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The lowest {{formula:d62897c0-9c00-4e72-ae37-4cb277cf5dbb}} wave charmed mesons. The first charmed meson, {{formula:6ad664e3-a164-4a2e-9a5f-1195e64c250b}} , was observed after two years of the observation of {{formula:e85f86b3-0927-415f-89cd-9def9d8c5337}} in the {{formula:fbab4133-4c54-438c-9f0d-604c9... | i | 9ad04898d283433db307ad7d8aeb475f |
As a historical sidenote, let us recall that adaptive dynamics
(AD) was born as a generalization of evolutionary game theory
{{cite:516ef8584c24eb9919c6845450fe39da887b4cc5}} to allow for a set of strategies that is
continuously varying and, upon which selection acts. AD led to the
satisfactory explanation of intriguin... | i | 00e412b9d7fd21025d4a9ae3f1c8eb48 |
This section reviews three typical safe reinforcement learning algorithms: CPO {{cite:837e2d4d9d9131078d7e03719e8c81b2076b7563}}, PCPO {{cite:73ba00330d26e699acdabdbe8d496285d51c580f}} and FOCOPS {{cite:f1bc65e7f8cb776830a92609b797ca9efea3eb6f}}.
Those algorithms also use new surrogate functions to replace the objectiv... | d | 6846a3aa1783a76faa70f363020fd8a5 |
Generally in the coupled disk-jet systems, periodic changes in an accretion
disk would be reflected by jet activities. There are several scenarios that
could lead to the QPO phenomena. Simulations show that magnetically choked
accretion flows (or magnetically arrested disks) could produce quasi-periodic
signals {{cite:... | d | f44ae81b4dce38dc93a2e9555a432d75 |
We believe that our approach can be improved through adjusting the neural network architecture and pre-training configuration such that it becomes more data-domain (EEG) appropriate. Future work will prioritize effective integration of spatial information, likely by better isolating temporal and spatial operations. Eva... | d | 31cfc9064424e313e406ee9380881c4b |
Our constructed area operator is expressed as superposition of projectors in CFTs. It may be possible to find its bulk dual by reconstruction of the bulk operators in entanglement wedge{{cite:3db3ffaef89c8025a86312bf780a8f23a7dead09}}{{cite:9694efeacf73278b3f9227c8a15c8ee69d89e984}}.
| d | 10ede1ad0096f9e07e3ea24f7e1141dd |
For MS-COCO, in Fig. REF b, we observe that for the first active learning cycle, our method outperforms the random baseline by {{formula:2e59ff5a-cb7d-4e11-a412-940d69c58d7a}} , the best-performing AL method by {{formula:11a48a86-5164-4f60-9fef-3a16fde05927}} {{cite:f7b47b6c4aed02489f8c25cfb67d68da42006ec9}}, the semi... | m | a284daef10bb085501c215ca7a25b47a |
Lemma 12 ({{cite:7d2482b284cb912fa73e0143740ca58d92243717}})
Let {{formula:b831c486-2b5a-4ecb-844c-1adea029d600}} be a surjective and bounded linear operator between two Banach spaces {{formula:0ab5d02c-9b9d-43bd-9c1a-94a30a850982}} and {{formula:62a7d96e-5b00-46ce-8525-0419b1e6b45d}} . Then there exists {{formula:... | m | f5c56066d7e9cc8cca022ab47f180464 |
Now take an arbitrary {{formula:e254f6d1-1853-4430-8070-75df46208e4f}} . As {{formula:f0eac991-8a99-4ca8-8aff-1f81248ac93f}} is dense in {{formula:f3d96864-3576-46e8-beaf-e530b1fc58e7}} for {{formula:8e3918db-9a3d-42b7-a337-068ce14bc69b}} (see {{cite:64e516502db0ad0524c8952cf1cc0eefb3c571f9}}), we can take a sequenc... | r | 9e1377e7eb8fc4013477a3aa34ef1614 |
Future directions may include investigations on the applicability of this method to other connectionist models such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and spiking neural networks (SNNs). It is conceivable that the policy generated in this paper could apply directly to RNNs since ... | d | 1ae9d8fdec5d1e55298b68aec4baace5 |
Most existing dialogue systems are sequence-to-sequence (seq2seq) models {{cite:946750619a76f427567481568742033a8bfcc635}}, {{cite:63464c6c84b9c0b2c2a43e582f47382a50255065}}.
Since a dialogue generally lasts for several turns, a dialogue session with multiple utterances can often be modeled as a sequence of “sequences”... | i | 8c834a1353bd73ac69f2e6da14a78297 |
With the above techniques,
{{cite:458831f5df3be753ddb2c615b46f6a1d701db630}} adopted the Saliency Map, Gradient {{formula:c566dc30-684a-47d7-b46a-84456dea0b6a}} Input, and {{formula:e1a97edb-3597-42ef-8007-a69721acfad3}} -LRP to calculate the attribution map for estimating the transferability of deep networks.
{{cite:... | m | 6ea175f333146d97dedd34c3cae3bd16 |
At this point, we are unable to prove convergence or derive learning rates of DCNN with {{formula:ba722313-1887-44e6-9271-16dd1fe8d9ae}} layers for {{formula:ace36656-1cdc-4186-ada6-4743acb70052}} .
The challenge is mainly due to an upper bound of pseudo-dimension {{cite:940dd87a580ac898455c505e733a1b23745f6fc5}} whic... | r | ac921df071e443d60dbf1e7db470368a |
For obvious reasons, detecting X-ray or gamma- ray signals from earth
surface is difficult. Hence space borne detectors(e.g., GAP) have been
developed and used to detect the same {{cite:f6b40331649a79cb39a5e91e3eaec5df1132ea7c}}. They happen
to be sensitive to a wide energy range; for instance GAP is sensitive
to an en... | d | b4c64f715da363ecf58972ad490df737 |
where {{formula:25b3b41f-e1ad-40fc-8a8a-2c3f07c3a325}} and {{formula:bd17348f-5629-420a-b796-7d68668425e2}} denote the expected values (means) of the distributions {{formula:4e8de673-9891-46a0-ae5a-9c2a3663b881}} and {{formula:9b564b8e-afe2-4386-b279-22f56d0ee1cb}} , respectively. {{formula:3a44ea54-0f33-42d2-ab10-6... | m | 0945cee78564456a26c85267c1a62151 |
Despite the positive results reported in the literature for English pre-trained models, many voices highlight the disparity in the availability and quality of models and data for other languages. As pointed out in {{cite:c6d6e3d35dde7c0f2f1070dd1ee8bc9ad4025629}}, most NLP research is conducted in English, followed by ... | i | 480e2d857bb72224984df82d716b0326 |
We first established a classical Smarr formula and a “first law" variational identity for causal diamonds
in maximally symmetric spacetime, i.e. in either Minkowski, de Sitter, or Anti-de Sitter spacetime.
Since we include a cosmological constant and variations thereof, the “thermodynamic volume" {{cite:b7eff0f3f059627... | d | c0111eabd8bb6b063c5d06a10504fad4 |
So far, in modern cosmology, there are two main problems about the background evolution of the universe, i.e., the nature of dark energy (DE) and the Hubble constant ({{formula:742ea57b-2a0d-4e91-a831-8fbdc10d55d1}} ) tension. Further understanding and explorations of them will be very important for possible new physic... | i | 1f52f8eabeb3f9e368d7364862891058 |
Similarly to rings, the notion of ideal of a left brace was introduced in {{cite:ef7fde0a7a28229e91474c7a9cce05d5992ab898}} and reformulated in {{cite:41aab795c5aebe9f46cc093a54b3409df04c33f6}}.
| r | 977b945be8e814f65f345fa147d06a3a |
where {{formula:8d8708e7-77d3-4ca6-b927-779d1af39d03}} means the conv4_3 features of an ImageNet pre-trained VGG16 model {{cite:09fcec03ab0b341adb3c793cd22b462ee014af5f}}.
| m | 733b826c7e324eec3710e29497224fac |
Another research direction is to enhance traditional rule-based methods with ML techniques. {{cite:e7edb54f4d91eb75af3c2fdacae54dec3f5539c9}} enhanced time-series momentum with deep learning. {{cite:adb1c81de6e86fbeb3216d55f3856dca669f0796}} applied NN to enhance cross section momentum. {{cite:1157d5fa2f7cb11477aca2c3d... | m | d0ed2707a7d5138b840e69ce3bef4d65 |
We say that {{formula:3006c1a2-47e5-4658-b4e2-80ca0b851847}} is subdifferentially continuous at {{formula:49b9157c-d214-4900-9354-b58718c751ef}} for {{formula:3e4be9f7-a5ba-4992-a419-e28c5049d17a}} if for any {{formula:1fcfb884-1b65-4074-8856-7999ab695f44}} there exists {{formula:9baa38cf-af93-43f7-a5f3-a791d9807cc... | d | 57015c14e09c1e76a5090136ff2f70de |
In this context, we may get wisdom from the canonical approach toward quantum gravity {{cite:2386d72ff8296b0da93a280d27902525d0b363bf}}. This approach means that we need to solve the Wheeler-DeWitt equation. If we can solve and understand the Wheeler-DeWitt equation, we can then provide wisdom to understand and interpr... | i | f1b5777d661460eef66adf78d7e3c4f4 |
where {{formula:b8150990-a021-4d36-b92f-e6711f2b34e0}} is a {{formula:343a03ab-4406-4d13-8079-293d80773289}} -dimension computational domain in {{formula:bbb86593-a92c-4341-a3aa-07ea9a3a7d85}}
and {{formula:4b3e6238-0997-4f20-b897-07178545a037}} is a subset of {{formula:0f29ede1-dae4-4b75-b1cd-b576ad5a53ba}} . The g... | i | 4811d04ab0d11f18e974d02654367698 |
Transformer models in deep learning were developed to address natural language processing problems, where sentence completion and translation are performed using a word by word embedding {{cite:331ec2ac4a6bc441b61252db59caaa93d225550a}}. The sentence-completing NLP tasks can be understood as a temporal learning problem... | m | 5bf538b6ee6002f9998e6dea6501b8ed |
Intuition suggests that popular items should be more relevant and trustworthy than unpopular ones. Yet, extensive research indicates that popularity is often not very informative about quality, especially in settings characterized by `rich-get-richer' dynamics (sometimes called the `Matthew effect') {{cite:1d217eda5c34... | i | 6d492cf970b31af8b5d1c08b5021a7cd |
Named after the Roman god of the sky and thunder, Jupiter is the most massive planet of our Solar System, has been studied for several centuries and was the subject of close scrutiny by recent space missions {{cite:36c2743e814fae233bfe8c9f0ee0498443cbc908}}, {{cite:35433911b14afcffa351be7075382a347b46dbbc}}. Since gas ... | i | ea7d3e9d1532a5047cc8997ef54c480b |
When cavities or plasmonic structures are used to select and enhance distinct light modes, it is possible to reach the strong coupling regime where the pure light and matter states become entangled. For this to happen, the light-matter coupling strength must exceed the damping rate of the light mode; or equivalently, t... | i | fa616cee7c488d522e3821782badceee |
Moreover, the approximate excited-state wave
functions can be calculated (see Ref. rockandroll) and the lowest
energy linear combination can be determined with correlated function Monte Carlo
{{cite:6e4e310b0070b604e5ea52c254d7aed35fcac7d7}}, VMC {{cite:e1f9e9b2aefe52a1dfdc8862965307a1caf29465}} or directly in FPDMC us... | m | ed586905fd10d75afd047770f9e14dea |
We proposed Touch and Go, a human-collected visuo-tactile dataset. Our dataset comes from real-world objects, and is significantly more diverse than prior datasets. We demonstrate its effectiveness on a variety of applications that involve robotic manipulation, material understanding, and image synthesis. In the tradi... | d | 7a5889cf06dc97e9f21fe2d8c4b40fb0 |
In what follows, the YFS {{cite:3dc29627b0c86c445113588cadc89c99211657e5}}, {{cite:db42fe93110703c4228d27d08d25344ca7d9376f}} versionYFS-type soft resummation and its extension to quantum gravity was also worked-out by Weinberg in Ref. {{cite:7918da96f6be6656a3442395b547721d1ed10629}}. of the exact example is extended ... | i | 0fdc346fe11d37ca36d659ed88735dbf |
The classification loss ({{formula:2d232679-730d-40ec-abcd-157d30e880f8}} ), applied to the output nodes of a NN, is defined by the focal loss {{cite:b6933c6dd05ad60bbc2ffd7b5829c6912f8b3b7b}}. The focal loss improves the classification performance for unbalanced labels, the case for the classification tasks to be intr... | m | 3f72dbe9978b347dbf8ab4714c2d7e74 |
Data generated directly or indirectly by online users —also simply referred to as user-generated data (UGC)— can reveal a significant amount of information about their offline behaviour and status. In fact, many recent research efforts have leveraged social media content or search engine usage to address interesting qu... | i | 16e46b34063b4108cdfa15ced8af083e |
In the second stage, we fix the weights of keypoint detector {{formula:9374962f-76f8-4ad1-b369-1ea893653786}} and auto-encoder {{formula:cf3251ab-af0a-4626-b3fe-333ce46beb22}} , then input partial data {{formula:aa967224-d114-4ebc-bb88-d0053d5337e4}} into a new auto-encoder {{formula:7bf74258-a3d8-48be-b58b-e53641d0f... | m | da6ff466a03b9aaa6e0f46f1a4023dc6 |
The locking technique described here could aid the development of portable atom-based quantum technologies {{cite:79aad9c6376c4b4fb505ab6547c7198a34085419}} due to the small footprint and insensitivity to misalignment. The speckle-based stabilization is a convenient method to lock at arbitrary detuning from an atomic r... | d | bc136708be5102ee157f6e35f34a5aaf |
In table:recontablesynthetic and table:recontablellff, we can see that our method enables real-time inference of NeRF and is able to render at over 150 frames per second. The rendering speed of our method is competitive with the state of the art methods {{cite:0fd7ed5b6dfdc432399eb33d587a622c15c8cbed}}, {{cite:2f309db0... | d | 4fd7c579ee8f2aff73c798c38820a4e1 |
The existing saliency detection methods can be roughly divided into three categories based on the 2D (RGB), 3D (RGB-D) and 4D (light field) input images. Different from 2D and 3D data, the light field provides multi-view images of the scene through an array of lenslets and produces a stack of focal slices, containing a... | i | ca0924cdfcbe5eee8e591484bcf8b88f |
To further extend our result, we also consider a probabilistic reconstruction,
as considered by the authors of {{cite:c919669c805e21c8dd8468b02f6a4779a52c5df8}}. Given a {{formula:b9d36ff2-5802-49c7-8870-4b5d040fd7d9}} chance of
correct reconstruction, one can find the smallest sample size to guarantee the
given chanc... | d | 9183f116a80b8dcd044d21a708597585 |
A Unified View.
We show that HyperLogLog
is based on {{formula:71057a02-6cb6-4684-bb28-0c31059a75ae}} and that, properly interpreted,
LogLog is based on {{formula:0ff05095-af17-473e-ab64-28a768abcc88}} .
Moreover, Lang's “coupon collector” estimator {{formula:cd72780c-5214-46b2-a606-a275911db618}}
for PCSA is based o... | r | f6c2cf2eee6ceaa712a42e60bceaf924 |
To gain a quantitative understanding of the baseline results, we employed ROUGE {{cite:c1a56a1db1932b2e6202dcdfd1ebb29eb64f162d}}. ROUGE is a standard metric used for evaluating summaries based on the lexical overlap between a generated summary and gold/reference summaries. The ROUGE scores for the unsupervised summari... | r | 223b37aafb23b8a8a2cf73d40820e1af |
When {{formula:6d377c89-8726-4401-8ac4-1b940f5a89b3}} and {{formula:06ae702b-1190-4b35-b1ba-ee70110dad37}} are assumed as specified functions of space and time (as assumed in the development above) the Euler-Lagrange equations (REF ) with the definition (REF ) amount to those of the nonlinear elastic theory of disl... | d | 731c81645903bae67cc8bbc47325e61a |
The components {{formula:71e19576-87bd-4295-b6b3-db38284b5974}} of {{formula:b5e5c8e3-77b9-4ff4-8365-99ec16eef7e5}} have the representation
{{formula:66eed385-a25b-45ad-8c76-138ddb2f6e67}}
where {{formula:5c0a8c8e-5251-4289-92eb-a43bc2dace73}} are as before.
Main results–Poincaré-Maxwell-Borel principles
One type o... | r | b87b859d9acf50ff33d31bf3cf80b0d8 |
Robotic grasping addresses the control of a robot to grasp and transfer. Rapid and reliable robotic grasping has been researched for decades and is useful for many applications, e.g., manufacturing, retailing, and service industry{{cite:8620c28eb63f79e74e3a523e44da46443e5218f9}}. For most of them, being able to grasp a... | i | 233f579c0882f82fc57109ee73df8d3a |
Our new result improves on this by showing how to extract nonuniform loss layers. More specifically, let {{formula:c6a51dfb-96bf-404e-8527-230f1f47ce63}} be the shortest path between input {{formula:562bf099-14b5-478a-80de-b096e9cd6520}} and any output within some network. We show how to write an equivalent network t... | r | ffc3939055be1094f4a2d02846601db0 |
We now present several examples of first degree iterative methods; for each see {{cite:3517b1ca8fc2a7148123dcf5e0b08d95b21f827e}}.
These methods are seldom used as linear solvers in contemporary applications, but are still sometimes used in conjunction with other methods {{cite:4f6f730d346904513770627c4bdbd9ff1ce0ea0b}... | m | 428ef7e44892b6bbece178c3a0af0786 |
Each expert is a neural-network implementation of the actor-critic model {{cite:35a9d165337642d01a356cd2ed7fb91615af3ba6}} adapted to work with continuous states and action spaces {{cite:2a69b2f04777ee6aedf354c88da86503b2f26fa7}}, {{cite:15ea34e75493620a0df295c2541c54bcd3bfe46c}}. The output of the critic ({{formula:69... | d | 3e4237eaaed9c98e908d0744ea85e398 |
Despite the great success of the standard model (SM), it is widely expected that there is new physics.
In particular, there is an anomaly in {{formula:ef6f1af0-3fcd-4865-850e-4d92592b2a05}} {{cite:79a40c4d5d7c0b6393f724ad3b25db733e252787}}, {{cite:1ccde1da1039bf54ffd5b830d6c53bd5954a3bf4}}, {{cite:7dac28046658f0fb89a3... | i | 1dfe19097eb2ee237f4999245cc33a3f |
Analogs of Problems A and B can be posed in the context of Sobolev spaces {{formula:5eb96c85-0f0b-4084-b47a-9f37fd63b2cc}} , {{formula:30cd7cfe-f739-4ad8-8cb4-81fb9cc9b3c8}}
and even more complicated Besov and Triebel–Lizorkin spaces. Many articles address these problems.
Let us just mention {{cite:c7384d25875b0e8d09c... | r | 978f73828a900aa076b11852cf890af1 |
Since {{formula:54454e3b-fb7d-4bd0-8c9b-903dd0407c7f}} , it is enough to prove the lemma for {{formula:887660c1-8a20-4222-92c1-a8e4b93323c3}} . By a standard {{formula:51d6d99e-6e3f-4943-87b6-9a8d2ece7e6c}} -net
argument (see {{cite:c02067daf63f237f584003de877b503f9e19b47a}}), we know that
{{formula:efbb3a5b-336b-41df-... | r | 50f6aae70ffec4149c75b7c278ba1f82 |
Although we have chosen to take a simple data-free approach to training our model, which does not rely on any exist text-image paired data, there is now wide availability of such datasets across a variety of domains thanks to the open-source efforts of LAION{{cite:d575747b81b8ef2e308c21ecb2b26c8476ef9a06}}. To make use... | d | 1e9f7f5b72e73fc43ca1b0a496ff852b |
where {{formula:a4a008c3-b71f-4c17-b33b-fead5ffb56bb}} is the index of the spin-configuration data sets ({{formula:2711fa16-e3ca-437c-8aea-6706a3fbbb76}} ), {{formula:9a1dcc9c-91a0-4440-9347-61940cd0e9e6}} is the index of the output nodes or the discretized temperature points ({{formula:a320d0e2-8840-4622-8f85-6e1a1b... | m | ca80c593495c2c60601532136752a388 |
In this paper, we have introduced a novel paradigm for Bayesian posterior approximation in Deep Learning using greedy ensemble construction via submodular optimization. We have proven a general theoretical result, which shows that minimization of an {{formula:7dd44c42-aa26-4220-927e-8f5dfbd145bc}} -divergence between s... | d | fc3403d27773abe8bda012d50858e1fc |
As shown in Table REF ,
without pre-training on external text datasets,
PAN++ with the shorter side being 320 pixels yields an F-measure of 79.5% on CTW1500, surpassing most of the counterparts, including some methods (e.g., TextSnake {{cite:50629812c34e8dba72f02bf4414f978f14f182a0}}) pre-trained on SynthText (79.5% vs... | r | 0f783174ef3395a141592c3395857be6 |
Our method builds upon NeRF {{cite:e51d5174cbca33b4a4b93e04b443b1dee1a5e6f6}}, which represents a single scene as a collection of volumetric density and color values. Crucially, in NeRF those densities and colors are not stored in a discrete voxel representation. Instead, NeRF encodes densities and colors at any contin... | m | 20d3d5fe4970d0c25dfd5c65f16deb0b |
In this paper, we use AUTOVC {{cite:e47811be8828b38e7f81d80f5506210fc9c78eb1}} as the framework. Because we focus on the impact of speaker embedding, we keep the content encoder and decoder settings unchanged. Under the framework of AUTOVC, we propose a novel speaker embedding extraction method, which combines the adva... | m | e1e0c8b86265cd4bb7629e3d342d4835 |
Auslander-Reiten theory was introduced by Auslander and Reiten in {{cite:b812647a9ef5eb4e6cc71c38b6fe2349ac57f517}}, {{cite:c4e8dd162a93dfe99f434196e5d28e7ff749e2f3}}. Since its introduction, Auslander-Reiten theory has become a fundamental tool for
studying the representation theory of artin algebras with a great impa... | i | a0a10a3ef7fc0726b78982ade919a264 |
One of the most available techniques to study the spin dynamics is the inelastic neutron scattering
(INS), which directly measures the magnetic excitations (MEs). Compared with the well studied p-type cuprate{{cite:625fb56892f5fcc69ad86db5b0a7eac3f70d003c}}, {{cite:d3da07345f34814014c8be0b6db06ea8483bf76e}}, the invest... | i | 694de816a836bff93937e0599abba3a5 |
can be solved efficiently for any linear functional {{formula:0b7b9cab-52a8-43fc-8f37-9e515f6dec8d}} then {{formula:eef0f3cb-77d6-4c35-b3f9-f68b1dc8f87a}} can be minimized to accuracy {{formula:f824b140-b14b-4e5f-beb9-989a40958ebb}} in {{formula:8323d39d-cdd7-4c03-ba0a-6402724e4260}} iterations, where {{formula:01e... | i | 15050842dbbedffc9d5b9029c3d6e7b0 |
Inadequate modeling of interaction mechanism.
Existing works {{cite:fe3dfc827cd01877da8a0359c36f7fd8678b2bce}}, {{cite:424fb8090219357ecd8b508b5ba83cbe93b0c7fd}}, {{cite:ffca0ecfdcbc5e197888e018facf84fcf55a8815}} learn molecular representation and make prediction based on whole molecular structure of drugs and protein... | i | 627617756fe792ea76c18a577190b040 |
Recently, {{cite:56134962fca9feeb9ddcee88bdea4b6064f93303}} proposed the Co-Attention Mechanism in VQA and got the state-of-the-art accuracy. However, when we use their code and the same setup mentioned in their paper to re-run the experiment, we cannot get the same accuracy reported in their work. The re-run results a... | r | a02713eac9d01d411ac0c77fdcf55882 |
As a cluster-scale generalization of Grumiller's gravity model, we presented a gravity model in a navigation scenario in Finslerian geometry {{cite:e7ca5ee6dffc967c37bdbd7c42b035dd62250edf}}, {{cite:c20b404c507b1b055b55a90cf3030a35ae11ff79}}. The galactic limit of the model shared some qualitative features of Gumiller'... | d | 0322bf206902a8a8074233bc72ac6269 |
To mitigate these communication bottlenecks in DNN training, several gradient compression techniques have been proposed {{cite:5835c42c05db0e18583ceb72fd65048140998c48}}{{cite:43e3c13725832dfbfc32dc81f02c7a9383abed13}}{{cite:d7d1d6f305901b37883f184ad71f0ee812be85ca}}{{cite:488a42074c2b87de7ac76bc225a0430db61c7354}}. Mo... | i | e464ea976c2c0162e9474e8ea3fd2b4a |
In this section, we first present the major theoretical results and analysis of our algorithm. Next, we extend our results to the case when the time horizon is unknown
and the case where the variation of consecutive constraints is smooth enough across time, which captures many practical scenarios and has been frequentl... | r | f972633ab1198b4373bb5045e056c650 |
Finally, there is a debatable contrast between the model proposed by Cheng et al. {{cite:94f579ab92c29dbc783b1e9843b4e97460ed26ae}} and other state-of-the-art approaches. In other words, there is a significant gap between in model size (number of parameters) of Cheng et al.’s model and the similar high accuracy models.... | d | 412ccc6fa5af382093b73ed9140de4c7 |
In this section we describe the process of building a binary sentence classifier.
This process has several steps presented in Figure REF .
The ultimate goal was to efficiently build a training dataset that can be used to fine-tune the BERT model and compare it with other advanced NLP methods. Bidirectional Encoder Repr... | m | c2f911b001ce2eecf15bc52209823a0f |
Because D-HNNs can perform decompositions, we were able to test their ability to answer counterfactual questions related to the dissipative component, for example, How does the friction coefficient affect the dynamics of the mass-spring system? As seen in Figure REF , D-HNNs can predict the trajectories in systems with... | r | 48742e300dfd1c97ee5fe62562828df1 |
Table REF reports the performance on the Pascal VOC 2012 dataset. With a language model as
class encoding as shown in Figure REF , we obtain similar
performances as GAP {{cite:9524f8d5f6426a1997bc62f51833d732957f1000}} and SPA {{cite:b079ef02b9af240f25b2c33d0f4fe4b5c0b1a07d}} using the same
WideResNet38 backbone. By u... | m | 6e016372b39b20e187cd11133e57aff1 |
ReMixMatch.
ReMixMatch {{cite:9beac6090968f87f3e62ea1688af68f4b73e3e8d}} extends MixMatch {{cite:af80d570515c00f508005a7edfc078247373f8b5}} by introducing distribution alignment and augmentation anchoring. Distribution alignment encourages the marginal distribution of aggregated class predictions on unlabeled data clos... | m | a73da0451e8e175b9c8a26d9a66db637 |
To demonstrate the proposed workflow we use it to validate an inverse reinforcement learning (IRL) based model replicated from a study that proposed one of the first IACs for autonomous vehicles {{cite:e459cfb8d73baa14cbdacfd093a0fbd39934bc6d}}. The choice to validate an IRL-based model was made because this increasing... | m | 304030d2bd26753e214271d35efe8315 |
Overview.
Recall that given a sparse set of calibrated multi-view images {{formula:d29ad5a3-01da-40d9-9fcf-2b65fd55ec07}} of a person, our goal is to synthesize high-quality images of that person in arbitrary novel views. To this end, our model is asked to tackle challenges of {{formula:37c0eeaf-6dda-44db-b8c2-733cb39... | m | dd0af4d547e75befa0f20059473ec592 |
The mass-radius ({{formula:6cea9e4c-e130-4a47-b64b-7447c9d36c58}} -{{formula:280c11c1-98be-40f8-a626-17c76b37f5e9}} ) relations corresponding to the EoSs in Fig. REF were obtained by solving the Tolman-Oppenheimer-Volkoff (TOV) equations for static non-rotating spherical stars {{cite:052ff5b7f7e7d6391e6c2d1b2d888ce7fa... | r | 687c939859b29900641aebc6e3310670 |
QRAM is a widely used data structure in many quantum machine learning algorithms (e.g. {{cite:ec28f1bae761a383f86532a38e4b63f8a17895dc}}, {{cite:a4c87c1f375fedcddfe46de488e6f1254e5a2fea}}, {{cite:f2e602054f4d80dd2b2c014d50b34b9a6be61525}}). It allows us efficiently to prepare a quantum state corresponding to the data a... | i | 6dbdbaab39ab5aae9b6038d73993342c |
The above SLAM problem can be efficiently solved by computing the MPD of the hidden random variables, including the DA.
The MPDs for SLAM are approximately determined by the BP (i.e., message passing) with the sum-product algorithm {{cite:feb210995651468abb8a63ccb9954370df2440ac}}, known as BP-SLAM {{cite:97691bc615494... | m | 438aa2bb12b90fe4dec75484de0c537d |
To determine the possible spatial structures of the system of a
given number of atoms, the molecular dynamics simulation (MD)
method {{cite:9bcc18b7667540f8640ecf8344316c1ecc8deb0e}}, {{cite:a9d805eba963381782b9d12881bb0c5cdb3010b1}} based on numerical integration of Newton's equations
of motion was used:
mi2ri/t2=mia... | m | 2d5b8f16e6d3c40248371d6bd3e80d2e |
The simulation is evolved for a total of 3.3 Gyr. The axisymmetric stellar disc which is in place at the start of the simulation (which we refer to as the `old stellar component'), rapidly forms a bar after {{formula:41f2fe3a-f387-4764-b25c-dc51ace2c7fe}} 0.3 Gyr (we define the bar as being fully formed when the {{form... | m | 7d11e9d081f5f45031dcccc03fff2593 |
Secure Multi-party Computation (SMC) enabled secret sharing without a trusted third party {{cite:05e6eb29365a359827c85af9edf8ef490d07ad7f}}, {{cite:78f118bdf9ee15cf769976a101b02b8a2c4596cd}}. Furthermore, SMC deals with cross-silo settings, where clients may be unreachable, dropouts are common, and communications expen... | m | 8ba0430fc99f4bafb247721c05cda9b9 |
For the synthetic dataset, we used the central-smoothing hypergraph neural networks {{formula:e5efad26-dced-4510-9e65-2cedca6f3231}} , the non-weighted central-smoothing hypergraph neural networks {{formula:e6517659-7c20-4836-8868-b0343130e8b6}} , and the existing spectral based hypergraph neural network, {{formula:c40... | m | fd98b733a401fb5ed568b3f74490a03e |
Conservatism drives other calls for raising the classical hurdle. {{cite:03f838314976d920bdd253a41b98a53c52bef065}} also justify raising the hurdle using Theorem 1.3 of {{cite:f344af252ba644064e38c47a077a65bcf1a3044d}}. This method is thought by the statistics community to be excessively conservative. For example, in h... | m | 6616780bb8131f5ef2f2c2e64c3d76bc |
One alternative approach to making DRO robust to outliers is removing the outliers from the dataset via preprocessing. In Section we used a simple version of iterative trimming {{cite:242316084a91186069df277875616a5642298e32}} to remove outliers from the training set. Compared to iterative trimming, DORO does not requ... | d | 05af12cc15f698479faf8072da0ed7dd |
Our PoisonedEncoder is also effective when the pre-training dataset is large. For instance, our attack's ASR is 0.7 when the pre-training dataset is the full ImageNet dataset {{cite:8c770991c5cfa06635d3b63355dd53e46b8a3c98}} and the target downstream dataset is Facemask, where the parameters are set to their default se... | r | 7568f91f6a04d8296cebc3cbaa2264f2 |
We now focus on an important feature of a general loss function {{formula:35cc91d4-f405-4802-840b-5cf86d008dbc}} . Consider the loss difference {{formula:d3a60f25-217f-4c60-914c-a490fb670bc3}} between an optimal solution {{formula:4072a977-e3bf-4c03-a9ff-20bb4a07f196}} and the true coefficient vector {{formula:b303d1... | r | 4d8cc2cd3c8a4bd92398d7af44c02c47 |
Hierarchical clustering is a method of cluster analysis which seeks to build a hierarchy of clusters{{cite:ff3c1d2f528b0eb6b4e83453ea5d4db961e45929}}. Its representation consists of a hierarchical system (dendrogram) like the taxonomic hierarchy in biology. Strategies for hierarchical clustering generally fall into two... | m | 78d45e5b03f6ac76ef4d4fed6ae8a998 |
Without loss of generality, in what follows we assume {{formula:8ecc6772-4760-4cfb-abb5-6df8ca2ce21a}} and {{formula:18559b5f-b833-438c-b21e-dd841ccfd80d}} .
The {{formula:b8530ee6-b269-4055-950d-c015cff19367}} argument and the reduction to an exponential sum estimate
This novel approach within the realm of our topic... | m | d6c944fefcdff68a82d0f1db5fa90446 |
with some tuning parameter {{formula:4cf5c95b-a247-46b3-8485-bba09b68b1c7}} .
The estimator in (REF ) modifies the Dantzig selector {{cite:5b561cd2c18547732c6808bed27fa3f238a8e20e}}
proposed for high-dimensional linear regression,
and has been considered by {{cite:3d1aa245813c8f952074fa08198012fb6c166b44}}
in the cont... | m | bb9939c46b770442088c747f3b691d41 |
Making a comparison with the results of {{cite:09f0860b73fc9e079cbd5a8fe51123fd914902d6}} is less straightforward. We have used empirical relations from observations to estimate the temporal evolution of the solar wind properties as a function of the rotation rate as an input for our cosmic ray transport model. In cont... | d | 7da5b6f761635277478542696224f087 |
We have followed the EBCM approach to derive equations (REF )-(), which describe an SIR epidemic spreading on a multiplex network consisting of two layers: a static network layer representing persistent human connections and a dynamic network layer representing temporary human interactions made outside of a typical hou... | r | 1a815ac0670f3d9031b9b15bacd413b3 |
First, Definition REF and Problem REF rigorously deal with a potential ambiguity of {{formula:6fdd7c11-5146-4b36-992e-477436889242}} -nearest neighbors at equal distances, which wasn't discussed in the past work.
The main new data structure of a compressed cover tree in Definition REF substantially simplifies the na... | d | 9987a9da18397756bce0975b6cf40ba0 |
To describe the distribution of the electromagnetic field on the far-field
sphere, it is natural to use spherical coordinate system as well as
spherical basis, for vector decomposition {{cite:85ec8ab55464189920475ef1e0441c24b65a576e}}.
Given extraordinarily detailed theory of spherical coordinates {{cite:1dbe6739627b5a... | i | 679b57d27d1151d59a41511c685f743e |
We notice that the feature fusion performance is inferior to all the remaining fusion techniques, and prediction fusion performs better than feature fusion. This result is consistent with an observation that prediction fusion achieves better results compared to feature fusion in general, as reported in the existing mul... | r | 6cd94898a038dcb8b0bb0593d52204f0 |
Remark 3.2 We have to clarify that in the original SPA paper {{cite:d72c9db89d91024e8966eccaf5943c3fc44e5e6f}}, Gerber et al. refer to (REF ) as the SPA problem and refer to other literature for solving (REF ) (e.g., {{cite:5705e96b7259fc1f789c8ab783bdf3e7ebaf009f}}, {{cite:8d3e3c2c0d0784dd5cc7b0b6086b665d32dd761f}}, {... | m | 9871dbf0672789bb63d9df45fd423cfb |
With the wide applications of X-ray in physics, chemistry and biology researches, facilities which is able to generate X-ray are under development in the last century continuously. Free electron laser (FEL) is a novel light source which produces high-brightness X-ray pulse {{cite:4128d0a64f8530eff2b2d36ba0f3079c01ab256... | i | 9e108e8ce7a6a5fb1dafad4b584f4267 |
It is known that multiphoton, linear interference can be the basis of a powerful, albeit non-universal, model of quantum computing, since it can be used to sample a probability distribution that is known to be hard to calculate. In particular, the distribution requires calculating the permanent of a matrix based on the... | d | cc6e2f8efdbceadc3a5333cc721e778b |
RotRef {{cite:87a779133988019dcc703d3e8d8e48fc90baf486}}: Extends MuRP with rotations and reflections in hyperbolic space by learning relationship-specific isometries through Givens transformations.https://en.wikipedia.org/wiki/Givens_rotation The result of these operations is combined with an attention mechanism in th... | m | 4b1556ba39e30c40170d09bb382aa4d7 |
The electronic structure of PM and FM phases are different — PM phase is metallic whereas FM and AFM phases are semiconducting {{cite:16fee49fa1154783f2487316c8b957a0483cafc9}}. This difference can be important for phonon transport, particularly in metals where electron-phonon scattering can suppress {{formula:a19c226c... | m | 6aafe86714df1bd8895c5f690075810a |
The {{formula:83c32091-79ed-41b4-a58b-554df716ff29}} gauged supergravity with particular values of {{formula:401cefac-30f3-4ede-9f75-ca0411fadf7a}} and {{formula:480b4255-7046-42ab-b23b-99797af040b2}} has been considered previously in {{cite:32d2b9f076c3e14826d0dcb037aef6019e3f9309}}, {{cite:5d8cefa565d7fa6295ec55c9... | i | 295de1cb5dfe07cfdb0634f22de4303c |
Framework Overview
The workflow of our proposed ACTION is illustrated in Figure REF . By default, ACTION is built on the BYOL pipeline {{cite:32f53855a71de4f0ae6bf0480c9bcabee14b5b8b}} which is originally designed for image classification tasks, and for a fair comparison, we also follow the setting in {{cite:52a26907... | m | 45fae53889081c452f1e87cf2d0e4200 |
Random geometric graphs {{cite:e241f34c727dc5c6a3055f37b2b0c8f5e536f47b}} are defined as sets of
points sprinkled uniformly at random over a (chunk of) geometric
space. Every pair of points is then connected if the distance between
the points in the space is below a certain threshold. Given that the
latent space of rea... | r | ccfe731b5d4ce5052148d45fb1940c66 |
PRID2011 {{cite:58e76f47662dbcecd4c66ec22800e74096e2bbb3}} is the least challenging of the three benchmarks, it features 356 videos from 178 identities captured by two cameras monitoring crosswalks and sidewalks. iLIDS-VID {{cite:f47c1f216e7a61601c44b3624eba065083d933fe}} is captured in an airport hall. It is a two cam... | m | a38ed1383844bd274647b9c5bf9e79c3 |
We are now ready to uncover the spectral and localization nature of
the quasiperiodic NRKHM with the help of the tools introduced in the
last section. In Fig. REF , we present the maximal imaginary
parts of {{formula:54dd900f-4cab-42f2-9ce5-8bf038dda644}} [Eq. (REF )], the DOSs with non-real
quasienergies [Eq. ()], th... | r | 5e1ddef1c1ce559e96efe32b438f7880 |
Methods for comparison. We quantitatively and qualitatively compare our methods with other state-of-the-art methods, including optimization-based methods (ACC {{cite:0a54829d35757e75d3c3849ccaab4f4f3965db0f}}, CAE {{cite:62f1125632f8f8244cde590a09f48781c13e56f5}}, SPO {{cite:5ab8a63194e08b68c40a43d063438acbc41535c2}}, ... | m | feb51f24857de20a96d57f96ea5ebc67 |
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