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Given the typical velocity of DM particles in the solar neighborhood of {{formula:98743072-0b5b-4a2e-9548-bf060795e958}} , one needs to achieve an energy threshold of less than an eV in order to search for DM particles in the sub-MeV range. Among the proposed materials to achieve this goal are superconductors {{cite:c7... | i | eadf9d8d75d8d02e825d6a8888d98c04 |
The detection-based methods {{cite:9567ad26e2caa27b9edf97b562c3606dbabf7edc}}, {{cite:711ba6a248c012a747ac119f670fe00d0799d84d}}, {{cite:e32b8fef2de1348866db66dc1e18812f5ccef3e7}} mainly follow the pipeline of Faster RCNN {{cite:a4c9130a149d0d276690b5047134c9c9c12f3ee9}}. PSDDN {{cite:711ba6a248c012a747ac119f670fe00d07... | m | fbb99eecaf02068f5de7214e7636e5bd |
we obtain, by Theorem 4.30 of
{{cite:5f47e0d15f8312c0942eb2e88c37f6e029a26c0a}}, that
{{formula:62ea430c-1184-409e-97e6-82e1439f787b}}
| r | 08b895ae635d9d224d8904439fed62ae |
. Copula formulation give a clear seperation of marginal distribution and dependence structure. Use of Copula has been found in wide variaty of applied science such like quantitative risk control {{cite:266af87d065c44cac25b6e080fd840fc5fc5013d}} and statistical modelling. Intense research on copula based statistical me... | i | acee9743b8461fca02b723c38587cce4 |
In Part I of this two parts paper, we presented the advantages, the reference architecture and three core applications of wireless federated learning (WFL), the main challenges toward its efficient integration in the sixth generation of wireless networks (6G), and the identified future directions {{cite:c235153d1e937c7... | i | d8311e28da7af6d72568d7eadf435157 |
In this work, we propose distributionally robust offline model-based policy optimization (DROMO), a model-based offline reinforcement learning algorithm that penalizes the Q-value for OOD state-action pairs as well as its own variance. In particular, compared to the previous work we invoke an identity from {{cite:5984c... | d | f74f53ebb62dcb32c2dcb0e24a3f3de8 |
Computing the product of two {{formula:f2c6056c-1106-4a8c-9f8e-dfb009846fc3}} matrices using the straightforward algorithm costs {{formula:587ca54d-b948-44e9-a27c-dd95052e1aa2}} operations. Strassen found a multiplication scheme that allows to multiply two {{formula:a5a14bc9-19a1-47b6-921d-ba9c8d85b1ff}} matrices us... | i | 6ca23875c5b40c99db055a439175548d |
Training and validation dataset: We employ the ACDC cardiac MRI segmentation dataset (bSSFP sequence) {{cite:55a5e2552f84541dce0f1b5535c2b05d7490ea40}} for building the segmentation model and the proposed calibration model. Specifically, we take the ES fold of ACDC and split it into training, validation and (intra-doma... | r | 3cd8b164ad4bb4da170d0d69ddd5dba6 |
Original {{cite:1278855c8625fa366812f913dfabf157b7c43c7b}} is the method where the rewrite is set to be the same as the input query.
AllenNLP Coref {{cite:d3deec9c475be216e62978e1a5cb669a26cb5040}} is a deep learning based NLP tool. We utilize its coreference resolution model to generate the rewrite.
(L/T)-Gen {{cit... | m | 201766abd3bcce0180398ba9685898e5 |
Similar findings can be reported in the 13 TeV analysis. In this analysis the production of dielectrons was studied as function of {{formula:5cadb072-ced5-419e-b234-ba5c2f357715}} and {{formula:1b651796-b1fe-4908-937a-9b1eefb2c065}} for a minimum bias and a high-multiplicity data sample.
In Fig. REF , the ratio of th... | r | c5eb8dfdf98b78fab2e17036b5a7a66b |
One natural class of situations where the maximin and the minimax values coincide is when there exists a “global saddle point” {{formula:4e007831-0f65-4a3c-a572-99a18abb40c6}} such that {{formula:8f4bf206-7976-4dd0-93f4-630c3bab1456}} is {{formula:b0384ef2-92f6-4557-9551-4bdef8a57c5f}} -minimized at {{formula:1e13577... | r | 51cd21d69d8ff24f618c40ac9f117c2a |
The concept of Knowledge Graphs (KG) was proposed by Google in 2012 to utilize semantic information in web search to enhance the performance of web crawlers and upgrade the experience of clients {{cite:1b2c2337dc6fc3bed63b8661ee4c2b1c83a216bd}}. The Knowledge Graphs are based on numerous information retrieval framework... | i | b9141f6b6ffc78cd678114305d122e37 |
We begin by considering the bias free case ({{formula:3f3b2c4d-7908-4445-bcb0-bc3a3f3309c2}} ) where the only factors driving evolution are migration, daily movement and conformity. Figure REF (a) shows the range of model errors in this case. In approximately {{formula:6a3f5fd9-bafc-4135-af9f-1a45032afaf0}} of cases ... | r | 4cdc8e5430491db94ecfe122eb575c15 |
It should be noted, on the one hand, that the modified gravity is among the approaches used to describe dark matter and large-scale matter distribution; on the other hand, observations are efficiently used to constrain the deviations from GR (see, e.g., {{cite:c279f62596e11ebccea2dc14660b175f97d4fbf9}}, {{cite:14dfdc25... | i | 9173079109a2f81516b97aa26e3ff5ec |
We refer readers to {{cite:5357a68d3d00a27b5b88cf3ba32c1f0ad83ef69f}} where elaborate convergence results are discussed.
| m | a8e178b879939d3b582de3daae84dce0 |
In summary, Figure REF highlights the potential of
PRISM to probe the parameter space of our leptogenesis model in the
mass range below {{formula:980c0310-509e-472f-99bd-d4cf2143a577}} . On the collider front,
Figure REF shows that high luminosity
{{formula:f137acf2-575f-4095-b328-9981bf4b2f04}} -factories could prob... | r | b5d647e5bad0b9526a588f94a87ba5e1 |
The proposed method generates an expressive mesh {{formula:afd76e71-1348-4e70-bb7c-5ac75aae69b8}} of a subject, given as input its corresponding mesh in neutral expression {{formula:812cbf5e-63ee-4204-9f59-39a4ac73e623}} and a set of target 3D landmarks {{formula:1dec086e-777f-4775-9a4f-03dc184f3bab}} of some expres... | m | dfc19d3a360b5e8c38b0381ab23e9c51 |
Monocular 3D reconstruction of general categories is a task that humans perform with ease, yet remains challenging for computer vision due to its inherently ill-posed nature: the observed 2D image is the result of a confluence of multiple sources of variation, including non-rigid intra-category shape variation, rigid t... | i | 383677bc55fe59cff1bb5442acd86d56 |
Let {{formula:a74ac682-f1cb-45ca-b6a4-845b0bd6f3a5}} and notice that it follows from Lemma REF and the Cauchy-Schwarz inequality that {{formula:10c19428-b5fa-411b-ae02-ea38eca9d276}} and {{formula:75a2b56d-34ae-4a70-b072-2d816bf380e5}} is locally bounded. Use (REF ), (REF ), the compensation formula, {{cite:dc9c2dc... | r | bbc3516e68f686eae4ba979ff5c92de0 |
Remark 1
Hybrid dynamical systems cover a very large class of practical settings under its canopy. Not surprisingly, researchers in systems and control domain have proposed various frameworks to model a hybrid system for control design, see e.g., {{cite:3c829aa1edc2ee818380bf0f2145445207bb1394}}, {{cite:41c2ece007e09... | d | cea56a1084c3d2707802358f9fe944c0 |
We have proposed a Bayesian linear model that can predict a binary or a continuous outcome using data that are both multi-source and multi-way, with any number of sources or dimensions. Both the simulation and data analysis results have shown that the proposed MSMW model can improve classification accuracy and reduce M... | d | 3db04d66ee902a58ed87543c0f4de045 |
SMSS J1606{{formula:a8cd9910-668a-4189-b9d3-f47a2855e16a}} 1000 belongs to a sub-class of close binaries consisting of a white dwarf paired with a very low mass companion. Such binaries exhibit a peak in the M dwarf companion distribution near spectral type M3.5 with a very steep decline at spectral types later than M5... | d | 3b72b6887f137198c18109d3b33a5d04 |
An extremal configuration related to the parameter {{formula:2a1c458f-2214-4d9f-a42c-d7e9ff45cd66}} arises as a consequence of the RG-improvement in accordance with previous results {{cite:8487fc77295a00ad7afd6b23a62eaf214530d00f}}, {{cite:10299b8168ff14825da6c36e4d448a195ed55187}}. This configuration is reached at th... | d | eba4ad441b8bfc7635675454593d468d |
The current outbreak of the novel coronavirus disease (COVID-19) {{cite:4da9062200d7c72df1cb6db93f3e09ed75bdce9e}}, {{cite:efb95a4b311b6b4419c443a5086105d5d7cb186e}}, {{cite:0c3d1cab5282678d644e0241ebd222efbcc0fb4c}}, {{cite:d4ed94f081595e29a356951c5af3b4af641a10b9}}, {{cite:a218e21da6840d5bb4b8895d3c647052b66f25c3}} h... | d | bd6cc34134c774432ce4e8657b19c137 |
For evaluation, we adopt a diverse selection of MARL communication methods which fall under the GDN paradigm. These are shown in Table REF , along with the respective paradigm (whether the method simply falls within GDNs or whether GNNs are explicitly used for communication), the MARL paradigm, and communication graph ... | m | 320f4b379e3ed6d87e2b19359ffec9fb |
By viewing iterative algorithms applied to a given problem as discrete-time dynamical systems {{cite:8bdf51c2395d3881ef579e5d3d9d5e857e648002}}, we developed a framework for identifying equivalent algorithms via the spectra of the associated Koopman operators. The key to this approach relies on the fact that two dissip... | d | 3c3fa3a586f879df2c32387529583ddf |
The circle method was developed by Hardy and Littlewood in order to handle additive problems in the number theory. It was significantly improved by Vinogradov {{cite:2e56b48e3801ef40d7a37ce0307dea70c4d01d63}} in 1928 and was used by him to obtain the asymptotic formula in the Goldbach ternary representation problem. Th... | m | d4692bd2b67876494368f935d51aff6d |
Finally, {{cite:a989d7d0f7832ce9ae0d12919e617b01692689e2}} proposed a predictive quantitative model for each participant based on the historical steps and goal data for that user, as in {{cite:62756d9f4ce4ace3e9c74924ec40ccfb7ae30a40}}. It involves a two-stage RL for selecting the optimal interventions: in the first st... | m | 5ba40317accde37d862ba8d8c9836270 |
Since {{formula:1f5c0322-a3c6-46fb-a137-706d98cd40e8}} is not determined by the method, in what follows we take {{formula:c0e6124a-6902-48fe-98e8-98643215e451}} {{cite:bfb69c807f83fa233c6c0b279f8d63e08074adbf}}.
| m | 8b417853cbbfb8e89bf1f6335ade17a5 |
A generic consequence of a new force is the ability for DM particles to scatter off of each other. If the force mediator is light, then the resulting dark sector interactions could leave observable signatures on galactic and sub-galactic scales with a cross section that is generically velocity-dependent (e.g., Refs. {{... | i | 84d2252e0ff3f5b8b9861673bb583271 |
We compare our method to those traditional and recent learning-based MVS methods. The
quantitative results on the DTU evaluation set are summarized in tb:dtucompare,
which indicates that our method has made great progress in performance. While Gipuma
{{cite:df99e9cbcbb328d719d55de96394ff27770d63ae}} ranks first in the ... | r | 8f5f48c59721e92e50cf32c00d9d9650 |
Though impressive progress has been achieved with fully supervised models, there remain many challenges for SV systems.
For example, fully supervised models with a limited amount of labels usually do not perform well in a domain mismatched condition {{cite:b68016f0cd7a65ad0c1259a5d8b6881fbc6c012b}}, {{cite:d56c4cc54c1d... | i | b4c55211c02eb2c932505a08ab96dc45 |
Currently constructing optimal higher order models is a timely topic {{cite:bf7edcd20115ec6429164a050fe24287e3986668}}. Our method can be generalised to include even higher order interactions, such as quadruplet and so on. The method can be used to indicate higher order evolutionary mechanisms in a network and suggest ... | d | 8ae2b833e887c1e0ac90231c71592378 |
[leftmargin=*]
BPR {{cite:1673e942751f005707c7b6ddc83412df22284d1c}}. Bayesian personalized ranking devises the maximum posterior estimator from the Bayesian perspective. The BPR loss is computed as the relative difference between positive pairs and negative pairs.
LSTM {{cite:17a647e6c6296f508c025790c8e5c97a9c4d18c6}... | m | e39695ee2d30ed095b444f9f28eb6a68 |
In tab:results, we present development set results for all investigated alternatives, as well as test set results for our top-5 architectures as found on the development set.
In addition to the standard score metric of ExVo-FEW-SHOT, the average CCC of all ten emotions ({{formula:7334de40-42f4-41d5-a1c9-089ca6f5718a}} ... | r | 0d899b568f75254e7f06f7d32983ebd6 |
Even though there are many techniques present for testing {{cite:151c9e42fefc17eca9a14a25dd0f654d3a348e34}}, there has been a dearth of comprehensive ML model testing tools which can work across modalities, different types of models, and go beyond generalizability. There exist few toolkits like AIF360 {{cite:265c4f1656... | i | 751040406955f83c3950090fb11b52cc |
By studying the critical exponents at the second order phase transition, we
found that 2d lattices of stochastic integrate-and-fire neurons are compatible
with the Directed Percolation universality class. We then proposed the topology
of two coupled square lattices to increase the dynamic range of a retina-like
sensor.... | d | ffc2d1292373d64a97b9947acfffa8a9 |
A second quality of minion tests is that their soundness can be checked algebraically, as stated in the next proposition and shown easily using a compactness argument from {{cite:cede99f97e39960ca3e630da7c35cc7747ad59ce}}, cf. {{cite:cea2cfd3408d989f9158cfc4dc5951a7f16c3f0e}}.
| r | 8aa3f20a76bddbd51e097c13c6284afa |
Using the one-dimensional stellar evolution code mesa (section ) we simulated the response of RSG stellar models to injection of energy to the outer envelope and to mass removal. We list the values of the five cases in Fig. REF . We take these values from the three-dimensional hydrodynamical simulations of {{cite:ee8b3... | d | ca44a6bf44eec8a8797a4dcd4591afe7 |
where {{formula:8e87cf13-22b4-4cef-8da2-1497eab2d738}} indicates the features after applying the attention module, and {{formula:616fd74b-57e1-41f6-b74f-751455ff3903}} is a parameter which is initialized to zero and learnt during training {{cite:a3bebc04219ef457924bf23c56e227d1afaa348b}}. The method in {{cite:a3bebc0... | m | bcda7d70816cbaf5bd672dfbafdb6a88 |
Agent-based models (ABMs) are built by describing agents (individual and active subjects) and the interrelationship between them, as well as the environment where these interactions occur {{cite:0053bb8cc89d47c5a3d1771f8c6ddb7d1fb7bbc6}}. ABMs are artificial simulations made in a computational environment. They mimic t... | m | 0305bb2860ad3ca85ac468f978cdfa06 |
These classes of Boolean functions have been introduced by Kauffman {{cite:3699b25fa3e159e420917fcd3f69824f5c783d18}}, {{cite:0985aab16d25068aebb57cdb65c59cad851b3927}} to formalize the “canalizing” behaviour observed in some discrete systems. This idea is also at the basis of Waddington's work in embryology: he descri... | i | 0af7af9b39fa038e6b1b2ee3a939bf2a |
We want to give one possible intuitive way of understanding why the disk+crosscap contributions to two-point correlation functions do not decay over time here. Before doing that we review an intuitive understanding of the handle-disk given by Saad {{cite:1826a3a173e700c9b2e88bf938a87308a65028d6}}. A handle-disk can be ... | d | 9441426f07a23637a689db95d4b7702a |
These games were studied by Roth et al. in {{cite:9cf3177b2e77fca8090cdda3c0599b71de8fc693}}, and they showed an FPTAS for computing an {{formula:3c80a9b8-55f7-4503-9c5f-737db6eda628}} -equilibrium.
Their result provided a theoretical separation between the alternating move model and the simultaneous move model, since ... | i | 3d15ae61889d50c9a5c8dcc7669ae636 |
In portfolio management, one of the key questions that most investors want to address is how to find an “optimal" asset allocation fraction so that the desired risk-reward objective can be achieved.
To address this, {{cite:8080c50e0f3e42af2e10a04c238841f42c5297c3}} and {{cite:72fed22c87f00040a97cb2031db2f5eebbd4cb6f}} ... | i | 4fac83a36880144d74c8905d081a181e |
In the above inequality, the logarithmic factor appears as a residual of the result obtained before sparsification, contrarily to the bounds (REF ) and (REF ), which do not explicitely depend on the size of the initial sample {{formula:b1ec67b9-dae2-4c5d-8f7e-4f4bff6f50c0}} . This results in a gap of
a factor {{formula... | r | 574589fe9f7e39220f07d3a0bb7eab36 |
Consequently, to solve this problem, we propose the intermediate supervision mechanism to enhance the small objects learning capability of U-Net based deep segmentation models.
Intuitively, we believe this enhancement can be achieved by adding some additional intermediate supervision signals for the coarse small object... | i | 57adfced5b56e0ae94555a914836abbd |
Some solutions of the Einstein's equations of General Relativity, the so-called wormholes, initially suggested in the works of Flamm {{cite:01f1f5d5891e0b7150db6cbb615daf2f3330eef9}} and Weyl {{cite:d3e5a3ce94983f68867fcd996f3a2b401b6dd6cc}}, {{cite:5268b18cf6ad58b6fca432fb8d5a89224c09f054}}, represent a tunnel or thro... | i | 602fa22191d339d3be03458e442d066a |
There is no straightforward method to incorporate these violations in the shower formalism, since they explicitly break unitarity.
We note that, while Bloch-Nordsieck violations are not particularly significant at the LHC {{cite:7808657692d96333b8b1d7ab7c95224def028ae0}}, {{cite:69a5779adbc5e19f56308eacbcf15af0021a6293... | d | 3c590407f6f184eae92b87d950eaf240 |
The input to the constraint satisfaction problem (CSP) is a set of
variables, each ranging over a specified domain of values, as well as
a set of constraints, each binding a finite set of variables to take
values in a relation from a specified set of relations. The problem
asks to find an assignment of values to the va... | i | 907acce06276a7b475edbc1e03a88a3d |
We tackle this question by considering {{formula:4cbe0b35-55b7-40ee-9ccd-605ee2ce6bab}} , the category of partial groups (see Section for definitions). Partial groups, defined by Chermak {{cite:88bdabe16c6c2aa74fba628a7288821785d02a8d}}, generalise the concept of group and are introduced as a setting for the study of ... | i | 75279606848ebcfcdc75c491e67ef153 |
A natural extension of our work is the investigation of Absolute Negativity in sets of quantum channels. An open question for such research would be to determine the practical advantages of non-zero AN channels over channels described by a stochastic transition matrix for a given frame representation (see {{cite:e8c53e... | d | 277cac618b4886925d7fa91c0fc31b87 |
Models by {{cite:801d6f40d7af80afd03e85086317d3536e9aabcd}} and {{cite:ba8069073734dc237f4006669c01e4dc71a6efd0}} predict higher metallicities than our estimations (see Fig. REF ).
This could be due to the H I density values used as input in the models of these authors rather than an incorrect
selection of the star for... | d | 21223831c35b3001416ffb9dd5c0e4a7 |
We empirically evaluated the proposed “multi-pose hypotheses” approach on the recently published Human3.6M dataset {{cite:46741318e6d51934bcfbe3fbdef60d0d7226176f}}.
For evaluation, we used images from all 4 cameras and all 15 actions associated with 7 subjects for whom ground-truth 3D poses were provided namely subjec... | r | 6a3c9014d81bed5f2619f650254af8bd |
Indeed, capture into the 3:2 resonance becomes certain at {{formula:a3172381-d5f7-44a3-bd75-9d03be41acaa}} for {{formula:eb8f6837-8c76-48d8-a18a-7404fa6abf78}} yr, and {{formula:b3ea521b-a9a6-4eb6-930b-adc3da60991c}}
for {{formula:8d613e89-3d17-4e80-ba2c-66b12a274f80}} yr (Fig. REF ). The simulations by {{cite:a893... | d | 214bd749fdf329b7abab7c9fb30c43c7 |
Finally, as in our previous work, we implement the bounding method of Refs. {{cite:8935f38d25480fe73d7c0281f1c519300a4d8284}}, {{cite:c3fd5d72d246247ea0320434b6f9928e3f2a9645}} to further reduce statistical errors on the extraction of {{formula:dd9c456f-7ec2-4509-9303-576fcda5912e}} .
Here we use that the correlator of... | m | 937c74ddb68d1ae7a3576b0054556e5a |
Basic {{cite:12ec74f405f3816a9cd63fd1ab7c812090543d89}}, {{cite:5c1ce2117a0b1cfefbc7b08a62b8f0507cb6fb4e}}, {{cite:03a23d2a8aa915fc06fc9457fc6cc4aab39a6809}}, {{cite:811d4f5d6f018b6daa068fbbc87d549a89582814}}, {{cite:ec05b3ac62ecf3f313d683742865108ab80d3400}}, {{cite:ec64f02fc142aca2601ae423601dd1ac5272905f}}, {{cite:7... | m | 19ed88cce03a1a79209bc508910788af |
We demonstrate the GP approach for different surfaces in this part, whereby we assumed Gaussian noise models with a constant parameter ({{formula:32ca2544-e89b-4d93-901a-c0642c11d880}} ) in all cases. We simulated grinded surfaces and honed surfaces by manually design ACVFs in the first two subsections. Also, we used t... | r | e51e1e7e8f73a20539937221867e9f49 |
Reinforcement learning is hopeless to learn anything without encountering a desirable reward signal in exploration phase {{cite:7385d5dc397de54283e681abd6919fdc4661c87b}}. In our case, due to the fact that a random agent never scores a goal, by using a success/failure reward signal, our baseline article {{cite:dc110d0e... | m | 01c82f8b6a8bbdfd3a6e96e2b3e40153 |
We additionally present this work as an attempt to renew interest in SSL objectives which operate without multiple inferences of a transformed image, such as Deep InfoMax {{cite:a2169faf5556ac090f6b833ef3d2c8e463449471}} and Greedy InfoMax {{cite:1d409ae367537d19fb1f1c1bba714b29daaa3c06}}, by allowing them to exploit t... | d | b53b0282ec193f932bd333bf69eab1e9 |
In the spherical thermal convection system, the multiple unstable modes originally degenerated under homogeneity are revealed simultaneously at a critical Grashof number, estimating the ratio of the buoyancy to viscous force.
Various types of highly symmetric steady states are invariant under a set of transformations... | d | 88cec575f46a76d5bebee90bc7726d73 |
The crop row detection algorithm is based on U-Net {{cite:0460b10d11e4bf3344cd5c01a3ae8626564844c8}} architecture. U-Net has been one of the most popular image segmentation algorithm known for its ability to be trained with lesser amount of data and faster predictions. U-Net, being primarily intended for semantic segme... | m | 0032b5aa6f1f7baad71403b4393ed8f0 |
In this work, we propose a new class of repulsive priors based on the type-III point process.
point processes are a class of repulsive point processes first studied in {{cite:cefddd9a9b25bf625eb5939925f3befedb78fa51}}, {{cite:09f7b070e771b1b36eeec04350bb82d167eae531}}.
More recently, {{cite:d7043c945b39a43140cc162fa1a3... | i | a419e0e06cac4d0632ee178b4f7e1412 |
In the presented scheme, the atom-cavity system is exploited to construct the CPF gate, which plays an important role in our complete HGSA scheme. Therefore, it is necessary for us to discuss the feasibility of CPF gate with the current technology. In 2004, Duan et al. proposed the CPF gate in theory, and their numeric... | d | c7ab496bd89cb3c490ebd2aff9cce2d5 |
We validate the proposed bounding box correction method, followed by the weakly-supervised segmentation framework, on the liver segmentation dataset provided by the organizers of the Medical Segmentation Decathlon {{cite:a22632bccd89a051e535aa11e9bd4fcf33564f96}}. The data consist of 131 3D contrast-enhanced CT images ... | d | 254a5dcaf5f6eb50d7b54e936dcb5979 |
Remark 3.3
(a) Algorithm requires, at each iteration, only one
projection onto the feasible set {{formula:caf78623-2fe0-4891-929b-8fed4fc3c034}} and another projection onto the half-space {{formula:ee1b0b0e-440d-4e40-88ad-cef9153f43e4}} (see {{cite:20b85a0dcb24941939ceb10ef89de4fde420eb60}} for formula for computin... | m | 23bb0a6e434cc774bd5681f40c7f44d8 |
Since demonstrator errors are minimized, the success of our approach basically depends on the data representation and model selection for the policy.
We use deep convolutional neural networks (CNN) to represent our policies because they enable us to represent the demonstration data as camera images.
It is known that CN... | d | 7c02871d5da889a4704e9606e59df0a5 |
In this paper, we studied the lensing effects of charged rotating KN black holes, closely following the work {{cite:350b8a76b344520af235d09486379c2c5d41c8ee}} on the lensing by Kerr black holes. Comparing with the results in Kerr case, we found the modifications in the integral form of the photon motion and three key p... | d | 1f0e2f652b8e9dae93aed2a15db31255 |
Lastly, unlike the quaternions, the octonions are rarely applied to
the domain of science {{cite:738432b3ae292222c9c1d48f27df0c068782d777}}. Our work provides
a rare practical application of octonion algebra. More generally,
our work indicates a potential link between the mathematics of quadratic
forms and the binding ... | d | c4d20834c53e80a9b043542500ac97be |
During the last decade, on-surface synthesis has become a powerful technique to form atomically precise nanostructures by linking small precursor molecules {{cite:066f6749a9d1d4c5b76efe5558865600f7340e5d}}, {{cite:03bbd82e770eb7dce12c9fda7741e87f1fc8b847}}, {{cite:d6cc4b515670d99a4c728d59e0db381d1389d64c}}, {{cite:9f75... | i | 99df775681521b0c8df9811c697af2e0 |
In this light, our attention is drawn to the Bayesian interpolative decomposition of underlying matrices.
The interpolative decomposition of observed data matrix {{formula:4c1a49d2-0fa5-4d2f-a996-2bc3954e7a5a}} can be described by {{formula:21bf5f59-d3df-4e48-949e-499e29b98f3b}} , where the data matrix {{formula:586f9... | i | 61acfec802248b713b04663e01700875 |
Code Parsing Issues. These errors are very few compared to the other categories. This error occurred due to the presence of code snippets and inline code in the samples. For example, SecBot is unable to determine security threats related to input injection noted in the code block that is provided as text in this senten... | r | 811d49a8642034a24da8343e45903fae |
A common approach in the literature is the use of backpropagation/stochastic gradient descent {{cite:0d8d0a9f54388af7bb15c2e8e6c982ab310d2559}}. Typically, in such an approach, labels have to be defined. However, in RL-based design, the only feedback from the environment are the reward signals. To work with a definitio... | d | c61385c51843071cafe094234512c60e |
In our experiments, we use bert-base-uncased model as the victim model. For BadNet-RW and EP we randomly select the trigger word from { “mb”, “bb”, “mn”} {{cite:fcfc4025986c2af6b3c7682b7c615bcf8c5d9d73}}. The trigger sentences for BadNet-SL on each dataset are listed in the Appendix . For all three attacking methods, w... | m | f212dd97cf5bcc6551173bc848dd8b8a |
The existence of a spectral distribution satisfying (REF ) is
a consequence of Hamburger’s theorem, see e.g., Shohat and
Tamarkin [{{cite:72b971a47b3043b0562bafa933bc5c83071a3093}}, Theorem 1.2].
| m | 34c1a68c074a316b7a764babb251bd3a |
Earlier attempts by Carvalho, Gonçalves, Spiering, and Navarra (CGSN) {{cite:60adb8a080badafc3bdf42b0ee441fbe36fe59d5}} to explain the Feynman scaling observed at HERA in the leading neutron spectrum showed that this scaling is associated with gluon saturation and only exists for small {{formula:ec2501f0-c324-4fa7-a672... | i | c4d7e6474444e560a04a576318b3d111 |
Using standard methods and assumptions (REF )-(REF ), see e.g. {{cite:b7f2e49a2ac1c8df0e856c45b1aec980dc660154}}, Chapter 7, it is not difficult to establish that (REF ) admits a unique solution {{formula:f257a523-278f-4d69-99f6-d8d82c496c6c}} such that {{formula:2925ec8e-763b-4d5d-99b5-eec098e076af}} and {{formula:e... | r | c66fd9e70774ea444ccb7bb46bca52f0 |
Finally, we comprehensively evaluate our different implementations of DP-TopDown on real, relevant datasets, and provide plots that illustrate the privacy-accuracy trade-off for our algorithms. Empirically, LocalRNM performs better than NoisyCounts on most datasets. Motivated by our theory, we also show both the traini... | i | 4900d59f8509bfab4417626fc72354e3 |
Experimental Setup.
To align with {{cite:0c1402785d0154f4778357fa7bf64a804b6dba03}}, {{cite:cc18bcf9ba14c96a1ad76316cc55e5b82c6b4337}}, {{cite:9d2b720da2f5969b967fd408063f49fe6a0aa9bb}}, we perform experiments on the CelebA database {{cite:2dfa81c7dafff9066087bf5399db584d5054b81a}}. CelebA is a large-scale dataset con... | r | 3bac5b92eb44972a3af5db12c8cc947a |
For testing the non-multilocality of quantum networks consisting of general noisy resources, we provide one sufficient condition that all coefficients of {{formula:9171529a-43c6-4aac-b2d9-82134d19a009}} and {{formula:5dab7bba-03f7-4e0d-aecc-1d7a2980f6f5}} in quantum states are no smaller than {{formula:3233b016-ca74-... | d | afe152899bf1b4e946726ee619c667b7 |
In Figure REF , we compare the quantum Fisher information with {{formula:cacae124-9e6d-4c79-90b9-74651fc6a9fe}} causal orders as a function of the noise parameter {{formula:e88ebe11-661e-4874-97b5-50ed5d181665}} . As you can see in Figure 1(a), for certain combinations of causal orders, the quantum Fisher information ... | d | 91c941e9c75548b60be61742fe6af04b |
The calculation of the transition density {{formula:fc1d33e7-5b09-41db-8759-6208a22aac69}} itself is a very complex issue as the inner crust may have a very complicated structure. A canonical approach is to search for the density at the point where the uniform fluid starts to become unstable against small-amplitude de... | i | 795d123e0c21441ccc616047617dbbac |
Zones are interesting for synthesizing properties such as robustness of neural networks used for classifying data. Indeed, classification relies on determining which output neuron has the greatest score, translating immediately into zone-like constraints.
ReLU functions {{formula:9ce81f77-f138-496d-a31f-8c6c6c2fead2}} ... | i | 4ba741f0a547db248cc20c2ec08b6bc2 |
The Camassa-Holm (CH) equation, rediscovered by Camassa and Holm {{cite:a81ee87021e6540dd38a10b366c2f0bc9c6d11c8}} at the crepuscle of the last century, added a new member to the zoo of models describing waves in shallow water, such as the KdV {{cite:9625654b2bb888c43f793232d453a67999df6527}} and BBM {{cite:4287ed0d986... | i | 024e394c0a1844358df26575487f2a0b |
Therefore, it remains to verify that the middle vertical map is an isomorphism. For this, we need to recall some more terminologies. Denoting by {{formula:b08d7763-faed-46d1-b328-8b68ca4cb169}} the cyclic group generated by a primitive {{formula:b62a277c-0f1e-48dc-9409-325a6b1e268d}} -root of unity, we then write {{fo... | r | af39965cae1da4dee1d2a984d735cd5a |
To turn this into a white-box adversarial attack, we need an algorithm that, given an image and an initial value of the conditioning random vector, would locate that value, in the neighbourhood of the initial value, which causes the loss function of the SISR network to attain its local maxima. State-of-the-art adversar... | i | 9a1269677b79ce776bdd0d18ed7ea528 |
To explain the negative magnetoresistive behavior, we have assumed the clean limit. However, this assumption is not necessarily essential: In general, the sign of the sum of the DOS and MT contributions to the fluctuation conductivity relative to the normal conductivity is negative in low fields even in the moderately ... | d | d9085849535053037b290fb98594564e |
We define a transformation cost-function in Sec. REF to indicate the benefits of transforming one graph type to another in terms of changing memory capacity concidering the transformation runtime complexity.
Related Work
The topics related to this paper cover several distinct areas. On the one hand, graphs that serve ... | i | 92d06524a1c0bda29391fbff8ece7278 |
Baseline: We use the proposed RNN model with the user profile attention mechanism and the exercise profile temporal attention mechanism (described in {{formula:fc326f9a-e652-4a73-9b26-4fd7f813c15c}} REF ) as our baseline method. The model is trained with Cross-entropy loss function and Adam optimizer {{cite:accf32e450... | d | 441a86220c1122667724f1b27301e6b7 |
This work studies the task of learning a Gaussian Bayesian network given its structure.
The problem is obviously quite fundamental and has been subject to extensive prior work.
The usual formulation of this problem is in terms of parameter estimation, where one wants a consistent estimator that exactly recovers the par... | i | a55c136d31bb105234c19281300352d6 |
We present the baseline methods which are the inverse probability of treatment weighting
(IPTW) {{cite:d7fe5459cf361bcaa668a05e58ad44776314f1db}}, marginal structural model (MSM)
{{cite:22ff816c0eca7da739cc156c67cc450086d2658c}}, {{cite:f2643775a5af17691ca2a92969b395986677746c}}, sequential g-formula (Seq)
{{cite:3689b... | m | 65afa13606b569a48617442940d633a7 |
If {{formula:3e4a867f-0e62-4a82-b4ae-434097159449}} decays only to invisible particles, such as dark matter, bounds on the coupling parameter ({{formula:a3f4dfb5-8be0-4cce-9fac-7bb7961f56a1}} or {{formula:d2465358-ed02-4bda-a371-7dd7fa635d22}} for the scalar and ALP models, respectively) are directly derived from it... | r | 9f1f0af402253e659ad57ff9809f9cd3 |
The RDCBs are sequentially connected, each having a residual connection with the block input, followed by a new convolutional layer, and the output of that layer has a residual connection with the output of the first convolutional layer. The existing residual connections, identified by the symbol {{formula:f3520dc1-209... | m | e20bd57bc5526af98de24af5707e8129 |
Over the past fifteen years, the calculation of the scattering amplitudes relevant
to NLO corrections both in QCD and
the electroweak theory has been automated {{cite:6cd027dcf3b11cfe3770061ba246fc0ef7c41c8c}}, and can be
performed in a reliable and efficient manner up to high multiplicities. Calculations to this order... | i | 4da59334828c7c1795d00e66ead259b2 |
Alternative dynamics such as the death-birth {{cite:5661521a129251ba3e455f5d30e2001ddd8eefce}} and the pairwise comparison {{cite:943a6119205938e1905b9ac22d7b34b62feedf1e}} could potentially hold similar fixation functions to the ones reported here. Additionally, considering multiplayer social dilemmas in well mixed po... | d | 79784181b4ca5b7ab1713ab11b7d6441 |
Based on the referenced literature, it can be infer that, DL techniques have been used extensively to detect various skin diseases caused mainly by various infections. Therefore, traditional CNN is a good approach for developing deep learning-based models to diagnose the Monkeypox disease diagnosis. In this work, we pr... | i | e70881f415b9a70412bc0a261dda0464 |
In a traditional centralized architecture of machine learning, the data collected by mobile devices is uploaded and processed in a cloud based server to produce inference models {{cite:fb020718fb991585332ed561041315284cf808bd}}. With potentially large number of autonomous vehicles, where real-time decisions have to be ... | i | 428d5991a680156b2470b7e3846507a9 |
In this section, we reflect on MiCE's shortcomings. Foremost, MiCE is computationally expensive. Stage 1 requires fine-tuning a large pretrained generation model as the Editor.
More significantly, Stage 2 requires multiple rounds of forward and backward passes to find a minimal edit: Each edit round in Stage 2 requires... | d | 94222b86973384125cea2922f854847a |
Image augmentations
Since contrastive loss is sensitive to the choice of augmentation technique and learned representations can get controlled by the specific set of distortions {{cite:59bd78b3748537b7b989829af580f447a5a5eb86}}, we also examined how robust our method is to remove some of data augmentations. Figure REF ... | d | 7c25d6769b46cac3b51fbe4ebe756f5a |
The goal of this section is to review well known facts about some of the above tau-functions and to put all of them in more general context. Following {{cite:86526307fbac04a9f305f911ec6083aa4a72cb4f}}, {{cite:dcced58988458441159a4f0ad2ceb958ccd5bb46}}, {{cite:326e4002b4e7d33e038856f9edbd20227f35e145}}, {{cite:64b816064... | d | 00b9ca5434a38d599237e075c0636979 |
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