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Natural language explanations alone, however, might cause unwarranted trust from the human recipient {{cite:125ad4bb9058c2c715ac775815b5b08c91161c58}}, because the models which generate them usually are optimized via direct supervision towards a few human-acceptable gold rationales from static datasets {{cite:cfa57eab1... | m | a554214852cf573f863e4c5769390040 |
Results shown in Fig REF correspond to the QCM algorithm run on the IBM Quantum processor ibmq_montreal – the qubits used are indicated on the device map. Comparison simulations were run on the Qiskit QASM simulator. We have plotted, as a function of the trial-state parameter {{formula:f131df71-50e2-4f21-af30-937c14aa... | r | 2dc1701aad279ed49c0e8e0e7937519d |
To determine the amplitudes for the systems consisting of pseudoscalar mesons and baryons, we use the lowest order chiral Lagrangian
{{cite:4f4ef2e564556941b6c91da5fc74a0fec42cbdc5}}, {{cite:32b52fa8c552b6b5379b1191918a2565a61de5a8}}, {{cite:28e6121d87456648bef04e6fc5abcb64846de576}}, {{cite:ec0c7a3a8cedc15475203a10cc... | r | ffe13f6a515ad159dd70e6f4d3a52094 |
The MolTrans framework learns to predict DTI as follows.
Given the input drug and protein data, a frequent consecutive sub-sequence mining module first decomposes them into a set of explicit sequences of sub-structures using a specialized decomposition algorithm with inputs consisting of vast unlabelled data. The outpu... | m | da32dd2cb040e91aa133bda6e3c81a28 |
Writing (2.16) as {{formula:d7c07fdf-332f-43a5-8315-c80d4ae5fa1f}} , substituting {{formula:c2c97407-97f6-48da-ad73-802c41ff7aa7}} for {{formula:71cba5c5-0f09-4250-89f5-8cda04e55975}} , and using the {{formula:4ebad8d3-7e80-4285-81b3-23b38868b611}} -contact property: {{formula:57d36a01-d030-4abe-831c-e4c1e1ef1e68}} {... | r | 8017ec225a9d45c1ed47a3c044083796 |
Under the above assumptions, it was pointed out in {{cite:a8bee4533f1c3495a41bdba8de15970923982c9f}} that
the Cauchy problem of the compressible MHD
equations (REF )-() has a global weak solution,
which can be stated as follows (see also {{cite:cd6a8195552ab1665a60c1a2b3fb4959466185e8}}).
| r | 0b0e53a47e2f5bddd538011cbbabaafa |
The favoured scenario of binary formation is the fragmentation during runaway collapse of cloud core
{{cite:952631ff93ed58aa4cb50cb7978316fc1ae38394}}, {{cite:ca9425b524c464b92dd4324920606617e2ffd9a8}}, {{cite:a29ce606013b2e261a0bcbc8eaca848d157e9fab}}, {{cite:ec8cb4fdc794f8ae1ba9a2fe9f6294d9cdd49015}},
and the fragmen... | i | 27226dcb73eedef15d5fc6049bf7ed10 |
Passive cooling
allows the ground state to be reached
while preserving the mechanical {{formula:1c7b4eb6-177a-4d47-b735-fca2d4a115d9}} . This potentially provides much longer mechanical coherence times,
enabling unique sensitivities for force sensing to be attained
{{cite:9e0f6eb47c75204bf72050b45772c27a1e28ddb8}}; the... | d | 0a77465466e070d9cc603e8bdbdecac7 |
We trained and tested our proposed framework with both synthetic and real datasets, and then compared the performance with some related work. Most existing methods are however developed for static scenes {{cite:8fcf9d2c06eb2838e31fcc431b8acaebb2692f9a}}, {{cite:c513e080bdcf676f56ed6df3a2b44c336d64b22f}}, {{cite:fdb7224... | d | b9cae631c440a6f44646a9102998d1ce |
for normal hierarchy (NH) and inverted hierarchy (IH), respectively. The case of only two HNL generations in comparison with the case of three generations has been analysed within the cosmological framework in {{cite:89b7312d2d7ad161c6cc3532307443c726b3e3a6}}. Significant differences from the case of {{formula:70f09ea8... | i | 4fc96ba216a238cf4014037e26e0a8ee |
Previous contributions on RIS are mainly focused on maximizing the spectral efficiency/achievable rate or minimizing the transmission power {{cite:040e23a07727f8c19a4a6148b74f01328b76b6a2}}, {{cite:9924b730deebd4f24e28bdd9245d2c599ec51c33}}, {{cite:996849ea0bb35b2b51152312940902d736063edf}}, {{cite:280499ef3d3d856d75f6... | i | 86c459e7439584668b73c4641403a42a |
There are special conditions for opening a wormhole {{cite:1945e2d9e80f4dc87ef4b8ca1479f26d79c7018d}}, {{cite:80ac4c7a4d60247b25913c7641f7d573991c65fd}} that result from the equations (REF )-(), called flare-out conditions. In our model a special monotonous case {{formula:4679a721-5ca9-4c9e-9d9b-bd4c45c7904b}} will be... | m | 29cfddba6a303e897e6d13595200611a |
The objective of this section is to give an analogue of the Skjelbred-Sund method for classifying nilpotent assosymmetric algebras. As other analogues of this method were carefully explained in, for example, {{cite:4f2668a1d49478c59158b5610c3bd4fb6e50f26b}}, {{cite:3a8023511b304cde3d0a3d4d5176324561511570}}, we will gi... | m | ccaf5fa1ae3db3bae0820898406b844f |
The asymptotic behavior of the probability (REF ) has been studied by many authors,
we refer to
Lévy {{cite:02ac8f9652afd45c2b22b3ec8680553f6470a106}}, Borovkov {{cite:92ba3374f93e7399f7d50ab919ea386ec2159f47}}, {{cite:539cf2dac808ebed0dea7424999ebbc574968d8f}}, {{cite:ea88639158f98329b8cd73626dd8319ba35cb073}}, Felle... | i | 6c78493814a1dff65a1ae34054723915 |
Theorem 1.2 (Kameko {{cite:bbce4f4d6aa24e395a14c879aaa57e183e2d9c17}})
Let {{formula:9338d7f7-ed49-42db-95e9-43a520dba492}} be a positive integer. If {{formula:1806a320-6f6a-48f0-ac6b-e0f3b7cdedd8}} , then
{{formula:01bc7c35-77bc-4515-be86-2bce6a1967f7}}
is an isomorphism of the {{formula:de660e1d-b1b1-4cf5-846f-0b7... | i | dc08e136973e15ff84023721587333ac |
In this section we empirically investigate our theoretical findings on different BNNs.
We train a variety of BNNs on the MNIST and Fashion MNIST {{cite:56c33c606bce9d66f19e0048fb0ad58249818aff}} datasets, and evaluate their posterior distributions using HMC and VI approximate inference methods.
In Section REF , we expe... | r | efe4402f10ffd7bdf34068bb9f118d62 |
In addition to Quasi-Newton methods, other commonly utilized derivative-free direct search methods worth mentioning include the Rosenbrock search method {{cite:171f3e7e1e3fd8725df09c57427242e905c6c4d9}}, the Hooke and Jeeves pattern search method {{cite:a0d6978f756b84ed0f0314cada737c0a9b5bf0de}}, Brent's method {{cite:... | m | 84017866af50b8a2fd647ec8d419f03c |
Using surrogate-gradients, the BPTT-gradient in the SRNNs can be computed using standard deep learning frameworks, where we used PyTorch {{cite:ba4675be846465ff98cb5a957ee4b56ac63dc225}}. With this approach, complicated architectures and spiking neuron models can be trained with state-of-the-art optimizers, regularizer... | d | 83f191f43a4b4f678d04fb635fc669b4 |
[Note that EquationREF is obtained by equating {{formula:6a59b6d8-679f-4318-9819-99e18c06fb0b}} with {{formula:7698348f-6b48-4664-a5f9-eedac7bcc473}} where {{formula:a1dd7de0-e15b-49b3-ba9b-5815e95e5186}} is the solution of the fractional-order differential equation {{formula:2c377451-d4fb-4b3c-9369-dd1a7a4097ba}} ... | d | 8ae8085a70c88cb745a564820f611ffb |
As shown in REF , 11 of 13 participating teams achieve an SRCC score higher than 0.75 on PIPAL, which significantly surpasses the highest performance of existing algorithms (0.65).
The champion team achieves an SRCC score of 0.799 and a PLCC score of 0.790, refreshing the state-of-the-art performance on PIPAL.
In orde... | r | 29dc0c0a6989c3d806aa914c7b448ffe |
We would like to emphasize that these results are achieved with only 500 networks trained using about 200 GPU-hours while the compared architecture search methods utilize much more computational resources to achieve their best results, such as {{cite:c06a7d5a35bea38611c6cd42c089e9b108ef0a6a}} that used 48,000 GPU-hours... | r | 193cf77d3a5097238dcba3ea6897ec9a |
which, together with the boundary conditions, implies that {{formula:39bf2fd8-1ef7-4a9f-97ff-ef316f26e201}} for some positive constant {{formula:189b50d7-6b59-426e-94e8-679ebecd8b90}} . Taking {{formula:5beccb38-0cc8-4a5e-932a-b4de6f948c37}} one recovers (REF ) for a suitable choice of parameters {{formula:509385d1-5... | r | 9738476d77a5666d4b7a3b73b6c0b33c |
A solution {{formula:15ecd055-a890-44c4-962a-cf365837bbf7}} of the problem (REF ) is called a {{formula:2cbbad30-9dec-48ab-8065-edb8ebe7e6dd}} -solution of the Hamiltonian systems. The problem (REF ) has relation with the closed geodesics on Riemannian manifold (cf.{{cite:092e618873169706a520b2a5ebd975f3051a6bce}}) an... | i | 1d9814e76486ef07137830a54ea1240d |
Finally from the result on {{formula:48751b4f-8ec0-4aae-bf35-96186cbbd166}} , using relation (REF ) and the measured value of {{formula:3ab4e831-d295-4184-ba46-a22bf0a58e1f}} {{cite:e7697036903914c3dd31371187209d1af78e8fbe}},
an upper limit for the branching ratio of the {{formula:5888420e-1dcb-4639-a3bb-f09b3b232078}... | r | 84a919a16c53dadd209c4fde327c7f76 |
where {{formula:5ed61718-fa82-4c46-8748-2b6e53e6a08c}} is the constant step size, {{formula:1cc63517-3a92-4d3b-97da-99bc116643d8}} is the same constant as that in (REF ). The following convergence result on (REF ) has been established in the literature.
({{cite:a847ebcb9050f0438ede16c086801d571d0ed491}}, {{cite:29cdf... | m | 03782425b8c29178904e217e3494f5b8 |
The zeros of the dispersion relation ({{formula:a5075f96-e639-4f16-bf8b-9aaddde4b525}} , equation ()) were explored within the complex {{formula:b14ba18d-eea3-40ac-a3bf-3e9067aab92e}} plane inside the region {{formula:8f746024-6658-414c-a930-a90df5725789}} and {{formula:49e7e60e-4610-4b14-9ae2-b83a7d0caccc}} . The fi... | m | 789c44c5a028786972bf424edc6c9560 |
Our definition is simpler and easier to work with.
To summarize, we define unbiasedness based on individual relevance estimates because it is easier to work with and is interchangeable with the unbiased definition based on system performance in previous work.
While unbiasedness has been the main focus of most click-ba... | m | 4df5b3e6f476c47f8caa70c5239d7f33 |
Role of Prediction Head: A deeper prediction head results in a student with higher representational capacity and thus a model that
better matches the teacher representations. Table REF shows results for models with
a common MobileNet-v2 {{cite:e4df4cb4ff77ff791a9b0995df4bde1f4d6b3b03}} backbone and different predictio... | r | 40448fc46730a57a779f0fec17f5a2a1 |
where {{formula:81fe112c-7f28-4430-930d-83cb35a5af59}} is the “exchange-only” version of Eq. (REF ).Note that in standard text books, e.g., Ref. {{cite:d8015fa229165e700a646398535f490e870d8998}}, {{cite:73501553f7965904535eec968a2cc7326da3f131}} the occupations are usually neglected, since they are fixed. We explicit... | m | 68889593b28e5335adaa2925fb5da22d |
We suggest trying a wider range of hyperparameters and design choices for SplitMixer, such as strong data augmentation (e.g. Mixup, Cutmix), deeper models, larger patch sizes, overlapped image patches, label smoothing {{cite:e17ed177bb25684e55c513be5824c2689293c7ee}}, and stochastic depth {{cite:cf0b60346bf7eefa8a9cad... | d | 91d863e8d66b4eb2336b600895710ca1 |
Definition 4.6 (Left-point method {{cite:07afa5d7f2146d85b104f484b6f9b3ca70d6cd9d}}, {{cite:1feab0e8708424868a24c712677c8f1eb6db748e}}, {{cite:1febefc07cdafdb3818d70c6e12510a7a06b98c0}}) We define a numerical solution
{{formula:7c3d972a-6006-46fd-be14-2b4d0293b9d1}}
for the SDE (REF ) by setting {{formula:41172120-4e... | m | feaa7fb460cc20426dea1cb37e561de7 |
In the past two decades, both traditional {{cite:d37c6d539865a223cd6734f67cbeea4ca91f10ed}}, {{cite:ce2704a7872ae61083b86d6cba88583da866b97d}}, {{cite:47ab273f0ff3ec3c61ca65ea371b4baa1ccfeb2b}}, {{cite:0dfea6f628c727b03d2ffe0782ec64711d98628b}}, {{cite:7c4afb08062c0244f1ac37b9745a9eb1e0f7729c}} and deep learning-based ... | i | 7db032f6c669bf429c36ab9df376faa2 |
We conducted a metalinguistic experiment (vs. a processing task testing implicit knowledge) where participants used a web interface to assess the relatedness of WordNet senses in a two-dimensional spatial arrangement task.
We then obtained BERT embeddings for word types in the Semcor corpus {{cite:963649f536f65f41a9af1... | m | bf49c65b2ec7181204aa173a994c5e49 |
Normalized Mutual Information.
We quantify the echo-chamber effect by measuring the extent to which users from different retweet communities share the same sources of information, as a proxy for the information siloing in an echo-chamber.
To do this, we employ Normalized Mutual Information (NMI) to gauge the similarity... | m | c48c4c8c0fb846e57114e98f5e769533 |
Approaches REF (or REF ) and REF are similar with respect to their implementation.
That is, approach REF can be implemented using GP regression {{cite:21083b9c4a98b24441d87ad60ac15b7013088bdd}}.
Therefore, the essential difference between REF and REF is that the former explicitly introduces mechanistic knowledge.
... | i | ce57c6be916e54a908cd3bcd469a008e |
The primordial black holes (PBHs) are the one of the type of black hole that produced in the early Universe {{cite:959c64368f602218d25e14e138c789ca84c42dbe}}, {{cite:4cc5a8824aaae681891bfbfd0ae1661b4da5814f}}, {{cite:0e1376b412d6b2986b01e08c15294b3824e0f401}}, {{cite:1c1888f286e972ab4d41d2f91c1f327b639e8bec}}. The PBHs... | i | 3d8aec873e1c6ac644b4607812e005a2 |
Let us first recall a classical version of van der Corput's lemma (cf. Corollary to Proposition 2 in {{cite:b093c61bfbdf9e4233eb2436670b2493a36858c5}}).
| r | c66331cf1675c72577d8522b970bec63 |
However, a proximity parameter can in principle be found, so that its cubic partition be the better choice for
a given simulation. In fact, N-body simulations and the friends-of-friends algorithm
have been used to calibrate these kind of codes to obtain values
of linking length parameter, so that
it makes the best iden... | d | 088549023ba6624d95a29f6679e52534 |
Other experiments considered different data sources including characters (written on a tablet), and other features including physical properties such as speed and acceleration. In these tasks, other methods sometimes showed better performance, specifically a KNN classifier using edit distance with real penalties {{cite... | d | 03093e32340c20b48e4c5806933896c9 |
Selvaraju et al. use datasets with manually annotated bounding boxes on objects in the image to compare the saliency map and human annotation using Intersection over Union to determine the quality of their explanations. Muddamsetty et al.{{cite:a079f4e77cc83d489b0435e4046be2ce0021569f}} also create a dataset comprising... | d | 2a4cadf25fbebdff37e3553bb047467a |
Usually AM methods are only compared to a few others and only on vanilla ImageNet-trained CNNs {{cite:3142ea881778ab09d8406724be592319d3b4595d}}, {{cite:0536914cbefb39d066f203b0b085846955dec8ee}}, {{cite:8a39e84c5f9422470010b7a9e7b6e03e297c4b2e}}, {{cite:6597519704128b610e216ed3cf4be8dd95c969a3}}, {{cite:8c89231cf4a24c... | m | 8bd6dfe6504a34393b91217eb2a29df7 |
It has been well known that the low energy chaotic behaviour of large{{formula:263dc24a-f4f4-4ef7-8bef-539c1646d6cf}} holographic systems is captured by the near horizon dynamics and effective theory of black holes.
The JT theory of gravity has been shown to reproduce the near extremal thermodynamics of wide class of ... | d | d37b06228afe1588f63955800385acc6 |
Annotation-Efficient Segmentation: Developing an encouraging performance segmentation model always requires many high-quality annotations, but labeling the abdominal multi-organ is very expensive and time-consuming, each volume around takes 1.2-2.6 hours. To reduce the label costs, annotation-efficient learning has att... | d | 53406b6efa1418447e4954a15370b018 |
conducted a more comprehensive evaluation with all combinations of KGE models and sampling strategies totalling 648 data points (324 for each prediction model).
The rest of the paper is organized as follows.
Section introduces essential concepts to the subsequent sections.
Section introduces the use case where the k... | i | 806549b0df80967ab4b27e348752a46b |
AttMask can be incorporated into different methods to either replace the block-wise strategy of BEiT {{cite:37c498c6398aa8b527b67d37da1eab5f222e5526}} or introduce masking. For iBOT {{cite:42fa89fd85bd8a832bc798db5a1297bbcdf673a9}}, we use {{formula:1111b213-5377-4c4e-af33-1a3c587277ae}} in {{formula:890a3a43-304c-45d... | m | 029882e4a972de8db4406caa01d29a3b |
Meanwhile, delineation of anatomical structures relies on multi-modal medical images, such as Computed Tomography (CT) and T1- and T2-weighted Magnetic Resonance Imaging (MRI). CT is required by radiotherapy dose computation as it can measure the density of different structures. It can show dense structures like bones ... | i | 3446182e425bebda9fb42a58ee1cbb22 |
In the outburst, the accretion rate of the ADAF at {{formula:1adc567a-765b-4143-a527-be847ef68935}} rises in the thermal timescale {{formula:ea1227a6-4961-4aa7-9660-9455635275db}} when the heating front is approaching the outer radius of the ADAF
{{cite:a247901545350ba27fa58897707174940e32a3b9}}, which is roughly at ... | d | cb2d51188b65b502ca0f7dfff2d2e733 |
Simulations were performed using the Quantum-Espresso
code, which is an efficient, open-source implementation of density functional theory (DFT) in periodic
boundary conditions {{cite:63b578c5e9cfa1255dd9e395faca3016ae90a2f2}}, {{cite:946896357a97ddab61da7d7deb57fbe5fe9c337c}}. The standard
package was modified to carr... | m | 1ecbc0315ae995e9fefbad9461e13e53 |
With the advent of deep learning, a great number of state-of-the-art methods have been developed for low-light image enhancement. LLNet {{cite:4953d8d3d329faf1025e88c8e862f76bb64f95fa}} is a deep auto-encoder model for enhancing lightness and denoising simultaneously. LLCNN {{cite:cb81372c1228549fa81b0658dfe1b291ec9160... | m | 57e70879d3582415114442ce837f8d68 |
However, as we often see in practice, the information assimilated in each gradient can vary widely. After the first few training epochs, the gradients of specific data points lose their value. {{cite:1bf7f51380ed7b0dc18ede33c42190264aff85d2}}. We could select data points randomly or by batching the entire training set ... | i | e831fa9f8e7972ced40fd75c9153fa2a |
The axial-vector anomaly by Adler {{cite:fb7c0c278de741fc49be2a479e7a3b200bb330a2}}
and Bell and Jackiw {{cite:cc75c3ed7fa5a8fe0100447c78eb017c5e54239f}} states that parallel electric and magnetic field cause a divergence of the axial current. In units of the flux quantum
{{formula:e98bd467-c606-4829-9936-7ddf324c3a92}... | i | 7bd03923537c3935efac5ac4beb47280 |
Meanwhile, analytical {{cite:d29fba447d308e4d2b538326d611efc2638c2975}}, wavelet {{cite:f631f51371262e9fec50c737984a9ba96d9d6625}}, fractal {{cite:045af4cb30a470c6516ff4b5be97c8e16afbfbcf}}, fuzzy system {{cite:ea58533f6a9b26875e741c32291120c19cefcfe2}}, Kalman filter {{cite:f97497b21f5cab3606dcaf7e3cb4c854070ce73b}}, ... | m | 282132ea8163ecc1f3bf8c6490fb743a |
BERT {{cite:b982552ab597feb170573f729fc2f6d567e661e3}}: This is the BERTbase model from publicly available checkpoint.
ASP: Inline with ASP practices{{cite:a92fca70f4ac28516c5669a7746677ae6c0aeaaa}}, we perform one-shot magnitude-based masked pruning on the pretrained model. This baseline is considered best practices... | r | c8dd3d731a1e972183c2f19f7c736c1e |
The main results on CIFAR-10 using PreAct-ResNet-110 are summarized in Table REF . We experiment with different constructions and different {{formula:7e561c78-a23d-4a73-bf3a-1d16f315109f}} s. 1xSkip is our reimplementation of the ResNet-110 with pre-activation and outperforms the reported result in {{cite:aa74cfed303fd... | r | 52de72c90fc3211c0005fe2211b343e2 |
Our model is of interest for the following reasons.
First, we predict the luminosity of these planets will be low even at early times, plausibly between the luminosity of Earth and Neptune or less, and should be initially rather insensitive to the planetary system's age for hundreds of millions to billions of years.
Th... | d | 5fedc6f22a22a8af2f0675a4af51608c |
The ALA can in principle be applied to any model, but one expects it to work best when the log-likelihood is concave or at least locally concave around {{formula:720b993d-cd74-4e45-936d-8a965c32e82a}} , e.g. models satisfying local asymptotic normality.
Yet another avenue is to apply ALA to conditionally concave settin... | d | 3e853e67cbf2ac319cab69f9f3d4ce42 |
The Carrollian limit of Einstein gravity arose initially as the “strong coupling limit” {{cite:239c110f23defd65c3b3317b8ded347fd2e7355e}} or “zero signature limit” {{cite:db1d73b358ac615180c7c78c8736714d99c4aa30}}, {{cite:f98ce1c56a277b814f94f66ddee187e6e4933c53}} of general relativity. It is relevant to the descriptio... | i | 01d80a7f1d8859cbe56e76526b523428 |
Random Forest (RF) {{cite:c0cb3dc5c86bdb8def9e2b4cac4b3aee1793f118}} and a transformer (TF) {{cite:d2222ce551dd5249e04a7cd9e4018c4c2b700d97}} were used for the supervised crop type classification task in this study. Overall Accuracy (OA) was used as a measure to evaluate the experiments.
| m | b856da9ed997e11d9e93a30b6fdf2093 |
We presented a method to reduce duality gaps in the Lagrangian relaxation of the MAP-inference problem in a continuous MRF taking a nonlinear optimization-driven approach. Our theoretical contribution identifies extremality of the lifting as a key component, as it leads to convexifications which do not discard any info... | d | 588e038c0cd781ff7c36cb842ef6b7dd |
One of the earlier {{formula:5ebb72d0-9c7f-46ca-8df5-899365e9d7ad}} studies in 2HDMs following the discovery of the light Higgs boson was the work of Broggio et al. {{cite:9a5bf93ad5c32c8b221a836d89614e80f25c08f6}}. They restricted their analysis to the “alignment limit" ({{formula:a163b5c6-a3d9-42bd-933a-d9e85cda7e3b... | i | ad5bead9bb30e8dc934fa373b207d351 |
We compare LaSS to three types of knowledge graph completion methods: shallow structure embedding, deep structure embedding, and language semantic embedding.We refer the readers to {{cite:ef6c579de31a32e1190b4d69119941d80c1760e2}} for a more comprehensive review of the knowledge graph completion methods.
| m | 25ac5e8495a5e0dad1eabd79c4b0e9e3 |
Additionally, both details and context information are crucial for occluded person Re-ID, they have their own advantages in different situations. As illustrated in Fig. REF (c), we can simply identify ID1 and ID2 by local details while finding it hard to distinguish them based on their outward appearance. {{cite:75321... | i | 1800861b14ee0ac1c6962d010b32ec99 |
The continuous transition between replica symmetry broken and unbroken solutions studied in Section should be contrasted with the discontinuous transition between two similar large-{{formula:f07a3776-c65f-4141-9bc7-f8cdd79d4d64}} solutions in the unitary time evolution of Rényi entropy {{cite:9abe4186cebddf764212ed08... | d | 481af291ee3f7a000726eb64a17ce7a2 |
There is other evidence that the X-rays we observe along our line of sight are not representative of the 4{{formula:88fef051-f19f-4cd2-bd94-3a1a6ba95f38}} emission:
Optical reverberation mapping {{cite:a75a920ed04ca088baf1864f94552970b68edece}} has shown that the Balmer line H{{formula:75498794-b740-4da6-a513-d211cccd... | d | 1ca103ce552f96790eabdbf8f624e344 |
for its expansion at {{formula:f6ac8166-97cc-43e3-8a9e-17182a7189df}} . For simplicity we assume that {{formula:36a50ce3-c1b4-4ea4-b9b7-4b090abfe5de}} According to {{cite:c08be08c64ecd4bf88b17d2030caaa21f0c39c43}}, the {{formula:a83a4387-9ff2-4349-9f88-8f0c265eec74}} -th Fourier coefficient of {{formula:deb0cfd3-f190-... | r | 4eacb7cdbc8a7c5b69819c37ec97e0c6 |
Despite the fact that the natural evolution of the platforms considered here (and also of those ones not considered) will impact the viability of the proposed network, in both its constituents and design, useful observations can be made from its current form. Probably the most striking of those is the balance between h... | d | 39896a45f5227ef2083bbfca5cc0d0ba |
where {{formula:8e9b191a-dd87-4c46-bceb-35257db16a26}} is the sound (or thermal) velocity of protons.
Since the ratio of {{formula:90fc3ad2-ec97-4348-ad81-a2db8deb8101}} is usually less than unity,
the plasma is strongly magnetized ({{formula:9960f9aa-3b99-437e-b81e-3b76ecdf8e04}} ) at the end of the magnetic field g... | d | 77dfa201789023d97b60cfe866d621d1 |
While things may still take turn in favor of the dark matter hypothesis, the current situation is serious enough to consider the possibility that the popular paradigm might need to be amended in some way if not replaced altogether. The present paper seeks such a modification. Unlike other ideas such as Milgrom's MOND
{... | i | 323f6f63fe85d7a023bdfabce4a92551 |
The historic detection of gravitational waves (GWs) {{cite:5c89e105590e1e5c3691b967bc4642c0ce8ca282}} paved the way for precision GW astrophysics and black hole (BH) spectroscopy to develop at an unprecedented rate. The increase in sensitivity of ground-based interferometers, as well as the arrival of next generation s... | i | 63d06e12898fdc07e0ac3d9d3cc89590 |
where {{formula:895a73fa-24e8-4fff-a05e-3d351f7d75e9}} and {{formula:7e072ea7-6de9-44a2-b560-45ca5f5646ed}} .
For {{formula:6a9f8a74-6129-439e-8797-64062dc9f619}} , we present {{formula:8ec32d6b-eac0-4f3d-aed0-ce27b78c0b12}} in Table REF ,
where {{formula:53f3e613-cb79-4bea-b370-1813b945993d}} and {{formula:e977170e... | r | dd4d81408c7bac4f86cc55a4e02ea245 |
{{formula:957b96b4-6bc9-43ab-bf6f-bea21b4cc6b8}} violation plays an important role for the test of the Standard Model (SM) and extractions of the Cabibbo-Kobayashi-Maskawa (CKM) matrix. The processes of nonleptonic decays of {{formula:26d3caab-2e8e-40af-ac6b-eafa16acd8bb}} mesons provide us with opportunities for exp... | i | 233a36fab3abd5273b6405616b74fe1c |
As in the previous works ({{cite:3673c46511ab37dcd3b8238ca6ada9a253991363}} and {{cite:31aafa44fcaa6f4148c43bd2212ed269aa82cab2}}), we clearly see in Figure REF that the observed radio luminosity of the low luminous AGNs and microquasars can be explained by the magnetic power released by fast reconnection in the core ... | d | dc6805be706ba69648f54c767cba45c8 |
By Silvestre's strong maximum principle (see {{cite:714f23c9632937d5cd4a4b67f97af794303bfd51}}), we get {{formula:d5a92529-e704-43cd-8a01-c66c6d1c4eac}} in {{formula:16eee1b2-9f84-4134-912f-2e89969e7a10}} . Therefore,
{{formula:1dfc6b96-a3b1-439c-80fb-75311efe83fc}}
| r | 5cd7d3ad3a9eb7bef817eb1f2aa96545 |
where we use the superscript {{formula:aa407890-3668-46a8-a3b0-b3ae6617c4a1}} to denote the weights associated with the {{formula:61549cb5-b1b3-4abc-bc36-cd9ac1005f0d}}th layer, {{formula:7486e06a-baeb-4932-9f4e-0ca2371b1c7b}} represents the layernorm {{cite:e8ed2203389ea747595dd734a018f50cb0b1f40c}}.
| m | 8a10d7770ee786bfb5e568f1942c80d7 |
Bayesian methods have been recognized as a powerful paradigm for quantum state tomography {{cite:93ac2b0ae64438e0dcb45ec3674f42138b666bb0}}, that deal with uncertainty in meaningful and informative ways and are the most accurate approach with respect to the expected error (operational divergence) even with finite sampl... | i | 2f3380612b7ccd553edeb23f83343474 |
A major limitation of the framework of linear transition core MDP is the assumption of known feature maps {{formula:48aa089c-213d-4fec-b124-5f9d81f6ef15}} and {{formula:5aa42ea4-7c0a-4b01-800e-ede10d82e521}} . This allows studying the usefulness of meta learning for rapid learning in a newly encountered task. In empir... | d | d4ebcf7a4348112e95ab37c301195dc5 |
The slow-roll correction can also make the masses of the intermediate states time dependent, and thereby generates signals with scale-dependent frequencies and scale-dependent magnitudes {{cite:0c64657b26bc8854e58e31d94401be0f8056d952}}, {{cite:f02786a904a23c78007352e03a2671aaaaf22c3b}}. The phases in such scenarios ca... | d | fe5418ffbd20b0d1fa96738b9d470ee1 |
Approximate error (REF ) converges with the same {{formula:45df78a2-445f-49c9-bf39-309b830741d3}} p{{formula:e4912593-4a33-4005-a533-e2bfe2b6e6ff}} K12 (u - un) 0,{{formula:38f138c3-b1d6-4abf-a455-c1fa8bc3fe7e}} As stabilizations for the primal and mixed formulation, we use those defined in (REF ) and (REF ), respectiv... | r | e9e7815e886a6344f594b87f5f953f7e |
In order to highlight the potential of our method, it is necessary
to compare our results with those obtained in the previous works.
Traditionally, the angular diameter distances are derived from SZ
effect of galaxy clusters {{cite:0838c330699944710c2a8f0b774cf3c4511608ad}}, {{cite:b5a59ba7de316d045e67457a4b41326272d9b... | r | f0f5c586b812fd58275019ed6b3c1d3f |
The understanding that nonlocality can arise at different scales, leads to an even more challenging scenario that is the possibility for nonlocal interactions to occur and interact across dissimilar scales. It is immediate to see how this latter scenario involves the simultaneous presence of nonlocal and multiscale ela... | i | 7ccb4fc3f5d99c4bfff53c9c1662ebf4 |
We performed extensive experiments on the proposed algorithm. We compared the performance with the classical techniques such as NLM {{cite:07a8ff3dfdc2f8f4a88f03ca3fc968becb7b3dfa}}, BM3D {{cite:075b1dfc2675c2b56996483cee829c8ae4722633}}, K-SVD {{cite:bc4a11c06c2f1b9d3b0342f040688d8b4e1ab020}}, and the CoFiB {{cite:798... | r | f9af770da1d3bd3db95ac60f0d514873 |
Finally, in Table REF we show the resulting Information Transfer Rate (ITR) for the MFF, the EMF. The ITR measures the efficiency of the system, and it measured as bits/trial. It is computed using the following formulas {{cite:bf2cdfb00c4a9b86311edc4eb36e7258db726c50}}:
{{formula:607c05e5-b27e-416d-864b-f95b6f1cb184}}... | r | 65a763935fc8e18f95eb3066b2e75a39 |
Regarding saliency, each existing method mainly focuses on one of the following tasks –
i.e., eye-fixation prediction, image-based salient object detection and objectness
estimation. Among them, image-based salient object
detection {{cite:d07c575e078378dd52974af876399b46d21c441e}}, {{cite:b5cd0aefd5e8d873df25202169c7cf... | i | d5334314e29d726f8630dd520a839be9 |
About Eq. (REF ), we refer the reader to Section-4.3.1 of Ref. {{cite:94229619c89fb0b192093b27ab36abe453be06f6}} for further details.
| r | 409e3cd74449027e8369dd89be46cffb |
Deepwalk exploits local information obtained from truncated random walks to learn latent representations of vertices in a network by treating walks as the equivalent of sentences.
LINE optimizes a novel objective function that involves both the local and global network structures, and employs an edge-sampling algorit... | m | 2fcccecee49641a4afd687bf1000293f |
While our results and those of {{cite:00f636671b556f96f135e05ca2ea9039caff3864}} represent a step toward understanding the plausibility of such an algorithm, many questions remain, including how performance is affected in networks without weight sharing {{cite:39fe71b3c2201e2f81abaf3b0093b2d142551596}} and how to incor... | d | 5edb61ebfee39474482ca21d0f772353 |
By matching the AD model to the H{{formula:0ecbd616-7f9f-4f95-a702-94017c78b0dc}} broad emission line profile, we determine the inclination, inner and outer radii and additional ring radii. The inner radius is defined by matching the far red and blue wings of the observed line profile to the red wing of AD model line ... | m | 286f68ecd4693242680765381d3a8d75 |
Initially demonstrated in {{cite:5fa2643c91325b42a9776a62316029fd66d5acec}}, {{cite:2b9b2c9265a80912cf7d91eff5541e8305705dd8}}, quantum accelerometers based on cold atom interferometry generate high precision measurements with extremely low drift over a long time period {{cite:00675a461216b8e7d4a1bffdd49b38f7e3867729}}... | i | 2c10ee7815e543f94e0dac5cada0ed8b |
Deep learning models are both useful and challenging. Their utility is reflected in their increasing contributions to sophisticated tasks such as natural language processing {{cite:a24fb5da1ac024866602700d5f888531fddd3cb7}}, {{cite:42dca16e641a2cb1106658e26824f83c2b51ead9}}, computer vision {{cite:6e2424f0c5dff14288e4b... | i | dc7c5e10e761991c839cfb37bd6a6b41 |
In this section, we present the details of the numerical
method employed to solve the relativistic Boltzmann
equation in the Anderson-Witting relaxation time
approximation {{cite:05da43eacc1132b8b0595fa0f598784fb9462d39}}, {{cite:4a1c8178495afaaf61766afd5c562844a0ed31f0}}.
The method is inspired by the finite differenc... | m | a2910b0053568bb39759bc85f630efff |
In these years, the Hermitian higher-order topological insulator (HOTI){{cite:1c931ca5066e424e0287b287175483517c6e0664}}, {{cite:32952aac01c7b4793426e13076949b0c357afa99}}, {{cite:30ee01e0452f1f1fc147ed0df1abcdbf1827c061}}, {{cite:9c2e973906a0207c3812bd636d13971b78692e31}}, {{cite:cf2dc6a646a73d1d6f6ede21e247b211cf6948... | i | ca36021b5fb4ac7c8c4900785493d1e6 |
To solve a SDE problem, we apply the standard multilevel Monte Carlo method and regard the Taylor-Itô scheme as the discretization subroutine {{cite:b17d77b9e238eb083d44bed2956bfc49d2a951c3}}, {{cite:747f7e92cc50147e88d9a43ee7632b4aee262f34}}.
| m | ee73bea696eb237fc5221db5c3b18f00 |
The anomalous Hall effect in ferromagnetic conductor is considered to come from three different contributions, and the AHC can be expressed as {{formula:42a3e5d6-d287-44ef-bda7-cd5969decbba}} , where {{formula:79b09a6a-6ad4-473e-b7f6-4dc9efadc3c7}} is the intrinsic contribution, and {{formula:754e08d8-2c9a-46a9-91c3-b... | r | 085cf31b290bbb0c1133966f21823170 |
In this paper, we have shown an extension of the QGT for curved spaces in which the metric may depend on the parameters of the system. The derivation of the QMT was done in two different manners: One in a geometrical way extending the work of Provost and Vallee {{cite:a134bd1047e4a1ab3b1ca0d6840fa189d134a988}}, and the... | d | 1798fee7e2b75f0fdf674086b1ac2c34 |
where the sum of true positives and true negatives is divided by the sum of true positives, true negatives, false positives and false negatives. True positives (TP) are positive examples labeled correctly as positives. True negatives (TN) are negative examples labeled correctly as negative. False positives (FP) are neg... | r | 24e211fabc38cde270fc9c0fdc860e8e |
We compare DOTIN with previous pooling-based methods in Table REF . Here, we further clarify the connection and differences with similar methods gPool {{cite:ab5487ee34a5c9099140896b34b132f37840a39e}} and SAGPool {{cite:140f68d10db3994e914d6b303f1922bc2b4f9e08}}. Connection: All the three methods use attention methods... | m | 289a8d0ed14ee4c528ac8ef8252655ed |
Nekrasov's conjecture states that these partition functions give deformations of the Seiberg-Witten prepotentials for four-dimensional (4d) {{formula:cbcd3e65-5d60-4c2d-bbdc-26315592f42d}} supersymmetric gauge theories.
This conjecture is proven in Braverman-Etingof {{cite:5903b3df0f0d1de1bf80ff72a134e99c2411a5be}}, N... | i | f819fca1052b8073473a67707409bfdc |
Regarding the FreeSolv dataset, as the results shown in Table REF , in the training dataset our M_RMSE is worse than the one obtained from GC+BHO, however, in the results on validation and test datasets, our method are slightly better than GC+BHO. It should be noted that in terms of validation, these two results are ve... | r | 8525e9ae9f0f63927939b1863ae5974e |
where {{formula:73e56d49-c6cc-427e-ace0-0d9bae4492f9}} is the batch size, {{formula:1f8cdac0-83b1-4164-9c85-bf967f641045}} when the {{formula:a86cd609-3e94-4a8c-89c9-80629cd5b97d}} graph
(protein) is an enzyme and {{formula:36bcf92e-d019-41b4-a78b-5d27e1688cc1}} otherwise, {{formula:09421191-2af3-45ad-b301-54595975... | m | 72b23b53d0e1fecb8c2a4865e39b630b |
where {{formula:01e9d7d3-f1d5-4ea6-91c7-a39e62b06885}} is the magnitude of the pion three-momentum in the rest-frame of the {{formula:2e0c6be4-afc7-4f0c-b634-ec196433e47f}} .
The lifetime of the {{formula:4085c69c-e6a7-4bc7-b021-9773adc20011}} is chosen as {{formula:6c56f1cf-bf6e-4449-a941-5031e1de8a6a}} ,
the Wilso... | r | 34729dc21ec63296e5ba5414a3dbb7b3 |
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