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Multi-scale models are aimed at providing an efficient and more accurate representation of a complex system by coupling (sub)models that address different features/attributes at different levels of detail. However, the modeling of such systems is far from straightforward, not only because they are made up of dynamical ... | i | 8e27216d0d263869f915a97ea5c2faf8 |
Query and Attend is a context-aware local feature processing layer. The key design choice of QnA is a convolution-like operation in which aggregation kernels vary according to the context of the processed local region. The heart of QnA is the attention mechanism, where overlapping windows are efficiently processed to m... | m | d0818e1e6b17a06e1def6343b2a9c05e |
This can be established, along with
the recursion relations:
{{formula:16dfc466-1019-45c5-9bd7-ed11db4fc8c1}} ,
{{formula:d00248d7-6846-4146-8a6b-cebd4a83fbfd}} , and
{{formula:b370e9e8-1df3-48ab-bd5d-6f06c34326ee}} (with {{formula:7fd7455d-e47f-4f9b-88c7-2de82e18573a}} ),
by repeated application of Weber's second exp... | r | a96285fbe865d8a48dee3930a0245357 |
As stated in Section REF , the deep learning approach is based mainly on matrix-vector multiplications, which are highly well-tuned and execute on GPUs. Unfortunately, this is not the case with direct sparse solvers in the implicit finite element method, which are frequently the only robust solver technique, but to dat... | d | 512dd023d4ed40a0beddb87eb3116e86 |
A relativistic particle with a spin more than two is commonly known as a Higher spin particle. These particles are necessarily massive since it is not possible to construct interacting, unitary, Poincare invariant quantum field theory for massless higher spin particles To be more precise, it is possible to have a theor... | i | 92bb8b965b443edd928f7fe811752bed |
Perspective manipulation.
Portraits taken by wide-angle cameras exhibit undesired foreshortening distortion due to the perspective projection {{cite:9ea192e6a25628d23c2e2f12fd902723c7c4a958}}, {{cite:50b4ae525b2314aa0e862a666b7ba9479bf6857a}}.
As our representation is 3D in nature, we can render a new image by virtual... | r | 5a086806ea2c489f570fc24f70830c1a |
i.e., a function of the resolvent {{formula:71bf1381-28e1-43fc-a035-8ab49b6bea3a}} . The resolvent is highly studied in random matrix theory (see for example {{cite:86549a1abc693a1a4a3b6767eed02601d33c942e}} and {{cite:cbd4bfbd9bb88acfecf9f9f0b05914ba933aeb19}}) and there are many techniques available to estimate it.
| m | b704f3b613ee503d0292b42d9756a8a0 |
We evaluate the sample efficiency of our method in the competitive environments on the Multi-Agent Particle Environment {{cite:ed8b8554fe3b4fc6cd5cc5586d38dd29f6a24dab}}. Three scenarios are included, i.e., 1) Keep-away scenario with an agent, an adversary and two landmarks, 2) Physical deception scenario with two agen... | r | 818f0b9b62b727d40080d6207159c437 |
Speed comparisons of Different Devices: We have reviewed the computation speed of different devices, including V100 GPU and TPUv2/3, which were used in previous work {{cite:0847a9bdad36aef21d8b40189d1af7f2a3a0a17a}}, {{cite:dddfa3250574b94fee563a26f9885e3966590518}}, {{cite:2c88af3713b23b44c1157fa712bf3770bf84caa4}}, {... | m | 562748d0caf3936bc5452f7352d999c6 |
In this section, which broadly follows the lines of the proof of {{cite:8bcde616bab8f7af1cbdf780d4e2c00120cc9235}}, we set out the key elements of the proof of Theorem REF .
| m | 4d36cd64987596eaf731c052450ae63e |
Computational and mathematical models are versatile tools, providing valuable insight into complex processes in the life sciences. Models can further our understanding of mechanisms and processes, facilitate development and testing of hypotheses, guide experimentation and data collection and aid design of targeted inte... | i | c2fc1ca5b64266e7bc3971b2703dbf73 |
The most significant anisotropy in the distribution of cosmic rays observed in the studies performed above 4 EeV is the large-scale dipolar modulation of the flux at energies above 8 EeV. The maximum of this modulation
lies in Galactic coordinates at {{formula:121e87ed-9279-4834-9056-4200abfe27b4}} , with an uncertaint... | d | ceecc92e246800c2c3c230dc72acf810 |
The basic idea is to define two indices: allocation index and deterioration index. The allocation index is (to be derived) from the AI model of interest. Conceptually, AI models are abstracted as “resource allocators", such as predicting the probability of Intensive Care Unit admission. Note that the models themselves ... | m | b3391529ad4f35d6a3aae55bdba2dc2a |
First, we investigated the gain-gain modes coupling that has not been paid attention to in previous studies. The mode evolution can be predicted by the phase diagram and exhibit the properties of PT-broken. This system can be used to improve the optical power of classical devices and the fidelity of quantum devices. Th... | r | 09eca715fa2a1ac38e65e6f0b6233e6a |
Our main contribution in this paper is to extend the GM-PHD filter, initially proposed for the tracking problem {{cite:993f02e0e8e813c06528b4d44e07e21835bbc5da}}, to allow for search and tracking with a limited FOV robot. Our second contribution was to incorporate non-linear target prediction using GP regression. The c... | d | 31cf2173ba6b012f26e0dd5d9c948968 |
Finally, even if one's initial intuition in data analysis could be that "more data is better", the addition of interaction network layers also brings additional degree of freedom {{cite:54219bdc7d437607cb7ddbd6d895cc14bb6b18d4}}. To evaluate the pertinence of the addition of multiplex networks or the addition of layers... | d | 74bbcc87f5a524be2f388df06138d00f |
where {{formula:f63cb1e9-4a5c-4ed8-ab4f-43dc01e6046e}} is a trade-off parameter between the loss function and the low rank regularization induced by one nuclear norm {{formula:4ffaf8b8-43b3-4f74-9bc1-c4347bb797c9}} . We will briefly introduce several nuclear norms including standard nuclear norm {{cite:a13d900bbc88cb0... | m | 386f21c3d11e88d8ae4e00f4e5c7a0da |
Fundamentally, quantum randomness always comes from the unpredictability of state collapse induced by measurement. This unpredictability has previously been ensured with quantum features such as nonlocality, non-contextuality, state distinguishability, {{formula:3b6d16a7-2d4e-44a2-b2dd-5ec0e62b1c2d}} {{formula:fcfcee8... | d | 748480fe3be8ce420680f91eec953262 |
The existence of such currents in the early universe would break the homogeneity assumed in the cosmological principle, but inhomogeneities must occur to seed the formation of galaxies. In the literature, we find that the production of electric currents in the early universe has been discussed in the inflationary perio... | d | 9b29ff1e9206036cd7c370aac3bdb978 |
We benchmark our method with (i) uSARA (Algorithm REF ) solving the unconstrained problem (REF ), (ii) SARA {{cite:1d020f3b2e4c7ac29fc2aa8eb8e5cc111aaeb60e}}, {{cite:dc8eb73ba4d9e64853964bf44ec43e28cdef346b}}, solving the constrained problem (REF ), and the multiscale variant of CLEAN implemented in the WSClean softwar... | m | 6a27ad136a782a5128afdabdaec77f80 |
Robustness under AA. To further ensure that FGSM+NoiseAg do not benefit from gradient masking, following {{cite:fdbbf82bd403fc6d77b3e86a13a74f13b9f7ea89}}, Table REF report the robustness under AutoAttack (AA). We observe that FGSM+NoiseAug achieves superior robustness against AA.
| r | 9a5977084c21ca18128e04f2ab770cd3 |
Traditional 2D image and video quality assessment have attracted a lot of
attention in recent
years {{cite:80406c4179649e398b06c38c1962fcf9175196fe}}, {{cite:c227656c6e46819061dce103d870e4a55ecc5526}}.
Some objective IQA metrics are well-established today, e.g., Peak
Signal-to-Noise Ratio (PSNR),
Structural Similarity ... | m | 2d7350421b95f8468c1db29e1965350b |
In sec:single-crt we have described three
perspectives on conditioning in randomization tests: conditioning on a
set of treatment assignments, conditioning on a {{formula:8fe9b6a4-5b9c-44e4-af0c-13eb2b0cc0a7}} -algebra, and
conditioning on a random variable. They are useful
for different purposes: the first perspective... | d | 2f1e6aab2cd053edffc5c33f469b285c |
Results on the UTD-MHAD dataset are shown in Table REF . We compare our approach to the baseline of the authors as well as a more recent approach {{cite:cdf4a8768f16d3e34e9622720644f01fcd9699c9}}, {{cite:1240bfb3c3752c3ad6d0e1497022b8a4c2bce227}}. While Zhao et al. {{cite:cdf4a8768f16d3e34e9622720644f01fcd9699c9}} perf... | r | 519bb21772833e3aebccb2a828b03e88 |
In this paper, we propose a novel codim-n holography, called cone holography, which conjectures that a gravity theory in {{formula:0bf20f15-fff0-4158-8b26-37283fe7b7ec}} -dimensional conical spacetime is dual to a CFT on the {{formula:2dd748f6-e448-44ef-aacb-7b5afac8c346}} -dimensional defects. The cone holography can ... | d | adc6cf69e66e19cb718fa97a5b8de6c0 |
Relation to Multi-Hypothesis Models. Some recent works generate multiple plausible hypotheses {{cite:36568d12e53f8023d1bfad3083a631878660c13b}}, {{cite:cc2a36bee1c0a2b1f4872d259450a754e9588605}} and use extra information at test time to choose the best hypothesis. The techniques include training a set of models with di... | d | 211c62bf8bc58263266b744e487bad28 |
This framework on one hand allows to define many important decision problems.
On the other hand,
complexity classifications of the flavour of
Schaefer's theorem {{cite:4fd79517d9f80a3014da66acd0b9ecd5fa0bd6de}} these problems tend to display
are of theoretical interest. Directly relevant to this paper are temporal CSPs... | i | bdbf747aae330ae35d6f8e2f1278e972 |
Transformer models. Four Transformer-based models are also implemented as benchmarks. ViLBERT {{cite:e0c2035869ce0745c3c20225199a2edc0345a827}} and UNITER {{cite:d8e67f7c86305c450e5e003fdb1adb1320ee3039}} are two Transformer-based approaches that take image object proposals from Faster-RCNN {{cite:ec816be44c501cd3a2e8e... | m | 2ce8fe9a894492a19673d916c9472aff |
Emission obtained with the method described above is obtained self-consistently,
and automatically accounts for magnetic field structures on small scales responsible
for jitter emission. By performing such calculations for simulations with different
parameters, we can investigate and compare the different regimes of ji... | d | eaba23b77a32188978cc71910a45214f |
The depolarizing channel {{formula:af612d17-eeba-4d57-b92b-be881328bb54}} is one of the most important and fundamental quantum channels {{cite:80557b31a5273aef3e8a5bcf06fe6e002f4a0ec0}}, {{cite:e0eeb2704bd952885d1b5fe248221371ec5c38ca}}, which is useful in modelling noise for quantum hardware such as the superconducti... | i | 92c5f110abc6369033135550bd801240 |
where {{formula:10174097-7e71-462e-b1ee-77b8f5db62be}} is the total number of sites, and the summation is over all sites of the sample. Here the Green's function {{formula:191ab1c9-9562-4cb8-81c6-755866043682}} can be the dressed one {{formula:9b09085c-5899-4bd2-b9c2-dfb499467cc3}} defined above,
or the bare one {{f... | m | 3279e8bf236870e6aecac0bb387e2695 |
where the second term denotes a white noise. Since {{formula:b5bbb114-b2cd-4702-85cc-6e4128d47c49}} is related
to {{formula:d6193ad2-1243-47ed-99f0-ccdc311c99e9}} by Einsten's relation, the motion can be described by
only one parameter {{formula:e27591e6-6f78-41cc-a608-352726ac237b}} . This formalism has been very su... | r | 4404e20020cff3a66b26939289bd4053 |
We conclude our paper with two interesting issues worthy of further investigation. The first one is related to the Gubser-Mitra conjecture. As alluded to in the introduction section, Hollands and Wald proved the Gubser-Mitra conjecture for black branes in AdS spacetimes by resorting to the criterion they established fo... | d | e028ce77460a4a5d80d927ee764dc994 |
The bridging between approximation techniques and high-performance computing finds numerous fields of applications in the industry as well as in academia: it is sufficient to think about heat transfer problems, electromagnetic problems, structural mechanics problems (linear/nonlinear elasticity), fluid problems, and ac... | i | e2ee6b3a10d949c21c58d637c10535de |
It is interesting to make a comparison of Theorem REF with what can be obtained by Gallager's method for nonlinear code ensembles over the erasure channel (see {{cite:dc57d76d163e239d9bf62237cca249c1de6709ca}}): consider the ensemble of all block codes of length {{formula:44d555c5-17f6-4550-90db-380597590846}} and ra... | d | 987a0dea6f78edb0f85977b4be37d027 |
The influence of QED vacuum effects from strong magnetic fields in the
vicinities of magnetized stars has previously been studied by several
authors. The combined QED vacuum and plasma medium is discussed in
detail in the context of neutron stars in {{cite:74f096d55fc7232931d4398787fe67589b8a79ca}}. Vacuum
effects have... | i | ce6419ae26f71688077ee5a2fe0c243b |
For AwA2 {{cite:4cd7e531c69618704432218e1c743bce0aebe6c8}}, our GDAN outperforms some recent methods like SP-AEN {{cite:fd6b933c8ead6f39de7e32739e97c69ac5225c3f}} and PSR-ZSL {{cite:e3f5c4131c48b29a53ff0440a353e02a93affaa0}} in both unseen class accuracy and harmonic mean accuracy. Although DEM {{cite:840b10ee81d85292... | r | 85dd0bf6fc2dbe15a99477f957eb5a72 |
Feedback is still a relatively poorly understood aspect of galaxy evolution, and it is particularly interesting to study if and how this phenomenon occurs in AGN in early phases of their life cycle, that is when they are "young". Carrying out such research at high redshift, when all sources were young, is not an easy t... | i | db9c8a73a7476a1cc0ecd5dfa1c55afc |
We also reproduce some recent advanced algorithms {{cite:c4217486a3c5b5f3664383e7b458868663b5a498}}, {{cite:aa39d35b9c111f5d5756671cb938cbefb2756901}}, {{cite:d0b95920795773fc6034113cb2b48c0f701d3f48}} to validate the effectiveness of our hubrid model on the dataset we created in Tab. REF . The performance of our met... | m | 3496737e4759a206c75ab15918968e30 |
Since the relative translation observations only contains the movement directions and not their scale, solving the viewing graph is the challenging step in the SfM process. To simplify the problem, almost all viewing graph solvers determine the rotations using only the rotation observations and then use them to compute... | i | efceecde4413bcd2d16cb22094ff1dab |
To achieve this, we first put back all the stride convolutions removed by DilatedFCN, while replacing all the dilated convolutions with regular convolution layers.
As shown in Figure REF , the backbone of our method is the same as that of the original FCN, where the spatial resolutions of the five feature maps (Conv1{{... | m | a9713dfcd1c2a074d134b4bc06504bc8 |
We now investigate our method to solve stiff systems with complex entries (i.e., advection problems). The second Dahlquist barrier states that the stable region of a multistep method for a stiff equation shrinks for accuracy orders higher than two (see, {{cite:cdebb1529fae1f1e6b82e2c22f1725bcaad94bfa}}). Our approach d... | m | 0bb0884d0ef233f7cca7aeac0ff0ab53 |
Active galactic nuclei (AGNs) are thought to be powered by supermassive
black holes of {{formula:9848628d-26a4-466f-ace6-b66d177d85ef}} accreting the surrounding gas {{cite:a509a8bb2a151009ed209188afaa4c5c3f17c25c}}.
They are also considered to be scaled-up versions of Galactic black hole binaries (BHBs, {{formula:e5... | i | c5707acea70e513454114bf8001a63ac |
In Figure REF , we provide the examples of frame-level video scene graphs generated by our model and RelDN {{cite:4d96a9345e6bbc7b0810893dff6e17ff9424417c}} in AG dataset {{cite:96237c4797fb1bf673ee58db1ac2b00d1719948c}}. In Figure REF , we provide the examples of frame-level video scene graph generation on frames samp... | r | 07cb7311f8ce2087bbe1254d15c807a9 |
In DA, data are assumed to be available in different domains.
The domains share the same feature space, but the data might follow different distributions.
In both domains, a learning task is to be solved, characterized by the same class structure.
One distinguishes a source domain {{formula:bd6ad481-6b70-4405-90d5-a905... | i | cdba148d78c54fc73b1d20460ff69a5b |
Most grasp detection algorithms use some method for generating grasp
proposals. A number of methods generate proposals exhaustively using
a sliding window {{cite:f45dcb9d964f7b507e5517440e7f7be2f0051f9d}}, {{cite:7c8cc99078bd00c2e921f96cb451c7247774eca9}}, {{cite:b9bd77a7a0cd3a55f438b9b65bf16dae67b068f7}}, {{cite:75f78... | m | cbebbff8998ae2972f9cc5427e3fd399 |
Safety is also often addressed by the higher-level planner. Grid/graph-based {{cite:9fcaf6acbaaaf8dce451644d511cab1d6d873144}}, and sampling-based {{cite:751234f6d4519ecf3cbf0faea3d092b24c1374b1}}, {{cite:14c2a893e44e621e94ef519c56f505ff0ac2ca1e}} planning algorithms can design paths to meet mission objectives while av... | i | b8ec31e47b90b8e1f4661cc62210135e |
To test the generality of N-BLS, we compare it against baselines on a labeled dataset. By assigning labels, the filtering algorithm can further reduce the search space prior to the search process. Because of this, labeled datasets are generally easier than unlabeled datasets. The degree to which labels make Subgraph Ma... | r | 94ed61bc2e3758183039ddf7e55c2456 |
Through the autoencoder structure described above, we obtain the information-compressed latent distribution {{formula:0c389af1-9790-48d9-ba9e-add45392af36}} of {{formula:95503e27-f6c1-48af-ba9c-3390f46cd2e0}} . Aligning embeddings or distributions in autoencoder's latent space is a generally used technology which has ... | m | 8cd897a1826dd3be899fff2ffe30eac5 |
Image-to-image translation and image manipulation techniques attracted much attention {{cite:76765168f911b285f59b981bae8404d13f9068bb}}, {{cite:c9327aaef68079d5a03dcc4ed36366f0ba4f6d1a}}, {{cite:b7d1fa1ceec66d64242ab5cb6756994331005de9}}, {{cite:6940905b844127e00c3e38b887e5c7175c4d2653}}, {{cite:ea7ed5004ce3e9cf57827fd... | i | 79b953d4a499f11ac3bb2700926a4d7e |
To satisfy (REF ), using CountSketch {{cite:b8750ffe796f4220f4eab37b897e76f25e85da54}}, {{cite:bd4ca6cbb40fd7d520b9e121cbc426139f2937bf}}, we can obtain a sketching dimension of {{formula:614fc7aa-54d1-4ef1-aa37-1af297c5f48f}} for which the matrix {{formula:04255886-0d87-4aa9-ada9-0ee61f710c38}} can be computed in {{... | i | 46895cfe0b420c7181edd74b54fc3780 |
We conduct experiments on landmark recognition datasets. We use Oxford {{cite:93f0d88c75c2554a067954129d48ab2c45a5671b}} and Babenko's Landmark dataset {{cite:500c9e33b3a01e63a704b6450d1c00372b7c1bfb}} to train our model. RParis {{cite:0efb0add896dd4137a4fea9b9e78c0fde56b857f}} is used to test the performance. Details ... | r | a4932a9b0d0666f1e13240ae035aac92 |
Let {{formula:73905ee9-2997-4028-b68b-d4db237cfaba}} be as assumed above, and {{formula:005761e6-6dfa-45e1-955b-9bdda6e18ed9}} be the associated optimal plans in {{formula:878a7cce-82c1-43a6-a489-af638052f4da}} .
Note {{formula:960abbcb-7cea-4807-b6ed-fb11abdcdc36}} (see Notation section).
Since {{formula:bc402213-a... | r | 28461a67c5dccf7020523a9b61767032 |
Synthesis-based HFR methods {{cite:a5bd25114b2670448c12dac9c746868badf696ce}}, {{cite:ff577d25608c171d1e45687d5b191c78d37495e4}} attempt to synthesize the source domain (VIS in most of the cases) from the target modality, after synthesizing the source images typical face recognition networks can be used to perform the ... | m | 53d22ff23a6fa39f6edb1aa104c2831a |
In our approach, we recover the BRDF parameters for every point of the scene with a differentiable renderer as a pre-processing step (Sect. REF ). We then learn the SH coefficients of the LIF using a network similar to DNR {{cite:b3a7b17a6e8afdd7e32e3b252050824461299494}}. The BRDF can then be independently modified to... | m | 3d38e6c5e8e2e926d15f233b4202190f |
The second motivation is due to the recent discovery of gravitational waves. There has a vast amount of work to understand the dynamics of two black holes or the scattering of gravitational waves from a black hole. Such physics can be understood by considering the spinning black holes as massive Higher spin particles {... | i | 0b8f430d9ea4a5255db10e14f1df7cd6 |
The holographic {{formula:0d257645-2de7-4bfb-832b-5b05575ce16f}} -wave superconductors can be studied by
condensation of a charged vector field in the bulk which is the
dual of a vector order parameter in the boundary which can also be
considered as the condensation of a 2-form field in the
boundary. For this type of h... | i | 077226c34b617af994f94da53aba4ef1 |
At this point, we need to clarify some aspects of the assumed setup. We consider a simplistic single user-system interaction scenario. But as a probabilistic building block, the setup can be reused in a more complex, collaborative recommender system. We ignore the position bias, i.e., the choice probability being depen... | m | 85d3f4a8354a5a92ff5d840728a3902e |
However, all of these solutions require the agent to go through a learning cycle, where it naively explores a problem to learn from experience. This makes
applying them to naturalistic problems challenging,
where the irreversibility of death looms. In a predator-prey interaction, the prey cannot learn from a failed epi... | d | 37134610ae0802f1b5930a6419145751 |
The driving potential in {{formula:0ac3b368-482e-4cf1-a4a0-d1b6e95989b2}} can be transformed to an oscillating
phase factor in the hopping amplitudes {{formula:4206f87a-8024-4607-b673-3e84733dd6af}} {{cite:f3880f5520ce1a9c4cfe12a50e5433837fde9b0f}}. To do so, we consider
the following unitary rotation
{{formula:d5413... | m | a06d54815c7580ccc6b393d525557deb |
[leftmargin=*]
CML, Collaborative Metric Learning {{cite:962a0d1feed2eeab35d53099268e970cf9271ccf}}, which learns a metric space to encode the user-item interactions and to implicitly capture the user-user and item-item similarities.
LRML, Latent Relational Metric Learning {{cite:d58b93bdcddd46831cf92c82b3917d658ed263... | m | c9079ebcfa8d22095d7ec58ab6ebc6c2 |
In this paper, we have defined a family of 14 constructive modal logics
both proof-theoretically and semantically motivated,
corresponding each to a different classical modal logic.
On the one hand, the logics correspond to the single-succedent restriction
of standard sequent calculi for classical modal logics.
On the ... | d | 304570b6b8b9d2cfb29f7e75e50ee1ce |
We have devised a Bayesian hierarchical framework for the emulation and calibration of dynamically evolving spatiotemporal mechanistic systems. Our approach is broadly applicable across a variety of application areas as demonstrated through a series of examples. Building upon the rich literature on state-space extensio... | d | 4d51e22c68c91ba6e3a339396874c40b |
Brain dynamics is often inherently variable and unstable, consisting of sequences of transient spatiotemporal patterns{{cite:4ff91aa257e9d54dbd3ce3c92d6a002b8e3560e1}}, {{cite:705b07b9e270af35a6ce3c5b4d03aad847386d72}}. These sequences of transients are a hallmark of metastable dynamics that are neither entirely stable... | d | 32aa3e4f73d24be51c7855a955eecd5f |
Image down-sampling during a segmentation task
presents the problem of feature map reduction, followed by a strong spatial information loss.
This problem has been addressed in v-net {{cite:aaa9837068e1aaf1b8b7751b36d91b059b2f6d29}}, {{cite:04f441883e5ec9c2937ffbaf25b5599a2fb58ef0}} by adding skips layers between down-s... | m | 1a6a05d4d58282bfd8fdefb1582a01be |
Gradient-based approaches optimize the objective function by
assuming smooth, continuous topology over the probability density
where setting the derivatives to zero will yield local optima. If a
closed form solution is not available, it is often possible to
estimate gradient directions in a given point. Optimization ca... | m | 1764ec1d4965096cc3993cd05050e815 |
After a TUC has been properly defined, the next step is to consider which IML methods might be appropriate.
This does assume that IML methods are necessary, that is the team should have demonstrated that the TUC presents challenges to more “trivial” or conventional diagnostics. For example, {{cite:8f3ced5fef01851e17e93... | m | 025c608b429bb5ddf302e51feb28f08a |
In addition to corrupted domains, we also plot adversarial domains, in Fig. REF , crafted by PGD {{cite:0761cb4d761377adee0f4a8c46ef0fec1bf5356d}} attacks in the input as well as the representation space (see Appendix REF ).
The large gap between the certified loss and the empirical loss indicates the existence of dist... | m | 365c44556690b5ae1037af52042da536 |
In this work, we use petar to carry out numerical simulations {{cite:09e783606cff7eee284f612374bdfcf872bdf140}}.
petar is a hybrid {{formula:d2f705c5-0c06-4cb9-8739-d86a4b2b822b}} -body code that combines three integration methods:
| m | 3828949a3aa8491eea76d28fa5499300 |
In the field of asset management, the problem of portfolio allocation has gained unprecedented popularity over the past few years. Constructing a good portfolio combines the art and science of balancing between trade-offs and the aim to meet long-term financial goals. The simple core of any portfolio optimization is to... | i | 8ad241a4fbbb05b9a53f3d8f6773ce08 |
Intersection homology was introduced by Goresky and MacPherson to restore Poincaré duality
for some singular spaces called pseudomanifolds.
They first defined it for PL-pseudomanifolds in {{cite:a7a475099a7e14b43a6f58c5c8d08e56212595a0}} and extended it to
topological pseudomanifolds in {{cite:abd05f50c627661af5a46d229... | i | 546a8e11de1082450be38ea33eb91f9c |
In the case of the unit disk, comparing the results of this study to those of a previous study {{cite:141f4c45f7957948b722f0b1850746123522636a}} demonstrated that the optimums reported here are consistently an improvement on previous work. This is due to the use of a more accurate asymptotic expression {{cite:8dc133fe7... | d | e07c67baa57bdca55229ce0bf717708e |
In this sense, the one-step model is a better candidate, even though it has only been developed for the description of the energetics of the photoemission process and not its dynamics. In fact, it is difficult to tell which process among photon absorption, electron virtual transition and actual photoelectron emission m... | d | 5a8aecb882b0a01ea65d18b0a35db85a |
The above procedure can be generalized to the case of sectorial {{formula:f7de211b-7f4e-4268-9ce3-3f50cd70584c}} by application of the results of {{cite:483b67d2838645162868ae0d332e2e90f98d50d5}} and {{cite:9bf2c4068b0854a202dc0d2259abdf7ee9267103}}.
| d | 3c359aa0da022798e1a94ede671863f5 |
RoBERTa {{cite:db32fd4a57e440cd6c51dc10ef1cc3e85b1b56f9}} (Robustly Optimized BERT Pre-training Approach) improves on BERT {{cite:cff81dfe61a666f394cdd77909437ed34b543f95}} by modifying and optimizing its architecture and training procedure. It makes some key changes to BERT including the removal of Next Sentence Predi... | m | 39f35290bbb061fc2ff78570af1ee5aa |
But what about the legacy to use Perelman's thermodynamics for Ricci flows when such a theory was rigorously formulated and applied to prove the Poincarè-Thorston conjecture for geometric flows of Riemannian metrics {{cite:64d58a90d98e1c86e2fadba71a3b86314b911c72}}? There are
substantial difficulties to formulate and p... | d | 9246967077bab7252310774436450409 |
While both methods are capable of generating more realistic results than those approaches that solely rely on pixel-wise loss, they have some inherent shortcomings.
The first paradigm typically trains the generator from scratch using a combined objective function consisting of an adversarial loss and a fidelity loss.
I... | i | 17fea8b6b27cce0bdafafd249ed28603 |
In existing works, unbiased random walks (e.g., PPR {{cite:455bf8f0ec5bdf209ef278929ff00738d33ac651}} and unweighted DeepWalk {{cite:ea4d0d405db2c789a27ea561173cd7c056ec44ce}}) adopt
NAIVE sampling. In contrast, biased random walks (e.g., weighted DeepWalk {{cite:75bfacee488ced8e066a6525afe8c37ac43a8e07}}, {{cite:cae2c... | m | 9016de3208902f0ac1353bc9d0d85668 |
DeepWalk (DW) {{cite:ae7493ab293cb8dd1d841d96697c276fbf317caa}} is network embedding method, which is based on the Skip-gram language model. It cannot distinguish positive and negative edges, so the sign information was discarded during the random walk in sign prediction.
LINE {{cite:ac67e352ae9d3e1334ad81057988ef1... | m | 62bcb630f1dd6eac4db7009e795dcc18 |
The motivation behind our approach is two-fold. On one hand, game-theoretic matching (GTM) {{cite:6eb194676f1a1f7ef460bab9bb6d0315605b44e9}} has been developed as a powerful technique for establishing single-consistency correspondence even in the presence of elastic deformation {{cite:25b7ecfec49534a7606417e1a4d861863... | i | 996ed069b15fde8267e369973e180800 |
We briefly discuss the idea for the proof of Theorem REF here; the complete proof is provided in Appendix . A key step in our analysis is to establish an error contraction inequality to characterize the estimation error of {{formula:112b59ed-5d6b-44f4-b1e3-b7184a1ae3cb}} based on the one of {{formula:75d7fbc5-7d1c-41... | r | 477e0bf9c4c01c0ab24118de72f2b007 |
Although discourse unit segmentation and connective detection are crucial for higher level shallow and deep discourse parsing tasks, recent years have seen more progress in work on the latter tasks than on predicting underlying segments, such as Elementary Discourse Units (EDUs). As the most recent overview on parsing ... | i | 0c1bb413262c04afe8df9483ade576c7 |
The curves for which we determine the cubic points are exactly those {{formula:60fb509c-e0c1-41d7-a052-6292a7a3d6c3}} of genus {{formula:507a4bb4-7f64-4d56-8780-23f0cc507eca}} that have infinite Mordell–Weil group and for which the Chabauty condition on the rank holds true. Only two of these curves also satisfy the r... | i | 8197a69d663c29ba859f8798f7bff918 |
In this section we discuss how the use of alternative conditions impacts our understanding of the behavior of Polyak's Heavy-Ball method {{cite:0c208a8e56a62a18780adf744b58e54528e42ed0}}:
{{formula:6d2dc40e-6b61-42b2-854b-362b79c9c34e}}
| d | 1890c96330535e89f1ca13ae0132aa98 |
In order to get a better understanding of which strategy was working best, we tested the performance of both recommender strategies and, additionally, we compared them against a baseline recommender which made random recommendations. Given that the aim of the work in this regard was descriptive, not prescriptive, an A/... | m | 11d7d31b3d7704284b2bc90b4c9d33e8 |
Graph-based methods: DialogurGCN {{cite:bf9ca1861b324097a99af31224378632f985a091}}, KET {{cite:2255024f5b30f2b7c64ff76ce98f17dda104abb5}}, DialogXL {{cite:b61fdc2c6b8196bbe41fa1e604e98eb164312770}} and RGAT {{cite:98742394d636f72075ca11649250db60d904b12e}}.
| m | 96b113e4515d99949b6e46d45023516c |
The conditions include action labels, textual descriptions, or even empty conditions. Specifically, given an input condition {{formula:acddc536-79b8-49f1-a837-91e9f9f34776}} , such as a sentence {{formula:6f48f60c-1907-48b6-b81c-7b59dc0e995b}} describing a motion {{cite:99382585f09199f2bee8fb5966db2dc4e01adc74}},
a a... | m | ef31dc4bc84e6651ad7d91e6ed51bfab |
Thus, our analysis demonstrates that all experimentally detected features i), ii) and iii) can be reproduced within a microscopic model describing topologically trivial SNS junctions with {{formula:acb8c8d4-49ff-458f-91eb-8fc379067ea3}} -periodic CPR, cf., e.g., the results presented in Figs. REF and REF of this work... | d | be437e5bd0f50fc5f24518cd59b42bee |
The nonmagnetic impurities are assumed to be quenched at their lattice positions, i.e. their positions are fixed.
The magnon-magnon interaction, which gives rise to short-wavelength spin waves, is neglected, i.e. the system is in the low temperature limit {{cite:3670b36e301ed557a93be3639cbff0bbac1e85de}}, {{cite:5813... | m | 774da49729eaa5dc04961c2bd6bf1464 |
In this paper we discussed a natural scenario to solve the strong CP problem in the framework of the higher dimensional gauge theory.
It has a similarity to the well-known Peccei-Quinn {{cite:5cf73f3807b696756a552d45d29e3a1d5430ebf5}} or invisible axion {{cite:db06013299081923f813c4e35d5ad61bfa0ed110}}, {{cite:5ddb05cf... | d | d094c22ab2b3423d598d6724570abe96 |
It might seem surprising that NLM is able to compete with a pretrained deep denoiser for image regularization; after all, the denoising quality of DnCNN is generally a few dBs better than NLM. In this regard, we note that the exact relation between denoising capacity and the final restoration quality (within the PnP fr... | d | bf8cbce26aa691d6bee8f337f51e04e5 |
To test whether selecting systems that have experienced
spontaneous transitions could bias the analysis towards false
positive detection of early warning signals, (the Prosecutor's
Fallacy) we selected replicates conditional on having collapsed
in the simulations. We then selected a window around each system
that ended... | m | f3ea1f1e86fb06f3887c3f8398760e03 |
During construction of the GREW benchmark, privacy and bias problems are our first concern. To protect privacy, only silhouettes, flow and human poses would be utilized and released, which do not reveal any personal visual information. We will provide strict access for applicants who sign the license, and try our best ... | d | 8cfbd2cc99ae441eacbf1bf49820294c |
Synthetic preference feedback proved more effective than feedback provided by humans. It could be expected that human feedback has the advantage in the exploration-heavy games, where the human can shape the reward to encourage promising exploration strategies. Analysis of the labels shows that the human annotator prefe... | d | 582b0390c64954056e0cc0068f311b43 |
paragraph4
.5em plus1ex minus.2ex-.5emFrozenBN exists in previous works that fine-tune a pre-trained classifier for downstream tasks
such as object detection {{cite:6b35a8e250fd6366cce787d9e44cda8a0f150343}}, {{cite:fe9fe4815d54d66f4af9bf4f8241dc8f0b91a16a}}, {{cite:1c559f9ae1bda916c633d4d81da62f0f224c5b6c}}, metrics l... | d | c491fd7a5fc079d5267cf4ca6da815b5 |
where {{formula:423f6d67-1020-4288-bc2e-62c73f9046d3}} controls the decay rate of {{formula:184de1bb-5fd5-47ac-86d4-c5ce46af8d15}} .
We use the ADAM optimizer {{cite:a3548931c5b8bae5a732d8c3bd2b7d1a90b52889}} with learning rate {{formula:0c16ab85-7667-42ce-b319-58be621e7ed8}} for all the experiments.
The network arch... | r | 5c458ec0141282a7fcd5229b34632d4f |
To alleviate this issue, few-shot object detection (FSOD) methods {{cite:9d6adf924d39415faada48810109cd974ea7e994}}, {{cite:cf6329a85cddc8730c4e5257e99d36e7c7e0c892}}, {{cite:6fde9232a8c7df607ea43c9d05fabfc05850cad2}}, {{cite:c7c40d6167d180eb1047c97f60c7ff75fd504bca}}, {{cite:9772b477cb41cb744d0abc6cd35f94e8c5486e68}},... | i | 5c2571adf710f7d0c25f93a5c102de21 |
We report the results of UCF-101 in tab:ucf101space and tab:ucf101time, following similar convention as in tab:spatialsampler and tab:temporalsampler. We reproduce the results of TSN {{cite:eced9c0c801a73d57395d99bcecbbfd2f12f057f}} on split-1 of the dataset using our hardware for more comparable results. Behaviors sim... | r | b3a69ab1c94e377c4ef1dfc983dc955a |
Note that these also correspond to Breit-Wigner parameters determined
experimentally from {{formula:cc3b419d-9d8b-4130-9f97-ffe02f082208}} reactions. The deviation to other
reactions can be of the order of {{formula:35ca0ec9-842f-4a22-87fd-e2f0a3b7935c}} .
We observe rather good agreement for {{formula:867d1593-e806-4... | d | b7f67bce6dad417513db8d1e0daaed96 |
The proposed framework is built based upon the inner product based formulation {{cite:acb4a83705605ca81a4ccce4a42b66789425ed75}}, {{cite:337d8f213576d79addb1e3a11f528c81ad079469}}, {{cite:e01d0bee83539aaf16ae9e1115e81d4cb51ec035}}, {{cite:c7639ff15a45a451c8ab0637744cb573611a7ee6}}, {{cite:01c2ba739f78a8619c152689ddb02a... | m | 258a6a04758e457f62e39d4711f5b94f |
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