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Individual spectral studies of the most interesting Chandra sources will also be presented in follow-up work. Here, we have simply mentioned a few highlights. The most luminous ULX in the sample (a source in IC 3322A with {{formula:d21fc5b2-0101-4f51-a130-61724191bd0d}} erg s{{formula:06a0a4d3-bbd2-4f1f-a192-8d87bc5c7... | d | ad54aea0b59c73db292ce85a07a41621 |
The proposed analysis also corroborates existing explanations for techniques that successfully improve generalization, such as data augmentation and contrastive learning.
Both were indeed shown to depend on the injection of additional knowledge, respectively in the design of the augmentations {{cite:9699115e4038223af08... | d | 6ac3e7201e2153d9620f025110f96fcf |
Two of the most common strategies to solve OC problems are the Pontryagin Maximum Principle (PMP) {{cite:b12bdd9f45ca49ee026b778450a8a8473ea68064}} and Hamilton-Jacobi-Bellman (HJB) partial differential equation (PDE) {{cite:d21a05d14838282dc0283399da8a933c651310e1}}. The PMP is often suitable for high-dimensional prob... | i | af838390c106a3080982f5974c41f041 |
CVAE with VADE {{cite:49b231f1c72136c42710ad5344ac1df7249d9b0e}}, introducing a Gaussian mixture model in the latent space, to obtain a better representation of the text through the clustering task.
{{figure:c46b9dcb-b250-43a9-b638-63e2411e973b}} | m | acf41939a436150425844bd1de26aa93 |
We also perform the evaluation on UCF101, which is a bigger dataset than HDMB51. A comparison between our method with state-of-the-art results is shown in REF . Similar conclusions as with UCF-101 can be extracted. Our model gets 82.69%, only using RGB frames as input, outperforming the models using just spatial inform... | r | b0ef0725504cda5a36f9666eaff5eb78 |
The MPP has been simulated by means of the Whizard event generator {{cite:a07ee8daafa8f68c11648241705d9fbbb3a38034}}, {{cite:c2a3504c8a7805b51342f167aabb10943eb6dc32}}, run in such a way to take into account the incoming beams features. The muon beam transverse normalized emittance for all the schemes is also reported ... | r | d407736f265e9ac542793ca6e5404b08 |
At the crux of our analysis lies a new restricted isometry property of the sub-differentials, which we call Sign-RIP.
Under Sign-RIP, the sub-differentials of the {{formula:a04868ca-8c47-44a3-8087-84923ed90564}} -loss are {{formula:8d9e0010-8889-47cf-889d-794fb1e9d921}} -away from the sub-differentials of an ideal, exp... | r | d7012deef46bd748f42a1c352d77e0c9 |
Generally, these methods simply model the result consistency on observed transitions, with the transition {{formula:16f27604-4aa5-4e8d-af63-24b331825043}} implicitly conveyed within the training data.
For example,
Pix2Pix {{cite:75f9eb39582083e33f932608bc7ffb993f2d16f5}} use {{formula:ecca6bcf-35a6-4a16-9148-15fefbace... | d | 99f6aae8d7898df26d31f7489047c5b0 |
Recall that {{formula:f141633e-36e4-4592-9b1a-90185aa147ca}} is topologically graded with conditional expectation {{formula:dba8a96a-2c99-4e87-a8fb-453fda4efa04}} . Since {{formula:bb9149ef-7042-45f0-93d3-7e80717e0a21}} strongly reduces to an amenable group, then by Lemma REF , the gauge action {{formula:6331ac2e-d42... | r | 58041bfe5f996b207be9d04a52fb8674 |
DIME and D{{formula:1054c8ec-0f8f-4c5f-bf23-ea5bdc700ade}} both reliably detect both types of OOD-examples, and are to our knowledge the the first methods achieving PR-AUC {{formula:cdabf392-b34a-4b10-b180-eff6b94d4a04}} 80 % on the Tweets dataset in this task (see Figure REF D).
Surprisingly, distance-based metrics ... | m | d767e0433feecb9032061785c798d88a |
By studying only the quotient structure of certain spacetimes, it is possible to learn much about dynamics and quantum corrections on those backgrounds. A principal tool to accomplish this is the Selberg zeta function, a cousin of the Riemann zeta function in which prime numbers are replaced by prime geodesics on a hyp... | i | c7cd71af03323d5905fdd905e4f1382d |
The CelebA dataset consists of more than {{formula:79455d6d-923d-4642-9ee3-5791d19e39b1}} face images of celebrities, where each input image is cropped to a {{formula:e93fbe87-c8bb-4fba-b17e-ddb28e7b1734}} RGB image with {{formula:27dbfa1d-f1e4-4c5e-8b8e-1cc1ac66a59f}} . The generative model {{formula:57fe14e5-5e37-4... | r | 028d64933cef5403c1c6850f73164dee |
We expect to detect more flaring stars as well as extragalactic transients in a future systematic search for transients in the ACT data. This will permit an assessment of the associated event rates. The large area mm-wave coverage of ACT and the upcoming Simons Observatory {{cite:dbdce8f469cfadac1eaf383b31f3c862eca36ab... | d | 9fd30ed971bce36964f54a8ff3b25383 |
In {{cite:8f3ed1d4632293f084c71d057bc9e40cbaca6982}}, Gu et al. described a backdoor attack which, instead of forcing the network to classify any stamped image with the target label, only alters the label if the original image has a specific ground truth label {{formula:7f2d6dcb-57a3-494e-a05a-38dd28eaa188}} (e.g., Bo... | d | ed0bc6008eee7df731a89a85720ce2b0 |
Although exact EF1 and PO are not compatible, we prove that for an arbitrary FISP instance, there always exists a {{formula:b26bc88a-2b93-4996-8df3-6b20bf87050e}} -approximate EF1 and PO schedule, which coincides with {{cite:e0a239385883814ed00c879c1513abf69c06bbee}}.
In the setting of {{cite:e0a239385883814ed00c879c15... | r | 4c685914cfdf32c5d10acc48ed49f4b2 |
Lastly, it is worth noting that shock propagation within impacting drops and along impacted surfaces has been investigated theoretically for compressible drops with the liquid Mach number {{formula:30f1bec0-a3ee-461c-a2a5-a2560e1600ad}} {{cite:2fa7c21c24f817c35990c940bb40e089f53d81f1}}. Nevertheless, the shock process... | d | 3d1a44aebc7510a569cef83bf3d9426b |
•
We propose PokeConv, a binary convolutional block that can substantially improve BNN accuracy. We replace most of the convolutions in ResNet {{cite:df79c5a121877b3d910e161f7d0b3301943567ea}} with PokeConv.
•
We introduce a novel PokeInit block to replace ResNet's initial convolutional layer that is hard to binarize. ... | i | 309f00afa4e783a08408a3a06b8f31cd |
Here, we investigate behavioral cascades that spread socially through animal groups. Specifically, we study escape waves in schools of juvenile fish (golden shiners, Notemigonus crysoleucas) {{cite:bce0d3f6ac49681a5af7b89a9fdd6203706f9424}}, {{cite:49e6d9890c6548e98f1f416b3e6b7bc415f7f95f}}, {{cite:983fc5f077dc8bbd6b87... | i | 3b28e4cb5c20c228ec62ae8c89701adb |
In this paper, we provide a bit thread interpretation for the OSED tensor network (which is also named as “surface growth scheme” intuitively) proposed in {{cite:1b9c694575cec402f0dcb09859d56c85687852ee}} and later generalized in {{cite:466075b76868349e62f2ed5879da4ecc09dc82d8}}. More specifically, based on the locking... | d | ebf3552bf483fc1956bd036b25bce174 |
In this section, we first revisit the definition of vanilla KD {{cite:5d83f85d846cd04ffc611c2182489e17fe911c69}}, which transfers knowledge from the high-capacity teacher network to student network with soft labels. Then we describe the proposed similarity transfer for knowledge distillation. Fig. REF compares the van... | m | 1eef6e434697bdae0b3c56bac3e19665 |
Recently, with the unprecedented advances in computer vision and natural language processing, we have seen a considerable effort in developing artificial intelligence (AI) agents that can jointly understand visual and language information. Visual-language tasks, such as image captioning {{cite:638fed46f2349d557160685b6... | i | de6f2346d9d0250d101d146a588eae7f |
Moreover, the proposed framework can be also applied to high-order Markov decision process (high-order MDP). MDP has been commonly used as a baseline in control theory and reinforcement learning {{cite:914b0465164c3c4d9c53c873a8a6d48128a92086}}, {{cite:8f9ea8142bd51fbac7b0e1fd4c0daef63285ce68}}, {{cite:015f733022d08cd7... | d | 99adbf9a031049ffdbbb2994bead5590 |
The most important consequence of magnetic fields is that they increase the phase space for neutral mesons;
at large {{formula:6e5d8f69-b88c-431b-bf82-882556cdafba}} , the phase space enhancement of a factor {{formula:fff189bc-8da6-407f-ac2d-626fd884e113}} takes place.
At low temperature where the lightest neutral mes... | r | 1bf8e4b1bc9c70e75bbf987919ddbe72 |
In contrast, there are several GAN-inspired methods for generative SSL.
{{cite:5a97521bafe232a577c528d77a862ff5026014a8}} devised the “bi-directional GAN" method, where an encoder maps the image distribution to the GAN latent space. Further works {{cite:97b20f7eee79e3cf60f70ea5d303babe5f8b4d96}}, {{cite:87e0a4e96a48172... | m | 1ba2f590bcdcc7adb64dc53c3fefd908 |
The method presented in this paper also holds potential for other settings where one estimates entanglement of the easily accessed probes with precision advantage and reveals quantumness of a macroscopic mediating object.
In particular, this includes an extension of Refs. {{cite:bfa533373b3cf23b79e26cc0af67e6add0c1f942... | d | baab560a78ba77ad57ad9a2b82911f48 |
To compare the effectiveness of leveraging monolingual data between backtranslation {{cite:ae500603a76bc42887ebe840491e300065eb8984}}, {{cite:72f1ad11c016f0360dc65ec6813128e779cd4925}} and our model, we train the document transformer {{cite:443f4544f07ad28a776f352cd1c2e66a6eb33aa0}} using additional synthetic parallel ... | r | 2d6d71c7023b057d94ba91f2c41c08a9 |
In this section we briefly present the two main components of the methodology adopted to classify and explain the ISIC dataset.
Details can be found in {{cite:1512d4364ad1a6065bfb7775417b4d123ef0454e}}, {{cite:fa89c9e026e21134015e9d6217e9f4ab6e717895}}, {{cite:84b4b608b75dbbd068e8c62c1520f8bfef636dd6}}.
| m | 83d1c800ae13dd08ad2e5ad2033ba345 |
To provide a complete comparison, the learning curves of the compared state-of-the-art unsupervised embedding learning methods plus ours at different learning epochs on CIFAR-10 are plotted in Fig. REF . As we can see, for the first 50 epochs, our performance is slightly lower than ISIF {{cite:7735a587a1b9909f25506a571... | r | b23a3117b7af68dab0147d8f49c82dad |
From the defense perspective, existing studies focus on model-specific defending strategies for whit-box attacks. Other defending strategies are also worth exploring. For example, adversarial training is a widely-used strategy to improve model robustness against adversarial attacks by incorporating adversarial samples ... | d | 769341d4f60d36c1b27ab514932e5a9a |
The main difference between our multi-fold masking and previous work multi-crop {{cite:8446ba5b10a85ac9fd39f11b541ab3b70bbb54f8}} is discussed as follows.
The multi-crop strategy needs to train multiple random views with different sizes without concern of complexity.
By contrast, multi-fold masking just rearranges the ... | d | a1da8f31070f93da48866a1428deb6ad |
The phenomenon of {{formula:d5d8d9d1-e455-4625-b231-f8b1cc059055}} oscillation is analogous to that of neutron-antineutron ({{formula:630c6fd0-6f8d-4fd5-8707-82e04eb99fbd}} )
oscillation {{cite:830c86697840ba0e0589039f005d3471c9f92571}}
(for a review, see {{cite:d90437a9b14c092f89c25d33074b4c9a81099748}}), and in fact... | i | 0958e334c917a370d5e2376de42ef79b |
Quantum computing provides a fundamentally new approach to computation by exploiting the laws of quantum mechanics that govern our universe.
In this computational model, a quantum circuit consists of a sequence of operations each of which is either a quantum gate, characterized by a unitary matrix, or a quantum measure... | i | 808e16ba2f029c32a299814a60afd789 |
With respect to {{formula:cd594586-8178-46d8-8c95-ca5be5c7182b}} channel, the amplitude in Eq. (REF ) is calculated using the effective Lagrangian as Eq. (6) in Ref. {{cite:495482c2e4aada1e0d1c5a9051b9a0918becb9ff}} to describe the {{formula:f58e1b3f-5222-4080-a778-920bb1c886ad}} process and the interaction coefficie... | d | 929cf7bfb8673874b660740bfb495c98 |
To achieve better performance, some recent methods exploit unlabeled or synthetic data for training. Based on the generated synthetic data {{cite:414df9faac8996c676dd60b069d96ab9925ae075}}, the supervised learning and domain adaptation strategies are proposed to improve the counting accuracy significantly. In {{cite:ee... | m | 2c2ffba0658a0090165286580e24a74f |
Though we discussed the potential model extension with rolling horizon and incident duration uncertainty, we did not implement these extensions in the case study due to the complexity in updating inputs at the simulation environment. Incorporating real-time information as an adaptive RO would generally increase the mod... | d | 576cec494131dff9474f58b208c0a90a |
Such restrictions define certain sets of continuants.
The problem arises is to find the maximal and the minimal value of continuant
over these sets.
Some results related to this problem were obtained in
{{cite:2eef041777418bae296d88784c15a5331d5e93c7}}, {{cite:09eb837711db331c54156f9ee983886192951fe1}}, {{cite:6b59ab8c... | i | 879d279c7a129719ff0c1ed23953c494 |
The existing methods for self-supervised monocular depth estimation could be generally categorized into two groups according to the types of training data: the methods which are trained with monocular video sequences {{cite:1531303826149e21787df8c73b0d2f68643fc309}}, {{cite:7e6fc30016c3a6ef62e70c0e7966147510828858}}, {... | i | 3ec70985c196dcde05c8a27f43e2e9eb |
The Burrows-Wheeler Transform (BWT) {{cite:eae4432d3b51c6f4b52bb393030a1d806675e951}} is the basis of the popular compression method bzip2, yielding, on many types of possible input files, better compression than gzip and other competitors. As a matter of fact, BWT itself is not a compression method: its output is a pe... | i | 43c6c85a7b53d45839ef07fb468078a3 |
We observe that KGIRNet outperforms other approaches for both goal (in-car) and non-goal oriented (soccer) dialogues except for BLEU and METEOR scores on the soccer dataset. The effect of knowledge groundedness is particularly visible in the case of soccer dialogues, where most models (except GLMP) produces feeble know... | r | 54caf636a8da23bc7e9c2dfd0db0303a |
We see further applications needing more investigation, such as exploring the potential in consistency regularization and multi-modal datasets. For example, finding directions corresponding to adding or removing contrast in scans. Further, the approach we use has been shown to be effective in unsupervised saliency dete... | d | 07e5107f9ea0e9ff0feb75adc8884122 |
The LEFT (low-energy effective field theory) describes the physics
below the {{formula:fb446635-5019-4e13-9441-571c5e35b30c}} mass, and is produced when the heavy SM particles ({{formula:71663135-11d8-456a-9f55-d71b18fb7937}} ,
{{formula:29e205e1-af70-4d6b-b7bd-799eff176a1b}} , {{formula:4b29c45b-35f6-4d41-8e60-0aae72... | i | 4b7bf9a35a72fffe7523c7d7d43dc3a3 |
To further justify the effectiveness of the model, we also evaluate our model on the recently released DexYCB dataset and compare the results with {{cite:785f8483af8db7fe438c07feb276f991d089a4ab}}, {{cite:8ec68f50b9c40ebcccca7e7a30238990b91d25b5}}, {{cite:f94d4a5c6ce309960282679ecc046df10a48fff8}} in Table REF . Note t... | r | 700faeab75b53a8a420ec68bd427b20e |
Our understanding of the universe is intimately related to our description of many-body systems. The knowledge of the fundamental particles and forces of nature is as important as our ability to understand how these building blocks are organized to form complex systems. Remarkably, the emergence of simple and regular p... | i | 9a2aad1ce9975825756b86bdc5272a8c |
[leftmargin=*]
RBR:
A rule-based model from the Cubist R package {{cite:6eeb7ca82cffeaf9f553881d3697b858d86b82a7}}, which is a variant of the Model Tree {{cite:28b131dd4d561a663b7b9374247bfa99361d79dd}};
RF
A Random Forest method, which is an ensemble of decision trees {{cite:0a9ea0e2b9119b2dd5f628c70ef4acc18b6812ff}}.... | m | e2250116be6b490d9074112f9108429d |
We close our result discussion with a note of caution. While the density of active matter varies, the overall fluid is incompressible: in other words, the total density of active matter and underlying solvent is constant. Incompressibility is important especially for high activity and intermediate {{formula:20e7b69e-66... | d | 2b13f4ced19a813d0fbe094aecec7d0e |
The expression of the numerical method is given again by (REF )-(REF ) with the difference that the second-order reconstructions are used now to compute
the numerical fluxes. The TVDRK2 method {{cite:a52a7efc2a3f0668cec8217f689ded3bc75b76de}} is used in order to discretize the equations in time.
| m | 923a1debcb8fdda542415a34bdcdbe52 |
Notice that the above theorem shows that an {{formula:116a116b-13e6-4397-b659-b78485841446}} -approximation algorithm for MCNwRS immediately gives an {{formula:73ecdaf1-c5c1-4af9-82cb-508ac120246b}} -approximation algorithm for the Minimum Crossing Number problem. In fact, even much weaker guarantees for MCNwRS suffice... | r | c09e681ca3c060d1c9114ca126ce8935 |
The origin and repercussions of the observed anomaly deserve careful consideration. Concerning the origin of the anomaly, the least interesting, and a highly unlikely possibility is instrumental systematics as source. This is considering the twin facts that the results are consistent across data releases and different ... | d | 2db1ae835d8b5b0730c979276cc9a53f |
It is especially intriguing that the model of the QCD axion we discuss is consistent with the astrophysical hints suggested both by anomalous TeV-transparency of the Universe {{cite:2da4332d86ccb94552f3a1e9ab1b91fc6e3118f3}}, {{cite:5402c1e0787212de94b1fbdc32000f8556be167a}} and by excessive cooling of horizontal branc... | d | ed1c8f7900ba137e85d4faba035a2c58 |
With the small stellar radius, Proxima d has a transit probability just
above 2%. Its equilibrium temperature may reach 360K, assuming a Bond albedo
of 0.3 {{cite:df3b13337c37606910331ac39c5318a46d26579e}}. From the planetary properties and stellar
parameters, we can estimate a planetary radius of {{formula:0a608611-fe... | d | c6844a6478456242ffd0db4c0bde5d4f |
The HF calculations for nuclei starting from realistic nuclear forces have been successful {{cite:2444588a35be92bf57780d4a8f0a9a975056aa78}}. The {{formula:24204159-20b3-4afa-b4d8-613dbd9d4be9}} -body intrinsic nuclear Hamiltonian {{formula:b2f0748f-fb2c-457a-9f80-7582cb03b457}} is
{{formula:038134ea-4458-4907-aa2e-75... | m | 75aeb00ab7b6ee8a57c2e53ef921159a |
Due to the fact that {{formula:d08ac7b8-714e-4a7b-a00a-e3fec828ce96}} is infinite dimensional, {{formula:21f00eb2-8cbf-4396-bbd8-f5728a75e63f}} cannot be obtained directly by solving (REF ). However, based on the representer theorem {{cite:9f51bcad955ec5ab2c62c4e3ade90b06af8edc57}}, (REF ) admits a solution in form o... | m | 484c24ab8d8ed98c3225a4ae0f0ce7f1 |
We proceed to analyse the trajectory estimation performance of different implementations. The LP trajectory metric error versus time for all the implementations that estimate trajectories is shown in Fig. REF , and the numerical values of the average LP trajectory metric error are presented in Table REF . On the whole,... | r | ca2316bfb8daa412e39bb6d9ade75ffb |
The mapping from the general non-convex optimization landscape of deep neural network training to a convex layer-wise objective has its parallels in continuous optimization strategies {{cite:ef4023a9f0e6c18c0dde29fca11183d1dd67cda1}}, {{cite:bcbfe40ebb2522c708ecb4a1a8d59592f4867b86}}. Convexification and layerwise opti... | d | 0936b360a75e82e571bbd5eaa4fce855 |
Another challenge in style transfer is when the style and the content images have different types or different numbers of objects (Fig. REF ). One strategy would be to merge objects with similar classes (e.g., grass and tree) to minimize the content mismatch {{cite:21702dd039853dc943ae2c5a06892935b4ec8ec4}}. However, t... | i | 72db04c1aec18443143989d3e8942cd6 |
For {{formula:abffddf9-d3e9-4bdd-af4c-81fe0aa3308d}} points of the same {{formula:4b4c1dd8-cae6-4bf5-963f-2c4254219e98}} but
different {{formula:95ecf68b-16fb-4142-9e3c-df1ddbdee0e6}} 's correspond in general to different {{formula:882d2781-73b7-4af0-8c09-21f383c854de}} 's. Therefore one has
to interpolate {{formula:... | m | fb66a50ef7c1a936963ea49eb7ee3575 |
Recent methods that rely on deep Convolutional Neural Networks (CNNs) have shown a higher level of robustness against recompression {{cite:fb08aaac4204a6d03b425defa7c8aa893c66cc51}}, {{cite:08e2a61009ef8c4ed7626e74f9b1791800a19878}}.
However, most of them remain intrinsically weak because they can only detect forgeries... | i | e40869dc32df3441d6d61eece8752542 |
Finally, in Fig. REF , we compare the calculated
isothermal elastic constants as a function of temperature, with experimental
results. In Ref. {{cite:f49a79f48271afdc322b35d49c0fb3feb6f2ee35}}, experimental results
for isothermal elastic constants {{formula:5e38cd18-c447-4589-98b8-242492cb308e}} are given
in the tempe... | r | ac5c0fb78dd6ece87475426acff05732 |
We show the formulation for our proposed method in Equation REF , where {{formula:93aa23e9-051c-4dd9-924a-5ddd59c81482}} is the training iteration and {{formula:061839c9-4910-41b7-a725-4d5f2b81bde0}} is the weight term in calculating the task loss EMA {{formula:a7e5ddeb-b065-41fa-ae8c-a37e42fd3cd2}} – the reciprocal... | m | 53090fbd960422cc47646cd9e4830376 |
However, the most energetic phenomena in the jet, leading to the production of {{formula:e23b0f76-64ee-4edb-84dc-286cec68effb}} -rays up to the TeV regime, are known to occur at smaller distances from the BH, on sub-parsec and parsec scales {{cite:d6127237620e0331e065b845e19a96644533f743}}. Therefore, it is the jet com... | d | d0968f1d1b725e6d15a6d1a9ce0fdee5 |
where (REF ) follows from {{cite:64e516502db0ad0524c8952cf1cc0eefb3c571f9}}, and () is {{cite:64e516502db0ad0524c8952cf1cc0eefb3c571f9}}.
| r | 1e26f0a94249e7c37d71339cac9bbae6 |
This effect may be related to both over-squashing {{cite:1d9c473cefa0863924212d6f309e32090bdad099}}, {{cite:a40f131ec44e97ff29caa5131e8eca484f09eb41}} of node embeddings and to the fact that our model uses a homogeneous GNN model in which functions {{formula:036ff5a8-2f6e-4207-aa9e-5a1807fda22d}} and {{formula:193667b... | d | 9c231a694b8532826c91ddb678d3232d |
There have been and will continue to be predictive successes for AI in science:
in biology, AI algorithms are used to predict biomolecular structures and to guide the bioengineering process {{cite:1ab3c0d047dce88c844c8e92d35f14b523d21801}}, {{cite:907c60d87953add7afe6dc2cabff747991d32470}}, {{cite:ed52b74effaaca596fbfa... | i | bde03c83b375959fa1a0e9a0383ae9a5 |
Our method is built upon the backbone of
the improved Multi-scale Vision Transformers (MViTv2) {{cite:8eb2f3027ab3ca7f0ffb0f355e20e56ff2ffbc74}}, {{cite:5391975b9dd3d40e84d616a11440e797e7f7d263}}.
Note that
our approach works with any action recognition backbones.
Given videos from multiple datasets during training, th... | m | b3f03d819573e851c201254b85dc87d4 |
Additionally, ref. {{cite:649e83a6eb48bb07090be381d5d74d04d276bd88}} provides for each UTM its complete set of permutations in all five momenta. In practice this means that we do not need to perform any crossing of momenta in the transcendental functions appearing in the basis {{formula:94e8e174-8b04-4c6d-b44d-4a6f6bbb... | r | ed5520b34a8cf97130f276076a5cacd4 |
In addition, we developed a numerical model to study mechanics of elastic strip networks. The numerical implementation combines several techniques from the literature {{cite:7e82dac6b086e8e3829157ce7e5df4032ca2c83b}}, {{cite:21431641c5737b6e2e2a9bb60e2590381588534f}} to formulate an elastic network as a TPBVP. Our form... | d | 394d7b90835f44f0325a6f91d8b8d85f |
The problem of the numerical computation of residues lies in the properties of the spectral
functions {{formula:d48d12b8-8023-4b0f-8895-424a48641a8a}} , {{formula:432e8fdb-932a-4d32-a826-c065d3420a33}} and {{formula:35ebfb82-7dc1-4bc3-a4b7-f4cf2e426d9b}} . When performing the analytical continuation of these functions... | d | 7e080c721ada3d80cdf4a443b68dce4d |
While the Nyström method has been applied very successful over the past decade or
so, in recent years, it also has been improved upon using better approximations
for symmetric matrices.
The results of {{cite:3454df092f614db71cfd8564a6fc0151c85d7f8b}} indicated that the Nyström method has advantages
over the random feat... | m | 99656cc502d0eee9641e2dfbd5c10e6a |
ESO 092 05: Using BVI photometry {{cite:25713029e18d5197977e06e5b84866750c7e5aa0}} estimated
an age of 6 Gyr and a distance of 11 kpc for this object. Our distance is
larger, 12.7 kpc, but the age is the same.
The CG20 analysis yielded a distance of 12.4 and an age of 6 Gyr, a good
agreement with both Ortolani et al. a... | d | 283e5f22c092584d773eb4496813fb0f |
Riemannian optimization algorithms are in general local optimization methods, which start at some point of the considered manifold, and progressively “move”, using the gradient (and possibly the Hessian) of the cost function to decide the movement direction. They oftentimes derive from a classical optimization algorith... | m | e27238313934b53b92ab9a4b6e71dc02 |
In proton-proton ({{formula:c527cede-ba36-456f-a0ad-c82138b6d0b2}} ) collisions a significant fraction of the total cross section is attributed to diffractive processes.
Diffractive events are characterised by at least one of the two incoming protons emerging from the interaction intact or excited into a low-mass state... | i | 8c9d3fd24cc4257af0ba9332845e3611 |
We compare energy scales associated with different sites using the potential landscape shown in Fig REF b. On graphene-terminated regions, the combined potential modulations from the graphene itself and from the substrate that permeate through graphene are expected to be weak. Density functional theory calculations sug... | d | 8224dae3a814ddff56c8f02557595ca6 |
We focus now on the existence of a second critical point for {{formula:2b87a7e5-6118-4a80-9088-12b93772cc82}} . Denote {{formula:3a108b0c-0ac9-4c5b-86bd-7e3ad76ffcad}} . Motivated by {{cite:f87babaa9d9a7c4f5e7e4622a9950a2ba3c51e0e}}, we define the augmented functional {{formula:9b0c27e1-243e-4be8-9aba-c69ed0d16352}}
{{... | r | 22d838eb09c2e2aae9e2ea7965dc7a1a |
Comparison on VehicleID
In fact, the VehicleID {{cite:631a96ad3fec3d18a2d9d4e8a9b6f17c46d73449}} dataset has a larger data scale than the VeRi776 {{cite:298468bda01a05b780d77d6e2bc01ba1aa838257}} dataset.
However, the proposed HSGNet method still can obtain the 1st place and outperforms those state-of-the-art methods u... | m | 617121efd298f56f5d579619f9ff76c4 |
for {{formula:c1ebd633-8088-45e3-bbf1-fae4bcc991be}} . Classical results {{cite:9439a55fb53a07038689aa9d2eb76dd3a488fd0b}} state that for {{formula:e1e725e9-f06e-42f0-9380-ddf7ff84c251}} large enough, the solution to the optimization problem (REF ) coincides with the solution to the original constrained convex program... | m | 142e0b866e178b89d9be6c0eb65dd926 |
Here, {{formula:651efe02-3f5c-4e7b-a6ed-60a2c2d3f12f}} again describes the measured number of events in each energy bin {{formula:230b3c9c-85dd-4511-ba72-ee904bac15e4}} and {{formula:3b11892e-3d46-4034-a2ca-67353cfd0c64}} bin {{formula:6da4b934-d2a5-4cbc-ad3d-719989955afb}} , and {{formula:8085249f-c178-4cbd-af6a-08... | m | 58a7e40876f899978f374d0b857a8cb7 |
In linear approximation the effect of a magnetic structure on the transversal phase space vector
of a particle can be described by a {{formula:c2996057-2bc6-4748-ab95-653454d435ce}} matrix {{formula:ba6f2c10-17e4-45b6-80a5-0517594958d8}} , called the
transport matrix {{cite:5194d91361ffa7a5126de8bba1a69378c8d3ae64}}.
... | m | 2a52f8d2a0776e5d43890917ef4db48c |
Our investigations were partly motivated by the celestial appearance of the algebra {{formula:85d74496-3ce3-4e25-beac-0ac749cfeaef}} following refs. {{cite:055ad6af8e92781072748a6de1f3361f94385b19}}, {{cite:fac6a4e3be5b59a4da805f720f1e6d8a8b73990a}}. We discussed how this algebra arises straightforwardly from the soft... | d | 28631d1cd7a30adea3f18c4dcb9a4ae0 |
The first and second attacks we used are the model poisoning attacks from {{cite:80b2e532ca8500f72aec39f4ee4ef706080723b7}}.
The model poisoning attacks aim to increase the error rate of the converged model even facing Byzantine-robust protocols.
In these attacks, the malicious clients search for poisoning updates by s... | m | e8048f31b9d56247b24bdba9ad077e6f |
Rapid progress has been made in both the Transformer-based architectures and the contrastive learning architectures. However, these two types of architectures are mostly developed independently, and almost all contrastive learning backbones are based on the CNN. A critical question arises as to whether the ViT can prov... | i | c37009d1405f0de08b3b6c856c692a13 |
Let {{formula:12b27120-5a05-454d-8748-8bc101dddd4d}} and {{formula:c0969a3c-6a7a-4eb1-8b6f-1a9f6897156d}} denote the source and the target domains, respectively. We denote the existing annotated source domain dataset as {{formula:40eb43af-d486-4bde-ada1-560d63049e56}} , and use {{formula:0a8cca9d-947b-4401-a8d8-530c3... | m | 0630d01d824b71ef65ab501c82318b50 |
Facial renanimation methods use driving parameters from a source video to reanimate a source image or video. {{cite:e5f5cf5e463350b1e71ece39e0606bc941a46f5a}}, performs the reanmatiion using the parameters of a 3DMM extracted from the source video. In {{cite:c2176ca0366f3fed30a5e872e06ccd00a0be7bfe}}, Neural Rendering ... | m | 82b0591c9e3bad33b0825b0b3f4e06d3 |
Document intelligence is a broad research area that includes techniques for information extraction and understanding. Unlike plain-text documents in natural language processing (NLP) {{cite:fb0d07429e5ec2b1b95f5dcc891993dc8f50d766}}, {{cite:ae7e7bfc38d550b77c8c54a37fc8cbde5c4e1c18}}, a physical document can be composed... | i | e1b00a60b6fa9b842c4679dd26017003 |
Beyond the lattice QCD and physics, it might be applicable to general machine learning.
Taco Cohen and Max Welling et al. invented gauge equivalent neural networks to for data with descrete gauge symmetry {{cite:a27a5f28f93c897be98d9cfe6fb5d9b35d0311d1}}.
Our framework guarantees gauge covariance for continuous group, ... | d | f39a2407e386ac132c61951200a3c526 |
Inference speed. Inference speed is measured for DPP and baselines on MobileNetV2 with a single-threaded core Intel(R) Xeon(R) CPU E5-2470 (2.4GHz) (Deformable DETR {{cite:8ef7e7ef681a9780caaa707a9521817950bfcbfa}} does not support CPU implementation). Results are obtained by averaging inference time of all images in t... | r | 0d1b1141211f59655fbf1612de8de7e0 |
There is growing evidence that the transition from the L to the T spectral class happens over a small effective temperature range {{cite:b0da2af4f31f86a1535a9670d135fbc969892fa6}}. It is difficult for any model of a globally uniform, homogenous cloud to either sink out of sight or precipitate rapidly enough to account ... | d | e0f9e6ef69fc27ec829b641d524610fd |
We remark that there are a number of approaches to model
high-order moments of the wave field that are based on perturbative
approaches. Indeed, the derivation of such approximations is based
on the premise that the waves is only perturbed or affected by the scattering to
lower order {{cite:a8b0d7d18319c0b0f2ee9c3c559a... | i | ef4a6d8fcb59e8794d04e46d3211cccc |
We also recall the following standard FTRL results (for proofs see, e.g., {{cite:23f6e5b4d410dd8b52e90eb900d1bcb5385ed05c}}).
| r | 793cfeeca44c6925bcfb530c3fdc9622 |
One drawback of the unstructured pruning methods is that they result in having sparse weight matrices, thus leading to inefficiency in speedup and compression on CPUs and GPUs, and also requiring having dedicated hardware {{cite:df82332160f0300874f52e83cdaf3f9b8c051931}}. Therefore, the pruned model did not obtain high... | r | 1286ad7cdfa51c4c84f23117b2dd044f |
We slightly generalize McLean's spectral sequence in such a way that the component {{formula:3fcdd594-aabd-4d53-82d2-e74a662d4fa9}} , corresponding to the cobordism (REF ), is taken into account. The new terms appearing in the first page of the spectral sequence are summands of the Borel-Moore homology {{formula:d3222... | i | b9ce0ded4341544fe068d01d09f23e9c |
Label-only Attacks.
Label-only attacks {{cite:b42e2e97074bbcd87d2414d024d68c0c26a8d215}}, {{cite:a610faba2a54ad94a6570adc14bf3ab6c18c2e39}} consider a more restricted scenario where the target model only exposes the predicted label instead of intermediate features or gradients, or even output scores.
Thus, label-only a... | m | 3b36ab8ed333e5a1a195cc59673d981c |
In this section, we introduce a better choice of {{formula:37d24246-ae51-4206-882f-002ee272be9c}} and compare it to {{cite:fc27f29ebef93da171ee7047f5bed4c2154e8f2f}}. We also extend the computational framework to some widely used network structures.
| r | 949a578fb92edeb643596af4345d62a1 |
Textbook examples of this subject are usually presented in terms of
continuous variables, typically position and momentum. However, there
are many quantum systems that can be appropriately described in a
finite-dimensional Hilbert space. These include, among other, spins,
multilevel atoms, optical fields with a fixed n... | i | 17714431f158c8265f4c7b559372908e |
The optical-UV and X-ray Swift data of OJ 287 taken in the course of the MOMO project
{{cite:e0eb8a7ab77d5ae4fc55545b1c571a59bc3dee2a}}, {{cite:b21d3f1074649d90a969cc8eabfd66b6fd55c380}}, {{cite:5e5553ebcfc3e2ee09a403babb2ff8981f52c323}}, {{cite:f15444f89ae0a82a3ff11e2c5f1eac8d54600791}}, {{cite:80d4ee4fbad3e28a45c8ac6... | d | 16c4b20f9491d992a000d174ae744530 |
Our luminosity functions reach similar absolute magnitude limits to
the luminosity functions constructed by {{cite:1a81cbbbc087976edb7fdc7c03e7df237c744e66}} in the same
redshift ranges, despite their Swift UVOT data having a much
longer UVW1 exposure than our XMM-OM data. {{cite:1a81cbbbc087976edb7fdc7c03e7df237c744e6... | d | 40f583f56523a978248b5660c6c9536a |
In matrix models, there are phase transitions in which distributions of dynamical variables change topologically,
like in Gross-Witten-Wadia transition {{cite:4e8bf59d49123d83273f6ea2d6a11af7e15657d5}}, {{cite:cf5e32f0b61db4d919d8c0c4cde08533a47918c6}}
and in the transitions among the large-{{formula:67b6e5dc-435e-4a1d... | d | 1744c2a05b043ea38b962ecf10ac4b5d |
Nonetheless, we compare our proposed approach to nine other baseline systems. The first four baselines are representative of the state-of-the-art in image retrieval in the computer vision community. These systems were developed for the Oxford 5k {{cite:43cd34938c8872c86b7a7725549564edbefdfa61}} and Paris 6k {{cite:4b70... | r | 43f2ecac439de265e2d9b4a69221c821 |
In this paper, we propose to look at the role of stochastic resetting
in the so-called encounter-based approach to diffusion-mediated
surface phenomena {{cite:e2ac746266c8c0ff0209ce06dd9857144e285572}}. This approach is based on the
concept of the boundary local time {{formula:4e281eec-f404-4cd0-818d-788d663ab636}} , w... | i | 3e8963d49808bcd3643bd36e6aa474b3 |
The discovery of the accelerated expansion of the universe made about two decades ago {{cite:ddb1bb004c567319839b1cda3e1defa84ddff74d}}, {{cite:994dc25cc386879af6e3ba1a5214f50a84963797}} established {{formula:1c0aeea0-161d-4fcd-87a7-a91c382a329f}} as the standard model in cosmology. This paradigm relies on three pilla... | i | 6d2778db0cad64bcc3e4c60dc7734734 |
The success of recent papers {{cite:8f5551ade48ccb773adc561f7db341cac95e72e6}}, {{cite:63f4f98fe3cf019bb26513571ee4728c3e40cfc5}} in supervised RE is fueled by advances in deep learning, but also, crucially, by the availability of a large training set such as TACRED {{cite:f38ebf7feb0b7232aed62506c04a7816ef588bd4}}, co... | i | 66d5405aa1359376f3c96f0fe29723ae |
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