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As discussed above, past works have established universal consistency for the set of all processes {{formula:7e57ea6a-a807-4d3d-bed5-4d68ac406cce}} that are stationary and ergodic
{{cite:5e2d2ddf2015e35ad6d4a862d80544b57768c779}}, {{cite:4d314566a5ad909c671061691d9c4ff46641274a}}, {{cite:dd6a65c9e9920542d8f54415e11d4e... | r | 3697c3954545b72b36c5461829d2a1ce |
The NEGF formalism {{cite:b929ef282c45a0715502ca4be72e506adde1a0ca}}, {{cite:aaa2476c8652a59e090df6f14eaac1f469f97904}} is a sophisticated framework for obtaining the transmission and other quantities in realistic devices.
The retarded Green's function in the atomic orbital basis is given by
{{formula:01230398-ff9c-4ba... | m | e0d7b0da74c6a6a76db41d18ad5f4432 |
First of all, we divide each image pair {{formula:76e8a087-72e6-4b6a-8b12-c70d27b6442f}} that is captured by the same device from RealSR {{cite:3510f454aba2ec73b89ab0afa01d6e48efe44412}} into {{formula:56c962da-8d8a-4713-9599-679dd2d24516}} pairs of overlapping patches {{formula:d3364e06-cfa4-428d-9a49-b8f158a7a099}}... | m | 0388cddffb1d2ffca98f8011e7f23b20 |
Where {{formula:a76585fd-2078-4768-8857-db5607c04e71}} and {{formula:d719c6b8-2726-45f1-a756-e563d9063544}} are the rms radii for the neutron and proton distribution respectively. The addition of {{formula:8b6b0a2c-5197-4ece-9023-48181144099b}} cross-coupling into the Lagrangian density constrains the NST of finite ... | r | 0b675fccc4c30a5d88c1eecc88d8073f |
Notice that for the limiting case {{formula:3eccdcec-ccc8-4a6a-ad01-58b140efc868}} , Eq. (REF ) recovers the result {{formula:36138716-4b07-4382-9664-57e54a2bd335}} obtained in Ref. {{cite:2429b62754b6414a5b01b571e54136053699227d}}. The behavior of Eq. (REF ) is typical of first-order phase transitions, as observed fo... | r | 05ebeafa94e82d44d18e739124dc5322 |
where {{formula:24456b7a-61f4-46e4-ad7d-ba0ebe8511a7}} is the blur kernel applied on {{formula:b450ad06-81fc-4d21-859f-cad760641cab}} , {{formula:88a4a744-ff29-474b-b8c6-c4ffb5df156f}} denotes convolution operation and {{formula:8eb4a12d-eee1-4ca0-b3d4-fd084cd3b4fe}} denotes downsampling with scale factor {{formula:... | i | dc59de0f4843f03a91b9d0d6342ebb66 |
Recently, the study of network science has proliferated in research fields such as social science, biology, and data science, where it has offered new insights through studying network data from a graph's perspective. A popular subject is to identify central nodes through the node centrality {{cite:9fb51b8c23bcf51b3c2d... | i | 2a3eb61f205f213d33038ef11c0f8e11 |
Observe the world to form beliefs about it:
We typically observe the world in an unsystematic and unstructured way, so that the observations have a sampling bias.
Applying the scientific method helps reduce this bias.
Exploratory and assessment studies are conducted to form these beliefs.
Explain causes and effects b... | m | efeed316ba52aac0c96a0cdee3664e29 |
By Hilbert's Nullstellensatz {{cite:3b93c6fbf8c7c953601ae6d73412ace75a39b693}}, a polynomial {{formula:04b397f3-811b-4125-822e-1f484855e4a9}} belongs to {{formula:f49bd710-693a-44e2-979b-236dba01aa0d}} if and only if {{formula:9ebca9e4-60cc-46dd-97fd-12c997f88e7d}} . In other words, the map {{formula:d743944f-6994-49... | m | f52adfe7aaacf8f34355d7385701aefc |
The adversarial MAB {{cite:c5c886262f432516c8dd1b2f27e494131056359b}} is a paradigmatic nonstationary problem. In this model, the bounded reward sequence at each arm is arbitrary.
The performance of an policy is evaluated using the weak regret, which is the difference in the cumulated reward of a policy compared agains... | i | e9c523f1ed32470521574bbe9cb75754 |
As shown in Eq. (REF ), the modifications in the spectrum of the primordial GWs at particular frequency ranges can be related to cosmological events occurring at corresponding temperatures.
In this sense, the GW spectrum represents not only a snapshot of the early universe but also a movie looking deep into the very ea... | d | 4bed950fbf92cd07d0488f3f1bb7a4a5 |
There is also evidence {{cite:5d7fa9d215ce6f3d675e42de56fefe1facc142d4}} that multi-task learning can improve the performance of each individual task . Rich Caruana's PhD thesis {{cite:9dd1307d3ce84315bc0bb134c7db3edaef5f370a}} was one of the first to study this topic, and his work found that performance improvements i... | m | cf64a6a46e2c1e009dac3c153ad98a96 |
One of these areas is exactly solved models, where the elliptic beta integral {{cite:c353bed5f35a17f63aef23149ec5ab8e2cb46595}}, a central identity for the theory of elliptic hypergeometric functions, is known to be equivalent to a Yang–Baxter equation {{cite:b0b5152b12e8175d14487e2c374c986640f4b8b6}} (more specificall... | i | e16eb86556b14eeb492c7e67289a2e7f |
Table REF shows the results of the proposed models on the ETIS-Larib Polyp DB. In this case, we do not compare the results with UNet and ResUNet, but compare the models directly with ResUNet++ as it already showed superior performance on Kvasir-SEG and CVC-ClinicDB {{cite:ba6765f6ec181067da79f60c43b4e6f324c9c6bb}}. He... | r | 669c0da887fd67bf8f1663ca82460326 |
Most existing sensor fusion methods focus on the LiDAR
and camera fusion problem. MV3D {{cite:36a769590a64495a7f7d0e817939b2343bc4ef31}} extracts features from the
front view and Bird's Eye View (BEV) representations of the LiDAR data,
in addition to the RGB image. The features obtained from the LiDAR's BEV are then us... | m | ca0c1a37ea43d3e3a43536ef9efb4f85 |
In traditional sociolinguistics, weak ties within a social network have been linked to innovation and language change.
Yet most studies only use indirect evidence to infer the underlying network types {{cite:7320cce3a33112a7107be9bd5553195a56b45478}}, {{cite:fcfb62bc650ed0e27a65000ab0e145224889919e}}, {{cite:0cdf85f98b... | d | 3e17a6cc7f0c1492872ae7c516440fc6 |
Professional politicians and political organizations use Facebook to share announcements and information about what they believe to be interesting events in order to reduce distance from their constituencies. News organizations also rely on Facebook pages to encourage and support interactions with their audiences. Comp... | d | 75484e2b4bdc30f1117d457135132233 |
This experiment investigated the utility of automatically extracted word level prosodic features from child-directed speech as predictors of age of acquisition of words. We utilized a generic set of 88 prosodic features which have been previously proposed in the literature {{cite:daa4a13447a62423374e1abaf1c8b5b232c1aa6... | d | 4e4b1c1792f18a32a01422a2b76e8122 |
Figure REF shows the deformed images and the velocity fields obtained in the 2D simulated dataset
by diffeomorphic Demons {{cite:c1c31a324274c255286d382530b6f69e8a535a76}}, a stationary version of LDDMM (St. LDDMM) {{cite:a16e2c01cf93fb4e4059bdc766eb9c4c9206eb33}},
the spatial version of Flash {{cite:4e9c337fb99444153... | r | 0a8efc9673baef39328687e9b2c93877 |
Although great improvements have been achieved by existing lightweight SR methods, they still suffer from several limitations.
First, hand-crafted lightweight SR models like IMDN {{cite:48e5ee3aed2d6b5eab0f9aab17c05e435a080a45}} and RFDN {{cite:817a4ab17d140a9dddb99d68995a726442e3897a}} adopted several {{formula:2474f5... | i | 1fd2ee38e23a4406d5a2718bf9c70055 |
Finally, as we have emphasized connections to the {{formula:c94ec145-286d-4ff7-9456-a62cc5370521}} case in this work, it is worth noting that for {{formula:27d76746-5291-4721-a3a0-c355f38d0c51}} the Euclidean boundary conditions with an interval of Euclidean time between two brane boundaries can be filled in in two d... | d | c275fe881a8803da4800b286eb0742af |
Lower bounds: Proposition REF is a worst case result for worst case type, adversarial errors. It would be highly interesting to derive lower bounds for minimum norm interpolated estimators that hold in more optimistic scenarios, for instance when the {{formula:f65fda25-5ae1-47b7-9425-6814a08437de}} 's are independent ... | d | dd5ce9b0868384bee5eb38fed7069da7 |
Note that PPGM focuses on privacy protection after being deployed in distributed computing environments, but not during the model training (e.g., usually achieved by federated learning {{cite:a867ccd69455ab64952ad1943acdc3d4d577b999}}, {{cite:15d29e85032bc1d0fbd7f827c618ce2a1d80dee0}}, {{cite:2d047818c66f0433cfa25fcb9a... | d | 508048742979ac21523afc61fad1f1af |
Discussion: Huang {{cite:1f7577f4773056c8fe74e3983f6120f189bb7906}} uses the interpretability technique to design a heatmap to explain the DNNs output, facilitating a more accurate detection for the poisoned model. However, their method requires a clean dataset encompassing all classes. Different from their method, our... | d | 771c90e08abc1d1b8be09edac8594aa1 |
More recently, Bakshy et al. investigated the nature of political echo chambers on Facebook, where left and right-leaning users not only tend to connect with those who share their perspectives, but also, tend to share different news and other media URLs {{cite:7deb73ab557c2404092a11a5f17eff0d24407687}}. While the exact... | i | 127e74ceec7cdc411ae868797d115943 |
The major motivation is that, by substituting a vulnerable word with its synonyms or sememes, we expect that the adversarial text with small perturbation can have large semantic preservation. We model the word-level attacks as a combinatorial optimization problem {{cite:cba71acd2ac9b0670d47450cd961380840af168d}}. We th... | i | eb9bb4f1c91b94ecab274e2ab58a1e73 |
Most of the current research shows exciting and promising developments of AI algorithms in image reconstruction for cardiac imaging. These are mostly attributed to their strong ability in recovering high quality images with fast reconstruction speed, which therefore can further increase the acceleration capability. Cur... | d | 12f5acf925cfcfebc71ffd1a714a259b |
To our best knowledge, MGPSN is the first work to jointly train motion and image into a unified CNN network in head detection. This work aims to solve the above part problems, such as similar static objects and diverse head samples. The contributions of this paper include: 1) We propose a pixel-level motion-guided pseu... | i | c1b28df950a30c93285332d45fd4d987 |
The last effect which breaks {{formula:66a72deb-342a-4da3-bdc8-c3ffc112a83e}} scaling is transverse flow.
The transverse fluid velocity is proportional to {{formula:71324eaf-ca68-42d7-9cb9-c9c44b9027c0}} at early times {{cite:9b7b12ddbbe70df69174346391fea010d4d49c39}}, {{cite:00aef70aacc97860f00e5e1fa4a7ef8a703fad95}... | d | 21776ed3900ae2ce7f148d430ba09890 |
Line-search methods determine a search direction {{formula:e4eaadda-545d-4930-991c-fe1ff53b0a3d}} first and then identify a good step size {{formula:f1ff51f2-c907-429c-9b06-d319f892eb7d}} . Trust region methods do the converse, by specifying a maximum step-size first and then identifing a good search direction {{cite:... | m | 9e6aa430a5447343d787b51e480f7789 |
Despite the existence of outstanding initiatives such as MLS dataset {{cite:26b4f7e0db1b081447b51747b305fe182495688d}}, there is a lack of manually annotated large scale speech corpora in Russian that would be freely available and suitable for training and testing speech recognition systems.
| i | 7435ac653210367fded5f93d631df12a |
Siamese architecture is widely applied in SOT where various designs focus on improving the discriminative representation of objects {{cite:69aa191293adb275bb078eac46d19751d57dd392}}, {{cite:d455663f2611f1d181ef4a8bba9c0faba26f6ca6}}, {{cite:af7926b88567a7765a0015c534eebd237077ddd2}}, {{cite:ecb3830c35bcfab3cddf4760ae3e... | i | cbff21e09b2093e047101bc09cc45da9 |
Evaluation on ImageNet Subsets: Following {{cite:8ff24fa6b3520e973832a17c28178b4922246744}}, {{cite:3fb3f9872746e5f69029be9ada060bad85929822}}, we evaluate the pre-trained models on the ImageNet classification task with limited labels.
We report results with 1% and 10% labeled subsets of ImageNet (table REF ).
CMSF-2Q ... | r | f831cc781c591356b33c1ca975b04d8a |
Semi-global alignment score is a compromise between global and local alignments
{{cite:edd3768b2589283449f9ae1a09b29aeb26318d16}}.The global, local, and alignment scores were computed using
LingPy library {{cite:9be3b2f4b83a5777a1d662bedaccd60d41815257}}.
| m | 3c4d83aa93cd2f3e5039788622df1288 |
Overall, our method adopts a similar message passing layer as in GraphMeshNets {{cite:80a650c7b0c632c90145a8b6b5635dc788a8aa13}}. Compared to {{cite:4a0a9a880fe5e508dc38453a9a6ca93a53a27e02}}, {{cite:b8bcd0eb50561ceb5323c6bd371697a77b976f9c}}, our advantage is that no mesh generators is needed for the coarser-level gra... | m | eab1b6b6e11e6ebbf7820563526f2c3d |
A manifold is a lower dimensional basis for describing a high dimensional data. Images can have a complicated and highly non-linear manifold {{cite:169e8424d5b963e075adfd2946a51885bb089044}}, {{cite:60dc670921de2bfe044dbfad531e9ddaaf4ce29c}}, {{cite:710c891fd23aba18fc5306b1f1173ea77c69569c}}. we attempt to approximatel... | m | b19892372f37acf67dd9407f62c48731 |
The problem of pattern avoidance has been an ongoing object of research in combinatorics over the past few decades. We refer the reader to the text {{cite:bef716af0006274fc492f42646f3038ca70a3328}} and references contained therein. Considered originally on permutations {{cite:d70f434407842731393c9d8aa1b989ea788c1506}},... | i | 05e9bb54c539795824619c8e98037389 |
In summary, our contributions are threefold. First, we formulate and highlight program-guided tasks, which are generalized from program-guided visual reasoning {{cite:929e63e4d3ff959965f965fe1f067172b5472016}}, {{cite:f782f1e0af1f9d82ecd1cecfa9f8b2f6fadf8e80}} and program-guided policy learning {{cite:481b31e3d8d650342... | i | 770c8179a010a3d34448957ed437a1c9 |
{{formula:7d70fc01-2f63-4982-b7cf-3cf5cebf82e8}} -{{formula:3553d4e1-4d09-4028-9e0e-4a6a0604c244}} phase diagrams are established from the above-discussed features of {{formula:f533a964-7cfd-468d-9db2-fc1f088dcd89}} and the field-dependent fit parameters of the Cole-Cole relation on the polycrystalline samples Mn{{fo... | r | 0de80a6ae3e6cf247ff3fd2edde88db6 |
In the past two decades, a completely different line of investigation has dealt with the angular momentum carried by the electromagnetic field. Beth {{cite:ed7687d02064c67b079a3361f58b19323ac70762}} made the first experimental observation that light carries angular momentum. Beth demonstrated that if a beam of right-ha... | i | 421b27a98f30b721828930e3a1192e0e |
In the left panel, we show the DM-proton cross-section bounds for a light mediator of
mass {{formula:09bbeaea-45c2-40f3-bf4b-cb5650a1e90d}} while in the right panel, the mass is {{formula:24732777-cd28-4b1b-97da-2662ac09b14f}} .
For comparison, we also show the bounds from the latest results given by PandaX-II for the... | r | 29bc297fbf0449aae9560d03af7d7447 |
Pixel Query Initialiser (PQI):
The Pixel Query Initialiser (PQI) module aggregates the global information of the scene into each pixel-level embedding. The image feature map with the coarsest resolution, which contains the most essential details in the scene, is fed as an input to the PQI module. Given an input feature... | m | 26a0bc36c0a801281e5303e0dc2e9aac |
Observations of our Universe across cosmological distances offer us an ideal grounds for testing the behavior of long-standing physical theories, alongside new ones, ranging from signatures of new primordial phenomena {{cite:10b850f7d63c1983e7d9abb3266e7de2a00f1411}}, {{cite:1d906929ab511efafc65bd8b4981f673ecb55a0c}}, ... | i | 459b1bf529f4e2b35d01636370f04d18 |
In this work we have used the DIRAC {{cite:c3739b7380b079ac1bff801539eb55cd4163535d}} program and the Dyall-DZ {{cite:1ccaae7dac5a35943ed4769e85de20884a8de6f8}} basis set to perform DHF calculations with the {{formula:296a6d0d-c124-4b13-ab58-245109509c88}} interaction. This basis was also employed in PSI4 {{cite:71549... | r | 9f66153c47fd602c305be35f7f390bd6 |
In this paper, we argue that there is an additional, previously unexplored mechanism that governs
where future citations end up. We posit that recent citations strongly influence the short-term impact, in that the level of attention papers currently enjoy will not change significantly in the very
near future. We invest... | i | 65d82186d0b71f681a22f031cd20447f |
black
In this section, we briefly describe the numerical model employed, namely an extended color-gradient lattice Boltzmann approach with repulsive near-contact interactions, previously introduced in {{cite:49870e476ff5f0decf99010f9f48a6003457913c}}. In the multicomponent LB model, two sets of distribution functions e... | m | 860f5dbd5a85d82a13a3e5dc141af9fb |
The unusual dependence of magnetization on temperature and the finite difference between {{formula:f0754256-5228-4ae2-b80e-b665467892b0}} and {{formula:9c5184d5-dbb5-49b4-9b88-58156b51799b}} curves much above {{formula:43c14d02-dbd2-43e8-93d2-7b191fc307c9}} clearly highlight an unconventional paramagnetic state at h... | r | 8d91291d9c6bb644d06eaf0b91b4ca9b |
Although the merger remnant is massive, it is hot and more extended than a WD of the same mass that evolves as a single-star or grows by slow mass accretion {{cite:a5767ff419115ee754376f2810ab3eac4c84e7f8}}. In addition the merger remnant is rapidly rotating and sustains a strong magnetic field. Future studies should d... | d | 5b9a9045754472e7a135fb589cc11eea |
For communication purposes, RISs are employed to offer coverage enhancement by signal-to-noise ratio (SNR) improvement and interference suppression. Channel estimations for RIS-aided communication were discussed in {{cite:55289dd2ef52288889fafa83608bda449fd9e7f2}}, {{cite:877252c6437b5b399cf67ca8e8394cdc7c5ca78a}}, {{c... | i | 98d9ab67933cbe7f1be96cbdfd8a06e4 |
Natural image: Three real natural images are
studied in this example.
The results are given and compared with method in {{cite:9d1cb0449c67b9052aea484f68091effc79bdad9}}, {{cite:9d04de1dc85603faf01249912b6f2cf87669ceff}}, {{cite:478f762ae7e8a632bac5c84a84f66fde884ab998}}
in Fig.s REF and REF .
The results for this typ... | r | 3e1f753b5b268f5b8a1f0147a061fcf4 |
We address the difference between the commonly used parameters due to Heineken et
al. {{cite:d58318e55d92741ab3469def5381a401ce73dbb3}}, respective to Segel and Slemrod {{cite:58c0fa016736eed5cfdbc27094ed43f7a163613e}}, and the ones derived in the
present paper. The discrepancy is due to Segel's choice of a nonlinear t... | d | a2bd27ebcb2f6a37c85216ddf6640bae |
The third term of Eq. REF denotes the shear induced polarization, where the generalized momentum quadrupole tensor and shear stress tensor are defined as {{formula:35fa180d-6d78-4500-bbb6-82b4ee436053}} and {{formula:32812a20-4dd8-4bbc-b518-5b2d003e8b8c}} . This expression can be obtained from chiral kinetic theory o... | m | ce7c7c93dddd7baccb2a2d6147384686 |
We also discuss knowledge distillation (KD) {{cite:d48c1deeddb80831ee5f9cd04623325e7738792c}} as another line of work that introduces uncertainty. KD is a procedure that trains a student model to fit the outputs of a teacher network, which are also 'soft' labels and introduce uncertainty. However, KD alone has been sho... | d | 4bcf7bab503037169171facafd73cbdf |
We recover the well-documented (see e.g. {{cite:cedca2bfa246a68c37c6cec6d69ec1e738ba0bcd}}, {{cite:01b12f21c9180ed12b1ccbdabfd617aa0ce5c9c9}}, {{cite:006aa7dd59ac6851e07102cb9d21d91d697f6295}}, {{cite:97f9b586418ab3652d5d1727d16866af326b153c}}, {{cite:f7c9c210ea36fddbac47473e9615bd2c73382756}}, {{cite:db4a9584db43acb2a... | r | d77367eaedb3db16fa89a681b4052e44 |
In practice, the g-formula typically depends on high-dimensional nuisance parameters. In this case, many estimators of the g-formula and associated contrasts have been proposed including the density-based parametric g-formula {{cite:01b504ce96ba4220a5894bd8891ea44f3508a62c}}, iterated conditional expectation (ICE) esti... | i | bfb418d6d868e99bc95e12f651ed58c0 |
There is a substantial body of literature studying the interplay between freeze-in and freeze-out processes in determining the final relic abundance of DM in hidden sectors with light mediators {{cite:3c55e8424302da11a0823fcb9c0015b8647b9391}}, {{cite:9c06e99f57ea39c2f73b859adf52bfbea7a4bc8f}}, {{cite:aac975962c52a67bd... | i | 3366c0802f559f447bf3860e1acc5e57 |
As widely reported {{cite:bdf8dfd8175c7fd2f705e4ee16d3368ee18ef42d}}, {{cite:8ea00601fac581295a9d1c5187412ef170afe3b6}}, {{cite:e7891892939da9dd35ff9f50d219f515c2b5d440}}, using the likelihood alone performs very poorly on a number of dataset pairings, such as FashionMNIST vs MNIST and CIFAR10 vs SVHN. Typicality subst... | m | 3f792143bde8b5c56d28ab30b2736e0a |
In the above assumptions, (a) and (c) are standard in the stochastic non-convex optimization literature;
(b) is an expected Lipschitz smoothness condition over the data distribution, which implies the conventional global Lipschitz smoothness {{cite:77a213b3895498abbf4bdd211e9c74b4849b5fa5}} by the Jensen's inequality.
... | r | 67abb599c4cf52e20de6c2c6e26d312a |
Topological photonics offers a unique path for manufacturing photonic devices immune to scattering losses and disorder {{cite:5f3c42d19d8cc73343a282e500c3d88cf7091f1f}}, {{cite:67a2f7b2cc247454bb4a4fedd27fb4cb295b403c}}. Since the pioneering theoretical predictions {{cite:480deb56d29d9803d7c8ff3450b12217c326f383}} and ... | i | 7b06cf24a3aa65568a2c8c5cb8035768 |
Fig.3(a) shows the zero-field cooled(ZFC) and field-cooled(FC) magnetization curves for SIO-as prep and SIO-anneal samples at an applied magnetic field of 1T. Both the samples exhibit magnetic transition below around {{formula:262d76f1-bbc1-4904-8266-933b2ade7016}} 238 K as seen from the inflexion point in the derivati... | r | f455ac7afefc7a532ff79961084ae6ad |
[leftmargin=*]
RCPO ({{cite:70b39d126b2fb9ac19f3c6fd3c45f854801396c7}}) is a general CMDP policy optimization algorithm based on Lagrangian relaxation, which introduces extra learning parameters to control the constraint-objective trade-off. We adapt RCPO to RCB by the proposed POCMDP formulation. While its maximal per... | r | f29e493e852b4368596aabcf30137421 |
Neural dynamics- The system consists of {{formula:2cb04460-8201-4899-a711-6caf26fdca31}} spiking
Izhikevich neurons interacting by transition of chemical synaptic
currents with axonal conduction delays. The dynamics of each
neuron is described by a set of two differential equations
{{cite:b28d44658ac1cf57eb31330adb40f... | m | 150b2460615cdd03dc45230813466ab7 |
In 2016, Gatys et al. proposed the use of a VGG network{{cite:87ddeab52dc647360c63ae9a277d84b8a0d83581}} based method to extract features and to perform art style image transfer. The authors deployed a pre-trained VGG model to obtain deep features of the input image and a style image, and showed that a stylized image w... | m | 6f12f60a87d17e564244436f08442ac1 |
For CDFL {{cite:50f7a244107d55e7ee18458f0c92ef845dd7c96c}} in Table 1 and 2, the alignment acc-bg on the Hollywood dataset is somewhat different than the one mentioned in the referenced paper. Similarly, for TCFPN {{cite:b5219674b491ef65ad67a0c8459ce6f595d2de29}}, in some cases, our reproduced results are not the same ... | r | 2d05830e43ed76456fe069f30af84b30 |
Deep Neural Networks (DNNs) are now widely used for many applications, such as computer vision, speech recognition, and natural language processing. However, their large number of parameters and associated computational complexity makes DNN training expensive. Most prior research on reducing DNN computation costs focus... | i | 6253920becfdc325febde867d3acc5cb |
The choice of activation function in a deep learning architecture can have a significant impact on the training and performance of the trained network. The machine learning community has so far relied on hand-designed activations like ReLU {{cite:52ac7c5348ebf7fa0c523668448fe93d2c9a4c1e}}, Leaky ReLU {{cite:e48a86e5a86... | i | a47e9be616ec58a3587050b5a8758faa |
While the EoS of symmetric dense nuclear matter with an equal fraction of neutrons and protons has been reasonably constrained by analyzing the data on kaon production {{cite:e8736c31159a71e416e320c182adc61c330a0228}}, {{cite:c6051538f5381fe437c988f82e45073ddce4e6f1}} and
collective flow {{cite:f5ae347801e76ba822653656... | i | 65159994cc68ca5776a5d818e5a5e4c6 |
Additionally, using neural networks to learn the kernel function have been proposed {{cite:9695b8fd4dc69736ba8dc69e9c49fd755524e4c1}}.
This model uses a nonlinear transformation with a neural network {{formula:2c563106-8956-423b-88ab-4c27c1beb3b9}} parametrized by weights and biases {{formula:124915e7-155a-403b-a394-8... | m | 513a144f6aa28c92bfa3ad55b0bc8df2 |
These studies established the choice of single-particle basis as a crucial factor causing major differences between different implementations. For instance, the results from TURBOMOLE, FHI-AIMS and MOLGW,{{cite:610fe4a1ee16c1b9fde0ff1f7552a8dfeb710db0}} but also from the low-scaling implementations by Wilhelm et al.{{c... | i | 3898f76dacd5eae9b27d608b9e827fc2 |
On a technical level, we provided a generic characterization for the bias of gradient descent on linear models parameterized as {{formula:48783aa9-8e96-4b08-b948-890b4ce8ff60}} for a homogeneous polynomial {{formula:55f429c5-3096-480e-8202-8fe273b57f0d}} . The {{formula:f4d4d623-c236-49d3-841d-fd889a473e2f}} bias (in... | d | 6bfb7045641c64f92d9115e4263a5d75 |
The algorithm is implemented in Python by using the machine learning library TensorFlow {{cite:ecb6cda928bcadacc814f79ca378f4e47e883548}}. The code can be found in a public GitHub repositoryhttps://github.com/frankhan91/RNN-ControlwithDelay upon publication, and thus the results presented here can be straightforwardly ... | r | 53165988a5886ee2159131d5b87868ed |
Our experiments are conducted on various image and text datasets. The MNIST {{cite:9266612873c67c0db83719d3bb20b7740788f2ae}} contains 60000 training samples of {{formula:51b7a184-8201-437d-a047-335252ae095b}} gray-scale hand-written digits from 10 classes, and 10000 test samples. We train MNIST with a Convolutional N... | m | edddbb3a6cfe2baaaf3bdd915c784418 |
Planets that have strong magnetic fields in their interior region, like Earth, Jupiter, Saturn, and Mercury, are enclosed by invisible magnetosphere {{cite:33769595e9c7fb38e988fb013ee70ebc37a9e1a6}}. The charged particles of the solar wind radiation (electrons and protons) are deflected by their magnetic fields as they... | i | 52bc9736746a742cfd2b54c96d5c81dc |
Building a model that is able to predict the future states of an environment from raw high-dimensional sensory data (e.g., video) has recently emerged as an important research problem in machine learning and computer vision. Models that are able to accurately predict the future can play a vital role in developing intel... | i | 34b5f2eb3bf80062ff6b9828e50d4673 |
FedDG re-ID prohibits the transmission of images between different clients, which limits the application of most DG {{cite:e3a074f5fee7a3bc999933e98d69d89919ee534b}}, {{cite:e77651725fcdce2ca00aef8a5167e00626018a9c}}, {{cite:3749669c0adcf8272e63a3e9bfd551d6363b341d}}, {{cite:989c0a51378c4c6d61c5203284220d39bc2a03e8}} a... | d | 49b138e41e5ffb5804ec805ee492cc84 |
We summarize our results in Table REF . For both corpora, both the Subject and Non-Argument Hypothesis Models exhibit significantly greater representational similarity to the Reference Model than the Null Hypothesis Model does. This shows that the contextualized representations of verbs encode both of the noun categori... | r | f709b9b5768f46ebd71b2a51c320b91d |
In this paper, two evaluation methods were employed to assess the model’s fidelity and diversity, which are essential parts of this research: precision and recall {{cite:0b9b59aabc808790af4987f1f8bc6c442a4a1efa}} and density and coverage {{cite:bf1c6c3c574a781fdfc00834c33f49d0aa745b79}}. Fidelity is evaluated with the ... | m | c21c0604893589e7b6956326d71eafba |
We will check the performance of the three proposed PANNs (CNN6, CNN10 and CNN14) on the SER training and test datasets. In order to take advantage of the large pretraining done on the AudioSet {{cite:b5414bb3f62214544496c4efce2c4b5e62b27638}} dataset, we will use the pretrained models of CNN6, CNN10 and CNN14 made ava... | r | 59b67ed2508d640c8781d7e408c9b99f |
IL was originally used to train predictive coding models of cortical circuits {{cite:f587d282f06d5eb511093972f4691ce2d2b9aae7}}. The success of subsequent predictive coding models lead some neuroscientists to propose the hypothesis that predictive coding and IL are canonical computations used throughout the brain (e.g.... | d | 790cf39a0c4341ebb2bbea0457b48fcd |
One of the most important challenges, in the past decades, in
condensed matter physics is finding a justification for the high
temperature superconductors. The well-known
Bardeen-Cooper-Schrieffer (BCS) theory is the first successful
microscopic theory of superconductivity. This theory describes
superconductivity as a ... | i | f581f681274b810f3ca430e05d57043d |
Our main focus is to study the convergence of the metric {{formula:2791e095-ef71-472d-aa3b-bea6013ce334}} at two different dynamical phases of the LRIM as the convergence of {{formula:982e82fe-0fa2-47b3-8cf0-45c66d78371c}} to zero suggests thermalization in that particular phase. For all the quenches we prepare our i... | r | 1aad8aecc847e2fa58de71c8567a8213 |
Indeed, by collapsing all nodes in {{formula:5839446b-96b9-4534-ab98-d62da3949144}} into a single node and similarly for {{formula:9dbf64fd-41e3-4b14-94c7-935fec0472b5}} , one reduces to the same setting of {{cite:f23ce882680cf4a78ea95185afbd6b38bb22e2ba}} where (REF ) is proved.
| r | fdb05c47b2f0686b01f6d95ccc9bdf60 |
Upon considering common forms of vector presentations of textual content, bag of words, word embedding, and sentence embedding are three of the leading methodologies in the present. Word embeddings have been observed to surpass the performance of bag of words for large enough data sets {{cite:ed5284fa5ed36adfb313266cc1... | i | 6535e3bbf9f9575716a4c173c32b80f3 |
Label bias arises when
different output states have very different numbers of outgoing transitions.
In directed generation tasks
such as machine translation and abstractive summarization,
there is a nearly one-to-one mapping between the input and the output.
The transitions between the output states are almost determin... | d | fa0ddbac28063391552283d89d87cbfb |
Both the order in perturbation theory and the treatment of unstable particles that one uses for the calculation can have profound implications for the size and shape of the background.
Thus, one of the primary goals of this paper is to quantify off-shell effects and higher-order corrections in NP-sensitive observables.... | i | 238264d59b06ff32b8468fad8547e56c |
Related work. Our work is closely related to {{cite:3d0b0ddfc51f2d6ba6bc460b5674f4ce84a9a98e}} which evaluates feature attribution methods by their ability to diagnose different kinds of model errors. Similarly, and {{cite:e27b650a691f26d23c6bf350a091a9a4565e5122}} study whether feature attributions detect spurious fe... | d | bb1855e6a6076257283d84df65a6af40 |
The bipartite approach is broadly used, for example, to model scientific collaboration networks {{cite:e60984ff3faa42ad15fa44b45bdae604611130d8}}, {{cite:379627db80c78543ebe611ae2f122e8745134489}}, product exports in economics {{cite:7d75b6de065f7ba698b111dd9d1fed5f0f0cb9e8}}, relations between different species in eco... | d | 3e03bea84f0eb607b7ecf11bff3d9327 |
One finds that {{formula:e18052f1-97a4-4fe3-9a56-efe515fa2efc}} can be expressed as {{formula:29c3b1b2-dcff-4e0a-b3bb-46f298cf0b08}} , where {{formula:95ac4601-0d08-479e-ad81-00bca920240c}} is an integer.
The results of Sec. REF -REF were obtained for an arbitrary pair of {{formula:766e2337-c666-4331-9da1-eb1f9014... | r | bf4358c4dd5e5a8456603b15b2ffa576 |
Thus, Elimination Distance–({{formula:a5c9ec3b-0a70-4500-b163-6da6d18d38ba}} ) to {{formula:f5bd22de-d487-41c6-8235-f54bbc0e0255}} can be stated as follows: given a graph {{formula:12caa363-5fb2-4354-8394-7a3b6755c4bc}} and a nonnegative integer {{formula:f2a3db39-5cc0-4a3c-b6fb-bab84fc5038e}} , is there {{formula:6bf... | d | 8aace6745e431777171cc67bc4c8249d |
Many other linear bandit algorithms can be accelerated in the same way. As an example, the SupLinUCB algorithm {{cite:727b5ff6ec4bb32c25a38961aa85e3a5f6b4873a}} can be accelerated by alg:mips-adaptive. The regret of SupLinUCB is {{formula:025814a4-61a2-4fb6-88aa-b7e8b4d64884}} , which is favorable when {{formula:9e8a82... | d | 5464d6a058617664decece03df4f6a95 |
What we propose is not a specific model, but a general and compatible framework for multi-view gait recognition. As shown in Figure REF , the input is a gait silhouettes sequence {{formula:4afe8432-2838-4d94-bbf7-0939dd166d6b}} and a backbone model {{formula:e6369df7-aa24-4b97-b1f0-201a4c71e1d9}} is used to extract f... | m | e39194d53b488f46309959f34ff9f87b |
Since our proposed approach is a method for training a convolutional dictionary, we compare it to two classical model-agnostic CDL-methods, which we refer to as CDL 2D and CDL 3D. For this, we pre-trained the 2D and 3D convolutional filters using {{cite:d852531024a99cda629793cad589758add2fb856}} and {{cite:fd9fb3f7d6cf... | m | 6e1193916bb9b7a435748fbc1074f22b |
Once the network features are selected, we use a random forest (RF) classifier, which accounts for correlated features thus allowing for more flexibility with feature space partitioning {{cite:ef384e6ea83e4dfd7cad08835e5d6c1e1a8daccb}}. The network characteristics mentioned above are general and were chosen to cover bo... | m | b55b4c3f503c76d3d86382915ccb6084 |
Several strategies for containing the spread of misinformation in
temporal networks have been proposed
{{cite:82e9cba7467d3428d8e829d8fcb017a6ed5310bd}}, {{cite:84b489df6afbba37ef4693818ae141312610ed93}}, {{cite:466585a0cb38a3004b01a8feb9ec88f3da6dd066}}, {{cite:6a6f4c0729942219be3f00b94fabef20435bbe44}}. Liu et
al. {{... | i | 9ac6f73e31e59246f2f56f68e3eb8839 |
With respect to the manifold learning, we can in fact add more constraints on the reconstruction terms in Eq. REF to enforce it to learn more of the desired properties from the biomechanical simulations, which could potentially facilitate the learning and capture more diverse patterns. For latent space exploration in ... | d | ac967c75b420fb3e044cce7cde4e39ba |
In this section, the UAD and channel estimation performance of Algorithm REF and the impact of UAD errors on the throughput of IRSA are studied via Monte Carlo simulations.
In each run, independent realizations of the user activities, user locations, the access pattern matrix, and the fades experienced by the users ar... | r | e68e80b6eca5ffeb2ba363cd579aca4f |
The resulting circuits for executing such models simply involve sequential application of the same unitary process {{formula:0a7838b0-eb6c-46c6-80ac-b2d8c4ddb5e8}} at each time-step.
The dimensionality of this unitary is then bounded by the memory dimension of the quantum model.
As such, a fixed memory dimension guara... | d | 7c43e44dd9f2eabae50e32fb7ddf4c8f |
The physical process of these two types of SNe can be described as the iron core collapse and electron capture, and the latter is driven by the neutrino {{cite:1c07a45b5f1b3fbc51c2cb947191c84737781c8c}}, {{cite:401d80c5b34510f8a61ed90b782ffbfe08057556}}.
The iron core collapse is the dominant process of high-energy SNe... | d | 70c322c832fabed19c5015e60af9481a |
Second, in the medical literature, FST is arrived at by either self-report or physician accessed direct assessment. Both require access to the physical subject for whom an FST measure is being calculated. All existing computer vision work that has used FST measures has done so by having human raters judge the skin tone... | d | b6f84579ca821ab5d515606f30ae42c6 |
where {{formula:97e1e3fd-31ae-49f0-8d23-9b484d9596e8}} and {{formula:3cda9057-f810-4122-b361-50ef2714dd6c}} for all {{formula:210e23fd-7ce2-431c-b542-19c957b54f23}} . The interested reader is directed to {{cite:5a175f6952981378488f7fead4c20408ad0ed0a9}} for a Metropolis-adjusted LD algorithm.
Note that all the MCMC m... | m | 35a84f71f26d30cdede58ab63701900c |
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