text stringlengths 54 548k | label stringclasses 4
values | id_ stringlengths 32 32 |
|---|---|---|
{{formula:ff0192fa-f03d-4066-89a0-ef4c903b6589}} and {{formula:9d01e47c-f165-4288-92d2-f206a5dd6b5a}} being the Laplacian and the divergence associated with the measure {{formula:6faef50e-66e0-41df-be20-8e9092a990d8}} . This is result was demonstrated also by Otto {{cite:e42a6d1980ed6a8523695b5ca493a1a93106b84d}} in ... | i | e336ce022d983382bffa0f8ff5f3d977 |
For our next extension of the Friedgut–Kalai Theorem, we need the
notion of {{formula:6027db01-dc62-4c81-be7e-a68e62635e37}}-regularity, (see
O'Donnell {{cite:7e4af7a952500071b1042bd66d432794eeda67ef}} for more about this notion).
Let {{formula:7c3050e4-bd96-4a91-bbaf-2396d86d65cc}} be a subset of {{formula:eb80fad5-5... | r | bc56adaa219d76458299f259c995cbaf |
A related idea is that strings and black holes can transition into each other under certain circumstances {{cite:9a696f6b34ff54260cc1cfe00d74cc875791de78}}, {{cite:be8ed4a92500e36c292427d856af40a616307590}}. The arguments supporting the possibility of such a transition rely on comparing the entropy, temperature and sca... | i | f4783efe5389161aab93b31a598eeba5 |
First, we show that the IPF sequence is well-defined. Note that {{formula:0a5f249b-2674-4a1b-aad7-34b86cac3f96}} is
well-defined since {{formula:c8395365-8904-4e04-be7b-cdb75497ddb1}} . Assume that
{{formula:ba2add39-be49-4300-9d72-d7ace638eeb0}} is well-defined. Using {{cite:42a53b61876c671545d48a4ce210639f7d880bf8}... | r | fc44d9a3719098bc5c589883eca1bd06 |
Before analysing the magnetoresistance of Ca{{formula:e27ee2de-c90c-45a7-b6a1-da2253d2ffe2}} Ru{{formula:f81288a8-47b1-4b6f-8c84-dc3309150967}} O{{formula:6017cee1-0abd-400e-8cd8-48980c03d658}} , we start by illustrating the use of the aforementioned solution properties. In doing so, we consider results obtained on hol... | d | 4022ff945518d952822857b1454b7b2a |
Refs. {{cite:92f0439e22d92d8fa4b7a349806708ba58c74d76}}, {{cite:0698948f57861b843fb200867246a43b0932be3b}} have also argued for an analogy between {{formula:fbf50239-8cc1-4d71-8a99-b74531870cde}} and {{formula:ec2dd0ff-baa6-449a-a53f-8c09d40a5bcb}} (as {{formula:c7f1cd6f-684c-450b-b876-5c5961d6f6e2}} molecules), and... | i | e06dfb47b14863533805e73a2795a632 |
The solution of the sub-problem (REF ) requires iterative optimization algorithms like the ones discussed in sec:iterativeoptimization with the significant difference that the model function can cheaply be evaluated.
Importantly, these sub-problems are usually solved concerning a sufficient decrease condition.
If such ... | m | c55890a8624c9b73ea5a572d069d70f5 |
Stochastic cargo binding simulations were implemented in MATLAB using the Gillespie algorithm {{cite:01664bc9c60ae3c74c62556c385181e45237a12f}}, {{cite:6527d7930cba6bf8f2f18b170a1e5b11a4f50ec6}} to probe the system state in continuous time (see Supplementary Methods). Molecular dynamics simulations were also implemente... | m | e406a25c2b9df40be733f6f1dd56de7c |
Considering the prior distribution of latent space {{formula:d10ec1d2-7dd7-4316-ab4a-3b14aaf3a18f}} be a multivariate Gaussian, then the series of invertible bijective transformations with parameters {{formula:73a8d297-fbdb-4fd9-b558-f82cb7723e70}} can transform the posterior {{formula:5ccf1489-3520-4a81-a17e-993d335... | i | 6291fa06d413447c7c08bcf34de1ec32 |
Indeed, while {{formula:63f3446c-d2fe-403c-be8b-1a08d8f63cb1}} designates approximately the actual size of the shadow, {{formula:ebec2327-5596-4390-a20c-cb5a0ffcc7e9}} connotes the shadow deformation from the circular reference circle. These observables are defined as {{cite:2c9d34e3284c0a939b0baece51415f4e556fca9f}}... | m | dcc7ec9ebb7091ffd69169af9cd785bc |
Our model consists of a ResNet50 variant of Arcface {{cite:680a84b5a4554f957f3bdeae0d3564351c6c2ff8}}, pre-trained with 17 million human face datasets {{cite:611a880bab7daa52cd5046a44c9301521afed9a8}}, as backbone, of which the last batch normalisation layer is connected to a fully connected layer to predict built year... | m | c6b9034c1fab7d24737bb0e300a42d2a |
In spite of some conceptual issues {{cite:fd29579e3d8cca7d979655252cb82c19049b0934}}, {{cite:074cac6d71018a2a6cee35d1b67866230871ddab}},
the null geodesic tunnelling method has captured some essential features of the Hawking radiation,
and can still be used to derive the black hole temperature.
For recent applications,... | m | 33254ed9cb3201d2227faadaca60af46 |
It may be instructive to compare the results of the discrete self-similar critical collapse (Choptuik solution) with those of the continuous one (Roberts solution). In the Roberts solution, the spacetime at the center is not conformally flat {{cite:0df485f70e93be6393e90986f0a17d85a25e382e}}. Moreover, in the {{formula:... | r | 5dcc6c50ed06163c9271aefe36be23da |
Limitations.
Flash-Cosmos has two key limitations that also commonly exist in other PuM solutions.
First, like ParaBit and other PuM proposals (e.g., {{cite:7d6930dbd1db92e2f2153c594e5e8abbab1c905d}}, {{cite:eb5bfe875b713439bd1b28c463632999dfff9370}}, {{cite:75def2e337dc2237da49393987b4a01b406f9a67}}, {{cite:122c48234... | d | 5483ab44bdc9a1e732830382e1c8e5be |
Calculation of transport properties. The transport properties of small lattices ({{formula:7e3852f7-ad84-4ba4-9e54-cf50f3d8e76d}} ) was obtained exactly by diagonalizing the full Lindblad superoperator, written as a {{formula:3f60bd59-90c1-407f-bbc3-e93a82516c5a}} matrix. The NESS is the eigenstate with zero eigenvalu... | m | 068d9be97a37d99609a5ea45daf8464c |
In order to evaluate the second criterion of Section REF , state separability, we plot a t-SNE visualization {{cite:cb212a2f4377c0accf5a25c7f2338fffed92177a}} of the state embedding, i.e. of the features after the second hidden layer.
Since t-SNE captures correlations between descriptive variables but not correlations ... | r | a0feb56fd09f76559905fcfb9966b0bf |
The second result {{formula:5d02bde1-d660-4270-9b70-253dfb00f053}} states that the Strong Minimal Mass Assumption A3 cannot be skipped for uniform consistency rates and no compactly supported densities. This is in line with the former studies of {{cite:7af0d1018f7592870dbdd56aca5a8bd2818fe5b8}} and {{cite:085f6... | r | 9a99cc20dc6e02e6d8ec591a59e7c400 |
The theory parameters are determined in {{cite:db523b85cd6b66d1aecbb2753ac2b6e980ab4554}} from the condition of agreement of calculated characteristics with experimental data for temperature dependences of spontaneous polarization {{formula:ea7427bc-6c98-4b17-a769-0b7852c41619}} and dielectric permittivity {{formula:2... | r | 8fe40a72c1030a6ef11502d8ce51484e |
The pulse area dependence of the exciton quantum state is rather
obvious, when considering the dynamics during the interaction with
the laser field, i.e., Rabi oscillations take place. When keeping
{{formula:b762454b-23b4-4c71-bf35-be989ce32bb9}} fixed and increasing {{formula:3d1fff35-d79b-435f-9ac0-1e83eb9a0f5b}} a... | r | 1ad0245a4d7c343390ef2bd08165a8c4 |
For a general CM elliptic curve {{formula:3c6235c3-ed39-47a5-8413-16a258e83efa}} , one cannot reduce the Lang–Trotter
conjecture for {{formula:962a0585-cb3d-485d-8073-3641db78ebe6}} to the Hardy–Littlewood conjecture
for a single quadratic polynomial. One would need many
quadratic polynomials in some sense. This part ... | r | c78a5803947063dd6d755198a4cc2a43 |
Proof:
By Theorem REF , there are two continuous bifurcation curves {{formula:0589320e-a8dd-408a-91ce-f8abde452bea}} of solutions of (REF ) such that
{{formula:e2abeae1-fbd3-4d77-b3f5-5ca63f3d3a9d}}
for some {{formula:6001308a-b764-4dca-bbd0-68a068b19eae}} . From (REF ) and (REF ), it is clear that for each {{formul... | r | b80a02f3ec18a5a87de9e6b72cae1d09 |
For the purposes of ML model training, patient outcomes are often defined based on laboratory/diagnostic test results extracted from the electronic health record (EHR; e.g. {{cite:e4116831e82c8f7ee16de61207b62d4ae414617d}}, {{cite:01a93e6d14d923d539aae43a3475e18e8a8acac4}}, {{cite:2726008531727d60030dbe5ac27c898f07006b... | i | 39b790707240efa1c11496758bc30a7d |
Note that for all {{formula:79e8c5c0-504d-42c3-b7ae-bdd2d1b314fb}} , the second order partial derivative of the functional {{formula:d0e399e5-c745-43a2-b0cd-bc07760acfa5}} satisfies
{{formula:28fce786-7a25-4db7-a934-5d275a6b19a6}}
which shows the optimization objective is convex. Moreover, since {{formula:b0aa3c6d-6e... | m | 57d22697b40d926d7968e231fa7fbaf4 |
For the PB calculation with MG5aMC+CA3(Z+1)NLO, we set {{formula:94abc278-b82c-4c4d-9b84-fe57f7c12ef3}} GeV, {{formula:1d4f6b67-0853-4f05-b86d-c6798131ea9a}} GeV, {{formula:1f0a22a7-7f32-42d3-90ed-e657f687e720}} and {{formula:13e1be14-b2c5-44dd-af9a-d92adce81dcd}} , where the sum runs over all particles and parton i... | r | e364af3e167c08f37f5435c8a796156b |
Finally, in the hate dataset the interleaved model is able to reach an AUC of 0.92. It is the only case where the precision and recall is similar to baseline, the one presented in {{cite:2caddf6510faf26fd13de9e4c33cce8191ed7174}}, but our AUC and accuracy scores still outperform this baseline. This is due to the fact ... | r | 9b68f2af6a2c3d58f57a5fe198b17679 |
A foundational principle here is that exploiting subgraphs confers graph classifications models with both the ability to fit the training data and extrapolate to graphs generated from a different environment. As detailed in Section REF , this insight follows from the Aldous-Hoover representation exchangeable distributi... | m | 4bd61510a28b42fd6d9a24d04c8181ca |
Figure REF shows sample results by VisDB and I2L-MeshNet {{cite:04e923a5249019cdfeb09e40ed10820953be887c}} on the 3DPW dataset {{cite:ebcb65b9a20110e9ff28d7469b96a4cbaf0634bc}}.
I2L-MeshNet {{cite:04e923a5249019cdfeb09e40ed10820953be887c}} regresses SMPL parameters from the entire heatmap-based mesh output, which lead... | r | baecf1c5043aa435f4033af5722bf2f2 |
When {{formula:3c935c8f-1314-43ab-89d3-27010012f358}} , then {{formula:db734ec2-8aaa-4719-8484-00dd299e082d}} is a trivial
solution of Eq. (REF ), but this vanishingly small
fraction of seeds cannot trigger global behavior adoption because
{{formula:6f43abaf-5bdc-4b0e-a247-92d41455537e}} {{cite:902079d9d872bd25202056... | m | c34de6cd801bcab65f61ef7f4c45c1ce |
A desirable interactive segmentation tool should 1) achieve accurate segmentation results with as few user inputs as possible, leading to reduced burdens on the user; 2) have high efficiency so that the user can get real-time response, even when dealing with volumetric data; 3) generalize well to different objects so t... | i | d01207dc3d559bf28965d735f7527126 |
The location of the center of 'island of stability' and hence the next magic
number for proton beyond {{formula:288915e7-b5ea-4376-950f-2cc1a3aecf4f}} Pb (Z = 82, N = 126) in superheavy mass
region is debated since the prediction of the existence of long-lived
superheavy nuclei in sixties by {{cite:15247be6913bdce0ee7d... | i | 0be0e8f58ae508ae2d1658af216a323d |
Recently, many studies have focused on leveraging the rapid advances in ml techniques and availability of data (e.g., high-quality observations) to develop more accurate models.
Several main approaches that best fit different applications have been pursued, including learning fully data-driven (equation-free) models {{... | i | 93b00295ea9abc3db6a7f983c0516c36 |
We simulate our model on a two-dimensional lattice, with global mixing. We implement mixing by allowing individuals to exchange places within the network at rate {{formula:9337d648-9ffd-45e4-a518-08474bcecfd7}} (relative to the update rate). The importance of mixing in sociological and ecological studies has been demo... | i | 91e9c2d992dd442c74142468f2320183 |
{{cite:5cf9bebff653751a13fda5eda7c26a2c7a28df91}} proposed a combination of deformable-model based method for the segmentation of prostate and bladder. The method is performed with different shape assumptions for the two organs.
{{cite:8d0024998ea7a284f6e0f951aa47de78087d8daa}} introduced a deformable model-based seg... | m | ab3cd902c344c436bc43c86e47bb7792 |
From Tables REF and REF , the superior performance of the proposed scheme for both, coarse shape-based and fine point-wise correspondence estimation tasks is evident. While the proposed scheme clearly outperforms traditional feature matching-based methods, it also outperforms recent shape-based methods {{cite:f4a7a89... | d | b28a4dc92a8a83755665464883d011a2 |
Standard arguments that relate unbiased random walk models on domains with absorbing boundary conditions can be used to show that the mean exit time is given by the solution of a linear ellipse partial differential equation {{cite:e4d3b1848348960ae78b7f20c59560eaa3ad6362}}, {{cite:297a158bed223d49a60e30a8cfe9b4bfbaa821... | r | 2cad65947cc1d97f734edfd61ab999ed |
Interacting particle systems: PushASEP, ASEP, {{formula:2d0c3620-48bc-46be-931e-21ea907ebf7a}} -TASEP, {{formula:e29961cd-947c-45ff-8b1f-c2dff0fb572d}} -Hahn ASEP {{cite:d40a2a71c08d5ab52eaa533d53be8b083214f12e}}, {{cite:e66eba688d938c5f28e4d598a2f74ed61db180d7}}, {{cite:c5b630e6f572fa224f0c8393d0ee7baf0e5463c2}}, {{c... | m | 22b5c735d2b120a813ece816c3d7e2a4 |
This work explores the problem of visual non-prehensile planar manipulation, reconciling tools from model-based mechanics with deep learning. Our proposed Differentiable Learning for Manipulation (DLM) approach: (i) encodes the input video {{formula:9ab8ba2d-182c-49ee-bf8d-4187db9198ae}} in a latent vector {{formula:5... | d | 29f1a061bd0eaab99e9da3a5ea492143 |
In this section, we analyse a technical defect observed in two representative GCL methods, DGI {{cite:7b8e6ae3a952f0108b1e43ec16d4069a076464b1}} and MVGRL {{cite:e8c35c517a2d62d8fe09f2b3ce718c260aed8d5c}}. Then, based on the technical defect, we show the learning method behind these two approaches is not contributed to... | m | bff50b8b4856c5600d3907ecf014924e |
Lemma 1.2 ({{cite:ea7283196cf64326225bfa27c2358d256ac49145}})
If {{formula:d30f6bc1-8c78-4d6e-860f-781fcbaecdea}} is a GCM of finite, affine or hyperbolic type, then
{{formula:c00228cb-ed11-4a71-a9af-97d6a7da52ac}}
| i | b130ca2140ddcfaca8b2f633b06e80e0 |
Multi-modal vertical recommendations. Pinterest has 3 main surfaces (Figure REF ) that provide personalized recommendations: (1) in the Home surface, users are provided with recommendations based on their past activity, (2) in the Closeup surface, we provide similar recommendations to a pin the user is currently viewin... | i | c162fb7cefd3847b20e28a27088a883d |
The rehearsal strategy stores data from previously learned tasks with a memory buffer and interleaves them with the training data of the current task to jointly train the model, as shown in Figure REF (a). Incremental classifier and representation learning (iCaRL) {{cite:dd22c15b825b388812cb4aa09dde3c9d942a7830}} is a... | m | 30e15bd2b67d48b67d664003efaafc2a |
The particle phase is described in the Lagrangian frame. The motion of the {{formula:fb047756-ac57-432d-9379-971aca3d9a95}} -th particle is given by {{cite:e8c3128e3ecfe471ed250fc558a69190fa6d79b8}}
{{formula:83befe21-ee12-4af6-91a5-e811ecc1711c}}
| m | 3f6685f37bf9a9bc0c91cadd5ce51405 |
Boundary correlators in AdS: There has been a lot of activity about computing and studying loop-level correlators {{cite:ff1c1b579e20fa62a7c3539a4b4b32f1c2c3a98b}}, {{cite:4a67dc3a3ffcf8fcd17442e6a5e0ac30753db7a1}}, {{cite:86dad2f2c8ea1e39eff71460df9c7986ce3607cc}}, {{cite:eb92923fba597d8b30b12a760ba2cb87fad2caea}}, {{... | i | 3bce488470b9fc037fe3810a4b441185 |
Recently, with state-of-art performance, deep learning methods have dominated the field of image processing. However, deep learning methods require a massive amount of well-labeled training data, and the majority of deep leaning methods are sensitive to the domain shift. Therefore, transfer learning (TL) has been intro... | i | 4da3ebc6249c12b5a1bd4e62debc0d81 |
in agreement with our sketch. The theory at {{formula:5d54a61b-038a-4ca5-b8ec-516fe0c4b861}} should instead be described by a complex CFT {{cite:353888da350e3c2123427b8e7576bd1bde4a6a5e}}, {{cite:4787a9ca41dc32aa55adb23ec68428e1cdf79a3e}}. The same features present themselves in all of the figures in this section, exc... | d | c6aebf191e4592ae5c4b1f36bee70002 |
The approach of mathematicians is to consider the real Jacobi group {{formula:e31f3524-cd02-4639-a783-4168a920aa2b}}
as subgroup of {{formula:f215f551-e1fc-4f67-986c-0bd41f1d6f61}} . In the present paper
we follow the notation in {{cite:98a797d249a1a19d09f6d2b7d10ff7dbf8c7e31c}}, {{cite:3d08fa63dfe05b47ab2386699c160d8... | i | c71bbf299ce4f688f545a8988889964d |
Recent progress in engineered materials with novel electromagnetic properties is paving the way for technological advances on several fronts, ranging from non-reciprocal devices {{cite:cfc5da78cff383fdca68723873086c7f6a7653de}}, {{cite:890460042f1d7cff0cac690b2e5f2933870026a2}}, {{cite:c36589de721263937f1885b245b652282... | i | bd96ce2019c82bce30bed174b5a7c366 |
As the case of periodic solutions with prescribed periods near an equilibruim (cf. {{cite:710b30ad3eb676eaacbdc5c069a1d7d8fc90604b}} and {{cite:918921b57abed338fcbba77fae6b246c19e90122}})
we can derive from Theorem REF :
| r | 874bb1a5357b0d89694de6eca19d6520 |
The Krawczyk method {{cite:1266557729313d45ba71c7a55dee7b2da277cc5d}} is a known algorithm to generate increasingly precise element-wise interval enclosures of solutions of linear systems of equations {{formula:8c1a4f67-b5fd-4c39-a0ad-7624200f4132}} , where {{formula:124dbeb6-35b1-4fc6-8724-8c1a7a64919e}} is an {{form... | m | 2ad7b6df8f0678ffbfc213c05baf2761 |
By previous results on eigenvalue concentration (e.g. {{cite:3ef815d7cba5fd0484e3e3134b925c98a989c745}}, {{cite:18ffdb2c563dfaa2c4b995f7fdc44e9b71a218ae}}, {{cite:51dbcc612b17d4864823990cd5c2a603d45a430c}}), we have that
{{formula:79acef25-238e-4460-bce4-e8a7234cc6fd}}
| d | 36af10a4afcdf769937338997e4fdd3e |
The property of dense nuclear matter is crucial to the study of many phenomena in heaven, such as that relevant to neutron stars and supernova {{cite:c234291c426212f96356803b67ca37b201fe6116}}, {{cite:f0b82db3afb58ce4a80de9491898be2561d55f86}}. The property or stiffness of dense nuclear matter is also crucial for study... | r | 267053a16dc8c298cda803b4de0ea4e8 |
One of the first mathematical models that was used to study the spread of viruses in communities is the susceptible-infected-removed (SIR) model. In particular, Kermack and McKendrick {{cite:d4e1b527f0ab297e9ce831a662f27406990961f0}} presented in 1927 one of the first models to forecast an epidemic. According to their ... | i | 1f5d56c2d5cd1304d8e9bbc9ec349c81 |
As discussed in Section , human annotation of the semantic variables faces the scalability problem when applied to large-scale conversation data (e.g., over 3.3M utterances in our dataset). To address this challenge, we provide a preliminary attempt by using automatic annotation with a careful selection of training dat... | d | 1dca0ee7b85c81fa3c07e77b0645941b |
There are many directions for future numerical studies of black bubbles.
The most crucial would be to relax spherical symmetry to explore
stability to non-radial perturbations, and if stable, accretion of angular momentum
to uncover the rotating solutions. The fact that the bubble surface
is within the photon sphere of... | d | 77b50da2212b529cb84b7b43f5e71ae1 |
The dilute atomic gas is amenable to a systematic analysis mainly because of the length scale separation inherent to this system {{cite:96e85938a60377a920b7ae9018b833e4d585da27}}. The following length scales are involved in this problem: (i) The low-energy scattering length, {{formula:465377b3-b3ba-401d-96aa-eaaec58899... | i | 8d49d55fb29afd3e950d010aa185b142 |
The current result may be extended in several directions.
First, for manifold with smooth boundary,
the random-walk graph Laplacian recovers the Neumann Laplacian {{cite:7e710d452278661cb50e4b1bc943e9e1e8078ff8}},
and one can expect to prove the spectral convergence as well, such as in {{cite:5587ee43d6b6168c127ca974a9... | d | 8d293b2ae73ad678d8d500e2feebdda8 |
Navigation and collision avoidance are fundamental capabilities for mobile robots, and state estimation and path planning, which are integral to such capabilities, have undergone much development. Deep reinforcement learning (RL) is another method for realizing these capabilities, where robots learn to solve problems t... | i | efb9bd5e6d37af42e89f54abbcd83f44 |
Iosevich and Rudnev proved in {{cite:367d1e502cee89bc14be1fd5d7a35bd553937d31}} that {{formula:d31534db-295c-4569-917e-fa0514461d7c}} . They also showed that the exponent {{formula:1c99c36f-dd4b-4230-abbe-db89e2fc043b}} is sharp in odd dimensions. In even dimensions, it is also conjectured that the right exponent shou... | i | 5760e4ec4f4a10f2ba470e556f181260 |
The modulation spaces {{formula:6adbb4e6-94c4-4074-a19d-68dd4b2842be}} are one of the function spaces introduced by Feichtinger {{cite:58072fcf2c0f438dc985cb37dff5e4dc04522774}} in the 1980s using the short-time Fourier transform to measure the decay and the regularity of the function in a different way from the usual... | i | 314640731b8f495fe521c2f7bc13b0fb |
In this section, we focus on assessing the pre-training performances with cross-modal retrieval tasks, in both zero-shot and fine-tuned settings {{cite:c7acdc4046167b921c421550a541656f5a70eb3d}}, {{cite:2a5cd5dd226df75e8b7d4c711a75dbd76087faa5}}. We name our method as “ZeroVL”, where “Zero” means the motivation for des... | m | 25b3838ac77a2c815a6ef79777a3b763 |
{{cite:de8a76db8ad64c4deb1d17e5cf7b5d3d2b77d8c8}} famously made a distinction between two very different cultures for data analysis, contrasting statistical modeling with machine learning. Whereas machine learning is optimized for obtaining precise predictions that can be profitably put to use in industry, statistical ... | d | adfd3cbbe870a8a1efb0cce7b45831ef |
Several DNN-related algorithms have been proposed for automatic music tagging too. In {{cite:7359e7233e1651bf027cf7712d676e6b13e5bdd6}} and {{cite:4b9bf269f9445fbac98aeeac55177ed7a28c6a61}}, spherical k-means and multi-layer perceptrons are used as feature extractor and classifier respectively. Multi-resolution spectro... | i | d3df4432bc1e69ace47ff6d357b600cc |
Remark 1
Assumptions of this type are generally essential for the theoretical analysis of Q-learning. An assumption equivalent to assumption REF , of a 'covering time', a constant time window in which all state-action pairs are visited, was also assumed in proving the convergence rate of Q-learning {{cite:177b27fc8546... | r | 0c99286d799f8c1f1a59b0ead20118fd |
We mention that our work do not calculate all the lens configurations in the spacetime.
If a light source is at the different side of the wormhole throat,
images are formed inside of the throat.
In this case, one may use an exact lens equation investigated by Perlick {{cite:d31d74d22b8b229e0e372fa88a7d3aacf4f24dd7}}, {... | d | 571f4d8465b31900feacf10378f4ccf9 |
Since the bonds in all these systems are weak, and consist of a mixture of covalent and
van der Waals bonding mechanisms, first principles calculations tend to be quite involved
and highly sensitive to basis sets, degree of correlation included, nature of approximations, and other factors. Density Functional Theory (DF... | m | a56e9e57947c7579fd59c49f4043cd8c |
The success of our proposed shared autonomy approach can be attributable to three main factors: (i) domain randomization, (ii) simulated user modeling and (iii) training efficiency. Transferring models trained purely in simulation must pass the simulation-to-reality gap, where visual perception accounts for the most si... | d | c6dad241dbe1084ffb90fdf3d806851d |
Noteworthy is the fact that insights for asymmetric Hi profiles
along a ring-like structure as caused by the warped gas orbits has been reported in {{cite:ef7ae0f5e57d0a9f7e7d69a2bff4e73a0800bb78}}.
The location of that ring-like structure found by {{cite:ef7ae0f5e57d0a9f7e7d69a2bff4e73a0800bb78}} corresponds with that... | r | 52267f7bdd711048fc401b1aa6cf56ea |
Related Works:
Recently, several autonomous models are proposed/designed based on DL solutions to assist in the rapid diagnosis of COVID-19 from other types of respiratory infections {{cite:3d9d62bacaf627556d0d94ca6ac9cb0fdc8bb9a0}}, {{cite:c2add6c518e6c544d349c496cfb20242055a3b13}}, {{cite:3f7d70e8fe97a58f295d07efde54... | d | 03a3ae938e75d63c968588bd3c51f2a1 |
We collect {{formula:c6ad62e2-63de-450f-9a28-8510febc3d79}} demonstration trajectories on three Mujoco {{cite:5e6cf5193a9990e4e99ec635ebc7c3d81691424f}} simulated environments: Hopper-v2, Walker2d-v2, and HalfCheetah-v2, using a SAC expert trained for 1M timestep, using {{formula:e77f4ce8-0c54-47d6-b8f2-7ed0690c1e15}}... | r | 7ab416279d16b63f315c83afd0f4724c |
Field-induced resistivity upturn in the XMR materials can be
explained by semiclassical multi-carrier model in systems obeying
modified Kohler's rule
{{formula:383fead3-74fb-4eff-b4f5-64d58f4f73e0}} {{cite:c8993e992c411a9832b6d2bfbe9cc6e66d4d5ea9}}, {{cite:73d8f0c8184aba517a64db8b944d1fa4f9717f9e}}. In case of
perfect... | r | fea3980de0d98cab355e2e83a309e77c |
This section presents numerical results to validate our analysis,
followed by discussions to shed new light on the performance of SCNs.
We use the following parameter values, {{formula:9ac4b76f-a07a-435f-bc1b-a02db19f5810}} , {{formula:4ff85b4d-6d66-482a-a2b7-87a225972ac8}}
, {{formula:5890028c-20dc-473a-a580-ba275e66... | d | 38d77896b3c56d4fc3fcbdc5af72fd81 |
A guide to the presentation of our results is the following. The various fitting analyses and contour plots under different conditions (to be discussed in detail in the next sections) are displayed in four fitting tables, Tables 1 and 3-5, and in seven figures, Figs. 1-7. The main numerical results of our analysis are ... | r | 06f2830140f59a0c37a40f1ec37358b8 |
Last but not least, in subsection REF we have implicitly assumed that there are local gauge invariant excitations in the island region and we want to extract information about them. In the gravitational system (FSC without Bath) as a gauge theory, in order to define a gauge invariant operator one needs a dressing proc... | d | 9e6605a15647ae605c2a61cbadaa5d3b |
Database: To validate the proposed PnP-PGD method for ECG CS recovery, we use a subset of the data from the Physionet MIT-BIH Arrhythmia Database {{cite:fcd702048e714c447bbfdc8d836965cd78577b1f}}, {{cite:d8597a775d2744dd819d1d49ed456a4a55b81bd7}}, {{cite:06e34e1432c472ff51161049f4714bd8f7aed642}}.
Every file in the dat... | r | 2ffc7e533f7752a202256445e3734c70 |
Detecting conspiracy theories is a complex problem to solve. Finding conspiracy requires identifying the sentence structure and its sentiment. As the language and structure of the sentences are very discrete in a different language, it is hard to detect and tokenize the word in the correct format {{cite:cfe80929f970a05... | m | 823b2f01827079c5b44e6617f9bb0282 |
Transformers {{cite:43a0acf0ee65bedfbf5b6c0b5213ea234d1505dd}}, {{cite:8ee31c189f07d58ccc546eecd566c5132148c375}} have recently made an attractive resurgence in the form of Vision Transformers (ViTs) {{cite:6742bd5751fe79fc65422abdb68acab297c6c8b2}}, showing strong versatility in NLP {{cite:a229b2cf0eb80f7fbcf07f68da87... | i | 61f1926d46470df901eb7ca7f71af1c5 |
In this section, we will discuss the importance of the paper by Reingold{{cite:b807a775b8808958796f2e559edb73be1db98184}} and some further research based on the paper.
| d | 387fefed4bf6ff290cf4f5aebb41a550 |
We validate the IF-MMIN on the Interactive Emotional Dyadic Motion Capture (IEMOCAP) dataset {{cite:179d16ed13574bb3b1586cb01c6258e88cba7bc7}}.
Following {{cite:806e606d21b30736e1b7d7476f1a2d1292600fe6}}, we process IEMOCAP emotional labels into four categories: happy, angry, sad, and neutral.
The splitting ratio of t... | r | 000ace09b00667c50c1def68387cfb8e |
In this work, we propose an alternative methodology for fitting SMMs to a time-series of system configuration measurements.
We observe that for a trajectory to have been generated by a given Lagrangian, the discrete Euler-Lagrange (DEL) equations must be zero along the trajectory {{cite:9d467fe885463b987f91bcae08cf579f... | i | 2c98a42b2be1f729e2b73d34d0e43a53 |
In AdS/CFT, wormholes provide the essential motivation for the idea of emergent spacetime. They are the geometric avatars of correlations in gravity. Motivated by the close connection between (bipartite) entanglement and wormholes {{cite:022dcfc12bbbd88fb5168307d5716769418617be}}, {{cite:c632c9ab5348316911fca5e83382542... | d | 786527dcf5667736b90b13b280076524 |
In recent years, the WENO scheme has been widely used in CFD and has continuously improved. Liu et al. {{cite:2ca05e91b4f6e31b96855e7ac6926642a9036b8d}} first proposed the idea of the WENO scheme, to assign a reasonable weight to each flux function involved in the essentially non-oscillation (ENO) scheme{{cite:10135267... | i | 364bbdd7ffb5be5bed5cec939173431c |
Since conservation laws have a very wide range of applications and it is almost impossible in general to
get their exact solutions, many scholars have explored and proposed a series of numerical methods and are still
trying to improve the performance of these algorithms.
In 1994, Liu et al. proposed the first finite vo... | i | 6eebda0b6c899174ede0affc726b2045 |
We first outline the training details and hyper-parameter settings. Later, for evaluation, we test using: (1) three shift-based perturbations, (2) three recent translation-based adversarial attacks {{cite:b9ee3697e8248a14951e795f015c1987c5e3774b}}, {{cite:65804c92ffe52114e979b2b657062d6d893fc89d}}, and (3) a range of c... | r | c20b44f892d001df5a923dfe5119e013 |
Fig. REF shows examples of retrieval results by the MS method {{cite:b685d47fa2508433083d7d193931d199dfb0a26a}} and our CBML method on the SOP, In-Shop, CUB, and Cars datasets. We select the MS method for comparison because it provides the original source code for the algorithm.
In each row, the first image is the que... | m | 26d491dd75150094aad26a2acda60a3e |
Our proposed approach is a two step process where we utilize the large pre-trained language model, specifically BERT {{cite:a79a58273f09f35e0e51235ceda391cb0c20bd9c}}. A default classification task using BERT is done by taking the utterance, {{formula:0afc2789-c530-4e73-a9e4-2ce1d73698cd}} in the tokenized form as the... | m | 337da69ec028d2929c0ed8829322c8d5 |
We also derived column densities for S-bearing molecules related to HC{{formula:e03c0f24-2978-462e-a819-81722d6a765b}} S{{formula:d7c09259-f594-45f5-8d76-2f12057a5109}} using our Q-band line survey of TMC-1.
The line parameters are given in Table REF . For CS and HCS{{formula:8058aad2-a9ee-431c-950e-e95e86800c22}} we... | r | ec5f06923c72afb3892b02a665de71a8 |
In this section, we present our experimental results and analysis.
First, we introduce the applied evaluation metrics in
Section REF . Second, the implementation details and
the experimental setup are given in Section REF .
Subsequently, a detailed parameter study is presented in Section
REF , in which we extensively r... | r | b90fef9d4d5c5f98ce468ad783508bf8 |
Taking into account our interest in noncommutative rings defined by endomorphisms, in this paper we will focus our attention on the study of ring-theoretical notions above for the skew polynomial rings (also known as Ore extensions) defined by Ore {{cite:4b37eb5f272a102eef6ca33b94dbfd7a8e69f206}}, and the skew PBW exte... | i | 6da17eb372d26cd1c5c56b720b8af0be |
Recently, there have been experimental observations that cannot be explained by the three-neutrino oscillation framework {{cite:e37c62a5e299940b67667726191c0ff54eb255ca}}, {{cite:bb63e4c07ed63b9c8ffe602f28b293ff12b9fce8}}, {{cite:2b94bba75ddaa8d868e9b845256e3d5479a2639e}}, {{cite:d626b2bea4fb77559391897ea51fb8a6f330d04... | i | 2e71fe9ee52aae05a4ac634ad3a9fa94 |
The optimal control approach is inspired by the success of fluid control algorithms. The variational problem is solved by the gradient decent method. As indicated in the survey paper {{cite:dacb640eca1cce808999b9540bf3c1b50f7d6a11}}, one could add a penalty term to {{formula:3c44d0ab-9cf3-471e-a8c6-52e76b146edc}} for ... | m | c4eda75e404808a9442a9345c96adb26 |
Latency Reduction as Form of Compression. SNNs with multiple timesteps are trained with BPTT {{cite:cb56d8d83e8a1660f318973f4dbeb21020daf36c}}, like RNNs. If we unroll SNNs in time, it becomes obvious that each timestep adds a hidden state to a spiking neuron. Thus, reducing latency compresses the SNNs in the temporal ... | m | 10201bd3fcb3b33a3f597ff32b650258 |
It is useful {{cite:2e932c0922913b16cbd9b4e06ca88eb7805c89f2}}, {{cite:a99f5d71ec38c6e7e4bdb68d45bd6ec91ead3fc6}}, {{cite:c13fa767cf4829ff0b081bc238e4e98e0a97c01a}}, {{cite:61f3e283b135b43197d84bb1e74f00630f3486e7}}, {{cite:a40334e84200234ad9034bd4076814be768fb370}}, {{cite:7bcfd30b396443a63cdd1842a5d04e46214bf7d8}}, {... | i | cbbe93b632b6f75ac65a055ee7a47d46 |
Albert (short for “A lite BERT architecture”) {{cite:f43a920dcf3b342e46a50d4e341af4e59bf178b9}} reduces the number of parameters, compared to BERT and Roberta, significantly. It uses two parameter reduction techniques. First, it decomposes the vocabulary embedding matrix into two smaller matrices. Second, it shares par... | m | 8200bcc45ff91e0b9b9b48dc95b5e6f4 |
Theorem 1.1 {{cite:ca1716cb1c9c3c3528edd71b6a44ac8e2500cd1c}}
Let {{formula:73f2e37b-4eee-42d1-ad39-b03e1df16045}} and {{formula:2f6bcfa6-a2b0-4223-8394-d2aa39a6162f}} and {{formula:cc4dfd27-4a47-44ff-ad87-cc195d8cf7ad}} . For any {{formula:6d949b2c-1c04-4ca2-90f7-03e9354b31d6}} , we have
{{formula:0294a1a2-43b9-424... | r | 371b253011bbfda6e4c01cb1f8c51864 |
Strong inductive biases towards abstract structure allow humans to generalize to novel environments without much experience {{cite:ba97641202e74f053301e516ae85646a7983343d}}. By instilling these biases in our artificial agents, we can work towards enabling machines to demonstrate human-like general intelligence.
| d | 645bdfbe31755740cbffd850c9eae590 |
We show the efficacy of proposed StatDEC by comparing our results with unsupervised DEC {{cite:259c6308f218c876a3343e598eae564ebb25c285}}, IDEC {{cite:6a61a5ab933572840c25d34e4de3e4af01dc66b6}}, and VDEC {{cite:c385eee3267b065e3a8a5849d1e940144abd81aa}}. These methods can be viewed as a variant of our method when the r... | m | f294756c8f6264dacd48bafd517d5769 |
The advancement of semiconductor industry has enabled rapid development of AI and deep learning technologies,
which in turn offers great opportunities for novel chip design methodology, enabling faster design turn-around-time, better PPA (power, performance and area) and higher yield {{cite:8e959e49da5ebf3575dca79898c4... | i | 516bb9ffd79d27b352a8e65a1f5ad5e6 |
The strongest machine learning methods in this study were convolutional and/or recurrent neural nets (CNNs, RNNs, or CRNNs), as has been observed in other domains .
In order to ensure methods could work in conditions different from those in the training data,
various participants explored self-adaptation, in which a tr... | d | 077a0db36ee8752b699103e9e75ae336 |
Strongly Supervised (SS): We apply the standard concept drift detection procedure which assumes that all the true labels are immediately available after making a prediction. This can be regarded as the gold standard. The term strong means refers to the fact that all labels are available during testing {{cite:cb50f61e6... | m | 3ba3ce30fb2948b68e4918897b87376d |
We compare PALT with the following KG completion models.
(i) task-specific models (designed for KG completion): TransE {{cite:471c2b965ca41cd9b2c8a924a01ace56c728705e}},
TransH {{cite:6d513ecca1f38cb30a3e0eab1d3f71d91d2a4e1d}},
TransR {{cite:e4a265d328415de4b6b00622fa407fda275d0c3c}},
TransD {{cite:af6ddc4302958d8a3c4d... | m | 226d5a18a67d8cc952f5fd35f93b57c5 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.