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Motivated by the drawbacks in {{cite:480937d75fb71609ee03bc5521db3387913bb68f}} and the vae branch in {{cite:52d449d7c571c811b25e2d23f7469130db221308}}, we thus propose a framework that we expect not only utilizes region-based optimization, but we also hypothesise that it will prevent or reduce overfitting.
| m | c18a4e6d32e502bbdc1226270cd396a3 |
We propose the InDuctive Collaborative Filtering (IDCF) model. Our high-level methodology stems from a key observation: there exist a (or multiple) latent relational graph among users that represents preference proximity and behavioral interactions. For instance, social networks and following networks in social media c... | m | 0846021820bd4d73d2b2ac5805a00688 |
Stability on Nonsymmetric Semantic Relations. In order to test whether the responses arise from associative fortuity {{cite:bcf77a7c4e4602a8e02c06360db8022368be8768}} in the data we tested Davinci's sensitivity to argument reversal for nonsymmetric relations (e.g. Original: Does a missing wheel stop a car from running;... | d | fdc0e3657345aae09b9fc792d8289777 |
Interestingly the BP decoder doesn't exhibit the same behavior at low error rates.
Moreover the non-increasing behavior of the derivative of the performance curve of the BP decoder is surprising at first sight. A possible explanation comes from the use of the physical error rate as an input of the BP decoder. Therefore... | r | 7e0ff167ff358ec5127f359257acdd46 |
Although extensivity is the backbone of the Gibbs statistics,
there are various arguments in favor of the non-extensivity,
especially in relativistic systems and those that involve
long-range interactions {{cite:47ce0d970ec70343b2bf59a92273c8e8af9866fe}}, {{cite:74ffdc4ddfef66b7bbe363a114735870d1c1a5ab}}, {{cite:b45406... | i | f43ee465bf7718893acdb0b9695b91ea |
where the matrix {{formula:148a4237-da58-4dd0-a7f4-1ce5f4c0c633}} is assumed to have at most {{formula:b262ff4e-0730-493f-9383-e17937fe5773}} nonzero entries
in any column and in any row.
A popular formulation of the problem (see {{cite:c7afb12e6842d4169c6a0ff533c802edc535c6af}}, {{cite:32648195708389515e94265fab2d64... | r | 3ed8eee75f6f8629cba31ddb5eec18a9 |
In this paper, we show that {{formula:098368aa-3cd4-420f-b767-64195f27b299}} non Clifford resources are both necessary and sufficient to simulate quantum chaos. To this end, we explicitly compute the 8-point OTOC and the fluctuations of the purity in a subsystem and show that a doped Clifford circuit will attain the H... | i | 8b9860aca95d62bf3ef70808170b3500 |
The model that we derive also includes the Page-Wootters mechanism for non-interacting clocks in Refs. {{cite:4bae5e194fa6cbbb78a4a83321fab8851e04abfe}}, {{cite:f9edad70057ef869522f770fbd56038651559e3e}}, {{cite:8ca2017fa3d50740d9332179c1604c536d87ea39}} as a particular case, when the external degrees of freedom are ne... | d | 68e5bc1ee36e609c641e2f404d4b4fbd |
We collect a number of inequalities which we will frequently apply throughout the rest of the article. Some of these can be found in {{cite:fd5ea06dacdec55c1861be751065c06733cd0c41}}, {{cite:9d4935c80fc4e5dc2ff372e6a09b62482629e421}}, {{cite:da0c45bc4cfd9fe77e55cd9ec4943215a2b4c174}}, {{cite:1fa51f6dc11b055a0a5ee32a60b... | r | 3b47eaefccceb4df77064cf62663f680 |
Here, {{formula:0f60fe5e-1ccb-497f-8bb6-3301f4c74854}} is the momentum of the residual nucleon.
In this way, the {{formula:f800da95-d10e-4967-bb6e-7d2651991f2e}} spectrum can be decomposed into {{formula:370a254b-e5b3-4557-90b9-643fd0a6000c}} and the response function {{formula:86160558-9df3-4332-b784-7e3d5a645673}}... | d | 9900cfe6d0f85562f2629eade809f63f |
On the more phenomenological side the inclusion of spin and collisionsCollision functions in the context of classical transport theory have been studied e.g., in {{cite:5b932713186c3485d440d3eee662bf3fc0da3c7a}}, {{cite:0fac46f189433176ed65a42f823a89f70b5187ed}}, {{cite:b55b0e37cff6a9e968b917673bd1d8fbe10b646e}}. would... | d | 447c3e3e9fbb7801dc04e958f048e625 |
In this section, we first revisit the standard process for training BNNs, then subsequently introduce a novel module, “Elastic-Link” (EL), to reduce the information loss in BNNs. Lastly, we demonstrate the EL module on Bottleneck ResNet {{cite:b610170c501930e633ed058210a481007f54f568}} and MobileNet {{cite:14a0991c1ba0... | m | 14023ee1a98779e7d63d2483b5249686 |
A semi-Markov game(SMG) is a generalisation of a stochastic game({{cite:f6814bcca216b62b91f295536319e70f6e31f049}}), where the sojourn time depends not only on the present state and actions chosen but also on the state at the next decision epoch. The theory of semi-Markov games finds applications in dynamic overlapping... | i | a3d3fbf2e7f5582b74ebda0695e3e364 |
First, from a mathematical perspective, it may be desirable to establish formal justifications for the distribution of the number of clusters within an excursion set and the distribution of the volume of clusters within an excursion set. As noted by {{cite:3f4f1ea964793cb21013f0556e53a1e0fcbdec8f}} and discussed in sec... | d | 3f3c4db7a67e42336cd1fa9f401856f4 |
In this section, we prove the main theorems (Theorems REF and REF ) with the help of computer calculations, which were done over the computer algebra system Magma V2.26-10 {{cite:71773caca61a0d465d33e8bbd0bf7abeb297b9a4}}, {{cite:fcfb9faac1390a4085ab635193f41b9ca1b2480d}} on a computer with macOS Monterey 12.0.1, at 2... | r | cc32a6dea0b447008c1afcd0c4cc259b |
Creating realistic videos from scratch (i.e., unconditional video generation (UVG)) requires the model to learn the distribution of the video data.
In other words, we are essentially learning a density function from which we can sample unseen videos.
This is typically achieved by employing an adversarial training frame... | i | 70e019815cbdbd090ebf33c2792f84eb |
The segmentation model, which is used after the style-transferring part, is represented by the DeepLab v3 framework {{cite:47d1120003c9b13e63ea818f921de51f08f57428}} with a modified number of input channels, in this case, equal to 6 bands of imagery. We use both original Landsat 8 samples and their stylized versions as... | m | 9d35f74ec9b609e908b5127505bfb9a8 |
A more detailed investigation of these hypothetical mechanisms is yet to be undertaken, and will require substantial modeling efforts.
We believe, however, that the scenario we describe in this manuscript can shed light on how to bring different characteristics of SBs (generation, propagation) come together harmoniousl... | d | 1bec253123b7ed7a572fb51ee47120f6 |
We refer the reader to {{cite:5887112f81ac3bd897493ccf6fd64f5ca4e066dd}} for a detailed conceptual account as the amount of literature on outliers is vast. However, for an inclusive definition of an outlier, we start with a general one given by Grubbs in 1969, “an outlying observation, or `outlier', may be merely an ex... | i | 5d38ce031c83cf30f1d675e109687de3 |
We compare the amplitude of the oscillations that we predict using our asymptotic analysis to those from numerical simulations. We employ a symplectic integrator in the form of a velocity Verlet algorithm {{cite:047fe1d3710b538e3e7cc9bc19b1f34c9fb47655}}, {{cite:97452b7e94dc3698c13eefc5efc18cde0f80c43c}}, which is conv... | r | 8bc2d63931ac186c298ad47089365fd6 |
In practice, inspired by {{cite:a19336faf207886c3ff4d218b8d090d923d0bfbb}}, {{cite:a54d915148e29adadd769b6b398931c74de489aa}}, we employ data augmentation to obtain the estimation {{formula:d81e3642-9e51-4da6-be16-7e2947871c51}} of the real {{formula:b2158768-2b00-4f1c-ac72-91e8f5120125}} . Specifically, for each imag... | m | 5295f163afe48a25bbfc58d908738f64 |
We first present in Fig. REF the possibility to address the {{formula:a1ad80c5-08d4-4307-a787-effa26712103}} anomaly with dark U(1) gauge boson and the {{formula:02ba07db-80c3-4ab7-b05f-8c1326cf56f1}} complex scalar model,
where the {{formula:39bcb36f-a65a-431d-838f-f500e3e0b87d}} exclude a lot of parameter spaces ... | r | c9f0100bba56eef17fb56be670caec5a |
Artificial Intelligence has received an enormous amount of contributions in the last decade. In particular, deep neural networks have been adopted massively in domains among which computer vision {{cite:8fd87c25e7ef405f6ed354be71c9e9bdf8830951}}, {{cite:4e50e7f0e2f9b68c80809a9a70b7f1e0254647bc}}, {{cite:3dda4401fd2e295... | i | 7e40536c38960e7ee5f06a06ed10cb01 |
As discussed in Secs. and , the
boundary local time {{formula:26e10e54-79d0-45e1-a00f-860e521dd2a4}} is a proxy of the number of encounters,
{{formula:c03f7c6d-e3e2-4849-ab8d-4b41123266e8}} , of a diffusing particle with the boundary layer {{formula:2292ba37-3ab1-4718-8f26-08dc8fa1515f}}
of width {{formula:748d20bb-... | d | abf54f7062081518944a4841cc1ea83b |
Our work has several important implications for designers of algorithmic flagging systems and sociotechnical systems.
Scholars of human computer interaction, science and technology studies, and the law have all called for analyses of algorithmic fairness to move beyond biases inherent in algorithms to consider the syst... | d | 97b02a480c64cf9f8f3f13b405511b66 |
This paper has introduced a novel approach for reconstructing CT images directly from under-sampled projection data, referred to as DEER. This approach is featured by (1) an adjustable network-based reconstruction algorithm, (2) the Wasserstein GAN framework for optimizing parameters, (3) a convolutional encoder-decode... | d | d1725d725275630aea76dbb06f01c9d3 |
The use of vision transformers constitutes an exciting opportunity for many surface learning applications, especially in the context of biomedical data to study diffuse processes in cardiac {{cite:babbceb114a6ddf1ec507c0b1e48b6ec3f4b4990}}, or neurodevelopmental modelling {{cite:5db175538642c7644d1fcfb131365fa8735eb46e... | d | 7ec24a3a3786f6c29617ade3597527f2 |
The DDM's inability to explain the low-luminosity suppression joins other challenges this model faces. Recently, {{cite:b040c61fc7f19d1af05860346ec9051c5db3c5e5}} used the observed {{formula:1f61034e-e906-4bcb-89eb-276e409f1e5f}} relation {{cite:641e1a401675b8c99aad3f5491abe66ce954a423}}, where {{formula:85a905a7-22f0... | d | 624194f167868c0ee0c45dd496ed216e |
We next consider the optimal values of the response parameters. In the adaptive response, {{formula:e78c57f2-533b-4d4d-a5c2-675e2a3c72b6}} (the memory length) is very short (Table REF ), allowing the bacterium to quickly adjust to small displacements from attractant optima. {{formula:a80f9635-310a-4676-9b44-a615a40f83... | r | 23bd9836d3131c63c13f5e2dfed1a4df |
As a simple way to constraint the model parameters of possible spontaneous scalarization, it is interesting to extended our study into many cases. A straightforward case is the Schwarzschild or AdS black holes in EsGB theory as well as other modified gravities mentioned in the introduction. The second case is the dynam... | d | 94d4fda50be0d6675327adf8ac276d02 |
We remark that our unfitted finite element method (REF ) is the so-called local discontinuous Galerkin (LDG) method in Cockburn and Shu {{cite:687127adbcb93f907f18d5adb77bfd9a90b9ac69}} which is different from the interior penalty discontinuous Galerkin (IPDG) method used in {{cite:075db04120e2773302e7a612b2cac8461949d... | m | f466a322c0358620e624dcb8380f86f4 |
The CESIUM framework simulates a theoretical CESDP by modeling its constituent elements (Sec. REF ). This section describes how the base instance of CESIUM represents each element: the system architecture and system boundary (Sec. REF ), the constituent artifacts (Sec. REF ), the organization of interacting agents (Sec... | m | 9f7b51877269f91603d7f8c8914d1491 |
Our Test-time Visual Consistency (DAVIS) framework is a general learning paradigm that can be easily applied to existing VLN baselines to boost their performance of generalization to new scenes.
Extensive experiments show that DAVIS achieves model-agnostic
improvement over previous state-of-the-art VLN baselines on R2R... | i | 5fe21204431dcf8272d26a950b4c0ac5 |
In this section, we will mostly focus on ecological implications of the mathematical results obtained in the previous sections. We should stress, however, that it is crucial to define the way of how we should formally assess the consequences of the Allee effect on the population dynamics. Indeed, this question is far t... | d | 6713e57871042220225b821a4a348fa2 |
A suitably prepared standing wave of laser radiation can form an optical
lattice (OL), which are broadly used for trapping and steering of ultracold
atoms {{cite:b0c360c0121da13bca2753df8588c9f85157809a}}, {{cite:b5c4980d9d30f1312449ccfeaf6493cb467d8e74}}, {{cite:2f9a9ea3cecaaef1656b13f1c1938085b0950ac3}}, {{cite:a521a... | i | 6710b49e9069696da41f23c0e8cffc92 |
where {{formula:a47c08cf-d7fd-4329-93c1-d8d5aafb4694}} is the elementary electron charge and {{formula:55dedb6e-ab19-44dc-99ff-bd62183ee82a}} is the charge carrier density. Graphene was found to exhibit hole conduction at zero back gate voltage with a sheet charge carrier concentration of {{formula:0db0dc20-3314-4e8f... | r | e1959fb40977f876acd293274b9d357d |
Proof.
To reach a contradiction and establish item 1 (respectively, item 2), we assume that (REF ) (respectively, (REF )) holds and {{formula:93c8fb25-da7e-4077-8b21-b3b53b9109a8}} is not conditionally invariant (respectively, not strictly conditionally invariant) with respect to {{formula:49cd1c68-92c2-4b20-af34-51d... | r | 62fe33a9f5456bab22eded90bf534983 |
where {{formula:60604566-59ad-4c14-9757-b39b266d26f8}} indicates the encoder network. We adopt the modified ResNet50 {{cite:81937aadec8f0436c6294545477a9191215f310d}} pretrained on the ImageNet dataset. Our encoder outputs features at {{formula:2aadb0d9-7477-49e9-a686-bf7ad6bb40b1}} resolution of the source frame as ... | m | 2b73cedb5da5b65e133cbb1ce0409186 |
Remark 2 (Technical novelty)
Although the estimation procedure for the BSVDgq method, as outlined in Algorithm A.1 in the Supporting Information, has been theoretically studied in {{cite:21ab701100b96c97149d32b8844e20b2ca485ea8}}, their result hinges on a Frobenius norm error bound for {{formula:cb1303fb-7671-4c2f-a7f... | d | c0ba7f4dcd45542d9968c235dbda611c |
Two main challenges of automatic recognition of tendinopathy from US images are data shortage and indistinct appearance of US images. The problem of the small data set poses serious hurdles when approaching deep neural networks solutions. To work around this problem, concepts of knowledge transferring, transfer learnin... | d | 590b1ad3477825f8d45552b819b49148 |
in four spatial dimensions, where {{formula:8cc4bd1b-c2c5-4fd5-895b-1ca9f8946c60}} and {{formula:23ae498e-a25b-4acf-9192-2d81bea386d2}} is a fixed real constant. The equation (REF ) was introduced by Zakharov {{cite:29fede18dfc60bdd84be9978b144ac5bd6792f98}} as a model for Langmuir turbulence in plasma, where {{formu... | i | 4efb1cf6b364cc648cfbccbc40c7c6c4 |
Another promising line of research consists in extending Theorem REF to the case of metric measure spaces. The theoretical ground for this development may be found in the seminal works of {{cite:9f654d75af56202b88ef9d49cd5ac2cd27dde703}}, {{cite:78958abb7d8fcab82fd079c7cd0451619bad9116}} and {{cite:ef2492b7f057eef9014... | d | 264a6d912ce1f4e0ea4bac899a26046b |
We further describe the protocol's steps that use both an offline and online phase. The offline preprocessing phase is independent of the client's input (which regularly changes) but assumes that the server's model is static: if the server's model changes, both parties would have to re-run the preprocessing phase. Our ... | m | 7645c148394f87a36d81b831bc854bda |
In this paper, we have developed on the notion of a quadratic form expansion, as described in Ref. {{cite:b2d7f365cb287bf69857a563939fa1c855747051}} and informed by presentation of similar path-sum like representations of stabiliser states and stabiliser circuits {{cite:76b549f0aa4d6e7f5fc1fa6f0e68543a5c867289}}, {{cit... | d | b4b1c4e84667c2f25b62ef5c5a4e4901 |
ES-FWI is an underdetermined optimization problem as highlighted by the ill-posedness of the scattering source estimation problem, which requires some regularization. Another advantage of the augmented Lagrangian method (or method of multipliers) is to provide a versatile framework to implement various kinds of regular... | m | 35faf26abc532ab0a5e3514a5690bc10 |
The DR estimator can be interpreted as estimating the PATE by using the regressions, then employing IPW to the residuals to adjust for bias. For this approach, we firstly estimates the nuisance parameters {{formula:70ce395c-8782-4d08-bc36-44a663ee6834}} and {{formula:47fb106a-e091-4203-9ef6-1d2b27e4f94f}} non-paramet... | m | 961097b4fba91c93c0bb368a5110ccf4 |
Analysis of Speed-Accuracy Trade-Off. Fig. REF shows that our highly efficient model has considerable improvements compared with the existing 13 COD methods. Note that the inference time of models, except for the part of competitors that appeared before 2017 (i.e., FPN {{cite:7e0b8abde4786f1d2c798aef808d4dcd242fc728}... | m | 15f222c225107e7db10adca8622b92f6 |
with boundary conditions {{formula:9a77e5cf-19ad-40d4-980f-a988e3d4661f}} , {{formula:e74f1e37-3ddd-4cde-a08e-7624e9463a0b}}
and {{formula:36f68275-7c89-48ff-9f33-20f04b3c3abf}} . Shooting
method is one of the popular tools that treats the above two-point
boundary values problem as an initial value problem {{cite:88fa... | m | 42c23fd71262505506342c3e39b456ab |
Table REF shows the SI-SDR comparison with a 95% confidence interval in the DNS dataset {{cite:facc4120d8d5287a41c088c9305cfe9d0c1f9629}}. Comparing VAE-GAN-L and {{formula:e6f3fc41-8078-40c3-b1db-0dba50331a86}} -PVAE-L, it is evident that there is a SI-SDR score improvement, which illustrates that adversarial trainin... | r | 26b8ad64854d7ab43370b1b325b564a5 |
We report the SacreBLEU scores {{cite:2bc89ba4254672423136d996dc4ab90dada10f56}} in Table REF .
We observe that our proposed Faster {{formula:7cad853f-ff54-4df2-b1e7-707060214661}} NN-MT model achieves comparable BLEU scores to vanilla {{formula:0d35582f-b4f7-4cb0-801e-3c4d2a3584c2}} NN-MT and Fast {{formula:c81028de-f... | r | 52e0cdf4184bf06afd7ca2ec113d3d77 |
Specifically, we see that on all of the and 5w1s and 5w5s evaluations, Protonets trained with achieve better performance. In addition, for each of these evaluations, we consider training with different number of ways and shots as proposed in {{cite:3f32fed37113a50f0f946de7994dafe7af0687ef}}, {{cite:6dd6feb10bf0584f9810... | r | 6830bcf1201da8d3680c43d561b8a3ff |
Varying {{formula:a3d5ff66-811f-4e9f-b0d3-5f7df8484259}} beyond unity, we are able to explore another portion
of the parameter space of our models as in fig4. We depict
there the allowed curves in the {{formula:082f5911-8daa-4e10-bd8d-90e8f488f66d}} plane for {{formula:158b67e7-939f-43de-b554-c7361a4a2255}} central
... | r | f137bdbc7c7f9d192538cbc1d228cd28 |
From a physical perspective, both nonlocal and multiscale effects are characterized by a collective and multilevel transfer of information, from the finer structural (material and/or geometric) scales to the coarser (often, continuum) scale. The collective information leading to nonlocal effects is associated to multip... | i | 52bf55370714be7ea91d0beef4302011 |
Landmark:
As a baseline, the standard landmark detection approach has been used similar to the work done in {{cite:261d53afc7cd0197efd493e7739582b41ae33162}}.
With an ImageNet {{cite:6eb4b099f183cc0f783dfed62f33faaaefeb45a4}} pre-trained ResNet50 {{cite:87ae4cc430b137c7a25e7d137e94eb69be2a8814}} backbone, we regress t... | r | ee814183b5e23e3feeb4882926de348d |
The study of the spread of diseases is an important interdisciplinary
research topic {{cite:07a58d0034a30528010256e9d89e2dc40c8bd65e}}. Mathematical models are essential to understanding, forecasting,
and studying control measures for infectious diseases spread {{cite:0661145602fe7a65ad34dbb112a07715ac506963}}. In
gene... | i | 486da647fb28d377d4c11a4ccbc57f34 |
There are several ways to approach this challenge, such as with ConvLSTMs {{cite:7f2b0d0472cdaee85ec7a881802fd16e041d20d5}}, Graph Neural Networks (GNN) {{cite:d1dcd49657d542bfae74a297d2bd516c398e984a}} and U-Nets {{cite:f4466be901d98941d1b2384e47dea004cf0ad0ce}}. In other similar competitions of spatio-temporal data, ... | m | 22509e6e27ce151b3990dbad22950d88 |
For binary logistic regression, the loss equals {{formula:9648a22e-57db-4d95-88b7-710544972f20}} where {{formula:f7597c2d-ece0-4ba4-82bc-02484ffdea06}} denotes the sigmoid function. As shown in {{cite:c577761848510c1b7510ff19d34ae4ea52acdd04}}, the assumptions (1)-(3) in REF are satisfied with {{formula:9dc02067-720... | d | 4ebe2e5042c77545cb5330ab2268534b |
A very successful and popular mutation of the LSTM is the GRU unit {{cite:e40249b2f08556edecadc81d15de9d734e8b7114}}. The GRU only has an output as opposed to both a cell state and an output and uses fewer gates. We showed that adding similar rotations to GRU cells does not show the same performance improvements, and t... | d | f8ea6a51a13304d134b8b16138aba0e2 |
In this section, we show some results of concave maximizer Algorithm REF .
They follow the proof of (inexact) SARAH {{cite:82c720d5c98a2cee063d74bf81bfab06f940ca92}}, {{cite:1e13eb0740b0c81cf2c728e84fafb931dcbc4ce1}}
and we present the details for completeness.
We denote {{formula:3cc7da2a-5996-4cc5-9899-fa83ed93cf2b}}... | r | 2c5eb02f18f1b0ff98462430ba710605 |
In this section, we consider a typical MMTT scenario where we include both closely spaced targets and maneuvering targets described in {{cite:d27d6acac4684722675108cbf45e6208e5b7a29e}}.
The true trajectories of the three targets are shown in Fig. REF .
As shown in Fig. REF , the three targets fly westward with their mo... | r | 9035857a98f3c8ce2c182f603e2fe859 |
Every quasicontinuous dcpo is sober (Proposition III-3.7 of {{cite:273133e4eac223f8b7ffc949c92418c2b17cf7e9}}). A dcpo {{formula:cc237ac4-ae68-42ba-8a3d-3a8616b895de}} is quasicontinuous iff the Scott open set lattice {{formula:b737bf15-b4a7-4797-912e-a2f8de8855ba}} of {{formula:2a2239af-f284-44c1-9302-edff27990059}}... | r | 705292f667d26d3b462b6b8c45e52ce6 |
Lots of efforts have been done in crowd counting. We generally classify these methods into detection-based methods and regression-based methods. The detection-based methods {{cite:aea1d0054a33599508d819ae150766e08130d68e}}, {{cite:004ec7c441110648b99f286ed3dccf6a6417a1b6}}, {{cite:c15bd93da24b98bb9ce88735706822e56b1fbf... | i | 79975a220016f21961d1298d0dae7663 |
The symmetric part of the Ricci tensor field, when it is
non-degenerated, serves as a metric. This was noticed very early
in the development of differential geometry (see for example
section 5 of Ref. {{cite:0a017eafd584708278342eb730412e3364241340}}), and used recently
in Ref. {{cite:4033376c891cde1771202a26ad1dc8721... | d | b1188171d36731d9c8a6b3be3dc5f937 |
In this section, we evaluate the performance of PS-SWIPT MAC systems under a non-linear EH model and decoding cost constraints. Specifically, to gather a practical overview of the systems, we consider the non-linear function of the EH rectifier.
To this end, we set the circuity parameters of the EH rectifier in (REF ) ... | r | ef38e62dfbd01a1f0158843d33866cf0 |
In general, the topological field solutions that describe the vortices are described by static solutions of nonlinear fields, which allow the spontaneous symmetry breaking mechanism {{cite:ad634fc955cf221573df5db6537ef85a56f6de29}}. In this sense, such structures have been intensively studied, and their consequences ar... | i | ef7c04ce194f8a6e4efd13f484ff4c56 |
Using SMERF, we find that, in simple reasoning settings, most saliency methods perform reasonably well on average, as measured by IOU values with a correctness threshold of 0.5.
However, we also observe some failure modes across different experimental scenarios. For instance, LRP {{cite:f05af1acf9d61429b9c6d9b5b6bc5a39... | i | 57b1b2ba7b6ebc1306d1f9a52e5957f6 |
The use of the ensemble Kalman filter for parameter
estimation was introduced in the papers {{cite:cb7b843a8c3dd4835410346f50941ad44f6960ac}}, {{cite:776220af650cac98b7f68320c30b120c9ba4e4c0}} in which a physical dynamical model was
appended with trivial dynamics for the parameters in order to estimate them;
the idea w... | d | 15c258e7e65d80317bbe5c834a2a6bbc |
Resistivity {{formula:33f4396a-e58a-4951-a044-ef4367ed5319}} of Cr{{formula:c327fac8-73fd-4c54-8507-2dca2d449b6d}} Si{{formula:05a2db5e-0d9a-4e84-aab4-c9d9983d32d6}} Te{{formula:f6c91bc8-df37-4284-8f7c-c5a8e3eb415a}} at ambient pressure is presented in Fig. 3(a). It increases on cooling from the room temperature, sho... | r | 45371c6fa5ea1a5525b8e3bf588bc020 |
On the other hand, more recent attention has focused on facilitating active reflecting elements at RISs to attain significant performance gains, which lays the groundwork for further research in RIS-aided transmission schemes {{cite:2166f9ec660dc241a31aa8eed222f398fd6edc39}}, {{cite:86c55413525e77a6de59af62e95bfe6eb527... | i | 2db782a8c55d57209f150d483e96cf59 |
In order to prevent the iterate {{formula:3766c996-6290-49ab-ade5-3789b16b952d}} from becoming very large (causing numerical instability),
{{cite:1ea336609064f0189113e580f6497a75d50a7c14}} advocated assigning {{formula:f6dd10f9-d142-4b28-ba03-ffac9b6be2f6}} ,
for arbitrary-but-fixed reference state {{formula:565ac288-... | m | 9018916fc985777b996ff752bf8eb23d |
To simplify the analysis, we have performed the calculations for the case of a real scalar field. Physically we expect the result to be extended to other types of fundamental fields such as the fermions or vector bosons. The main difference would be that the vacuum energy density and its sign will depend on the spin an... | d | 407dd4c9164bfa613ab0e095263820a2 |
In summary, we demonstrate that once the thermal boundary layers decouple with the viscous ones and locate within the turbulent convection bulk, the ultimate scaling of the heat flux and flow velocity can be perfectly realized even at relatively low Rayleigh numbers. Our results support the physical picture of the ulti... | d | f1ffd7ead58fc42907afbd9a6d9b086c |
While the distance of persistence images is not stable with respect to the bottleneck distance on the space of barcodes, it is stable with respect to the 1-Wasserstein distance {{cite:8155585d31df3239ed0f7e7b0cbf2412216ad42a}} thanks to the weights applied to the Gaussian functions.
| m | 617cd784829bbcac508e30329adbc01e |
Semantics embodies the function of language, which is the core for distinguishing a language from a meaningless sequence. However, it is very challenging to explore the semantics of machine language, because it is entirely a spontaneous behavior of the machine. There are also some works {{cite:7fb53f313d550f3b497def445... | r | 2ce65e7848445c77ddde7d01b1874f6c |
In Fig. REF , we plot {{formula:9fddb694-369c-49a5-a477-35e2ba6d1e53}} versus {{formula:3e451f58-7c3b-40b2-83e2-893fbe3b4bf1}} for three first boundary
condition {{formula:525dc73f-9177-47e6-8b9e-abb809dcc080}} , {{formula:46f94a7d-9208-410d-b625-bb95b91efc9d}} and different values
of Gauss-Bonnet coefficient {{form... | m | 676ebede1bd6b21fde05fa1f7e1bbcfc |
Using the properties above, the following lemma about the moments accountant has been proven in {{cite:088fc87c25b0e04f1bf0a5ef470627663d807b93}}:
| m | f3fa9e1b38b4aaa1ba1ecfc77552ac53 |
By the Bishop-Phelps Theorem {{cite:0e67ab6923777c4b584c5e725ad9b09bdf4a0070}}, {{formula:337de7f6-f9ab-4738-b451-ba399ab7b94f}} is dense in {{formula:aea0776f-8eea-4322-8892-04e02df52d4a}} . Since {{formula:f133b058-67b5-4275-a581-7e61a45d6fa1}} is closed, Question REF reduces to the question whether {{formula:e31f... | r | 21ac7c52b501fb44678ced14ae52a140 |
Fig. REF shows the comparison of test accuracy in a severe non-IID case. To mitigate the weight divergence caused by the data heterogeneity, FedProx {{cite:7127bb382fb8c574f5852f38092e37e543cb1c1a}} adds an {{formula:542c76d8-4498-4df3-a680-41c605272412}} regularization term {{formula:4f96fab3-5815-4b7f-bc55-8e35d42b... | m | 429c0d855d23230e1f2ffbbdf5d5f61a |
For {{formula:a0fb9e8e-df24-4ced-bed0-3b540e0db72d}} monolayer, the HSE06 (GGA) gives an indirect gap semiconductor with the gap of 2.297 (1.744) eV, and the experimental value is 1.94 eV{{cite:58791e4563ff0f6316689438d9550f8376916f3a}}. The difference between HSE06 (GGA) and experimental value is 0.357 (-0.196) eV. S... | d | 570e69ef74b1ad52c7ee9cbb7d78ee2b |
Our proposed method is inspired by multi-layer ensemble learning architectures, in which the segmentation algorithms in one layer train the segmentation models of this layer on the new training data generated by the preceding layer {{cite:2d6b1123cd3e925811fee15c4713d65e598ed8ef}}. Applied to segmentation of medical im... | m | fec0c6da45e83d7a9f0e485e97ee70ad |
I-FGSM vs. PGD. I-FGSM {{cite:49f03efba1aac2f2b4cb89b2517e7db7a861326e}} and PGD {{cite:221b940f91ea9818d83c85b7e328f0983c07d276}} are in essence the same except with a technical difference. Specifically, I-FGSM initializes the initial perturbation with zero values while PGD initializes it with random values. Random in... | d | df06a8cee02b70ccc6123a7c73244da5 |
For the lowest doubly-charmed baryon state {{formula:c7590737-a4b9-49c7-ac11-06d620cb7573}} , the only doubly-heavy baryon state observed experimentally up to know, the mass {{formula:b42bac14-787d-47a5-a909-f2041c848216}} {{cite:454d228bc999ccbba37e3e9a7a5448465aee0cd9}}, which is smaller than {{formula:f0b63614-6a8f... | r | 3afea1281eb3b34f3f42f2fd19c6a324 |
so that {{formula:e6af3520-c079-4df5-9e66-b29b9d03097b}} .
A typical choice for {{formula:dbe93d6c-f878-482e-bd24-0b15e0a642c8}} is the well-tempered distribution{{cite:c1a03daf46eb86b4d3b23780f6fcde9ab16542ac}}:
{{formula:4d20dc67-887d-4114-b8ee-c8eafc88116c}}
| m | 4355ef646f77ebec3be57b3042bf2bbc |
Because of its importance to image understanding and analysis,
object detection has received increasing attention in recent years {{cite:b464c3cbf2ea2dd430260853b88a464b96867afe}}, {{cite:ebf247e5b3a07be114ea4b8a98df82f809bb66dc}}, {{cite:23327edd08c2fb63f68432418a4bcd627b5561d5}}.
With the impressive development of de... | i | 43c7c31fc4d015833d18ee8b68f1ec26 |
This is especially relevant as human annotation is very costly and model training data is often labelled by automatic labellers that use ontologies or are rule-based. For example, the UMLS (Unified Medical Language System) ontology {{cite:75a7ac66571d8958931cae81518fb58c87003ad2}} is almost predominantly used to match ... | i | bdc70d3352f0c27b5f76713e6245d307 |
In 1962, in his famous book on graph theory {{cite:948771cee3fe931d5eace7da5365c56c161291c6}}, the Norwegian mathematician Oystein Ore presented a new problem: “In a tree there is a unique shortest arc between any two vertices, but there are also other connected graphs with the same property. Try to characterize these ... | i | 92bfc8fbbab3c0dffb509aab451624f7 |
Here, {{formula:ebccfddd-58dd-453f-9c38-8c7b0f3163e8}} is the DNN model, and {{formula:5998b5a0-f37e-4836-8443-97fee40cf4e0}}
is an allowable perturbation set with radius {{formula:5f2cf31d-b6fe-44d4-9246-2fb5bf544e0a}} as measured by the metric {{formula:5605d746-22cc-4378-8a8a-d07590dc93c3}} .
Early works assume ... | i | d23a8c0da3c45d545186a54a1641f5e3 |
Our method is slightly worse than FEAT and CAN in some cases. For example, when using ResNet-12 as backbone, ours achieves 0.5% less than FEAT for 5-way 5-shot tasks on miniImageNet. However, comparing with 55,041KB parameters in FEAT, ours has 31,454KB. Even with less few parameters, it can still achieve comparable pe... | r | fe8014c305d72f05d2d91c4a32884e44 |
It is interesting to see that simply by employing the proposed deep features in an algorithm similar to that of Foote {{cite:2b862df9b9a96eeb472d800b062822efac083733}}, such a method becomes competitive with the state of the art in unsupervised music segmentation. Furthermore, on the SALAMI-IA dataset, a significant pe... | r | 6a8cd573818a2e2e272a7e2a9b2287d2 |
Effective robustness. Our results in Figure REF show that that ensembles of neural networks are not effectively robust: they do not provide an improvement to robustness that cannot be explained by in distribution performance. This observation is in line with others that have seen that effective robustness is in effect... | d | 8d4dbdccd04040fcc69f2f88c1a7cc24 |
It has become apparent that many of the equations governing massless fields on black hole spacetimes are of Heun type (in cases where the cosmological constant is non-zero), or one of its many confluent variants, such as for non-extreme Kerr {{cite:19243516ffa634c92b9f5336c64f2b3b8739cd4d}}, or the extreme case {{cite:... | d | 85107ec097008871c9754fbd82ec923f |
For experiments, we have performed data extraction using tensor fields on bar charts and scatter plots, as well as on histograms, as a special case of bar charts. We have used three sets of data for our experiments. The dataset descriptions are available at the project GitHub webpagehttps://github.com/GVCL/Tensor-field... | r | 5bf1bf4e9c433e5890dfaf66dbdb1e60 |
The dynamic
moments of inertia for the four HD bands in each of these nuclei are compared with
the one of the [1,2] configuration in {{formula:7671d1bb-993b-4666-ba73-0aecb6995a28}} Xe in Fig. REF . The
difference between the dynamic moments of inertia of the configurations in nuclei
with masses {{formula:52c258b4-dd64... | m | 6e4f68221ace21f6123e0509b3ca42b2 |
As the scale of deep learning models continues to grow, it may have been taken for granted that increasing model size is necessary and possibly even sufficient for obtaining ever-improving performance.
However, historically the futuristic picture for large scale DNNs had not been entirely optimistic.
For example, Geman... | d | d7444f8fd16e7ef9b7651ec29fc4f064 |
We adopted the binned Cash statistic {{cite:969f3dde5a66201f14754232838c4be6c30de712}} to fit model to the data.
There is a chance that a null number of bursts is extracted for a given source. In this case, the simulation cannot reproduce the
observed number of flares. So, for each source, the probability to observe a ... | m | 0ada943cfd47879222fbce35ccae3af3 |
There has been recent interesting progress in the understanding of non-relativistic strong gravity {{cite:8e0cad9fb51e78ba0fbbe589b315daea396c9cee}}, where non-relativistic black hole solutions have been discussed. Building on the initial proposal of a non-relativistic limit of AdS/CFT, one could put our results in con... | d | 87f723f704a206a9cbcc8e72fbbf8ea9 |
The first one is the original Seiberg S-confining theoryBefore {{cite:7959c8184e2fca5e3fe1d179143b9510914ca829}}, it has been already remarked in {{cite:bbc888b5aba13a73590d1a52f25cdcac93415b2b}} that the 't Hooft anomalies were matched by the mesons and baryons but the confining superpotential was not found. {{cite:79... | m | efae050a3ccd9a847cf0a98769c27ea9 |
The evidence for high-energy neutrinos from space in the IceCube experiment {{cite:b578c00fc5e31b9350bc0faa19d4242c05bef60c}} has opened a new window into the Universe from the perspective of a different messenger. While the origin of these neutrinos is still debated, it seems unlikely that a single class of convention... | i | 9be1b1da9aaf7306b3be574bb8d8c003 |
As presented in Table REF , ablation studies are conducted to evaluate the effectiveness of different model components of Spatial-DCCRN, including a) Spatial-DCCRN without AFE and MMF (Spatial-DCCRN{{formula:d7cc31b0-c855-405b-83aa-2660304b8a92}} ), b) Spatial-DCCRN without AFE, c) Spatial-DCCRN without MMF, d) differe... | r | 9c9481b2f46cff733d66760b9ed3e06a |
To fill this gap, we have developed a taxonomy of empathetic listener intents by manually annotating around 500 utterances of the EmpatheticDialogues dataset {{cite:c657bfbcd5090da9964bb123214af1d58a4357be}}, covering 32 types of emotion categories. In the following, we first describe in detail how this taxonomy was de... | i | 42b95cd71437e67bc1bbf6d3346f925f |
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