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Fig. 2 shows the angularly averaged spectrum of turbulence {{formula:6c10cc81-dec2-4499-bf0d-bd4214792592}} at different instants of time. At times {{formula:13117406-af27-4fe4-8a79-4062c4f42105}} one can see
the steady (compare with Fig. 1) spectrum with the Kraichnan behavior {{formula:aa49e77e-4ca6-42e1-b8f4-8d017... | r | c9e32419b52a20263ca97661bc158a4a |
First, we present the results for density profiles obtained from a
solution of the reduced 1D and 2D equation and compare with the full 3D
results. It is known that the densities obtained from the reduced equations agree
well with the full 3D density, as the nonlinearity tends to zero and/or
the trap asymmetry is extre... | r | 70b380dc877506882c3685ed8fffe4d9 |
To address the new fairness requirement, we suggest a privacy-preserving pre-process mechanism for enhancing fairness of collaborative ML algorithms.
Similarly to the pre-process fairness mechanism suggested in {{cite:916f24ad4260f86710e608c44244ecd81e656993}}, our method improves fairness through decreasing distances ... | i | d74a0dd833a1f01956f798df04a3da9c |
Results.
The current state-of-the-art performance for pixel-based semantic segmentation on the benchmark data set ADE20K is obtained by an UperNet {{cite:22ad981b1a52eb999159f7ff89af3c187bd3b91c}} with BEiT {{cite:57a30908f245b0c4da6de51b37091948651fe2a0}} backbone and a features fusion strategy, with a mIoU of 56.7.
I... | r | 754bc92686af764a9cf47afc71432417 |
Finally, to fully classify the global gauge group structure in 8d {{formula:ec915c99-1585-475f-aa2a-aa49a44ece47}} theories based on the 1-form anomaly (REF ), it will be important to have more stringent constraints on the possible levels {{formula:910f3943-8c06-4d3e-bfad-fe0840364ff9}} for given simple gauge factors... | d | dbc45808189c0a567c4788d7974f847d |
This issue could of course have been handled through alternative hierarchical exploration methods, however, for a fair comparison to the conventional agent we chose to simply generate training data with a flat policy (as shown in Figure REF in the Appendix). This again showed that hierarchy generally improves upon the... | d | ec70d0f4ab546f3f42292fea53877ca0 |
In image processing, the active contouring method is one of the conventional methods applied in order to detect, smoothen, and clear the boundaries of the features of interest {{cite:4150d9a879115bb3bdf7b1080d35daeabe647c62}}. Instead of the conventional active contouring approach, which requires distinguishable gradie... | m | 1d401a5207c6c370480d35f350b535b8 |
but converse of the above chain need not be true (see {{cite:2bb854b74cbc021ab1a4160c1a76df1fec9a15b6}}, {{cite:85c99fcf9f1073aed106cca8615b3085ed15e808}},{{cite:8cb9ffab9ef063549c17ebc5f990490bf90a35df}} and Example REF ). Also, we show that direct sum of pure extending modules is pure extending (see Proposition REF )... | i | 9e04f7898bf8743560d4f5f8c2d7d317 |
Model complexity: It is represented as a number of trainable parameters in millions and per-image inference time in millisecond (Table REF ). It also depends on the base CNNs types (e.g. standard vs lightweight). Given the number of trainable parameters (9.7M) and inference time (3.5ms), the performance of the lightwei... | d | 499fd61505874be203f7bc4b5b083de5 |
Example 1.5 Consider the elliptic surface {{formula:bd00c94f-c632-42f1-857d-543cee92e2fa}} . We have {{formula:2040b216-1af4-4c8e-abe0-951b26d6225f}} {{cite:3519775906f78ed6cd30884e03bdbbaad25c2577}}, so {{formula:24ffb0a9-1095-4ff3-a2c1-9a65f99a9055}} . Suppose that {{formula:fd43dcc7-f87a-4363-befb-76023b4091b6}} i... | i | 59ee60847e5f262ff0bbc39e79cd18d2 |
MUST is a simple unsupervised learning approach that adapts a pre-trained open-vocabulary classifier to a downstream task using unlabeled images.
In this paper,
we consider vision transformers pre-trained by CLIP {{cite:7c9cb004e38308841fe67e8b5cfc2ca3b031f0d1}} as the models to be adapted due to their distinctive zero... | m | d78f03d6637367acabf56ad90d437e67 |
The real time quantities in the transport coefficients are comparatively poorly determined. The two real time parameters are the order parameter relaxation coefficient {{formula:1cbc37e4-075a-443d-aa6c-00559fa54b21}} and the diffusion coefficient {{formula:46d97f7e-c482-4ad3-830c-a34d78c42bfc}} , which set the critica... | d | 267062bdc86ad102d1fd3a004130f91c |
We studied three hydrogen-terminated silicon nanocrystals of different
size, Si35H36, Si87H76 and Si353H196. An LDA
functional {{cite:e0e409e5833c72ae9960a39fa27d0ebfdadbf50b}} was applied with norm-conserving
pseudopotentials {{cite:0c98d4dba657cde12d1ba3dd5caff695cb5d4589}} using the Kleinman-Bylander
form {{cite:b0d... | r | a5494208db5a7d6a9314e84ab0a7c4b0 |
Hence, for the case of {{formula:5dfe5e2b-eefd-498a-9bd3-556533802ce0}} splittings, we choose the {{formula:2e633efd-92e9-4ad5-84d8-891a677d9ee5}} process to be the source of resummed contributions from the EW shower. The equivalent FO calculation can be carried out using the {{formula:301fd9e4-3c88-42f3-a8b6-898e5d0... | r | 335857cf8a269f0adee66c563964d75d |
The spin average or the center of weight masses {{formula:cc767875-3884-447c-b7ae-807c661c1538}} are calculated from the known values of the different meson states and are compared with other model predictions {{cite:6a5cf8137907fc845b0559214ddc8e4a49c21fc3}} and {{cite:0a721d54823f2b353ee5e0eae8f0a142e68b9d85}} in Ta... | r | e3c3927288103f3e5e7d00b378282ed1 |
Bert {{cite:1114883b2ee9c7e24042b9479b2ae44eb5aed197}}, a pre-trained language representation model, made breakthroughs on many natural language processing tasks, including the sentence similarity prediction task {{cite:9f3be874c2688dd6e556a803da4baf54406751c7}}.
The methods using Bert's embedding vectors were also int... | m | 1aa24d12aaef2f4b9c5e310a49c2f248 |
As dynamic networks progress rapidly {{cite:0c844fb80e01c6763c13482cd5576337b727ee55}}, novel solutions are needed for their simulation and emulationWe assume that network simulators mimic the basic functions of network devices whereas emulators behave as real networks, allowing to interact with operating systems, prot... | i | fe69a893e9675137b965eeede79c9404 |
Xian et al. {{cite:97e0a6775665a7366e9f28b44628b2bafd2edba9}} tested 10 ZSL methods with a new seen-unseen split of datasets ensuring unseen classes are not used during pre-training of deep network (e.g., GoogLeNet, ResNet) which was used to extract image features. They used ResNet as image features and attributes as s... | r | 9b4fb1c217950c428c07aa9cc1f67651 |
As previously stated, a fluid shock is mediated by collisions while a collisionless shock is mediated by collective effects. For a plasma where only electrostatic fields are active (such is the case for an electrostatic shock, the kinetic equation accounting for both kinds of effects would formally read ({{cite:96b2202... | m | 10133abb9449496ffe232c86d3bc02fd |
Social inequalities in every aspects, resulting
from competitiveness are described by various
distributions (like Log-normal, Gamma, Pareto,
etc., see e.g., {{cite:72611cef5746e3e45eb336019c904324916aae30}}, {{cite:62675f19347abd79c5e3141b463dbdecddc89a68}}). Economic inequality
has long been characterized {{cite:f5394... | d | aa07a1c37f1ba326f91c4d8360cd0a9c |
Based on Table REF , the model used by Kumra et al. {{cite:308aa48728b0b5e354eb5a6ee03421a987f80236}} stands out because it scores highly on Cornell and also has a high grasp success rate in clutter. However, one should be cautious here. The clutter grasp setting used in {{cite:308aa48728b0b5e354eb5a6ee03421a987f80236}... | d | fc38cc467001cdaa263dcab3e6678dad |
We present preliminary results for a parameter scan on the THDMa, a two Higgs doublet model (THDM) with an additional pseudoscalar that serves as a portal to dark matter {{cite:cc6cacb08dfcc7f72a9468432ea2be27a0d53dc4}}, {{cite:60a6a38bd1cb332a1be11f5531ef05f6ad869299}}, {{cite:b1f01295822240521b50450dcd8145ff8979c9c6}... | i | 0ccf17c4816efe23551dda907b82eeec |
In Figs. REF and REF , we show the results for two different nonlinear systems with {{formula:a86fbbad-5148-456f-821d-a6da1bd2599a}} given by {{formula:6d93d98b-de37-4c79-b8a5-fdc59e505146}} and {{formula:d6d2ed53-ac36-4411-b721-1887ff9a030d}} , respectivelly, both with {{formula:f5807a32-590f-4aa0-b8ec-712c1b6d5bf2... | r | 49779754377608b4462dc9c7baad45c6 |
Overparameterized machine learning models have drawn increasing attention in recent years. These models are usually complex enough to achieve zero (or nearly zero) training error, yet they could still generalize well. One typical example is the state-of-the-art deep neural networks. {{cite:f4b49bb258f119daf28959eb96f30... | i | f227d92576001e0962fe92674098aeb2 |
An axion in this mass range can also be the main constituent of dark matter, in particular if the Peccei-Quinn symmetry
is restored after inflation. Assuming that the PQ symmetry is broken explicitely by a Planck-suppressed operator
{{formula:623a2099-e48c-402f-b477-bc97d4611fc1}} , the observed dark matter abundance c... | d | 35161107810421c4d788f0b3a59aefaf |
A more phenomenologically relevant direction of work would lie in considering the case in which some or all of the Goldstone bosons of the model have some non-trivial masses. Depending on the mass spectrum generated by, e.g., soft symmetry breaking terms or a feeble gauging of all or part of the global flavor symmetry,... | d | 661d89532f599681cbd7791ad7d6f63f |
Let {{formula:6b70bcda-c730-4115-9066-222023ac6da2}} be a linear complement of {{formula:1a97d43f-37f4-40fd-9557-a07876de390c}} in {{formula:43941003-d641-4ce3-88a0-d6348d6e670c}} . Define a linear map {{formula:df2064f2-41bb-4a6b-a4cc-8ead8e74b921}} by {{formula:4e10cdb3-0440-49a7-ae9f-a29f2ccc39f0}} for {{formula... | m | 7f3a4511b5b06dbfd39137a6d1f94e08 |
We evaluate and compare the following approaches: (1) pFedHN, Our proposed Federated HyperNetworks (2) pFedHN-PC, pFedHN with a personalized classifier per client ;
(3) Local, Local training on each client, with no collaboration between clients;
(4) FedAvg {{cite:9b6fed75d622faff8196aa3b5067f7aae060333c}}, one of the f... | m | 67b4cf1070cb99ab09f49f32c2e17585 |
A review of the literature shows us a wide variety in supercluster masses and sizes. {{cite:468da3b2e6c3f0d7067cb62da3807d00b734ed2c}} find a massive ({{formula:e3f1dd04-e695-4c3c-9281-d9aed5e72117}} ) supercluster at redshift {{formula:f5ca71a6-de56-409b-8b60-cf7bca81f036}} , with a size of {{formula:8dfe667b-5612-4cc... | d | 4745b2ea602f1f119a6a46e1c03cdc9c |
In both the {{formula:33761396-a6ea-4825-836b-ba4a8b7b18eb}} integrable case and the chaotic case with random interactions in the large {{formula:53776806-3039-46a6-8109-0ccba65450c6}} , {{formula:92016b63-391d-48d5-ae5e-e324e20c77b6}} limit, we derived the two-point correlation functions of the Abelian anyons with t... | d | bd2b53dad30643c9969cdc1a8d184fb9 |
Multifractal fluctuations lead to considerable theoretical challenges when we move from equal-time to time-dependent correlation functions {{cite:5801f42b068fd96304641d308d5b1389777b160f}}, {{cite:a3c86ad7ddc9c1d22d707885052400ca0a57fa8b}}, {{cite:2a324b4d8dc454b1833fd7c87ecd825a186eb514}}, {{cite:4b41ebf83d80302022835... | i | 792a22a443bab176600b3538c642c8f9 |
Here the results of using the algorithm on synthetic datasets and a real dataset are shown.
One synthetic network used for testing is a set of random Erdös-Rényi (ER) graphs produced and connected together to from a connected network by choosing randomly members to act as boundary nodes.
The other synthetic network is ... | r | fd2dfdac0ef1d327ffb54ec3a09e503b |
In this section, we outline policy gradient methods, which have proven empirical successes
in function approximation settings {{cite:105c7ea7c59209ded6e9c8d5c80aa806cebec2be}}, {{cite:d02fa1df527f44a22408e26ca72b09a2b1481ac3}}.
They requires explicit policy parameterization, which enables
not only learning appropriate ... | m | 47632e6f93a7cf8b6e21c9003a50f707 |
However, using metasurface optics for optical deep learning is not without challenges. Determining the metasurface parameters to produce a given PCE specification, known as the inverse design problem of a metasurface, is known to be extremely time-consuming, because it involves exploring billions of design points, each... | i | 369344b865af1cc71087367c4499c88c |
A coherently driven single two-level quantum emitter is well known to radiate non-classical light, which shows perfect anti-bunching {{cite:17bf60597694079b8af65540a3325b6fce35e8f9}}, {{cite:8124c87e9f2025a9334bc674c9c43150c19528aa}}, {{cite:40159c6ad471e5ed30fb29ccb92d420faa331fad}} as well as squeezing {{cite:5a00c6a... | i | 5d5610d7ec746edb5079af9a24105ca0 |
We have considered the black hole mass dependence of the entanglement entropy of the Hawking radiation obtained by the island recipe for the asymptotically flat non-extremal Reissner-Nordström black hole
under the certain class of constraints (REF ).
The entanglement entropy of radiation of the eternal Reissner-Nordstr... | d | 867392d23f2712de8c149903596e75e5 |
This equation can be solved by using spherical harmonics technique as was done in {{cite:1f9c95721602c11ae72913ab59add4b6b6665ce3}} for the scalar field. But here we shall follow the traditional WKB method for tunneling.
| m | 9db85c31c8faf8ed36a917d375e714a6 |
We use the following standard metrics {{cite:cf88b604a82ce1418e96b00d3a1791ffecdc2b0b}}, {{cite:dcd8046136a4b4e62ff43c85efc8467ae9134f2c}} to acquire quantitative results:
mean absolute depth error (abs), mean absolute relative depth error (abs-rel), mean absolute inverse depth error (abs-inv), and inlier ratio with th... | m | 92edc96291ca40ba0554ec053d58cb1b |
Applying {{cite:09713f46bfdc8da67226658474d840992accd7ad}} in our model amounts to using GMM to estimate solutions {{formula:1666fd9e-e219-447b-b107-af3a9e5e9d0b}} and {{formula:63085823-0d0f-42b1-a018-de7034308f4f}} to the following moment condition:{{cite:09713f46bfdc8da67226658474d840992accd7ad}} allow the instrum... | d | 4dbb7d1ac7c8009c957aec15ddb4ab3e |
Our investigation focuses on the settings wherein the weights of the trained neural network stay close to the initialization.
Further, given the initialization scheme we consider, the {{formula:87e7389a-6873-470d-a686-906ddea04801}} deviation of the incoming weight vector at any neuron of the trained network from its ... | r | 618c4c32be07fe2088fe2d0343ba925c |
Several mechanisms are known to cause strong changes in the X-ray flux and spectral
states of AGN: The first mechanism is changes in ionization state or geometry of ionized or
neutral absorption that fully or partially covers the continuum source {{cite:ede66e086097c0e72c4173cf6c05fb4d173426b2}}, {{cite:5a2e66a2b3d666c... | d | 745d538cc71ba2ac4ac613d8fd3eebce |
Methods such as SPN{{cite:50f289b2cf9a19839ba924885235d9be34d1a9d7}}, CSPN{{cite:fb53111f591c3fceb002080f7d4ca71b15926130}}, CSPN++{{cite:b64a1441d5a9cc06b5c3c46f97aee71c0de28148}}, DSPN{{cite:f5b462ea06bee447078edf182e81c15e50a9b100}} and NLSPN {{cite:6dccee170bf7aba6f6db04d83bd7d824db890f47}} focus on learning affin... | m | de69acbe317131236a18a9f0c1ebb00f |
For the 251 TeV photon from redshift {{formula:df512368-0194-4a79-be80-3656b396b32d}} , the relevant photon field for {{formula:c86e222f-ffb3-4ff9-a7bf-cb0f1c643391}} interactions is the CMB {{cite:f9409884572a96d6faab3a6e6546e2a142a9562c}}, {{cite:d05e6608fe1e91796cbaa32c3e7b4203f1976127}}, {{cite:2a8bdef7ab15cb26fa3... | r | 6c5b1139851dca0089ad7359ba7d0b67 |
It turns out that, in general, this measurement is so-called locally
optimal. This means that the optimal measurement depends on the actual
value of the parameter we want to estimate and the classical Fisher
information given by that measurement is a local maximum in the parameter
space that characterizes the measureme... | i | 1feb7ffe5b1070acd44594627d673212 |
In the OOD experiment, to prove the generalization of the method, we used three different backbones, VGG-16{{cite:c9e3e5b87429a246b81d652ab80d29ed4b4bbabc}}, ResNet-18{{cite:6ea937d1680055cc4aa2a846a44436b80a2f1785}}, and WRN-22-8{{cite:320a0b7f101a6fe1da4aae2753b193d2d9b91a7e}}. They are all very classical network fra... | m | f59d9a653b7c2bc74c93aad76c44b10b |
The extracted invariant mass agrees well with the values published
earlier for the {{formula:af9aa7de-1df2-4da1-84f0-ef0c5c6bcfda}} Be {{cite:de63e1d051e0b5a690ef57e85060e39f6844165c}} and the {{formula:5025dd23-51f9-45cc-837d-6ccb64051aa7}} He {{cite:e8e221d9f9abd98b71ed4a5fe8ecc769ccacd267}}
experiments, which provid... | r | 402ad05f0a9576aac190bff6da4e2669 |
In this work, by using OP and OPAL opacity tables reconstructed with AAG21 and Caffau's mixtures,
we constructed rotating solar models in which the effects of convection overshoot and enhanced
diffusion were included. We obtained a rotating model, Copal11r, that is better than the SSM GS98M
and the earlier rotating mod... | d | ac33365c24c98d5d2f3cdbf599422025 |
ODIN {{cite:22f69e423182444135c3c979f9a1a8a98e5339bf}} and
| r | e2809a8f93ad737bad05c28102201b86 |
One of the original motivations of the cosmological inflation scenario proposed by Guth {{cite:b40635f26c003b1c2675086e1fbd7a34cfdba189}} was to solve the monopole problem by diluting the monopole density.
If the value of the Hubble parameter during the inflation {{formula:1a51a73e-dbec-4638-948c-c68c6c6770d8}} , both ... | i | 25534ca961dc27e0dd7cdd981b4d30a3 |
In principle, one could instantiate a hierarchy of CCNs, where higher level CCNs process the output of lower level CCNs, effectively modeling part-whole relationships. This is similar to Capsule Networks {{cite:6b37abda861177686b741d12d7f00fae31d0d3e1}} and GLOM {{cite:e2ad542b8fd2aa4326ba1dc91697b86ffae4ae9c}}, and co... | d | 00a42cdc96afe35ceb07bce29a66c28c |
Though we propose a comprehensive framework to synthesize surface code on various SC devices, there is still much space left for potential improvements.
For example, besides heuristic data qubit allocation schemes, it is also promising to train a neural network to allocate data qubits.
Non-local bridge trees may also b... | d | 90cf8daddf436f926c1e080845001950 |
We will model floating point computation in a precision {{formula:c3f6b170-499d-41cf-b631-96c559dc341f}} using the following standard conventions (see, e.g., {{cite:6207d346509ff2e2b0c831267be3cd46f85f25bd}}): for vectors {{formula:41415114-56d3-48cc-9b2d-390ea6f698e3}} , matrices {{formula:fecf29df-d439-490d-9df6-16... | m | a23231af6182cb6951fc4871bc518242 |
In our algorithm, as motivated by Section , we effectively consider the following joint distribution on the graphical model shown in Figure REF : the prior distribution of {{formula:7b1803fc-81b9-473d-acb2-af7920f2a663}} is {{formula:b8ad1c22-4dad-46c9-bde6-cd054c0ecebb}} , and the distribution of the rest of the grap... | d | a193318f7ec937f665c23755ee0e2bd1 |
In this work, we implement a Susceptible-Infectious-Recovered (SIR) infection process {{cite:cff0c2de774c1d4460a9bc7e8107bb62b7d0df17}}, {{cite:6446063ad116f5b308b0bc4048dca9fd3934b76b}}
in a system of self-propelled agents with alignment and repulsion interactions to explore the impact of self-organized spatiotemporal... | i | b81a68c7b79f37e3cb4eb6580d07921a |
[leftmargin=*]
Graphs usually contain rich saliency information and regularity structure (e.g., functional groups in molecule graphs, coalitions in social networks).
Thus, randomly corrupting their properties (e.g., topological structure, node properties, or edge attributes) could lose the discriminative semantics, mak... | i | 97155c317628171397ec9725294e6d7a |
Polytrope gas sphere was once used in the early study of stellar structure {{cite:9515134aee9bc4e8a32ac9272f4ecff4ebd362af}}. With the development of modern computers, researchers tend to solve much more complex stellar structure equations {{cite:97e4be40d338b00b8f357050e684833cfda98b45}} with sophisticated numerical c... | i | 623ef86fd7e9eeda51894a3db30bb43f |
Galaxy clusters are the most massive structures in the Universe, and are therefore powerful cosmic telescopes for observing faint and distant sources via the gravitational lensing effect {{cite:8c12073a4264ca3bad9790b78f29c71f72d7b16e}}. When a background source galaxy lies behind a galaxy cluster, the light rays that ... | i | b35c71383ea21390e2403a2182fe5db6 |
where {{formula:efa182d6-fdc4-44df-8157-e7f26d03c952}} .
One can easily verify that the characteristic polynomial of {{formula:7067e305-b51e-4802-9c9b-9319688d9779}} is just in the same form shown in Eq. (REF ) {{cite:bcef20de85106bff03b995de1bdf375130fe0029}}, {{cite:cb73e92195b2878c52e79e82a421d8fd1ab26a35}}, and he... | d | 54d1fb7436320e3eb763673d868e5099 |
Imaginary parts {{formula:c1d9d61f-8faa-487f-b80c-3e683fb95036}} , {{formula:c4a6d5d8-9c84-45a6-83db-0bce59826afb}} can be calculated using the Mandelstam-Cutkosky rule {{cite:de52ad13076a125293abcd9e231c3f46d72bf530}}, {{cite:c32a678364b97f04ca69539b7fb51d7d1658c8a6}}.
For example, the imaginary part of the function ... | m | 23c033a3641012ffa99c2b2644df1fd2 |
for any subtree {{formula:f718b698-8eb6-45a5-94d4-cb75f6ced85b}} .
First, we use the fact that {{formula:43f5f9a1-dcda-4690-bd08-05858db6f56e}} is a {{formula:35163057-4d93-41ef-bef8-187a761576cc}} -exp-concave loss function, hence {{formula:d02c6e19-67c6-4f89-b920-4c8ffcc2d023}} -mixable, see Section 3.3 from {{cite:... | r | f1a15485b6c434a694183cdcde8f9b0a |
The function {{formula:5acd726b-383b-44aa-9290-c2205ae42356}} can be interpreted as a probability to be at point
{{formula:a308b1d2-0110-48e9-b693-00b4958fdf39}} in the collective space. The GCM+GOA provides a general framework to
compute the collective inertia tensor and various zero-point energy corrections
associa... | m | a79101adbb88ee33dce51b5fd0a94589 |
As we noted previously, one of our goals is to make the greedy algorithm work in the distributed HPC environment.
Since this tiling solver would run for every program executed in that environment, it must allow running at such a speed that it does not significantly impact the actual user program's total run time.
With ... | r | 563841887fdca8dc9c24d203dd19670c |
Note that assumption (1) is standard when analyzing the stability of optimization algorithms {{cite:05bc5f6e2f628ff5e2d8d49574c1b620e3f625fe}}, {{cite:5b673f30654d36fe57aad954fc9d78e7f90e27e8}}. Assumption (2) is easily achieved if we restrict our domain to a compact set.
Assume that we run the AOM on {{formula:6ae6959... | m | 0f1b406be18bffb6d1ff72535b3fc15e |
We first evaluate the performance of VoxSeT on the Waymo open dataset. The results are summarized in Table REF . VoxSeT outperforms most of CNN-based models, leading PV-RCNN {{cite:67c8fa8a4cde2566a80b20d44fe265c97b8396cb}} by 5% LEVEL_1 mAP and VoxelRCNN {{cite:a159e1e9d077c3544e03196f947e01d9b33992d6}} by 2.4% LEVEL_... | r | 48c1533fd816ae16c4dd308bc1ec5612 |
Pulsars can potentially emit electromagnetic radiation via many
mechanisms {{cite:f35b6898a509fcac99dc598431f2d3fb7f621282}}, {{cite:d20f41f30aaa6e73bec31bc8460c22168b6c9bd0}},
including thermal emission and other processes in their hot, plasma
atmospheres, and dipole radiation from the rotating magnetic field of the
n... | d | d207b0a86f283cfeeba5dfbea2ceaa9d |
We implement TTransE, and TA-TransE/DistMult based on the implementation provided in {{cite:897128f1fcf908d33749d6386a405f3c8bd441a2}}. We use the Adam optimizer to train the baseline models and optimize hyperparameters by early validation stopping according to MRR on the validation set. We set the iterations to 1000, ... | m | 909cd2ceb1ec756ef5c14eddb747a55e |
To supplement the results of the experimental measurements, we have performed calculations of the electronic properties. The electronic heat coefficient {{formula:9e11d54a-e41f-454e-a2d6-e657eeed883b}} is directly dependent on effective mass {{formula:61f1f494-c503-4ade-96c3-aa14cdb6d0f9}} and carrier density {{formu... | d | 622c574c0b52402186133f88bfabf707 |
Our method in this project is mainly based on the GE2E model proposed by {{cite:b590fc5069d124484f30022c30969c291d58237a}}. The main advantage of the generalized end-to-end training is that it enables us to process a large number of utterances at once, which greatly decreases the total training and convergence time. In... | m | 5aba6f95e917f85f5c1b4ea0ab3708b3 |
We show our results on the VisDial v1.0 dataset, where 123,287 images are used for training, 2,000 images for validation, and 8,000 images for testing {{cite:03a3003ace31ba505d279fee901cd06d62abd2cf}}. Each image is associated with ten questions, and each question has 100 corresponding answer candidates. We use two MRR... | r | 275b5e823033e66ba25446fa62fc6125 |
The large-scale structure of the Universe, as traced by galaxies, provides fundamental physics information through its connection to both initial conditions in the primordial universe and general relativity through the gravitational formation of structures on the largest observable scales {{cite:063e54990c0a44f0e58a510... | i | 9f4390b79b0fca96d926ceafb3160954 |
We introduce the main model architecture in this section. Each subsection forms the foundation for the next one. Section REF describes an attention based network inspired by {{cite:0ee7e258ea9eb4ffc0be47cd5d65b2aa3b402f32}} that exploits the correlation between the current ranking task and the entire historical sequen... | m | 223273c2574add6a1f923b1bdfe3bdcb |
[leftmargin=*]
GRU4Rec {{cite:d3338399546a77924653393e25e2a141edb7b4d5}} is a GRU-based session-based recommendation model which also utilizes a session-parallel mini-batch training process and adopts ranking-based loss functions to model user sequences.
NARM {{cite:6c9ab2fe96388d01b7a7c2608417b2d5274ac5cc}}: is an RN... | m | bb99ba4f368f8c3fe1ec8226631a6076 |
MS-COCO object detection.
As discussed in previous works, the performance of the object detection task greatly depends on the quality of deep features to locate interested objects. This rule also stands in transferring knowledge between detectors {{cite:12028055608680ed1550cd69a361b4102eeb6f7b}}, {{cite:a99679553bc2055... | r | 3f8315222731169b345ccc4fd97f729d |
On reasonably regular graphs we expect the contact process to show a phase transition in the infection rate {{formula:fef3a590-6c8b-4a31-abe6-7d640f03416c}} . There is {{formula:04518b1a-197c-4188-9e9e-865645ce0705}} such that for {{formula:df748689-0cc9-4e20-a2f5-4e14c892a286}} the expected extinction time is bounde... | i | 19f2b15c51a63dae0c99236060dc3650 |
Baseline: We compared our method with a standard VGG-16 network with Batch Normalisation {{cite:3a1768f49b1fe832bdb95af911c5e48934ec658f}}. We ran the following baseline experimentation:
| r | 18ba8aea944050f4e8e9da98b352b46f |
{{cite:ed2e65993210fe7b8f1492936a6ee609596e6dc3}} experiments using PCA and found that the majority of variance in weight updates lies in only a few dimensions. Perhaps these few very important dimensions are preserved with IMP. It could also be the case that larger learning rates could dislodge the weights from a grad... | d | 54e4928a0d123b1a4c0bd8db2ea1ba8d |
The dashed blue line in Fig. REF b shows the {{formula:fe1dddeb-8a67-4074-8728-ad2c597cd8ad}} -factor obtained from Fano fit on the reflectivity curve obtained from the full vectorial simulations (calculated as {{formula:43603b40-a9c4-45df-9edd-55cfa0f5aa5f}} ).
This is in excellent agreement with the eigenmode analysi... | r | 4cb49a91dfba8e3a54690665ff5de19b |
It is possible to see a closer analogy - from a formal point of view - between the vector-like theories and chiral theories, if one considers
color superconductivity phase in the high-density region of QCD {{cite:e1aaa6975895c52d7130810d8ebd7236b077d1e6}}, {{cite:9c6e09c8c5396fc8b063db2a8b86f60428cd54a5}}. The dynamics... | d | 008f783d3162ce7eb2c1c59d74fabb2c |
Several real-world phenomena involve the emergence and spread of novel traits in populations of interacting individuals of various kinds. For example, such phenomena may concern the propagation of new information in a social network, the sweep of a novel mutation in a genetically homogeneous population, the rise and re... | i | b03c851a7d48b01e61957259912bb3b0 |
The extension of these systems to more than one local moment gives rise to models of molecules {{cite:553cff4a9989d84a70350711d5fb18dd4e2886a1}}, {{cite:8065119c94e5a922e3d693b37f5bd61ed696d548}}, {{cite:154d6a497ea66e4d3925c773637684a229901d42}}, {{cite:128326f964f67e56ae45fd1262f6203155d404af}} and spin chains{{cite:... | i | 70f12ee2049cbf79de1bed050960d319 |
Section REF compares GSAM to SAM and vanilla training. In this subsection, we further compare GSAM against Entropy-SGD {{cite:1ac760d10b486c14a7b6662f0f4a4bd019e102e5}} and Adaptive-SAM (ASAM) {{cite:6ddfd6171382d25fd97be56d767e528108132993}}, which are designed to improve generalization. Note that Entropy-SGD uses SG... | m | cf04ef80455f89970f9c711b92273ed4 |
Replication of results. The numerical example of sec.br is tackled with the open-source finite element environment FreeFem {{cite:10b14c9050a572280ead013222dde2e8283dd0c3}},
and the precise source code used for the resolution is available on demand.
The treatment of the numerical example of sec.canti relies on minor ad... | r | acfb5758d3185da65ad1e243104e6be3 |
Results on Real-world Datasets.
We also compare our AECR-Net with SOTA methods on Dense-Haze {{cite:25040b82b4d420b5e1f6e347d443c932815b22c2}} and NH-HAZE {{cite:78e60a93c3b403c96a3f26602a299b0f8a0d855c}} datasets.
As shown in Table REF , we can observe: (1) Our AECR-Net outperforms all SOTA methods with 19.88dB PSNR a... | m | ef0e96fec8d816c317cc41f09ef5a192 |
Another relevant aspect concerns the ratio {{formula:074d91f4-ad76-4e46-b3b1-6b6f84070e1b}} .
If {{formula:55c953fa-0184-4c15-aef2-c042e4d1d27b}} ,
the bad conditioning properties of {{formula:787fb10b-d4f7-4a04-b08d-d320598dace0}} inevitably affect the consistency
of principal component analysis (PCA) as a factor mod... | i | 18256a9605a98091312cfd53ae7fe831 |
Inspired from Bell inequalities of two parties {{cite:bc7ce2e56510ed0c8c61f8cbefe8f5e7088f2c8d}}, the multilocality of correlations of a network follows from the GLCM {{cite:f92161ba09996e59d17310b541059463add7ad1b}}, {{cite:1b094d2577a656ab5acd02ecc4be3dec64822377}}, {{cite:a1b46687adba78c86a872af338fce897e6de1637}}, ... | r | 5bf1ec4c40836c7504c10f52e6d80419 |
Remark To show that {{formula:7334d7c9-d4a2-4a86-a4ca-1e9ebc3323ce}} is proper, we shall use Theorem REF . Hence, it is enough to assume that {{formula:ccf82937-7b84-4bb7-bd2c-af4ee1719dfe}} is a pole in the sense that there are not conjugate points along any geodesic emanating from {{formula:a7faa5eb-dd75-4019-b9f1... | r | 186d5a27926313b626ef8e7e7a460c2b |
Given one observation of such {{formula:739ca279-c6e8-4a3e-9b12-90aaf4f8f3b3}} , our goal is to develop a simple and scalable algorithm that outputs the true partition, i.e., {{formula:33f4960f-180a-4b4a-90a1-970561484eae}} for some {{formula:8885d994-0634-4cb4-8686-b7e45b1d9602}} , with high probability. Since exact ... | r | 47f2695fcbc8dd26695ce045cf4febd6 |
We have studied here the mass spectra and decay properties of the {{formula:b6583d06-0bdd-4f20-b6b2-994ee61ba58c}} meson in the framework of relativistic independent quark model. Our computed {{formula:5208e41b-41d6-4ca8-a2f8-537f8f4c5c91}} meson spectral states are in good agreement with the reported PDG values of k... | r | bb9419b9a3ca7e50028da5da31d75c72 |
OJ 287 is considered as one of the best candidates for harboring a binary black hole (BBH) system in its center. The updated BBH central engine description for OJ 287 allows us to track the changes in the orientation of the accretion disk and the primary BH spin {{cite:7d07916c13fc21528069bcf3178888825ee3dde4}}. Howeve... | d | 83be8c8008ed3686ffe808488f8163ac |
We start by reviewing the basic tools of the ambient space, developed thoroughly for EAdS{{formula:e426d5b7-04e9-4743-bc58-894862e57541}} symmetric traceless tensors by {{cite:99e18a93fb041c302955b3cfab71db2bd3524488}}, adapted to dS{{formula:af980fe0-4f53-4127-b58a-bd81f4683d30}} . Our aim is to set the logic and not... | m | 27da77da4516f9b87550cf5e1caa9950 |
We address this issue using Point-NeRF, a novel point-based radiance field representation that uses 3D neural points to model a continuous volumetric radiance field. Unlike NeRF that purely depends on per-scene fitting, Point-NeRF can be effectively initialized via the inference of a deep neural network, pre-trained ac... | i | 3fc2b52d617a7d38c024df6199fc8532 |
Our choice of circuit width and design was motivated by Ref. {{cite:a94fb71c8ac3141610fde68cfd19962cb9184631}}: it was shown that to fit a polynomial of degree {{formula:16ff915f-69ad-4a66-ad03-465b78485a28}} , then a circuit must have at least {{formula:41e65d22-7bac-470c-a7d5-c1ac74ae9954}} qubits. We initially assu... | d | cc70b73798030d35242a7b95c63fab19 |
Here we additionally report the quantitative comparisons to the concurrent works NeuLF {{cite:7cad239379557f51dd64c36566f953f992b824a2}} and Ray Space Embedding Networks (RSEN) {{cite:b9234447fcced468ba471a383babe6dec0f67cb0}}. Since the codes of these works have not been made public yet, we compare the quantitative re... | r | ed54e89e535f446d8b2bc810fa346ad2 |
As a side point, we note that this method of carrying out arbitrary transformations of variables is standard in statistical physics {{cite:a556645ed6257932b7b5ae090ef553e72dcda5f2}}, but is apparently less common in statistics {{cite:ee9154110cf3e0c2299c6b3871263103fab7733b}}, {{cite:a2ac18ec05c3a40c47a5ab5104e8f882505... | m | e82109e703ea7285b6ca4704f52a72ea |
Wide field imaging has been a main tool for the survey of intracluster GCs in the nearby galaxy clusters {{cite:be818c9d80a43575ff993bbb68525adb6a3fe6ab}}, {{cite:73fcf8f65d9d7fe7e6dd1cb3bf8a774a6134b528}}, {{cite:bf5a847ece881783718d8f1a5553eb401bdcc47d}}, {{cite:ee52eb24c386c63c92c7c05b163bc1eddebc4e41}}, {{cite:6dae... | i | 8f693e5f3ed2456670f08b104bc7b286 |
Sentence-level Argument Role Mining. Our data's argument role annotation is at the sentence level, thus, we perform sentence-level classification experiments using the same data splits employed in summarization to detect argument roles.See Appendix for argument mining training details.
We experiment with several conte... | m | 70a0878f8e782b0a057907f53d6d5408 |
The prediction of flows through unsaturated porous media is of great importance in a wide variety of applications in science and engineering. There are plenty of relevant applications in many fields such as hydrology, agriculture, water resources
management, risk assessment of environmental contaminants, enhanced oil r... | i | 411a6e1a87296942ae8770991474aeab |
Our goal here is to illuminate that evolution by considering a closely related yet simpler
physical setting, where a spherical particle levitates above a liquid bath owing to the Leidenfrost or inverse-Leidenfrost effect. To that end, we shall employ scaling arguments and the method of matched asymptotic expansions {{c... | i | b0a15a5d065d8ff4db335e79f85606d5 |
where {{formula:65abd0a6-0c91-4988-ac08-0770e855a485}} is the excess flux in a specific wavelength interval {{formula:9d920743-8d23-4034-a75e-0620c2df2bd1}} (in {{cite:8f154969db94e5f0125cd095c9d188eee91e22b2}} intervals of {{formula:48e0a68b-f71d-413a-b7b6-023c103ce7c4}} Å are used) and {{formula:58bfefee-c995-4c7f... | m | 3b4dd51a477161d42541f5cce5aa71db |
Table REF shows the confusion matrix for the visual Turing test. Differently from our previous work on GAN-based {{formula:a63c426c-7cd7-467f-8102-f01300157a3a}} /{{formula:7e848d1c-c31f-4fa5-955e-7fd1c25151ec}} MR image generation, the expert physician easily recognizes {{formula:bb72d0d9-5207-4c9c-9658-7d35111dc374... | r | 75e0d9701a884b773eed3bfdcb20337d |
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