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At {{formula:7be56b60-7b48-497d-bba3-36081d2648cf}} the SM Higgs self coupling {{formula:acbd4601-acbc-4e92-af3c-0b7be24e0ce1}} and the top Yukawa coupling {{formula:57b44c4a-c6ab-4025-942c-d9927d6f99c1}} are fixed
by the SM Higgs and top quark pol masses {{cite:bde580fe074c5405af2b2db6eed9a443b28c17b7}}.
For the ga... | m | e63da4d6af89382b0cdb165df2e3ca44 |
The first approach to robustification of detection systems was devised by Dalvi et al. {{cite:8d19984894a39827a0c277e19da8bd2c02c2f817}}. The authors formulated robust classification as a
game between the classifier and the attacker and produced an optimal
classifier strategy.
Other approaches defined robust classifica... | m | 0c04dc1f96140e481bb2f3d60c4274df |
The Perceptual Evaluation of Speech Quality (PESQ) tool, as defined
by ITU-T recommendation G.862.2 {{cite:74967600c13ba8e55b2b9665fe30d5710b00bb5c}}, {{cite:a7556b38182d7e455406308b24735d5a56262172}}, is used to
compare the encoders at various bit-rates for both narrowband and
wideband speech. While not a subjective m... | r | 461aec6551bd6a240323c045b4cacb86 |
By using the Langmuir expression for the electron probe current {{cite:43a58b524fc0d932a27bab7c637039998fa154a1}}, Druyvesteyn{{cite:f74b51b1a1daaa302bb2dd9a45a46bfd6433fa44}} demonstrated that the current of a probe (I(V)) allows determining the EEDF. Such relation involves the second derivative {{formula:78a08ab4-a07... | m | fe4338dc0dde946a6b117a5c43fede79 |
Comparison with Recent Developments in SSL Recent years have seen a flurry of research on SSL techniques that are related to or concurrent with our work. The prior work of Smooth Neighbors on Teacher Graphs {{cite:458fde68f72259a78648e95bb94824978b6c817a}}, Virtual Adversarial Dropout {{cite:20c172c1ea5daddc2e35a159a... | d | ef5d599f78fda081f1a5a695c7daef2b |
In Table REF and REF , we show the results on KITTI-3D benchmark. We report our results with point-cloud supervision, since KITTI allows for only a single submission. (Comparison of self-supervised depth is provided in supplemental material.) DD3Dv2 achieves the state-of-the-art in most metrics across all three catego... | d | 61b270cbf302ef9b3511216954d9af93 |
Our fast weight variants can be extended in various ways to build
highly adaptive language models {{cite:d6f136936dd8caa61f49bf24085a83b2aed85ba5}}, {{cite:760b435dfd886724ccd813da7afdb087bbdbbdf6}}.
In particular, the weight generator networks could be augmented by additional inputs
for error signals {{cite:fbc7914f26... | d | ee0e04d6e19f8bed31030fa8cb7882a6 |
Vortices are characteristic quantized topological
excitations of a superfluid. In the case of a Bose
superfluid a vortex represents a line singularity
in the phase of the condensate wave function, the
phase having an increment of {{formula:70fa5cc9-dd61-4ed3-88ea-afa7bc8bbae5}} as one turns around
this line. Vortices ... | i | 99220c573f9b4e8e10f10d73e571c0de |
Finally, inserting (REF ) into the expression for the vacuum energy density (REF ),
and taking into account that the Bogoliubov coefficients satisfy the equation {{formula:af5e256c-f201-4793-b882-6fd120ad93b2}} ,
one finds the following diagonalized form of the energy density {{cite:b5499ccb9fbb583c7ea9e4e696a90a9a67ad... | m | 1ec9c2f0a1be8dcfff3a4f53a8afb280 |
One limitation of graphons is that they describe limits of dense graphs {{cite:3c4a9b35348bbb3e8ea6aa751046b5b0ccb4b368}}.
Many empirical networks, however, are sparse.
Exchangeable random measures have been proposed as a way to construct sparse graph-variants {{cite:2cd3e9191cf68b2f6b63b287656cf8053a8b43ec}}.
It would... | d | 0758b72f0af9202a89e1e043774f39cb |
In the case of Watercolor2k, we set the learning rate to {{formula:8bcafb3f-2ee5-4e16-b446-aa386248e6fd}} for self-training methods, since most of the images contain single instance and thus the network is easily overfitted {{cite:33b14c329a24612c536bbc9e47712b901fd58a62}}. Furthermore, images in Watercolor2k have no ... | r | 6193ee686ea1ffc702244649df22ad47 |
Recently, {{cite:8c015c0e59d79a19fdd9c6e8a066c01c983b425a}}, {{cite:dfcc3ede131ef9820269870916bf80b921fe69dc}}, {{cite:74e8856a529cffbc960dbfc873988acca4a58f59}} proposed optimization programs for learning the class of {{formula:b8d63c5e-909f-42d0-bbcf-13ac764d3ea2}} -component graphs,
as such class is an appealing mod... | i | c17e8133260f3a2cee201bf7d6903bd5 |
The experiments of Section REF use only the binary (yes/no) question of the GQA dataset {{cite:71515b8098bc7f45e53a0c21b748a1cf6d32b69f}}.
We repeated them with the full dataset.
The setup, model, and hyperparameters are unchanged.
The models' accuracy remains close to that of the baseline (Table REF ) even when the i... | r | 3bb702fa239d44a23c813783aef1741c |
Data Augmentation:
The contrastive learning methods are heavily influenced by the stochastic data augmentations used {{cite:fe89812accb607dc1998dcedf2b6c046fb5c2842}}, and it is important to get the right match of augmentations. We use a different family of augmentations as it produces strong variations between the two... | m | 80eb683b2945d95722677e20e0474aa5 |
To quantitatively assert an ML model as fair, researchers introduce notions for group fairness. These include, Equalised Odds (EO) {{cite:0fd3b6f155caac9c767d4fbd8239311ecfd3bd6f}}, Equality of opportunity (EOpp) {{cite:4f7ad84e9b92257320ab48a421e1374e1b5d13d4}}, and Accuracy Parity (AP) {{cite:0740468e21f24110a639fef4... | i | 85754aceb407841288b4987b491acf65 |
In this work, inspired by recent results on last-iterate convergence in normal-form games {{cite:5cf221b15b50452877056ef69aa07966083887c8}}, we greatly extend the theoretical understanding of last-iterate convergence of regret-minimization algorithms in two-player zero-sum extensive-form games with perfect recall, and ... | i | afbcdb251846b866910a8ee18eff44fe |
The first step of MERLIN is to train task-specific classification models from training data {{formula:0ced386d-7bac-45b4-8a53-90848cfcb70d}} using the abovementioned architectures. The weights of these models are used to train the VAE. 10 models are learned for each task by random sampling of subsets (with replacement... | r | 8240f4565f6b0031f0e82062d4453963 |
The theoretical backbone of this work is the
unbiased estimation of the Gaussian kernel by {{cite:645c412c193942f20b78d0af850271a21326db67}}.
Based on Bochner's theorem {{cite:25b7208e60d891076cbbc7bca1b9370ba2b4abe1}},
{{cite:645c412c193942f20b78d0af850271a21326db67}} proposed random Fourier features to approximate a ... | m | 697e143e36a236e3826911b73f130aad |
In scientific collaboration networks, the validity of Granovetter's second hypothesis has never been tested. Nevertheless, it is widely believed (see {{cite:264578d7991ded5137a7a182566101583c9cce88}} and references therein) that information and expertise at the disposal of tightly connected research groups are often re... | r | 7f806506e59a17ced6dd481fd3a90b5c |
The notion of safety in RL has been captured in various forms such as risk-sensitivity {{cite:04b4adba2434f3df5c6c92eb1cb1dcb6ea47c2d3}}, {{cite:0a5a21dc23235e0a9e278f367519b12abd9b3dd9}}, {{cite:523ea020bd13c39e1efefd3d0b7f7aea8d1bf295}}, Robust MDP {{cite:514965e6cfcf452c1678f0c27f45d1740aa22aff}}, {{cite:7765e07350d... | d | a1e2f40096b47cf5051768bb2900985e |
For any 2-dimensional compact holomorphic symplectic manifold {{formula:e643281d-f783-415d-8ab2-c3236d4f4a5f}} with a real-analytic Kähler form {{formula:300df4c1-3750-4d8b-bac5-309c69e59ada}} , Theorem REF shows that there is a hyperkäler structure {{formula:040a8a90-c6f0-426f-8f30-bc2d6230ce58}} on a neighbourhood... | r | 8d7149aaf6459b7d97fa5c92d1d0bcf4 |
To improve the efficiency, recent works {{cite:c61a854ed9af0f40e8078a52691dbc6f8445d4da}}, {{cite:595283ec8bd9511a0a56c1eb979476e4164b1d1b}}, {{cite:c45129798aa5de7d256b93be8765dde3e09b351e}}, {{cite:f35557871bd5c7f552efb46290423baa88227508}}, {{cite:aa03be965aee3fca875933f2287411a32de40a0a}}, {{cite:0703902d52689c4b68... | i | 527b935f96f2e041037e57a9ec2fd81a |
Although adapters have been applied to SSL speech model, these PET approaches only directly apply NLP adapters to SSL speech models, without exploring the design of efficient tuning approaches based on the attributes of audio signals. A convolutional neural network (CNN) is a typical component in Audio/speech SSL model... | i | 0a62782050c9b500faa04255dbab12fb |
where {{formula:bcc8f643-6c86-4d85-9b80-7ad76236353b}} is the fine structure constant;
{{formula:0fcd2517-3cd6-4783-b8c4-9d99bf3bb704}} {{formula:7f84c62e-6d14-42a0-ba47-4e0d56505ab8}} {{formula:fa177306-8e8b-4515-b068-ff9141d2f4e1}}
is the photon momentum in the rest frame of the {{formula:773993ec-537f-46b0-99a5-... | r | 5a7dade397f6294b7848f2ec697ad99b |
Associative clustering was compared with two alternative methods:
standard K-means on each of the two data sets, and a combination of
K-means and information bottleneck (K-IB). K-means {{cite:7675e5dbcdb6871cc8f5789c661992ccee23bc04}} is a classical clustering algorithm that provides
homogeneous, connected clusters bas... | m | f6b982524a24bb4892c7d7e2e7ecef41 |
Figure REF presents the cases where size controlling is still important for models trained with these methods. The optimal size we observed for ELR is 128 on CIFAR-10, and 28 on CIFAR-100. This contradicts the prevailing intuition that one should always use larger models for more complex tasks. Actually the same amoun... | m | 2dcba669fa9dac808b7b22f93ce3fd00 |
with a single linear unitThe presence of the linear term {{formula:e9c90faa-3cf6-483e-8ebd-9ee18518b385}} is not really standard in practice but is adopted in keeping with prior work {{cite:1c76a6788ce157b618bae7b534b078d65d60cf5b}}, {{cite:8473d860c5f3b2133ca287769bda0a98a5a3fc90}}, {{cite:4fb062f96158a084787c86d1f12... | r | a594f80c9e9c8b9b8a90b0c28407033e |
Preliminaries
Following {{cite:ae4dfa4f270ac5f3934b1aea258355f2df69a6fc}}, {{cite:5d3ae2ff8dcaeae5df4e194fb1fe1f2b50e2bd7b}}, {{cite:35ffa0ed4bc6815295ce3e298410638d4e28dc38}}, {{cite:daacd1d653d1563a8853d06ed507e312773aeb4b}}, we introduce the Fama–French multi-factor models. Equation (REF ) represents the FF3 model, ... | m | eb97b886271b47e9d1059bbe6f9efaba |
In this section, we implement our proposed scheme for performance evaluation using multi-layer perception (MLP) {{cite:9ba169285cfc80b05f0d5b168feb41747e9ac569}} and a real-world federated dataset. Since FL is mostly suited for parameterized learning, such as all types of neural networks, MLP is employed for the learni... | r | f366e10bd240d0d41f12327593aa53d6 |
Recently, a series of kagome metals {{formula:16089b36-972d-4849-a657-838071d7dad3}} V3Sb5({{formula:888e5e94-5cac-4fd6-b377-14febff6e694}} = K, Rb, Cs) {{cite:37131fd4728284b8a331e5a503a2ca4f54995231}} have attracted increasing attentions with the unique coexistence of topological states, charge density wave (CDW), a... | i | 59deacd8298b0fe83880eb4e9b062ed0 |
All anomalies are associated with effective actions characterised by
a specific nonlocal structure, in the form of anomaly poles {{cite:c385b51d5e8c4fdb32cd2a6ef010d1833e221fb2}}{{cite:ffe418218b012b3c7ee3bf17a2f87183358d4ce0}}, {{cite:0c148939515e210306e20170d4e07efd98380ee5}}, {{cite:30536d248107e8088c570277b7a92eb62... | i | 2361aa9640ed1b2eb91f2ddf1c08b88f |
It is very usual that the stellar dynamos produce oscillating fields rather than steady ones. This is also compatible with the solar cycle of Sun and other stars, and the field reversals of Earth. In that sense, there is no reason why the dynamo process in pro-neutron stars, albeit operating only in the initial {{formu... | d | d725cabfd554a38e54318638ff7fdd98 |
This is the Hawking radiation. It arises from the pair production of particles from quantum fluctuations from the horizon of the black hole. One of these particles (one with positive energy and outside the event horizon) leaves as radiation from the black hole to infinity and the other stays trapped within the black ho... | i | c444965a47bdfd4e88eaaf8b55740b75 |
Semi-supervised learning has emerged as an attractive solution to mitigate the reliance on large labeled data, which is often laborious to obtain, and intelligently leverage a large amount of unlabeled data, to the point of being
deployed in many computer vision applications, especially image classification {{cite:9343... | i | cbee2f8399b535227d0bcd13ff6e1a6f |
The search for dark matter (DM) is one of the main goals for both experimental and theoretical physics. Among different search strategies, direct detection experiments are some of the most ambitious. In recent years various collaborations have made significant progress in constraining the parameter space for DM interac... | i | cedcb4b9b92625cdc33be32f3d5400f8 |
Evaluation of AI model explainability:
While we have shown three methods for explainable AI at graph, subgraph, and tensor-state granularity levels, we have not done quality evaluations of AI model explainability via model parameter and data randomization tests {{cite:c9dbe00ac0f8057f08c88af730db3a9ba96c5ba8}}. It rema... | d | 152d26defa045aa2cc52dd15e3c89fb3 |
Result 2 rules out the possibility of {{formula:d707e2ae-a026-4fdb-9e13-564647674630}} -CGE for large {{formula:65d3696c-6702-4754-9230-70e519ab017b}} . The situation is different for small {{formula:7b4f24a4-7e76-4ea2-a59d-baa7f05ca154}} . For special case of {{formula:1a208959-9964-4b52-8754-050956e50d44}} , Definiti... | r | 9615d5164bbd84efb02ecd689732224b |
In summary, it may not be a bad idea to check whether a proposed experiment,
no matter how spectacular, could be just another illustration of Feynman's
only mystery {{cite:5af67cc0a6cc74b16590dcb09aaa343b233303ad}}.
If it is
quantum mechanics could only be accused of being quantum mechanics as we know it.
If it is not,... | d | 1e5fe297c7640b0a1f2d29cd4dbd3650 |
To test the performance of our approach on the Polish firms' dataset, we use a standard practice in the field of DL.
At first, we split the dataset into training and testing.
Three-quarters of the dataset is for training the model and the rest for testing its performance.
In the case of a model that contains no hyperpa... | r | d893d30fb803f36110538cbffac21c5c |
Quasi-Newton methods approximate the Jacobian matrix—some also approximate the Hessian—of a given function and use them to minimize the given function. To use them with TFC, the loss function is first converted to a scalar by taking its norm: in this dissertation, that norm is either the {{formula:b8e9de4c-ce57-4e4b-8c... | m | f2a6f5122eb423a16943adce7ca4e142 |
This is particularly true for Machine Learning applications, for which a parametric dependency occurs naturally, for example, when solving a min-min or minimax optimization problem, in Structured Support Vector Machines {{cite:2fc59bda53c7489707f6373305c28fab2b23b852}}, {{cite:b1e315a05a4e8ee4def6830818c4b1b689f50fd2}}... | i | 30f25a12a0a311c34087c31e88a2a075 |
After conducting the experiments, we come to the conclusion that single-step attacks are weaker than iterative attacks, but more transferable {{cite:88b6842f7b506ae35f574e2b5576e08cb7feb17a}}.
By comparing the effects of adversarial training on defending against single-step and iterative attacks,
we observe that advers... | d | adc5f302f453ae8ecbb66b4a4b8e9128 |
The subject of decaying turbulence plays important roles in
laboratory and engineering applications {{cite:e2342df4b813fb58634cfa1942850de3dd550f56}}, {{cite:3c31ccf1870b19666af37e3e995f7c3eccb5ac3b}}, including superfluid {{cite:ad27a50d725d57fcc9201467f75dd0219c18503a}} and supersonic ones
{{cite:f49ad8f3328dec56c0b7... | i | 9f05d4c4c966f3b12389affe7ec0d313 |
We see that the supervised models evaluated demonstrate shortcomings in performance on pitch (NSynthP) and key (GSKey) tasks. This corroborates the findings in {{cite:1f96c7eb71cabc50401ffb5d756b1ea489c5f288}} that models trained on tags do not perform well in this task, and the findings in {{cite:e7fb9ebe4f2334ce872b4... | r | 231cde65323adf071b4ea2e8790fbfe1 |
The six game ordering associated with the fixation of dominating strategies {{cite:4c3d245502ba7d6d1edce8c4fb237b65e2cda687}} (also named unbeatable in the literature {{cite:59f81e9c09e1df157cd978ddbf75a088c5302039}}, {{cite:11fe97c7ce65c3d4f4bd84d7d740e7fdef4672d9}}), such as defectors under the Prisoner's Dilemma {{c... | d | 89dd35a159785546225973407f568e03 |
We believe this is because capsule networks encode better the objects based on their parts and uses the spatial information as well as computing probabilities of an object being present thanks to the nature of the capsule routing {{cite:da38d1fc6c98e0bea34ccd2b235bb3a8c420b8b9}}. On the other hand, the CNN only tries t... | r | 442df081a3839ea0740396209f8c4908 |
Style-transfer from paintings to natural images show that larger-scale structure is transferred from the target image when training on losses of higher layers {{cite:b149b915a32c182fbc34983acb4d63ef779c6f9c}}. In order to maintain label correspondence between refiner input and output, we similarly only use the feature ... | r | 7b5e514544fcb31dc86fb3bb2f25c2dc |
Though this work focused on decoding population activity from single cell recordings, the simplicial convolutional framework has wider applicability.
With only slight modifications, the framework can be adapted to other computational neuroscience tasks like brain-machine interfaces {{cite:fce0018babbdaa04d66b09108b34ca... | d | 80f3b8cd301be1e9c3c56df5a8291b09 |
To overcome these limitations, it is widely accepted that the essential solution is to mine discriminative information from various complementary local regions {{cite:0ba2f3386b849ebf9daf4f3de28644104b4dd96d}}, {{cite:50c5d97274ea959231f51dc69ee0ccba5ec359c0}}. In the early work, people resort help of heavy supervision... | i | d7aa0b73e42e1d184ddb373cce4af540 |
With the appearance of quantum mechanics and relativity theory in early twentieth century new philosophical ideas on physical values, measuring procedures and system state have been established, the ones that are completely different from Newtonian notions {{cite:a1b94b7973ae625469255bd44420a6a247113329}}, {{cite:305f0... | i | ff44d2764211d993144a023dfe17f2bb |
We performed additional experiments with the same setting by combining each proposed method with the TF-IDF baseline method, which is the best baseline method.
We normalized salience scores of each proposed method and the TF-IDF baseline method to [0, 1] within each story We used scikit-learn {{cite:82f9f33f223cf83f94a... | m | bc5f7d9d2dec2a12a2440e75e0b78839 |
In order to fully utilize {{formula:a2d19324-9cea-4454-b36f-3c2178493217}} slots and substantially reduce the computation complexity, Juvekar et al. {{cite:fb4e6f1a9c3fa980d675b389838e5baeac79cf03}} propose GAZELLE, a state-of-the-art hybrid method customized for the HE-GC based secure inference. It has been integrate... | m | b2f0d9b56d57b00f09aca40da8b56cd3 |
If one naively adapts standard RL algorithms {{cite:767edbcc7187def3104a850cf4dc95efa4f185c6}}, {{cite:8a0c043942e8d118bc3a656b269f838ecd7be0f9}}, she/he may directly add bonuses on trigger and transition probabilities, respectively, without separating triggered reward and triggered transition. In this case, {{formula:... | d | b509ae8b1b1f320b5f948764e948305c |
For single-stage regression-based methods, our method with HRNet-W48 surpasses SPM {{cite:3f83b246c73fbbd16bfc88eadaacc4ba93199a8a}} (refined by the well-trained single-person pose estimation model) by 4.4% AP without any refinement and also outperforms DirectPose {{cite:ea74821f2206d4454df8db9196f070ba080d6079}} with ... | m | b9cbe4e746e3b30385dc4af01d83849e |
Our work shows that the spectral algorithm recovers communities from the similarity matrix whenever the MLE does. Abbe et. al. {{cite:aae23540236639b966c8a335a83db59913038557}}, who observed the same phenomenon both in community detection and in the {{formula:b77f043a-f201-4334-b24b-6b5280dd85d3}} -synchronization prob... | d | b6ceabc533bde0f83d46d6226c8783a2 |
Suppose {{formula:47e81c86-f43b-4ce9-9b93-c2f674935941}} . By Cauchy-Schwarz inequality and {{cite:983b8441e0c62a211dfce024942465c7aa2e439d}}, we obtain that
{{formula:afd85940-500e-48db-891a-5c3edf1d687d}}
This shows that the operator {{formula:95f88f42-834d-467f-acb9-775716bd9e39}} is well defined on {{formula:d96f... | r | d97ce888a0bb317cb904f72956b25296 |
We need to emphasize that the duration of {{formula:49543ccd-4d5a-453f-9138-da4564aa0cb7}} is not a strict time, but a statistical value.
The result based on SNR evolutionary models {{cite:af48b42e445bfa7d2b21bbd4695c111ca542ed57}} may be slightly different from our result.
Although our results ({{formula:25e9b308-5f0... | d | bfe815aeb83069f86814173c9bee035b |
Comparison of Algorithms 1, 2 and 3. In Figure REF , we compare the regret of the proposed algorithms in the central, local and shuffled models using {{formula:76a92569-c5fd-424c-9ab6-e704e2827f7a}} . We observe that all algorithms converge to the regret of non-private stochastic linear bandit algorithms {{cite:aecebb6... | r | 430de5e5adc43640f594ca1b5fd522bb |
Creating RL algorithms that can similarly adapt and generalize to new downstream tasks has hence become an active area of research in the RL community {{cite:219bf1850c6e4063ed535c05d6dfba7295ddf5e9}}, {{cite:5056f2cc546066e8d8c0d60c741acae356c34a9a}}, {{cite:cb37219765bbd8e75b109730577c1b39e3013a27}}.
One viable solut... | i | 70d30841022bc0f5078186e3a23abf65 |
As we have already mentioned at the beginning of Subsection REF , in the sequel, we apply not only {{formula:600e64ff-c008-4b49-b7c5-b6528457a04c}} -models but also permutation models of {{formula:c0f64372-aeae-4688-8a2a-de18a40d2ca2}} . To transfer a statement {{formula:2bd694e7-f6d5-4e98-952c-5fa0ea95f628}} from a p... | r | 2ab95e4ef3513f13aed89e79e2ab4678 |
While methods that rely on a postprocessing step may be fast and accurate in some cases, it should be expected that inaccuracies in correlation functions and energies will appear for higher energy excitations. This is evident in Ref. chepiga2017excitation at higher energy excitations and will be present in similar post... | i | 42566b33688e0822d6ecec6cf1cc3bdd |
We studied the dependence of the QFI on {{formula:fbe3ec26-54e4-4571-bc1b-2e8f7b55a5e7}} and {{formula:b24a3df2-5cad-44b3-a55a-5b8d53de1904}} for Gaussian aperture {{formula:8b2e47bf-b275-416b-85b5-17f6a2012706}} (which leads to a Gaussian PSF with standard deviation {{formula:228beef7-06a7-4521-8e91-ac22cffe0dcf}} ... | r | 3d5a362b391e3c4d60a0a7890f135b86 |
All the abovementioned works are asymptotic (i.e., assuming a adequately large sample size to estimate the experimental and observational distributions). The proposed results in those works are relationships between the experimental and observational distributions and the probabilities of causation. However, the adequa... | i | 4c62cc06f6726417d8f650864dcc1eb8 |
is the Complete Elliptic Integral of the first kind (CEI-1) {{cite:bf2b94c0bfcc932f7b06ae24b93d18512fdec1db}}, {{cite:3c5e9fbc8ea0f79efa66cf922e8e7d3c5b0d4e62}}.
A comparison of (REF ), (REF ) and (REF ) implies that
{{formula:28369747-e609-484f-b341-f26b4e372099}}
{{table:10d91d63-d8f6-4fd2-9d70-caa9641cb474}} | m | e330fb2fcd9ac759923bc351d1e1214c |
The Einstein-Vlasov system typically models self-gravitating particle ensembles such as galaxies or clusters of galaxies. The particles in the former case are stars and in the latter case they are galaxies. Clearly, the particles carry mass in these two situations. In this work we are instead interested in the case of ... | i | 384ab196c2708fc125715a80b8e952aa |
Some of these gains have come from engineering matrix-elements {{cite:3d38e53e5ad71e1d72e7e09bcaf22176c1f4936b}} and insensitivity to decoherence mechanisms like 1/f noise {{cite:267e9339311f6efb42175830b0a59e7f0bd6e486}}. Other improvements have been made by directly minimizing noise-spectral densities {{cite:b0a7bdcf... | i | 372dcda3fdfb66bb9fe7e4658a898144 |
The reasons we take {{formula:cc6b4569-c9cd-4639-ae83-4f5a67363563}} TeV is as follows. First, the spectrum from our sample show very hard and have no sign of cutoff up to the highest energy of about {{formula:64707eeb-41bd-4ed9-a6bf-ef9f2daf1c5d}} TeV. Second, if the spectrum is dominated by emission of leptonic ori... | d | 4a03a6a4a13e66460f233caad77cbe79 |
According to our experiments on the proposed heterogeneous federated learning benchmark FedChem, the heterogeneity brings significant difficulties for federated molecular learning. This section proposes a method to alleviate the heterogeneity problem, namely Federated Learning by Instance reweighTing (FLIT). FLIT adapt... | m | 81c2154c43e63d291e88c988335c48c3 |
In the present work, the database of the Brain Tumor Segmentation (BraTS) Challenge 2018, composed of multimodal MRI scans of gliomas, was studied {{cite:d8455087b16acccf5b6b8ea9528f487f092f513a}}, {{cite:a1e6a22d0961835d97af854cd5a148a53c3da781}}, {{cite:e9f218c6a357c3efe910ad0407bdfa4dd75734dc}}, {{cite:19c88bab739bb... | m | abd8d7d9487656a648317e54095dbbcf |
Our selection method from the 2019ApJS..244...21S-santosSurfaceRotationPhotometric2021 rotation catalog did not select the anti-solar candidates proposed by {{cite:2ba90c6bcea418a75b1b41fb40fbee080713d3fc}} or {{cite:dcdb3ea4806772c5ccf9486f9c3e28166f734605}} as promising targets for hosting anti-solar DR. However, we ... | d | 79955bffddba6f3069e45862e0d54bd0 |
Obviously, the transition from non-relativistic to relativistic quantum theory is expected to bring in some radically new features.
Landau and Peierls {{cite:d5ae73cb55a76bdab98c3f415cd5533caa9f056f}} pointed out that in relativistic quantum theory the particle position cannot be measured
with an accuracy higher than i... | d | 6ccd25fbf912efda244f6bc83e31a5d3 |
Finally, in sec:dcov, we consider a related class of statistics, called the distance-covariance (dCov). Using the equivalence between distance-based and kernel-based statistics {{cite:ccf977d7d60425ead42379dfdbc0180561bef9b4}}, we introduce a new distance-based statistic, called the cross-dCov statistic. We then identi... | r | d7d55371a37c1ab11f46d6182aea02c3 |
Therefore, in order to seamlessly integrate static user-side contexts into RNN session models, we propose an augmented RNN (ARNN), which is an augmented version of RNN that can improve on any existing RNN session model. The unique feature of ARNN is that it estimates user-contextual preference by modeling high-order in... | i | d5f0fdfe0c26480056fb11af1dbe776f |
As shown in App. , the use of sine activation functions may introduce local minima in the loss function, making it hard for the NN to converge to the true solution of the ODE/PDE. We addressed this problem by introducing two additional hyperparameters {{formula:fbc54665-fa7f-474f-bd25-595a7467646b}} and {{formula:39d3... | d | b9b4a08ae3d8d5705bcae8fd29ec30b6 |
Quantum game theory, began from the seminal paper of Meyer {{cite:086621fd25d6d1cb6c6dfc3501695f84e354ee29}}. It
deals with classical games in the domain of quantum mechanics. For the last
few years much valuable work has been done in this area. Various quantum
protocols have been developed and many classical games hav... | i | 626ee64c29dc4aa44ee6aa43aede1b07 |
Quantum annealing runs were performed on the three generations of D-Wave quantum annealers (Two, 2X, and 2000Q) housed at NASA Ames Research Center and the latest generation (Advantage), accessed through the D-Wave Leap cloud platform. The number of qubits, minimum anneal times, and base operating temperature for all f... | m | 89224a889838a618eadbf39ea3770fb4 |
In this paper, we argue theoretically and empiricallyCode is available at https://github.com/ginevracoal/BayesianRelevance that these two problems are interlinked, and that therefore solutions that ameliorate resilience against adversarial attacks will also lead to more stable and reliable interpretations.
We work with... | i | ddc2dd358a3db2b83eb8af687e5d45d9 |
In his thesis {{cite:bce60959eef0143ef752c91fc3c8809b4805af62}} and classical paper {{cite:d289fd5863e8fced0e8d2aef87569ce3bd56b1aa}}, Dirac refined (the main part of) Theorem REF as follows.
| i | 85926291b14dd5372fbb4b53d91d3b47 |
The scale, diversity and quality of data used for training supervised deep learning methods have a major impact on their performance. Algorithms that are intended to be deployed on real-life conditions are usually trained on multiple datasets in order to improve their generalization abilities and ensure their robustnes... | i | 580f9c9e8b12b0e1aa337bf6d79502ab |
The mass-loss rates in Table REF are within the large range determined for symbiotic stars, ranging from {{formula:14a0b5f4-13e5-41ee-87cd-4bd916b4f592}} to {{formula:da2824e5-b996-4d42-bc6f-6fe289e0f432}} {{cite:7531e07da5e10e7b355a266887b1eeb9db8dbd4a}}. Multiple dust shells are common in D-type symbiotic stars, w... | d | 747b68668b2ad634f815c8d386e058c1 |
BM25 {{cite:98e2f61eabf69df859b3293e9ab462f408b4937d}} is used very often for document retrieval for biomedical question answering, especially in the BioASQ challenge. It is used in its original form or with modifications or additional reranking steps. One reason for the success of BM25 based models in the BioASQ chall... | m | 3a8ba7a4bbd9b1c67ff540e965ee1d0f |
An intriguing future question is to generalize our study of quantum chaos into the 1+1d interacting Abelian anyon models which cannot be embedded into fermion models, and further into {{formula:c6f4d98b-f19c-4237-8c50-237b44085e5a}} d models hosting non-Abelian anyons, in which case our method presented in this paper m... | d | b633908f56c86c7e6ccb672eca72a9aa |
While the quantum field theory is used to study Hawking radiation by incorporating quantum effects on the horizon of the black hole, it is worthwhile to emphasize that our results provide the link between classical gravity and thermodynamics with Rényi entropy and do not relate quantum effects on the horizon. Therefore... | d | 83d40c26db320af405b905134b07ebb2 |
This study proposes and evaluates six distinct modified deep learning-based models in an effort to identify between patients with monkeypox and non-monkeypox symptoms. Our dataset contains limited samples, and we have further evaluated our model's accuracy with 95% confidence intervals inspired by referenced previous l... | d | 2e1da6b35a8541b94e86c4cf545d3c79 |
where the operator {{formula:c16ce514-7f87-4aa9-9d29-ebc3da8ceebb}} describes the variation due to collisions and {{formula:00ec6571-080f-4366-905c-c532434d6e58}} is a given collision kernel ({{cite:7fc535235fe94c63147e53b2329c3d92140cf396}}).
| i | 2e2b6f6ac50a19c4a0e82ee76f02d4dc |
Finally we point out a few additional lines of future inquiry.
Appendix sketches extensions of the FCLS penalty to rectangular and multi-array settings, which may be interesting for a variety of applications such as multi-response regression. While we focus on the penalized estimator, Problem (REF ), the results in Se... | d | 9558be35cd8243ca9ca881ee9c49cd8e |
We have presented a new model for the interior and evolution of super-Earth class planets, likely to be the most common planets in the universe {{cite:85a48366e75858e7d63b714126fef5976d77864c}}.
Here we have another application of convective inhibition that has been in the literature for decades {{cite:4d2e93db5a6bc20a... | d | 257799544bade0df29d90232d76a328f |
The proof is by induction on {{formula:199d0d13-b208-4da1-be83-9e5bdc53d996}} , noting that the case {{formula:810d1ae1-0d25-4ce3-a758-b1942189ddc4}} is elementary, and amounts to considering the following observations.
If {{formula:3329c5c5-2e59-4b81-be9c-935e4e426baa}} for a component {{formula:06e00fb5-454a-4e5e-... | r | 9a1cfda5cdfa16c83ae8128134199a19 |
Jusufi and Övgün have applied this method to a rotating global monopole spacetime in {{cite:693323477789c2e1373c45372a5bfc96d5166032}}. With the defined line element and the correcsponding expressions for the metric, the Christoffel symbols and the Ricci tensor, the Gaussian curvature is derived to be:
{{formula:5b7d6e... | m | 11892407b6e4a72c4e9acbefd6799049 |
Here {{formula:e599ac4f-02db-4b68-bd23-9a87ce0ef9b7}} is the Legendre-Fenchel transform of {{formula:a51bac7a-142c-4e7a-945a-1fd5bf0dc222}} with respect to {{formula:eaba815c-4822-4122-b84d-35c30af04725}} . Due to the differentiability and strict convexity of the Hamiltonian {{formula:d2c11ee3-6754-4e24-88fe-bd6c0d2d... | m | 2623b10a6ddd2b373e24cc2a199dc8f7 |
One idea to improve computational efficiency which has gained attention in
recent years is to utilize low-precision arithmetic—in place of conventional 64 bit
arithmetic—for computationally intensive parts of the code.
This has been accompanied by parallel trends in deep learning
where low precision is deployed routine... | i | fd3b35fc6795a79abefc9052b719271a |
Marr's {{cite:b2cb0403e2f8de21b63a68fc993e4c9d53fc4f27}} nearly four-decades-old dream of a singular vision science — the intertwined study of biological and computer vision — is, at long last, being realized. Fueled by dramatic progress in neuroimaging methods and high-performing computer vision systems, new synergies... | d | 7d39b81d87bf3111fa3afefe828018ca |
Knowledge distillation: The population distribution
related to a regularizer based on Kullback-Leibler divergence
(knowledge distillation) has been shown in Section
REF . Therefore this can be cast in terms of information
geometry where the probability falls of exponentially with in this
geometry. Hence these connect ... | m | 8cc880d8fcd0e5b29322c86764850577 |
Finally, it must be acknowledged that the effort of the community is promoted by challenges, such as the 2020 edition of the BraTS challenge {{cite:2df274952699063714596e9731877d7da59ea601}}, {{cite:0e2109f14ac45d19acaee8c0143db996653119ac}} that included an UQ task, the MICCAI QUBIQ challengehttps://qubiq21.grand-chal... | d | 8e6fa3b2e67675113c694e822a6e9445 |
Structural correspondence learning (SCL) {{cite:7511179b3ddc395d09c3547ffcd6098cbec364ea}} is one of the most representative models to find the common features of both domains. These common features are named as Pivot features, which refer to the words that frequently appear in different domains in text classification.... | m | 08bae496fd08087aa1c048662c27641f |
The proof of this theorem follows exactly the same lines as in {{cite:cb33c9f4bc751643baf1f8a9649ba077fad99dde}}. We just emphasize that the denseness of the range of {{formula:d706691e-f335-4de2-ad0c-0f5814e20029}} is equivalent to its injectivity thanks to the reciprocity relation in Proposition REF .
| m | a76bcf12b64620594fdbaed4d3d576f9 |
One of the most frequent research fields for spatial data analysis is identifying features (clusters) of events in the presence of clutter. For instance, detecting surface minefields from an image from a reconnaissance aircraft can be processed to obtain a list of objects, some of which may be mines and others any othe... | i | 62f5af55a536845b1134be62f2f73990 |
We have chosen to examine in detail the RL method described by {{cite:5e3b64768473760aeb9d9efa17f515dff457aa2c}} for learning to navigate to an image using visual inputs alone, because this has now become a general method on which several more recent and complex algorithms have been based {{cite:567916e19437ac2f23d4855... | d | 06551742d45e5b59d66f531c572e3e9f |
The CCP method is not an algorithm in and of itself. It is an algorithmic change that can be applied to any actor critic algorithm, assuming there are consecutive agents used to solve a task. The experiments described in this paper were implemented using the SAC algorithm {{cite:58f2704323bee96bf4e71ce867086b9e3fd3fa70... | m | 95ab6330bdb7483b17079e42b64546e3 |
Then, we analyzed the effect of using different anatomy-constraint settings in our AccSeg-Net. The results are visualized in Figure REF , and summarized in Table REF . As we can see, adding either MIND loss or CC loss help improve our segmentation performance, while combining both anatomy constraint losses yields the b... | r | 010dcd3ef16f00f3fa2198e76ee5f499 |
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