text stringlengths 54 548k | label stringclasses 4
values | id_ stringlengths 32 32 |
|---|---|---|
Although Warner (1965) ({{cite:b2074f7bc892a645e2ad15df15d779a7a3600e36}}) and Simmons (1965) ({{cite:cb89b85152682f54be2bab47d5d4a612667de546}}) RRTs have been used here as illustrations, any Randomized Response Technique can be implemented as a web-based survey using the code given in the manuscript, with the mere mo... | d | 6d7bc57a72a49d21bcae83fb9c3b95f5 |
whereas the series part of the solution around {{formula:4212c3bc-bd9a-47b6-9568-ef92229a5772}} , denoted {{formula:77c2f01c-5d0b-4c43-910d-a554d2b72d03}} , satisfies a similar equation. By a succinct argument featured in van der Put and Singer {{cite:125dd210e42eb0456ee658868db1be09c72807a1}} we have solutions, {{form... | r | c9d05d43e8a619b88dd086bc78e45c40 |
The success of hydrodynamical models in high energy nuclear collisions has attracted the interest of the theoretical physics community to understand the foundations of relativistic fluid dynamics at extreme conditions. One of the most relevant advances towards determining the validity of hydrodynamics in far-from-equil... | i | 917a9ca7f7dab48788e70d5032cd26e4 |
We focused our study on two specific toy models of evaporating black holes, but it would be interesting to generalize our analysis to other models, including the examples studied in {{cite:f729f748722e3922a15e7d398d2c408fa95a62fe}}.
| d | 013bf3f388a9ef04ee33f4f4c3b02270 |
The SDAi method is based on the pre-training of each layer of the encoder. While pre-training is known to prevent overfitting {{cite:fc8d6cefd02ceeb98a749762833d311cdd4c729d}} and combat the vanishing gradient problem, it can mostly be replaced by efficient regularization techniques and the use of the rectifier activat... | d | fdf9a96bab0eb69e7a198c7bff6233dd |
Deep convolutional neural network (CNN) has achieved great success on image classification with abundant labeled data {{cite:086ba89deb2d772274b1010237ed9f0a5bbea396}}. However, for many rare or new-found objects, acquiring so much labeled data is unrealistic, which limits their applications in practical scenarios such... | i | 9624c3dbf9ae13c6a256facfe858781d |
To exploit the prior linguistic knowledge in the online dictionary for TTS systems, we propose Dict-TTS, which explicitly captures the semantic relevance between the input sentences and the dictionary entries for polyphone disambiguation. In this section, we firstly introduce the overall architecture design of Dict-TTS... | m | 0e375ea3222beb304904085c8f43cdbb |
where {{formula:e8e41c68-99d6-4e8c-a74c-0b51b44509e9}} is the {{formula:48d6dab8-d80d-460a-bf44-f8e2a658ec2d}} -row of {{formula:863cf500-d535-47b0-bc04-c8321557b351}} randomly selected at iteration {{formula:1efb7ac6-32b2-4b54-88b3-ea1d8d155928}} and {{formula:f52e202e-73a1-45c7-99cc-4104094b31c6}} is the {{formul... | i | b9339cd83c8d9decb1f9cf8f68154081 |
The integration of the two presented systems requires some specific temporal integration methods. Indeed, these systems can be seen as convective-diffusive systems with stiff source terms {{cite:251eec8f5923c95fa46cec6f43da1072ac072628}}, {{cite:e4c427665288da69b4e29f8fc30af4d3ffb38dc6}}, {{cite:fe03d9b10fe32d725bf1de5... | m | 24450a134518897655ff4d370d6b24fc |
However, while the results of these recent efforts have been encouraging, we recognize that there are significant differences between natural language and code. Along with syntactic structure, code statements have long range correlations, much larger vocabulary than natural language and reduced robustness to minor chan... | i | 1916d466762b6e15ec50d186534f405f |
In this section, we firstly define the model and then illustrate the tools that we use to measure the domain growth.
In the last part of this section, we briefly illustrate these methods by discussing the standard Ising case. For more details on the Monte Carlo method and its variations, we refer the reader e.g. to the... | m | 866e17a53b06da1cd5892a9aa2f690e8 |
Weighting KL Divergence Loss:
To understand the effect of weighting KL Divergence loss, we assign different values to {{formula:76129318-8473-4164-bcf7-7f5533c9d533}} such as 0.25, 0.5 and 1.0 and analyze the quality of sketches generated both visually and using the Ske-score. Unlike {{cite:f7771232c7344a84d3303070ac5... | d | aa3216c726063696c481c8a7da211f76 |
The SED analysis relies on the following distances and photometry. The distances were estimated based on the parallaxes provided in Gaia EDR3 ({{cite:5f5e11c0df24a9ad0670d43798154d2ded92ef61}}). Following {{cite:576f31dc70e76a3bd0670d2387285ab812423a43}}, the inverse of the parallax was used to estimate the distances w... | r | 67a5722d8b1b556920001ef64e658ce5 |
{{cite:7a45521ea17b3734103fdec5be757c0f9b2fcdaa}} first considered the necessary conditions on proxy variables to provably recover the underlying causal effect via direct recovery of the hidden confounder. This work was in turn generalized by {{cite:205815a74027b807c34dd63df1ed65858b178540}}. In their work, it is shown... | i | 26f02070a2d15738cd4c2535582bb76d |
Instance segmentation is a task to delineate the shape of each distinct object in an image. Most instance segmentation techniques are based on the framework of object detection, such as Mask R-CNN {{cite:70e60e07a4ddbd987ccdd370a46f51a64fbb4925}} and its variants {{cite:d88961e58d9f99817ca33a18b67f96d65fb2815a}}, {{cit... | i | 60be33be5bb41f78aefae310e23ac51c |
Similar to {{cite:21dd02997a8dd70c774ac63b46abe35f60c4432a}}, we create a prediction task involving predicting {{formula:80916096-b20f-4d23-9113-1c432a5e313c}} of future blocks. Details are provided in the appendix. For multiple views, we define {{formula:7fc78f6c-f5c6-496b-ac01-f9293c0fbb09}} , where {{formula:1664c7... | m | 6fa8fed13c08736cfafc120a8c303aea |
Networks and Datasets We implement the end-to-end training framework in TensorFlow. We differentiate the metasurface optics layer (from phase profile to the target kernel) and integrate the differentiation into the back-propagation process. We evaluate on three networks: AlexNet {{cite:bdc08fa8bc22ffb62320335bbea7761b... | m | 519ca5ba987591f44f1b2e46f79c6ab4 |
While a plethora of BH solutions currently exist in general relativity (GR), astrophysical BHs are expected to be described by the Kerr metric {{cite:882356fabbd509718bc8442c0028911e7d71269d}}, {{cite:4ab0cc3bf36cccefa94aae3c3f2955e998d6f9e8}}. The governing equations of an object of negligible, but conserved, rest mas... | i | 970cedf1de2537fbc3a89e94eedaae98 |
We find that a loop of half length 1 Mm, with 10{{formula:f053e096-b21c-4f78-a0cb-5c6449ae8316}} ergs deposited within 60 s mimics the observed rise times, peak intensity, and approximate duration. The pre-event ambient background heating, designed to match the base intensity level in AIA 193, maintains plasma at temp... | m | 0f8733fcaa1e35d925b5bdd3af7c251e |
where {{formula:688038c6-ef08-40d7-828a-66bfe1ad31ff}} and {{formula:52689349-cfe3-4df3-8d7e-81a0866e067a}} are features from the teacher and student, {{formula:39fb957f-0217-44e9-b6a0-9c34f3f3faa8}} denotes the imitation (objects) mask generated from the bounding box predictions of the teacher, and {{formula:8f1487... | m | 7ae77d2cbf4e5292cac1214e2aaefa4b |
During the experiments we observed that the number of linear regions decrease in many training settings: (a) {{formula:af87b3cc-d272-46c7-ab9b-01bd02c0acb9}} regularization (b) using dropout with {{formula:a866212d-db8e-432e-9060-5a9b43841530}} or {{formula:6cbf0ff4-539d-4ee5-ac96-613a9da1678d}} regularization, (c) ... | d | d423ae047cfab355a4fcbe5a72437f46 |
(a)
Unlike the {{formula:70d215e7-c5ed-45c8-8303-2b9015685e36}} schemes, which use multiple stages of evaluation of the BVD algorithm, the current approach requires a single-stage evaluation
(b)
The unlimited linear scheme is evaluated through compact reconstruction which has superior dissipation and dispersive proper... | i | beade1a210600ab84263d891b217afde |
Our goal is to learn an embedding space that groups image patches containing the same part of an object.
This is motivated by the hypothesis that object part representations are more general than object representations, as parts can be recombined in multiple ways to different objects.
As an example, a wheel representat... | m | 26b79343ac61261c2ca421085a8e316a |
As we know,
the Fourier spectral method makes use of
the eigenfunctions of the Laplace operator which are orthogonal to each other with respect to the Sobolev inner product involving derivatives, thus the corresponding algebraic system is diagonal {{cite:217c6bfcb0ae575616aa95b05e704f89ff633a75}}, {{cite:f5a6dc6f94dc05... | i | 552d125b81e635b52657c28866df2898 |
Discrete exterior calculus (DEC) constitutes a discrete realization
of the exterior differential forms, and therefore, the right
framework in which to develop a discretization for differential
equations not just on flat space but on manifold {{cite:16433c931cb0d2c8fb0692b325a1f54951efdd18}}, {{cite:fc8ea6083bf2a150f760... | i | 0e39f0ba8114a3f3703a5007f84bbd57 |
The convexity of {{formula:1377cde2-d8ef-4c78-830e-db4a35d75eb2}} ensures the Taylor expansion of {{formula:0278fe0f-ea4e-468b-a8ab-d1a9eac0bc8d}} at any iterate.
The Lipschitz continuity of {{formula:655daeae-8a40-482f-9d38-c1bf1775d659}} relaxes the thrice continuous differentiability of {{formula:67bdaf0c-8fb3-40... | r | a7b7ad19164284088c04096295e669be |
- We propose a novel adversarially robust FSS framework, PNODE, that can handle different kinds of adversarial attacks like FGSM {{cite:a346602f18d6aa45128b6a2de3f20cea73af7c36}}, PGD {{cite:cbcff34c5ab3e7e9f9f40c31f0c44abd6909eeae}} and SMIA {{cite:0697b8ea5513a5751abac81f0eebe22d530d7a47}} differing in intensity and ... | i | 2bc6f53a0ab7d86d6800dcc0926f0eb3 |
Larger pre-training scale improves intra-domain transfer. We obtain evidence that either natural-natural domain transfer or medical-medical domain transfer can be improved when increasing model and data size during pre-training (Tabs. REF , REF ). This improvement is strongly evident for natural-natural transfer scenar... | d | 0c672f25bd777336ed926c0f8db66035 |
where the first two terms are referred to as one-electron integrals and represent the kinetic energy due to the electrons and the potential energy contributions from electron-nuclei interactions.
The remaining terms are two-electron integrals that describe the potential energy arising from electron-electron interactio... | m | aae159946e9fe53ef1166c9d1dfc52ef |
An interesting extension of this work is to consider a Bayesian model with various priors on the coefficients of interest. {{cite:d501692642d27e281cfc4780e58342260d8160fc}} consider asymptotic properties of Bayes risk with the horseshoe prior. We believe, investigating through different prior beliefs can result in incr... | d | 27020ef0171fb6cd4986510513e3baef |
The examples we deal with are within the context of two-dimensional Jackiw-Teitelboim (JT) gravity {{cite:8e7fdfaa519243f4d148f0d103419a93a874fd18}}, {{cite:83e198e898eaf8774a81aa9bc83bab454ff1310a}}, {{cite:d20fa0c9288113ebb3437b403ed2b43bbb040245}}, {{cite:ad0e1d2015ed0ceac6f4b3a0e741e3e49ff187ab}}, {{cite:ffcca85ed8... | i | a793ac0300ace1fdd40f38df33d90bf8 |
+ Shake-Shake {{cite:3d5a583f63b7d72de1bc93354b3a81d8131add00}} {{formula:05ac061d-3dd6-43be-911d-7e3b5b115d74}} {{formula:73b754ab-701b-4ad2-935f-9ac2e762a87c}} - -
| r | 4c79ff12d8b80fce83d1ff291b199067 |
Multi-path choreographic solutions provide such a class. When the single-particle system is non-integrable and has an elliptic periodic orbit, it has, typically, infinitely many elliptic orbits (e.g. around an elliptic periodic orbit there are typically many resonant elliptic orbits, around which there are secondary re... | d | f9db888db16632fbc2d5eb3255430525 |
We conducted a series of experiments on two well-known datasets, namely MOT17 ({{cite:ae9029d1b33f7b1de7ed8cba35c95e0f08b142af}}) and UA-DETRAC ({{cite:84bf593f2ffa3e41f0f79575350dcee339b56873}}). TADN outperformed the state of the art, delivering superior MOTA performance in all cases, proving to be a viable alternati... | r | 3fea92573e36d42b19d5f22954653407 |
As mentioned in Section , another method – APPNP – can also provably prevents over-smoothing {{cite:54460d3995662d9da118a49be44af5791b7887c2}}. The authors of this study use the fact that the PPR propagation will converge to {{formula:726685b4-40c0-4e1b-95b6-a326f06f9f10}} , where {{formula:4ca0fcad-02fd-4442-a7b7-b509... | d | 07f23c05d083b1e9880a7de90d7d1d4e |
As we known, although the quenched quark models have obtained lots of success in the last decades, the effects of the sea quarks and gluons interactions are not taken into account. The unquenched models, considering all kinds of additional effects, have been developed, and widely used to describe the hadron spectra, su... | i | c37f7c43df83864a14a17b29f1f4ad76 |
Although modern language models are reasonably effective in deciding whether a short text (premise) infers or contradicts a claim (hypothesis), their performances fall when the size of the premise increases. Therefore, effective retrieval of related sentences from a reference corpus is crucial for accurate verification... | i | 45232d1e8fbab628ef2ac65809c229a1 |
In the case of adversarial training we also run a single image analysis to detect the frequencies useful for adversarial robustness and those responsible for adversarial weakness. Here too, masks learned on adversarially trained networks concentrate more towards lower frequencies compared to those learned on vanilla ne... | d | 3b9f9c50cd0245cb5acf4b0169bee1d4 |
Here, we circumvent this second step:
instead, we enhance the relative nerve functor to write down the functor {{formula:29583f08-791a-4473-b79c-23318af6e360}} , which takes its values directly in the {{formula:68335727-ea9e-499b-bee2-b8bdaa501289}} -category {{formula:6fd9414b-83bc-462b-b6d6-f7138cdfc630}} , and prove... | i | d733bd1c629fbc4fed710b0375439dce |
Our proposed SecretGen works under a wide range of scenarios regarding different types of prior knowledge.
See Table REF for the scenarios under which SecretGen and existing methods can be applied.
Although EMI theoretically works in {{formula:b2612e3a-9669-44ff-9810-c4ab8f53b44d}} cases with ground truth labels, it... | d | 6ef2018fb39d407bfe0efc25a249252d |
where {{formula:a8fd42fa-1f2b-465a-a9c5-8bef1ae10c8c}} is a vector of {{formula:2fb76d77-be49-4794-b3fd-c3e4c95d2aea}} latent factors, {{formula:6d8a7da6-d86a-444b-bdb8-7532303d0fa4}} is a matrix of factor loadings and {{formula:3da97d9c-45a9-46dc-ba81-e982295226da}} is a vector of idiosyncratic errors. The matrix ... | m | f3ea62c18bf2ad613c13bf6c76662b99 |
With the recent advances in the low Earth orbit (LEO) satellites industry, a wide range of applications are anticipated to benefit from more than 4,700 LEO satellites launched in space {{cite:fa2bdfa4e76b6315c2e9fdb0a6613f24fcc9ca8e}}. One main application is providing seamless global coverage and low-latency ultra-dis... | i | c5eecfd994ef05065b1a0a29e4f210a1 |
In addition, the overlapping area could also include some stars originated from within the Milky Way disk.
{{cite:d7b78cbe7bce12d0a033d94a0eec43143cee8bbb}} proposed two disk heating mechanisms to form the metal-rich halo stars: runaway stars
and radial migration. Runaway stars are young stars that are formed
in the di... | d | 43f40880065c65b09060c83ee7143953 |
Theorem 1 (Talagrand Inequality) {{cite:64e28a55e268e3eebb497ced7998df25d876b62f}}
Let {{formula:c048a021-0241-41f2-a455-376a9b4a8c56}} be a reference probability measure with density {{formula:a1c422af-099d-4504-b6a6-7c3fb54ee4e8}} . We say {{formula:7335da9d-dfc7-4f0c-87a2-867e830f49db}} satisfies {{formula:2c46427... | r | cbf7867ebfa67fa47273aa2c6c6385ff |
In this work, we only calculate the accretion mode transition condition for an ADAF with magnetic outflows at the transition radius. In principle, the critical mass accretion rate for an ADAF with magnetic outflows given by Equation (REF ) is only valid at {{formula:7e2853d9-e4a4-4826-903c-6a4c337c5f2b}} . However, the... | d | 627e810fa9c321e9bbec15a23d56d5ca |
Lemma A.14 {{cite:fa58404ed7249615294fcf6921f19ad39c8425bc}}[Theorem 6.8]
Weak convergence in {{formula:aa6e2827-878b-441a-8467-ea1d203cef52}} is equivalent to convergence with respect to {{formula:93262836-ffa2-4497-9a14-98d9c3885861}} , {{formula:3cd07b56-eae3-4dd6-b1e3-08682d65b1aa}} is a complete and separable me... | r | b9e5854a5536a801480d5fae8aafaf9b |
Proposition 2.1 ({{cite:70127fbef6c85b00c1d0de36648081ede04272a5}})
Let {{formula:f52636b8-b083-472a-a6f0-d51231c89118}} be three {{formula:c6800056-6782-4b1d-a226-76d5e4e14685}} matrices and {{formula:36e01e35-db5c-4dcc-80f5-cc60ca785231}} be two {{formula:5136aa91-50cf-4057-a1c8-80f15d8b7821}} diagonal matrices.... | r | f6afa49c2c20e5ef2c5840e6964bf16a |
Among all the machine learning frameworks, reinforcement learning (RL) has an unique advantage that the interactive training process is aligned with human decision making. During the past years, two basic optimization ways, Q-learning and Actor-Critic have been developed to solve many RL problems, as well as the combin... | i | 2a560c4b643432d76fd5f79ed879f61e |
One of the themes that has been developed in different researches,
is the construction of wormholes with matter sources that does not
violate the null energy condition, but as we know the effective
stress-energy tensor in fact violate the null energy condition
{{cite:1d73e44c925ac9b860bb48733abab09f067790f8}}. In the {... | i | e8440e6b3a5b139989e744fa66854c63 |
The experiment was implemented in Python leveraging the symbolic framework CasADi {{cite:496c6e4a8b2dc1d19050a402473add2fa6cba23c}} and its interface to the IPOPT solver {{cite:b524a171e1c9f1aecd1df666ea7bb407ce2afb48}}. The source code and simulation results can be found in the following repository: https://github.com... | r | 282a72a2f5ec5e8e866eacef69898c54 |
The WDL function satisfies the following condition, which can be proved using the same method as shown in Refs. {{cite:9a26dea764566611cb487814c579b5bb6584af05}}, {{cite:63218ccf4c8742db5f64eaabf63804e97b5b330c}}:
{{formula:6e0c64b0-1e5f-4f8a-97d5-0349909e77dd}}
| m | 1b47231643e9782731c1608227689a3a |
Furthermore, the standard disk is thought to be more suitable for the formation of powerful jets in the magnetized accretion ejection structure (e.g., {{cite:d1ac9e08f5ceae9bccce916935d13fc79f0b900f}}), because the radial magnetic tension overcomes the toroidal one at the disk surface when the disk becomes too thick. {... | d | 420d6ce45162dd71ce16ee4e1750452c |
This study also sheds light on a new type of sensitivity of MRI reconstruction algorithms. At present there is growing interest in identifying sensitivities of such algorithms {{cite:b7b84f5c86a7e83c1c4ac4d781b95692efba061d}}, {{cite:edb34ee08cd81df21961c76614322d1c3fd9bc27}}, {{cite:4d52ffc00d5b19383098cb3506ac0b2eb2e... | d | 06276ff0ca7a6a5547bf2ec838dfc169 |
Grasp Representation.
The autonomous visual grasping tasks generally start from collecting visual images of the object by sensory input, which will then be processed to generate an effective grasp configuration to maximise the probability of grasp success. Considering a parallel-plate gripper, the grasp representation ... | m | fe712bfcb60921ef556c58949fe215ea |
A real-life cybersecurity application is the actual platform to use the CyberLearning model that typically examines the behavior of the network, finding the security patterns for profiling the normal behavior, and thus detects the anomalies or associated attacks. Although an ANN model has its hidden layers for computin... | d | 7d08ab7fa2043bad1b6e36a096b88743 |
In this paper, we studied the non linear memory in the bulk of the space time around null infinity. Considering the large-{{formula:17424ba6-821e-4154-a8d8-81cba6bd2f57}} expansion of the BMS conserved charges at each order, we showed that despite the existence of a set of integrable charges at order {{formula:a445e3f... | d | fd5770c0f0cab2f941c8abe9249aa074 |
We apply the real-space DMRG
algorithm {{cite:7fac7c03054fbf572481c9814680395e65c1f0c5}}, {{cite:55fdffd4b9b141211dd76c295a3945ef7964107d}}, {{cite:88eed2915a19f39e4aefb139e1981a581bb1370d}}
to the Hamiltonian (REF ).
Complex-valued and long-range electron transfer amplitudes
and anti-periodic boundary conditions requi... | m | 37cdb70811350c907498cf220c9d4678 |
where {{formula:12df38a6-0552-4964-ba02-5b18935809e3}} . Following properties of the function {{formula:133cf973-cb19-4ca1-a7cd-6ba7b4bc6807}} are of our interest (see {{formula:92ec635f-e5dd-45fb-95b1-04ce49798b63}} and {{formula:6e3154d9-f39b-4205-8540-2fd97f5aabf6}} of {{cite:25fa08545571e51879c66ff4599370ac89919... | m | 8b2a97413163de9b9d694b8f92eb4ad0 |
{{formula:9425b8ca-a16b-4591-894d-c188c576d203}} Comparison of the Action Classification Accuracy.
Since our method and hotspot {{cite:2f944d00070cda43b4e2ee84d5ee6d80ce813cd9}} only use action class as supervision during affordance learning, the accuracy of action recognition affects the results of affordance gro... | r | 90fd99dbf936566a63ee710c9490180c |
Theorem 1.8 ( {{cite:2706aa7ba9d2177c3627db56f9ca0822e81c5e36}}) Let {{formula:6382212d-0506-40aa-aadc-c9fc29306d3d}} be a complete metric space
with metric {{formula:f13d3436-8f34-4acd-bb6e-bf849a030e74}} and {{formula:e464c416-374e-4bb1-8fd2-a3e61e8b59b8}} a lower semi-continuous
functional not identically {{formu... | i | 19269a664465da461c465f799a3cc7c5 |
The empirical insights are as expected if we consider the mechanisms behind those XAI methods. For instance, considering {{formula:a96c31cd-1d1b-4b78-9715-c6628c91e3ac}} , DeepLift and Integrated Gradients are more robust, since they use the reference point to avoid the discontinuous gradients (large curvature) that mi... | m | e14706bfe2904a42303657138315a11f |
Domain walls (DWs), i.e. the cross border of regions with homogeneous but differently
oriented magnetization play a central role in magnetism
{{cite:4af660c397ff3214b6f2c6b4963be8f26d7040de}}. A particularly interesting suggestion is to exploit
DWs for high density storage in a "racetrack" shift memory
{{cite:0589d1dd0... | i | a556f56082d35fd44b8d61889a263612 |
Next, we use two cooperative domains from the Stanford Intelligent Systems Laboratory (SISL) {{cite:2ebb389c18fc4d40b38871b072d943b438a3d24a}}. The experiments with these domains have two phases — training and execution. The algorithms train for 1000 games in the training phase and then enter an execution phase, where ... | r | 9427986b6d29aba644e5a2168e724066 |
On MJD 55266, the maximum observed {{formula:cc846f60-e694-444c-8732-4b771770a078}} -ray energy was {{formula:794a5bee-28ca-4f25-b84f-1436dd7c08d2}} TeV which is produced from the interaction of Fermi accelerated proton of energy {{formula:63f5fbcf-c33b-46b4-ae36-5541581d4dfd}} TeV in the jet with the photons in the ... | r | f3bdac3d819fae4a5473c8afc4285213 |
Besides the excellent experimental prospects from cLFV-dedicated experiments (COMET/Mu2e and Mu3e {{cite:7868c7edd0375e024611865c61887d0aecca962e}}), Belle II recently started its first data-taking run.
Being a {{formula:de682909-ec27-4bb0-8a74-8828fc7c0e4a}} -factory, it aims not only to scrutinise the {{formula:665f1... | r | 69b7d4866e06b739c32985f2820d85fe |
Processing-in-Memory (PIM) architectures {{cite:c611f61cff7993dcfc5526c706e7f33206efc180}}, {{cite:c692a39fb7e9423edda4a591d5866c987290f9af}} promise to alleviate the memory bandwidth bottleneck.
The UPMEM PIM architecture {{cite:87b6d06f66dc4e7dfdba0cc5e2816c11687e85e4}} is the first PIM system to be commercialized in... | i | 1ea392bab4fb253558eb37e54b798113 |
During the past two decades, the standard {{formula:72bfcbeb-8ef3-49a3-8cd2-dc66c578cc0d}} -cold dark matter ({{formula:b058fe45-bc20-40b4-81ee-fc64b3c15e38}} CDM) model has been successfully confirmed by a large number of observations such as Type Ia supernovae (SNe Ia) {{cite:c1ec3ea21c62c267daeb65296589d3c8edc7392c}... | i | d26e7840789cc707420d1b2cdea0efdd |
In the last chapter the analytic functional calculus for quaternionic functions is obtained (see Theorem REF ), as a particular case of the general functional calculus given by Theorem REF . We also recapture one of the main results from {{cite:5ee8b38dc385a251fc22512f1e87c15804331658}}, showing that the slice regulari... | i | 912cc8f33e2c6ceb7b2b7ab147154c93 |
Since the level at which EDE models differ from {{formula:bbf0c408-e188-4bcd-bb4d-62cc08f3c88c}} CDM are at the {{formula:f3c5c139-ac98-449c-ac24-e87d3c2984f3}} -ish level, small changes in analyses or model assumptions that one might guess were “below the radar” can actually affect the conclusions. For example, the ga... | r | d78f777ab208e9b3cfa7559cb0d39548 |
{{formula:41022fa9-3555-43e2-ab4b-c762fde6281f}} is an instance of random variable of assitive information that is drawn from multivariate Gaussian distribution {{formula:24bb8bcc-d08e-43e1-b2d9-1e789f7a622c}} , {{formula:057b9e11-302a-46e8-ae28-45d653e1bb4c}} is the parameters of encoder {{formula:301b4f92-8a6a-4b98... | m | 3df171c0790bd9ccc6ececafa4e7062d |
The baseline methods RANSAC {{cite:b5c382a923c55f1b68fa2638858f137ea0ad7ccc}} and FGR {{cite:b8f47883f321e23067f759e5e28a0fffdcca0119}} have been implemented in Open3D {{cite:4eb8e214599f3c556bd04d62e155e06e76f8ef89}}. For GC-RANSAC {{cite:6128ad019f3d65b07ed8ecebf73cfc5ef783f31b}} and TEASER {{cite:42db4a21c04cc95fac1... | m | ec0b4602938d44e1e6b393e142d0930a |
Our analysis relies on the contraction of hidden representations in total variation stated in Assumption REF . As discussed in Section , the standard Doeblin's condition is sufficient for the contraction {{cite:a00b71ea7e84504d8f5e19432d8b66c790d1eaf3}}. We conjecture that it is possible to prove Doeblin's condition fo... | d | 5bd6603d143eed0c035f43880a83a715 |
Here, we have not addressed the inference of interior parameters from specific exoplanet data but have outlined the physical reasoning and implications of magma ocean interiors on transit radii and physical state of the planet. This interior model introduces a higher degree of non-linearity compared to other interior m... | d | 631a2ff28bce9fa25881bfc81fba08f6 |
Purification Comparison.
Table REF compares the purification performance with the state-of-the-art noise detection methods based on the training dynamics, including AUM {{cite:9c49235c2214af7a326b40205991549e685a558f}} and INCV {{cite:9b0662dd42c5d61501c075e68dc483ec031a131a}}.
We notice that the performance of AUM an... | r | 45113554a622b0aa6f95e5183ea3b479 |
Using the policy gradient theorem {{cite:d6703a19a8ad9183bd5d0468742cd35ddf194b90}}, we can write the gradient as follows:
{{formula:c196ad6d-8613-455e-aec7-75be30a7c1fb}}
| m | cff4236d3fd8941a5771e839204a556e |
Model rankings. First, M4C {{cite:62629027736550445f1015884ed477c06eddfe68}} performs the best among the evaluated models. Interestingly, it is smaller than many of the more sophisticated model architectures that score higher on VQA. This is probably due to the importance of the ability to read and reason about text in... | d | b771d289a133bdd7e6b6adc9c4957622 |
An Android app was designed to capture 34 images of a scene at 8M size and fixed ISO, fixed lens position, with the auto-white-balance enabled, across different exposure times. 34 exposure times varying from 0.5 sec to 1/4000 sec in steps of 1/3 standard exposure value were used to generate a ground-truth irradiance ma... | r | d0b0ae64b48dc29a9421f1af1549036d |
Summarizing, within the framework of a theoretical model described in the
Introduction, we have studied time evolution of the spin part of the singlet
wave function of two electrons in the presence of external static
homogeneous magnetic and exchange fields. In order to obtain the exact
solution to this quantum-mechani... | d | 0f1318a369cd467a7f33515733217b3b |
The proof follows from {{cite:cecbfe8dfa97cf15bda5d26becf510a408ab749a}} and {{cite:fcf89472f7a2b5c024f6eab4bc6cb6ba6e0a7432}}.
| d | e5389aec03bfd08c90c4581eb813d1fa |
Fig.REF shows also that the overall capacitance exhibits a local minimum at the origin for different values of {{formula:f49c2e35-745d-4a0b-9ae0-f79f1dc09a3e}} , and an asymptotic increase towards the value of {{formula:9b528f31-db27-4158-bf51-f6a41a5e98be}} at higher polarization. Otherwise, between these two limiti... | d | 68bc0aab18d8051560c54b9138f50328 |
When comparing simulation results with observations, it is important to pay attention to the way quantities are evaluated in simulations. In particular,
estimates of metallicity (as well as other thermal properties) can be derived in different ways depending on the weight {{formula:8fd9a3c9-746e-4166-9409-30c3c245b2f3}... | r | fe9a6d29e92388363f4141a87d86c030 |
In order to evaluate the capability of our model to adapt to sophisticated scenarios, we illustrate in Fig. REF the side-by-side comparisons of our DCPose network against state-of-the-art approaches. Each column depicts different scenario complications including rapid motion, nearby-person, occlusions and video defocu... | r | 6e596ad6045b0c0eb0ab917267a33e4f |
From Table REF , in general one can observe the benefit of incorporating the attention mechanism in improving the generalization performance of the models across multiple subjects. For some models this improvement is more significant than other. In particular, the positive influence of the attention mechanism on the EE... | r | b9d6e1df71e695f3e732f26573018c60 |
In the white-box setting, the owner has full access to the pirated DNN.
The watermark can be encoded into the model's parameters {{cite:c744d288d07e95fe395672ce4bad560f4f39d504}} or intermediate outputs {{cite:e4e2935e1e8313a287e49903da1d90155e04a1e1}}.
The owner can also insert extra modules into the DNN's intermediat... | i | e46d9842db0d971d4cc4dce28e6c545c |
We compare our method with several baseline methods to demonstrate the performance. (1) PointRNN (LSTM) and PointRNN (GRU): PointRNN is proposed in {{cite:eb91231e820f5a6b4063e26abe40d9447da54abf}} and we call the two variations using LSTM and GRU as PointRNN (LSTM) and PointRNN (GRU). The networks are re-trained on th... | m | 6d74dc4ea25106fd4ebcef585dc97b84 |
Actually he had, as far as I know, four famous encounters with gravity that went into print.
The first one was in a paper with Henk van Dam {{cite:a9e0839bb41fb81df4782b0fc4a874016a6670c9}} on the lack of a continuous limit from massive vector gauge theory and Einstein gravity theories to their massless and concluded t... | i | 78636a2e39eecd64306f6982f36112e8 |
Although self-learning-based RSISR approaches such as ZSSR {{cite:a2880934b87f7dd5a39ed28df09093702b0a5b11}}, KernelGAN {{cite:7f0084741ad87bd291b271d355be8d46f6f66484}}, and DBPI {{cite:cd6614112f2d8396b613d99acce3ac4f39b66b67}} can be easily adapted to LR input images, they generally have two main shortcomings due to... | m | 9d9a5d984b0d76b135f2578fc0e325db |
Among them, the tensor tubal rank induced by t-SVD can characterize the low-rank structure of a tensor very well {{cite:dfbf47a4c1e0046fc8fb6beb5480aaa5fe217482}}.
Its convex relaxation is the tensor nuclear norm (TNN) {{cite:952eaab9e367a60635744ff3d89e60930edc2d70}}.
TNN is effective to keep the intrinsic structure o... | i | a702bcb004b7ad83b32253d8410e8a2b |
Given a monocular video captured from a freely moving hand-held camera, our method reconstructs a neural scene representation that decouples moving objects from the static environment, assuming a constant illumination and known camera poses (e.g. calibrated with COLMAP {{cite:ee3f8f104a33eecc3ff8fefdfb0e3be8a56a8535}})... | m | bbc7da455b94b845d000c43818bbc8e0 |
However, when restricting to linear perturbations around a static background the right-hand side vanishes while the left-hand side does not. To not mask the transport coefficient that appears in the linearized equations of motion it comes out to be more convenient to eliminate {{formula:a085a882-46d5-4ddf-aaf9-3ae439f8... | d | a3e75516b633c97304004e4a3bc10127 |
Lemma 2.4 {{cite:4908545c468742f670962d92bfca685153c52aa8}}
Let {{formula:1cce143b-6daa-4789-8b72-7bd864e167d7}} be an Hermitian relation and be bounded from below with lower bound {{formula:24048ed0-d154-40b0-ae30-51d409500ec0}} . Then
{{formula:15771544-fc2c-4464-b911-750d9389b88c}} , and the deficiency index {{form... | r | 2b514e6c3987a686fabbc6af9267cd81 |
The numerical study was performed using a commercial electromagnetism solver tool COMSOL Multiphysics (Version 5.5) {{cite:c04bb0d1f7da67c3e9f1dfc3ca0beea851c62918}}. We used the wave optics module to solve Maxwell equations in our simulation domain for the wavelength range 500–1100 nm. The dielectric function for gold... | m | b7a8946bfc47a138a60e35e5b5704723 |
For the client-side optimizer, our default configuration {{cite:b412fcbf5b4602e515d9f3d3a656f25fd09c6eb2}} uses Adam to train the model. Our experiments indicate that using Adam as a local optimizer performs worse than using SGD because a cross-device FL system expects stateless clients, whereas Adam has stateful param... | m | 9a447c957a93c47c248613ceccb55b0a |
Our results have implications to the analysis of the distribution of elements in supernova remnants against explosion mechanisms. There is an ongoing dispute on whether the morphological structures of clumps, rings, and filaments in some supernova remnants result only from instabilities in the explosion as the delayed ... | d | 66e20a45f94652dd04b58779d2c3b784 |
Unlike local approaches, global approaches are designed to be invariant to the initial transformation error. Some methods such as GO-ICP {{cite:5331027d20f1ea01aa0604d3ca22a0e245f498c5}}, GOGMA {{cite:c1a939963e7a8a72574b4b60299aa4d8dea08c08}}, and GOSMA {{cite:63e99f1d0e85340a9e07b504a7a913b66d1d8bd1}} search the SE(3... | m | 9fac160f597137337e6bef65384e93c9 |
Today, many websites have QA forums, where users can post their questions and answer other users’ questions. However, they usually take time to wait for responses. Moreover, data for question answering has become enormous, which means new questions inevitably have duplicate meanings from the questions in the database. ... | i | 2f7343ab0f802aa871743da2f0c4649d |
This section describes the ADMM algorithm to solve the constrained optimization of the SNAPE method as stated in Eq. 13. The ADMM algorithm has originally been proposed by {{cite:c82c16890dd127db875d3d8a0033ec83634c7a75}} to find the infimum of variational problems that appear in continuum mechanics. The equivalent rep... | m | a5d9d7894356fe77bdd7859e5f180a7a |
Related work.
Gupta and Kumar {{cite:137f5d5a87517ea307eade7a99e0a23910b46211}} proposed the geometric version of the SINR model, where signal decays as a fixed
polynomial of distance; it has since been the default in analytic and simulations studies.
They also initiated the average-case analysis of network capacity, g... | i | ff3fc393747741c09ccd4b4a89dfcff2 |
It may be also worth to consider the explosion model for EMC (e.g., Sofue 2017) more seriously based on the 3D parameters.
The properties such as an order of magnitude less mass than CMZ, several times larger thickness than Arms I and II, and the round LVD (not parallelogram) at high latitudes, can be explained by the ... | d | 5666ee4fc77dd432da4d7a88bb250a68 |
where {{formula:461c08fa-65b3-4228-aac0-cd84b2b698bb}} and {{formula:a7db7fe7-0ad5-43e4-9be9-7eda06017ad9}} denote annihilation and creation operators of the fermionic d-d transitions, and {{formula:231d7ed5-8bb3-48fd-bc28-cd8aa009fc09}} , {{formula:e833e21a-60b2-4c53-ad61-8011472dd8ac}} are operators of the 7.5 THz... | d | 24230b2d5c4b8b616139e3db701edf3e |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.