6bb03cc9871762d8b920 |
To demonstrate the effectiveness of our model, we compare our segmentation results with the state-of-the-arts (SOTAs) methods on three referring segmentation benchmarks utilizing relevance filtering as the localization module, as shown in Tab. REF . It can be seen that our model achieves the best performances under IoU... | r | 94e87ec9f60b4b918ff7b7f528fd82f2 |
Table REF summarizes the results of our case study.
For the accuracy results, statistical significance is determined with the Wilcoxon rank-sum test {{cite:8002497cd78474155050e5cb8a75aaba74a083d2}} due to non-normality.
For the efficiency results, statistical significance is determined with an independent two-sample ... | r | 61849f0896750c423dae3e76ad0c69cc |
Another unavoidable error contributor is the noise appearing due to the low level of detected intensity. WVA is performed at near orthogonal pre and post-selection configuration which reduces the intensity of the post-selected beam significantly {{cite:175f9ee3b56bddc3e1771bcd4c8e0608e27060f8}}, {{cite:d6ff6dd1fdef7a3a... | r | e0a0f60bd49a54f08602cfb56acb653f |
{{formula:2f49cf9a-0579-4e8f-8a8f-0af7c363c3f0}} -LaYH{{formula:b0dbcd3e-2753-4430-af97-0bf3be2275c9}}
can be regarded as a
compound based on
the {{formula:0c878857-6f06-47f2-808b-ef2aff607b40}} -YH{{formula:90831901-8fae-4ca4-8f83-c3a72786872a}} dimer
with La substituting for one Y
(Fig. REF ).
The {{formula:5e63fd... | d | fe3bce45f5fd2035bf8d0dabe35bb0c1 |
There is strong evidence for dark matter (DM) comprising approximately
85 % of the matter in the universe {{cite:b02d1857d355f75704bdac70853bc7f40dea2432}}, {{cite:a64b0bfc8bcec7358c38d68cae08d8ef7233a2ea}}.
One possibility is that the dark matter is a weakly interacting
massive particle (WIMP) {{cite:a985bd58bd7726596... | i | 649949de7f10fef5cd022af17fad5867 |
We shall argue that these features can be naturally unified within the framework of the Page curve and Page time {{cite:2f534c96cd1ca7e78fa81a1b2815500c4ab21ba6}}, {{cite:069ecd0891b9997c2f33f3fa1cc24edbd479d2db}} assuming the entanglement between the brain states and time series of neuron excitations.
| i | 0c4a2c3e41facc76739b94f1865c641a |
The neutrino is a fundamental particle and was first discovered in
1956 by Cowan and Reines {{cite:ee49b9c5510a2057bd8a3941cb57c93e433d0139}}{{formula:f6863ec3-2020-4e38-bd03-cf298ef8c068}}{{cite:f1f7bb65b26cfe941873d54c39e7a1508a747571}}. In the
last few decades, it has been proven that the observed neutrino
oscillati... | i | edaefef4f1f886f3ed73b3d7b21670e6 |
Lighting estimation has been investigated by direct generation of illumination maps {{cite:6df60d6eae730edb8ce4407902029e089aca766e}}, {{cite:d6a4e4fb530f89bd3734c224da40ec57f6168a3d}}, {{cite:9e4c2cd1e10dd696a35a291977c3705a57379624}} or regression of representation parameters, such as spherical harmonic parameters {{... | i | 2ce2ca3178f9552cb73bf82265c837a4 |
If {{formula:41b20552-64e7-440e-9bed-9169af020102}} are linearly independent, then there exists {{formula:b3507527-f8e2-4268-be9c-13b8b03ab538}} such that
{{formula:93b12d9e-5471-42dd-8eac-20c57cb422d4}}
where each {{formula:a698f3f0-fe3f-4d96-8f08-72e42d568278}} is a linear combination of the polynomials {{formula... | r | 2006ab174aec1e781f4dd16112b07055 |
In this section, we briefly discuss how to directly apply the results from {{cite:a6430efba53d4ba0f7b1f24a72f3e45c2339d493}}, {{cite:f5ca8d64fb9f964b4ae83c29d2c9de2198895ce8}} to obtain Theorem REF . First, we match our notation to those used in {{cite:f5ca8d64fb9f964b4ae83c29d2c9de2198895ce8}} and instantize the conve... | d | e37a9d89d6540ea8e08529c54fb865c6 |
Experimental implementation: Rydberg wire gates introduced above can be implemented in optical-tweezer atomic systems, which have been previously demonstrated elsewhere {{cite:11770925f9bf0bbc292e9d456ce415244771066d}}, {{cite:20880537668044d0f2a17549274ab5701cff17b1}}, {{cite:c21a3247b41885c4684bb843a9a8255fbf041b9c}}... | d | 7ca656aa26ae7e60ae2ce5786b05f677 |
Lemma 8 {{cite:f4dd03f18d9cce5b6dda77abff430e65309441b1}}
Let {{formula:50dd64bc-7101-4718-be34-57bf121ece7b}} and {{formula:f1be7a46-bb0c-40d9-8339-4138670eb9e3}} be two vertices of {{formula:0406ce03-ef86-4d25-81d2-630311eacfe6}} . Then
{{formula:e881780d-8446-49dc-899e-a448bec4f590}}
| r | f87eea36c5a995325a4289dcfbf9b6e7 |
Efficiency analysis. We also examine the computational complexity of GPR-GNNs compared to other baseline models. We report the empirical training time in Table REF . Compared to APPNP, we only need to learn {{formula:cf3669b7-0362-4e1a-a9d3-215b285a0081}} additional GPR weights for GPR-GNN, and usually {{formula:28ab... | r | f8f7dce27cf8c16e093b56aafd9833e6 |
Limitations.
The strength of our analysis is based on real world data during a massive surge in our facility where ventilator capacity reached fullness. There are several limitations to this study. First, the results cannot be applied to other disease states such as novel viruses that may arise in the future. The model... | d | fed8ae340c19d8e789fdc2a04b347d1e |
fig:overview-scenarios presents an overview of the papers. At the top, papers are represented as a UMAP {{cite:9177360a9f90ccad032c8daef9a41fa68dcaeaee}} 2D projection of their coding and colored by coded scenario. The UMAP projection reveals a clear split between two clusters. At the bottom, the average coding per sce... | r | c31fb8922629d4977e04d6ad78ed1924 |
Multi-orient Box Matching.
Compare to DETR {{cite:656f41e41409c119766a32707766d16d86279378}},
the difference is that we propose an angle prediction and corresponding loss while only horizontal boxes prediction for DETR. Let us denote the ground truth set of objects by {{formula:e7ae533b-a367-42b2-b01e-a8425f014a6f}} , ... | m | 1442df2afd18b902dc0e7bbed06dff8e |
We also provide a comparison of our frame-level detection performance with existing methods in the literature. As shown in Table REF , our proposed method with the BiTraP trajectory predictor outperforms using stacked LSTM as predictor as well as both previous reconstruction-based approaches, the Conv-AE {{cite:e061019... | r | 5721c742e37f792a98e44cec1639a664 |
In this paper, we presented efficient methods for Whittle–Matérn Gaussian priors in the context of Bayesian inverse problems. However, the techniques developed here may be of interest beyond inverse problems in fractional PDEs and Gaussian random fields. Several extensions of our work are possible. First, while we focu... | d | 4ba84a800135b30a1436bc9f18b80e4f |
To compare the results obtained by the original version of ML-Constructive {{cite:0aac7a0ad727f6983d34b9651b62ecbaa666787e}} and what it is proposed in this work, experiments were carried out on the same 54 instances selected by Mele et al.
{{cite:0aac7a0ad727f6983d34b9651b62ecbaa666787e}}
from the TSPLIB library {{cit... | r | bf35b9b646e53d6c76f255c933666a11 |
The forecasting of low-level representations like landmarks or facial action units has been recently tackled with deep learning methods such as recurrent neural networks, graph neural networks, and transformers. The usage of such deep and data-hungry models has been encouraged by the recent availability of large-scale ... | d | 06cab15671a715174f4ef9d8ab093a1d |
There are situations where we need both an explicit density and a flexible implicit sampler.
For sample evaluation, it is not enough to merely distinguish samples from real to faked one, and one may also expect to provide fine-grained evaluation on generated samples, where the energy values given by the explicit models... | i | 310117ac9d65189e97ab2ee61e9e31d7 |
Imputation settings. To investigate the impact of different imputation methods on prediction, we selected a wide range of methods based on their popularity in previous research. List of the selected methods and their description is provided in Appendix , Table REF . Mean, Median and FeedForward are selected from a sing... | r | 1caddeab62034100d5612c02ba7b4183 |
where {{formula:169af54e-f141-4d57-9c37-7d50da7556b0}} reads {{cite:c28ee1068f9c7c61e8d6ec0083e49a168a152df8}}
{{formula:f3b46d53-8672-4edb-9b43-0e4be8ebc74a}}
{{table:710d57b5-43d8-4288-8fce-0e3d050f3335}}{{table:702a5401-22dd-4d85-b1ad-1e103efe933f}}{{figure:aea1b531-cbd8-4e45-83f7-9373b4ac6cb5}} | r | 1b948cb45adfad9defada57582452ae0 |
Let us now consider the incorporation of a soluble and non-volatile cosolvent, i.e. glycerol, to the aqueous dispersion.
The drying process leads to a gel phase saturated by a binary mixture of water and glycerol.
This results in a combination of the pressure flow component (REF ) and a diffusion mechanism{{cite:a03e26... | d | 0031ca7327044beb00012928a3d8376d |
To see the effectiveness of RényiCL, we conduct additional experiments for fair comparison with other self-supervised methods.
MoCo v3 {{cite:28783f4fa348326aebd1cfcfebde1ee176fdc5d7}} is a state-of-the-art method in contrastive self-supervised learning. For fair comparison of RényiCL with MoCo v3, we apply harder data... | m | 9cf10b599ce83d52018e373e42791804 |
The proposed model is based on Federated Averaging (FedAvg) {{cite:9b65f5f2c71a20a636d8fdbac868aef1238392cc}}, which is one of the most widely used aggregation algorithms in FL {{cite:269211f3b2d68d5ee95a6b413f33e2c18df2e9a6}}. In FedAvg, participants receive the latest global model from the server, update the model us... | m | 0adefe8246de4b576a0e1d5e74e70ec0 |
Training loss:
Following previous works {{cite:66a7384e36487b3e68ada22d556b9f0d03986b75}}, {{cite:4d93a246d8b0b1eec16277242ba8c480d3ff53e2}}, we use a scaled version of scaled version of the Scale-Invariant loss (SILog) {{cite:dc4d317e72a5c1e0265e52136f6393c594e129bb}} to supervise our network. Given, the ground truth ... | m | 07c0dc4611dedab5ab0a6a39c3ed49ec |
Due to the intrinsic nature of the {{formula:27b28e53-8000-4a45-8af6-92c1bb5f6159}} -advection equation, mass conservation is not guaranteed {{cite:f4751d9c4e3456e2d9ff9ddd2166449b6f8e4fa1}} as the required numerical stability requirement of {{formula:f75becf0-c6eb-4664-b968-d81487963c81}} is not automatically fulfill... | m | fc19e0c23b4f467de0d35f82500ba6cf |
Our argument will be extended furthermore in several directions. One direction is to use this kind of singular but invertible transformation to find new modified gravity theories such as scalar-tensor theories.
Some of degenerate higher-order scalar-tensor theories (DHOST) theories {{cite:8b8244fe16b4687ef049a8714f43ce... | d | 65ba34eec0c42997c144534d23ab1b08 |
In the direction of Cygnus OB1, a gamma-ray source MGRO J2019{{formula:f70eb0a9-c44c-4a6d-b0a2-0687f48a0341}} 37 was discovered by Milagro at the median energy of 12 TeV with a source extension of {{formula:ad148445-4422-4af5-9f07-4c827d759d88}} {{cite:f79cd5e12e8403a08ecc11ce0c33be0a44ba6379}}, and this source was al... | i | 9a64e240cf370644cb549a4a2f793181 |
The question is how to incorporate such semantic information in VQA. Traditionally in linguistics, semantic information about a verb has been captured via so-called thematic or semantic roles {{cite:d54a0cce4cdf36cfa99ad05a5f66bba14e31a145}}, which may include roles like agent or patient as encoded in a resource such a... | i | e57019a304422a481e38adabbda04c05 |
A graph state vector
{{cite:62e11d0de1efc84e2a6cda54afe8f561d8ed5439}}
{{formula:b2aca097-fc74-4384-9a05-11650bd9e9d6}} is defined by {{formula:329dc01a-320a-4152-923d-ac25d2109b30}} qubits in
{{formula:092e4abf-7194-4b9c-b5af-75d372568c86}} entangled via {{formula:0a482b81-1a19-44b9-8474-78f63de8f69a}} gates for e... | m | 6d16b2cf67a7ca72d229d8fb72cc2ca8 |
tocsectionReferences
Appendix
Asymptotic Variance
To state the asymptotic properties of {{formula:9345278d-4844-4693-b650-ef9593d7fa95}} , let
{{formula:c6518457-6274-4a44-b64e-9adfbbe6aa14}} be the individual's contribution to the estimating equations for {{formula:18a7ab5b-687b-4ea0-b5cf-3e155c2aaad8}} ,
{{formula... | d | bd0f4f3d6187c36978154c747904907b |
For the baseline model {{cite:09975148cc9a41e7a796f23dca85f3b175833ade}}, we obtain an accuracy figure of 44.76 which is below the reported figure of 46.88. Use of bidirectional LSTM for the baseline model doesn't make a significant difference. We report the results on validation set from both this paper's evaluation s... | d | c6934a43f3bad600a95623708ce0fff7 |
L2 regularization {{cite:ebd8befa16e0503cf17a529f1cdc07d5a528fdb6}} is used to avoid over-fitting. The following objective functions {{formula:2e42e876-2f90-4133-8192-0859ece4de7a}} ({{formula:2da323d1-3bc6-468e-bdf5-c1ce8f458a81}} or {{formula:c37cb2ff-1150-4925-8c55-9b0f5f614d22}} ) is used by incorporating the L2 ... | m | 4664276e3db2bc01a49e7a94ddf8a880 |
Comparing speedups, our method obtains the greatest speedup of {{formula:34fad919-a7a6-41f7-9674-65e419213d14}} over the
autoregressive counterpart, with latency significantly reduced from {{formula:1209aeae-df39-4eb1-9e12-8afba9b70e31}} to only {{formula:0a3d8168-c21e-45f2-be3c-f6994e997e1c}} .
Previous works often ... | r | 72fc19489d495e3dccd2c81f26f40f8b |
AdS/BCFT {{cite:df75e089d53382d52c6c001a4536230179e3fb59}}, {{cite:5420ccccbf14b9c3df6adeee7d131be1720f07ab}}, {{cite:5edcdd223e9883de3590719aca83483c338e658c}} studies the gravity dual of boundary conformal field theory {{cite:f6a722906081cfff1da5183269a9de263a8bb911}}, {{cite:7698e60fd90262f12be9f989c615cb1a8e673068}... | i | b77f051acf2dc57c537e056b9c7bfb9f |
Factorization Machine (FM) {{cite:34359ebe949766210ae2849d8f496a15d0bc91f8}} is the state-of-the-art method in recommender systems. We compare with its higher-order extension {{cite:128582ddf8fbdf9ab7e824cd4313a218462bb558}} with up to second-order, and third-order feature interactions, and denote them as FM-2 and FM-3... | m | 8b77cd0b970f50d2458b9f45198ef105 |
Definition 4.1
Let {{formula:019c1423-c869-4a38-8b76-2f2f6e3f9f5c}} , {{formula:d601fec3-cdf2-4ad1-a9c8-b437f9140390}} , and {{formula:93c2272d-0d83-4cb7-8cf3-438bf069711b}} denote {{formula:67b318e0-c36a-4509-bd81-1828c6b290a6}} real positive variables. We state that a real function {{formula:8536df4e-cedc-4c1b-8cd... | r | d35001961a755068e893e850efe889e5 |
General relativity (GR) theory of Einstein, which is assumed to be the most interesting and simplest gravity theory,
obeys the conservation law of energy-momentum tensor.
Although, since its establishment researchers are looking for different gravity theories and several modified gravity theories
have been developed. I... | i | e6a5be6f98b29967717f2fe246a6916b |
Before we go to the detailed studies of the two schemes, we briefly summarize the present experimental information on the strange vector mesons. As listed by the Particle Data Group (PDG) {{cite:77af9d533c19501042036f238b0359ceff88eb61}}, two excited {{formula:0b574f31-2336-4b32-b5d5-aac739eeb1dc}} states are observed... | r | 0fb1561410710df549f819dd57da29f0 |
As the mitigation of the iism is an important consideration in pta gravitational-wave analysis, dm time series of pta pulsars are studied extensively {{cite:0bbcaa06d0d03521b1c70690852889c1b6fc8452}}, {{cite:cb86fe6739348d4661a8c0a39cdaa33b50c99930}}, {{cite:2bb7aaa038e270d227ab3d25fa6143b508576cbb}}, although these us... | r | 7e88b31478db4fcae55d1f5527f85f23 |
This is related to a more general neural network problem known as the stability-plasticity dilemma {{cite:d1b9838df814c88662ba35b42dfb508711d4ba21}}, where plasticity and stability refer to integrating new knowledge and retaining previous knowledge respectively. Such dilemma is at the heart of the research area of Cont... | i | f3b9d497bffae34aa9313dd7092f4a3a |
Bilevel optimization is attracting more and more attention in the machine learning community thanks to its wide range of applications. Typical examples are hyperparameters selection {{cite:cbc952e6c5644d359a3ff81348e5bdfa346eda37}}, {{cite:9ef52c9dc6721db6bfd55838c3fd7597067d7614}}, {{cite:b844d367bf15995f09671663e2fb8... | i | 65dcec417872e7656e63965c0a8b178f |
Stochastic control problems with terminal constraints have been extensively studied in the literature. Optimal control problems under stochastic target constraints have been studied in Bouchard, Elie and Imbert {{cite:97cdf6ec8d97741927a9cc4aa69d06342daf2c54}} using the geometric dynamic programming principle proposed ... | i | b5fd64a06a9ee46bed67d21b3e4baf97 |
With the advent of the LRW dataset, it became possible to train deep neural networks and utilize them for real-world applications effectively.
At first, a lot of research was focused on 2D fully convolutional networks {{cite:e3b6c837d77af30a307629e1a57c7156ca1f94b5}}. Nevertheless, thanks to hardware evolution, it soon... | m | 34f3876de80b0945623dcd5baa5bddc1 |
the difference between a multiple of cumulative mean rewards of choosing the best subsets {{formula:8c800b2d-df12-4da3-af54-1ac013cdd172}} of size {{formula:31d92051-9a07-4b07-86bb-94ac7a8cfa50}} (subject to matroid constraints omitted here for simplicity) and the mean utilities of the subsets chosen by the decision... | i | 03ccae9e7e80c7ba24e19fafe52913ec |
While these approaches are very interesting and gave promising results, so far they have only been used to produce critical points for a fixed scalar potential, which is resulting from a single specific gauging within the large infinite family of possible deformations.
This leaves open the possibility that other vacua ... | i | 5431537754e8218c05dfe00728c3f755 |
The cross-Kerr nonlinearity is used for constructing the two-photon QND, which will mainly influence the feasibility of our schemes {{cite:781fc1757b1e57d0bd9aa5cf42ff9ffbff586de0}}. Although it has been widely studied in the past years, the effective nonlinearity strength is still challenging in the single-photon regi... | d | c43d2b85281d10728436a3326fd6c5e6 |
In most applications, a network's community structure is unknown ahead of time and cannot be inferred based on visual inspection alone. Instead, we use algorithms and heuristics to partition nodes and edges into sub-networks, called communities, modules, or clusters. This enterprise is referred to as “community detecti... | m | 0c53a942854c78370a887b082f239147 |
Finally, this paper has considered problems in which agents seek to ascertain the answer to a question of external empirical fact, such as whether it will rain tomorrow, or which of two teams will a sporting event. It should be noted that some attempts to leverage the predictive power of social information instead focu... | d | 691a634faad4a4ff4534ddfa3930267f |
Policy gradient methods present an opportunity to avoid the pathologies discussed previously in temporal difference targets while still preserving other properties of the RL problem. While these mehtods tend to exhibit other pathologies, in particular suffering from high variance, there is no reason to expect a priori ... | m | bd0df308bf51e273f4204d5f22b5714b |
Before discussing the multiphoton effect on the DCS, we show in figure REF -A the laser-free DCS as a function of the electron's scattering angle {{formula:4db5542c-5d85-4751-9241-e68b64e45d4c}} . Four curves are presented in figure REF -A: The first curve in blue represents the (e-p) scattering process in which the pr... | r | 61fb645d347a53bd55fb05cfa563d2d2 |
The spatial structure of a population affects its evolution in many ways, for example by promoting cooperative behaviors {{cite:8623a4fc8f11554628b40ed8896e04da9adfafaa}}, {{cite:83b7c7d659b531981973a6dfa983cf4fcab06a04}}, {{cite:2a5b2175aaa4d58d717d3b6ac2d3c69264d006f7}}, {{cite:9487f20bdbd817127a9c33ff5efc93e8a90d1d3... | d | 4119de899ba781e90dc20bc40ed99a26 |
The origin of the latter can be ascribed to accidental BIC formed due to a simultaneous destructive interference of leakage channels{{cite:b1d340652d18d138529400844674ec189dc8e858}}, as demonstrated at THz frequencies{{cite:0e9d3fe894e15d8c6b6d24eb35a4c956e932d50e}}.
| r | 71c2af5c7323fcdc26466c02f0af7dd7 |
We can also define the evolution of the discrete system on the Hamiltonian side, {{formula:12f02d2d-7aee-40a2-991d-dede203e84b2}} , by any of the formulas (see {{cite:b3b761af59e72b5cd71cbfbd6c27263af2969437}}):
{{formula:99055e26-fb8c-4490-8dd4-52223d46211b}}
| m | 6b29f2709ca6a885ba5679a627cd5452 |
In conclusion, we have demonstrated the applicability of MPLC as a building block for quantum information processing of entangled photons. We have certified high-dimensional entanglement with high fidelity by programming the MPLC to switch between different mutually unbiased bases{{cite:60f8eaf57d59899cf1dcd48c7b4cc453... | d | 4489cdfe3d381d57f89b7d07375d6c4b |
The macroscopic state of an extended system is therefore best understood as a patchwork of domains that meet at various types of defects {{cite:050ef0ea92d3c73b66d57c4ad87bf47410afd9ca}}: disclinations, dislocations, monopoles, walls, etc. It is thus of
interest to
develop tools that allow us to understand, predict, co... | i | 77ba2f9d4aefc0fcd0083ec224225e03 |
We refer to fig:TRvisualization for a visualization of Algorithm REF .
This basic description does not cover all TR variants and does not detail assumptions that have to be made for the individual components of the algorithm.
A significant part of the algorithm is to choose the model in Step 1.
In general, only a few a... | m | 1a27f26efb99a5ab4a5a36ed0d94468c |
Keeping the search global comes at computational price. Whereas typical shape recovery with RANSAC-based algorithms uses seconds-to-minutes on a standard computer, the genetic approach described here takes minutes-to-hours - up to one day for large, high-density point clouds.
This is on par with the computational cost ... | d | be942ff9e23584abc0a123cc104a0500 |
As described in Section REF , our datasets are severely imbalanced. In such scenarios, evaluations of performance using only accuracy measurements and ROC curves may be misleading, since they are insensitive to changes in the rate of class distribution. We therefore perform our analysis in terms of precision-recall cur... | r | 7a7b8ce720143d5fa7eeeed6915003c4 |
Limitations for real-world applications.
Currently, our rendering speed (about 30s for each view) is bounded by the intensive network queries and nearest neighboring searching operations.
When deploying to real-world applications, we might consider accelerating the inference speed to fulfill the real-time rendering dem... | d | e87e5e6eaea434c16099801c58b6c3fe |
Although many efforts have been made to perform robust tests of
CDDR, the lack of adequate observational samples and
model-independent methods should be taken into account. Specially,
it is difficult to obtain samples that satisfy both the luminosity
distance and the angular diameter distance in roughly the same
redshi... | i | cf5df24c760a2ab21f431e22f60f1f0a |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.