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An important challenge in hadron physics is to understand the nature of excited nucleon resonances. These excitations are coupled to some meson-baryon and {{formula:5bedaf68-8b7f-4f89-a1d1-32bc83d0a418}} channels {{cite:5179e9578867a963b6122a9ba602f414c6aca08e}}, {{cite:e7d5c0f631dd75959bf5e91382f312bdb166c7d4}}. Exte... | i | c8ce5e395e43876da6fe7f9b94a0c960 |
Our approach is related to deformable convolution {{cite:649307182a7ef8765f427074027826171dd6d1f5}}, {{cite:ef85cda305b966ce91e83f63ed05490621c9cdcc}} and Non-local {{cite:bfd5fd0985b54d08685f0584f5ea0a649b92c1d0}}, but has several key differences:
| d | 1b753f0fbe42c5fcab1ff005016f96f4 |
However we know how to construct correctly the path integral
formalism only in the restricted case of canonical variables {{cite:ed82573efd5a2064de3b79156b50b953bc4cc301}}. At first sight the path integrals in terms of generalized
coordinates can be defined through the corresponding transformation.
But there is an opin... | i | b1805f9120df6a60ddcbf12a0a8e9d9f |
A semigroup {{formula:7dbd0e07-c114-436a-9301-0cec020f6097}} is an ordered semigroup if there is a partial order {{formula:2b931e53-ff27-4a78-afda-fc3d91a5b0ba}} on {{formula:922182d9-15ee-4753-8a5a-f72a590f912f}} such that, for any {{formula:594f3a46-15b1-42b3-b8ea-31c2efd03df1}} with {{formula:d902d671-c573-4614-... | r | 8cdae5f68c5e80f0df34c0d7dfe93b5d |
Several research directions seem appealing on the basis of these results. Scaling in object and scene complexity could be handled by incorporating object priors based on hierarchical shape decompositions or infinite mixtures of piecewise GPs. The explicit 3D scenes could be augmented with physical information, with kin... | d | 354defb73b20a60aa7e69f82075999e8 |
On the other hand, non-Hermitian systems sparked a great interest both in experimental and theoretical fields {{cite:b171e33f62356e874c4d4e03900070397a18722e}}, {{cite:05b4c0162785da2c21262eefad0a7bde9ae6d109}}, {{cite:ad66744477227502e3a907062f46048779c3421c}}, {{cite:45ce8a2bfadb45e89d0cde5720c2a74b65ef712c}}, {{cite... | i | 94da808103168f24e0c4ad98d5e8a68c |
In summary, we should have expected to have less confidence
in estimates of CIs of
{{formula:646b1c7e-4f76-41a6-a24d-6281b5650104}} at the outset of a EVD epidemic given process noise.
We hope that the current method, similar in intent to that of King et al. {{cite:79ee4ee4bffb2226b54ee2ff926442baa3f1cb58}},
provides ... | d | 3ab40ffb092565040a71e3182291248a |
(1) CCDN and the heatmap regression methods (HGs {{cite:e8cf7dad8f0889da427031265c83ea99e57036b1}}, SAN {{cite:5fc117aa50cbec8c5040100e553b564f085fd74d}}, Liu et al. {{cite:d534067f9b40b83a8be1b2ee787cb7dd63462c4b}} and LUVLi {{cite:181f72f3bf5ea4ce200c1a199264412f2a829f9e}}) enhance their robustness to the variations ... | r | 3b4103bdfa2475c51ac77c0bd55fd17a |
Our model is evaluated on robotic manipulation tasks - namely pick and place tasks - in simulation using multi-agent MuJoCo {{cite:0191f97433650694d925f1c647e32e4f78207162}} environments. Our evaluations investigate the following questions: (1) can our model perform new task instances (defined in REF ) previously unsee... | r | d53108e418894048f0b0f6c98db26390 |
In arithmetic statistics, other objects are frequently studied in this way. Given an ordering of the objects satisfying a Northcott property, one can ask for the asymptotic growth rate of the counting function
#{object order(object)X}
as {{formula:3e533f83-592b-4775-b284-e6960a685c33}} tends to {{formula:70de56b4-0a... | i | be78a55eeec115abb2360ac80f81685b |
We also want to highlight the importance of the principal tensor as reviewed in {{cite:aa577cd042bc720660bdff162fcba281de8965fb}}. Spacetimes
possessing a principal tensor are always algebraically special (type D). If they are vacuum solutions, then they
also have aligned fields: electromagnetic fields with the same co... | d | ff9e0b9551a8231b3a0307861fe7a653 |
ROS: A method to build a more balanced dataset by over-sampling the minority samples{{cite:6b79ee2526958fe833c773a970b990bb666fabc4}}.
| m | 51f72e53cdb3845f472e58acf8e80363 |
After the realization of quantized conductance on quantum point contact (QPC), Y-junction structures on modulation-doped heterostructures have been proposed and fabricated{{cite:4f9a471211026bf6948a7bb7eb69fba6e3eb04f5}}, {{cite:88ee031fbcc65f0677e38784a414dbe7249dcbc3}}, {{cite:a222abf951f98a0c5ccb66d4ea994dc00d876c71... | d | e502e5ac21fa5df673f6b88a69614f6c |
First of all, if we willingly forgo covariance, then the light-front approach {{cite:57010ee00f8aeec9cdd7461f624b0ade7241f5cd}}, {{cite:605d6f2a32db5fe8318d3807799fd3b0910f46be}}, {{cite:8865ba1a33f9ccd5097ea3ea4b62747efdcb6232}}, {{cite:c0840c9e22786a138b99f4ee1832042eb6ecb7cd}}, {{cite:b9ae666df24a78804f93ba07b48156... | i | d92bca62f899777c41e4f52911f97c21 |
The dual norm is used to specify a suitable choice of the regularization parameter {{formula:18bde8f9-7812-43de-9fc9-c23ba280e65f}} . In particular, according to {{cite:2d99582b036ce5ee5bbae1f9d12a759541c2d0b0}}, {{cite:02334b88512920064654d8fd5665418032fcbd97}}, if we consider any optimal solution {{formula:26d02657-9... | r | 39421cf6862d7e40b5b96e35a875991d |
We assume the reader's acquaintance with basic notions and results of the theory of inverse semigroups. All these can be found in the early chapters of the monographs {{cite:6ae6be46020338daeec1a7a9503a28d2c36132e0}}, {{cite:939258ff53e53dbe9588c93e93cbd5a902ae759f}}.
| r | afcfc6315423a68c8ea43214b47e26b2 |
Point set registration is a fundamental problem that has wide applications in computer vision {{cite:f2ec4f0dad8e15c05d5f9b47715c7b9c3bd4e799}}, robotics {{cite:0be840a4aeb61247e95482048989b5e7c686c821}}, computer graphics {{cite:543d4ceecc47916cf76a7d7f159b7dd180e9b914}}, medical image analysis {{cite:b88bc0ac207dc088... | i | bbd1c11423b71e57b4d2ab69b0f09194 |
Also in {{cite:422701780a7ee689e2f657f423820bcc540107db}} the singularities of the 6-point ziggurat were determined and found to comprise precisely those encoded in the “hexagon symbol alphabet” which is expected to suffice for expressing all 6-point amplitudes in SYM theory. Consequently, no massless planar 6-point Fe... | i | 37d9dfd26982def88b03f8b0866d6a93 |
We implemented the Fourier recurrent unit in Tensorflow {{cite:baecfa327cc2ce638bc18dab9fc47252802a84ed}}
and used the standard implementation of BasicRNNCell and BasicLSTMCell for RNN and LSTM, respectively.
We also used the released source code of SRU {{cite:c5602d50e48c5f797524f632322522cbae04d1e0}} and used the def... | r | 9600553718c7724d2ee0ac8bb41076cc |
There are many network-based optimization problems that fall under the category of linear inequality constrained optimization, one of such problems is distributed support vector machines{{cite:06c8e1609e33058dd76197270eff6ecdd9445b19}}, {{cite:7394cf652554749f77ebd72d23c1f33725351fd3}} which is solved in a distributed ... | d | b50bace4b5ab374656d214d7a210253e |
Each {{formula:548759b4-8c34-4c44-ab6d-bd85c769ae76}} is {{formula:ebf0ce03-4c26-4179-8649-16dc53b8ab60}} -subgaussian (because Bernoulli), and is conditionally independent of the other random variables conditioned and on {{formula:f1e1e60d-7217-4052-a73c-4d9843286bd9}} and {{formula:ecb94892-b57b-4ce4-aa4d-19fd73115... | r | 6e2a85bb32bac421316556748897ce35 |
Related Globally Normalized Models
There is a rich literature on the applications of globally normalized
models {{cite:b9c012756d0f665a3f7a0c97f73b456ce47abe0a}}, {{cite:236961d9d9a0537f6030820ebc1d94647cb75d55}}, {{cite:e4b250d0bbf84f2231848bebb609449cb0a47ed0}}, {{cite:96f98931574616367042bf5788c4d0f07e34829e}} as... | d | 5cb3743ced5bb5f5f3038a6773b707d1 |
We finally comment on the consequences of our finding of the excess of the speed
of sound over the conformal bound for the modeling of the EoS of neutron stars.
With increasing amount of data on the masses and radii of the observed neutron stars
in the Universe, several groups started to extract information on the QCD
... | d | e39a04211e5f5be21843ef4d8084964c |
While the use of a Wald-type test statistic is reasonable for linear regression, for other regression models there are compelling reasons, at least in low dimensions, for preferring a likelihood ratio statistic. Indeed, the Wald statistic is often justified on the basis that it locally approximates the logarithm of the... | d | baceedae899d16e516dbb9c204fc9ab0 |
The new training and learning strategies aim to gradually improve the quality of pseudo labels during training. For example, Bai et al. {{cite:38e9edac7d732543b35e25e628e9bcf245c5d066}} proposed an iterative training strategy, in which the network is first trained on labeled data, and then it predicts pseudo labels for... | m | 52bb89954377c795f83fccdd487b5d61 |
Most GNNs (such as {{cite:bb13ce57156126e7441f14ad45fcc313a4a1b46a}}, {{cite:f9d669f7c671547379124351c9a6c363ad5a367b}}, {{cite:b5226053340e329cf76bf8a426e4c1a1b42b8eb1}}, {{cite:6e1093f00444c35c4f16ef34bf7b0d5fc294c9ca}}, {{cite:5f11fcccfdd9a0f7b98255868a503d17da98bd8a}}, {{cite:b8dcefec33e2896a5af3308f19fed71971e933a... | i | f3cd7969d7954c9b0d6a6570f92c2508 |
Our approach enjoys efficiency as the additional computational cost stems only from passing the intermediate features through the decoder.
Algorithmic complexity is kept simple as perturbations are randomly sampled within a moving range that is determined by a linear curriculum learning {{cite:8bc38cc3bde86da44e7fea1b1... | i | 96cc81b746ef8c5580a95b1d43b15440 |
The following is a paraphrasing of Lemma 8 in {{cite:ad2a2234f0a1395d2283a88ef838c6ca38a7f9ad}} and is used in multiple proofs.
| d | bc8319200f01b01884c34c68ead7e283 |
Learning the similarity metrics between arbitrary images is a fundamental problem for a variety of tasks, such as image retrieval {{cite:8782ab1433dc116e3678f70cd563c7dc7ecf4de0}}, verification {{cite:d48618860ba2a09205eadf100e5a1dfa8d8f8673}}, {{cite:177ba44015e8ce5220888723d8e5198d98bc3fc5}}, localization {{cite:8331... | i | 88a1cf7fd491ce31b40a261de49f7aa5 |
For the Carlini&Wagner (C&W) method {{cite:9c935ed68ecfe59255c4cd2867f298ebcad1c3e9}} has three versions, an {{formula:86dd551c-f0c8-4764-ad66-2be73abeeb77}} , an {{formula:a6f9b6a8-fa61-4fb0-86a7-49bf0218aa1d}} and an {{formula:8a8e14d4-f014-480c-9780-1eea77436e63}} attack. We will employ the most commonly used {{fo... | m | 56e2e76b3a132bc3dbc28a46ddd0a418 |
Both intra- and inter-class distances are normalized using the Frobenius norm to eliminate the difference caused by the scale of the node embedding matrix.
By the definition of over-smoothing in {{cite:6dfa5704e67de0b4aad952d9bff4488a464a43c0}}, the distance between intra- and inter-class pairwise distance should be de... | r | d70a8aeb3bb274369ebf7f91d532bdb9 |
We propose a novel factorized neural rendering framework that learns to encode outdoor scenes from Internet photo collection, which enables controllable scene re-rendering with user-desired lighting condition and photo extrapolation or extrapolated 3D photo generation that extends a narrow-view image to a broaden field... | m | 96683884186049c17d1ea65f78eee181 |
The effects of photoionisation may be diminished in our simulations also because we consider particularly dense regions. In relation to this we find that ionising feedback has greater impact in Region 2, in terms of the star formation rate, and in Figure REF we can see regions which are highly disrupted by feedback. P... | d | 6004001e40ac90019f979b16c6f48d8d |
This paper is organized as follows. In section II, we introduce our
notations and equations in (3+1)D. We treat the QCD and QED gauge
interactions in a single U(3) framework which includes both the
subgroups of QCD SU(3) gauge interaction and the QED U(1) gauge
interaction with different coupling constants, for our pro... | i | 8ff1f34c9d993818373a45faa021ce0b |
In the end, we compare baseline methods and existing TL methods with our input-dependent skip connection method. Result can be seen in Table REF . We can observe that although our proposed method utilizes a model pre-trained on partially music-related datasets, AudioSet and ImageNet, it outperforms existing models pre-... | d | eccad7c7aa375dd35d36facc56014d6a |
Another widely used marginal contribution-based method is the Shapley value {{cite:5762bfabc05b7a83077c84e89644d25369e78716}}, {{cite:129c990f680d337fee237089502c3d32c120c9dd}}. It summarizes the impact of one feature by taking a simple average across all marginal contributions. To be more specific, the Shapley value i... | m | aacbee279a5d75882a32a1a0c5ec2cd0 |
Using the fixed effects covariates, fit CART algorithm {{cite:62a4534ac260800688f4df0785040b65af703ac9}} for {{formula:76b5f34b-db11-4c4a-a52e-30b38c4dcc00}} and extract {{formula:f15aa531-8b31-45aa-97ad-95e7d1d4df33}} from the fitted tree.
Estimate {{formula:9806f788-95d5-4c70-b37e-45def80d643c}} {{formula:197f3e... | m | 665cb120e8b9f6406c7e87fcf93560ab |
{{cite:a6c0d3c408b8f8253e856b2d2f671918fb295246}} proposed using Monte Carlo dropout to estimate predictive uncertainty by using dropout at test time. There has been work on approximate Bayesian interpretation of dropout {{cite:a6c0d3c408b8f8253e856b2d2f671918fb295246}}, {{cite:8f1ada8baf5a06046228e7745e7de09f1ba37dde}... | d | 3cf0aa63a894451f5d970413eb9c57ad |
Moreover, it could be interesting to identify the {{formula:56e48c5c-cfe7-4cd5-9ba8-a93e301bbdd3}} and {{formula:698a1693-0cb4-4b97-b4f6-e8eaf2893b3d}} SCFTs dual to the {{formula:46efd4ef-5686-4452-9b8f-0fb0f1c6f73e}} vacua and the two-dimensional conformal fixed points in the IR as well as the associated RG flows ... | d | 5ad459cc08c61b54437757a41e9cc852 |
the scalar functions {{formula:3cdfbfb0-7925-4d58-af78-2f2d9299e772}} and {{formula:f1fb207e-6b04-43de-8802-0ab2862ed9c0}} are provided in Appendices B and C of Ref. {{cite:36c264ecc8be1897fa4892e9ecc98a3865a55b3a}}, respectively. Thus, the only missing inputs are the electromagnetic form factors (EFFs), {{formula:1c... | i | 137c2f40bac46497929aa5be9e965a37 |
Related work. RAVI builds on and generalizes
recent work from both the Monte Carlo and variational
inference literatures. For example, {{cite:d0c091826a84f7715b9657aab1336c0917fd5398}} and {{cite:536625e781fb7eef158921de6d65ce6065fe0a84}} showed how
auxiliary variables could be used to
construct and optimize variationa... | d | 3d73d4c94e814a41153570243a027fde |
The connection to coarse graining has implications for the generalization puzzle.
First only the relevant modes given by the large singular values need to be retained, implying a dramatic reduction in the
number of parameters, as pointed out in {{cite:0dca8e5ba146bc4a34bf41f8965ee5644f6525b8}}.
Second, relevant modes o... | d | eba2f12658b7c8435e5f1ac83e7edc2b |
Our results show that any family of quantum circuits that both admits a classical poly-box and satisfies the poly-sparsity condition is in the complexity class SampP {{cite:4566a4735c59aa693d7bb4458d3a4872cb37c36e}}. In light of the multiple known constructions of poly-boxes (see Refs. {{cite:4ff82b8f7066308b5609c0b7bf... | d | c9c0ef95a42d482831f66fecedaa36b1 |
Besides the case of {{formula:8be2137f-a76d-42bc-809b-e7e59eb94e76}} which has been studied in the previous works, we also explore the possible evolution of {{formula:4eee1be7-cc6b-4950-b572-2335cf7e9d25}} with the parametrization {{formula:7cfad895-78b5-443a-a68b-cbf96ad49fbe}} . The previous studies have conducted ... | i | f9c1dfb58c55331bfc71ed6b0b13b432 |
Meanwhile, tensor datasets are often high-dimensional, i.e., the ambient data dimension is substantially bigger than the sample size. It is thus crucial to exploit the hidden low-dimensional structures from the datasets to facilitate the follow-up analyses. In tensor data analysis, low-rankness is among the most common... | i | 7b710fb99139c416145b8678179be5d3 |
Understanding the origins of giant planets remains elusive. Radial velocity surveys
have found giant planets to exist around roughly 10% of Sun-like stars {{cite:45d8fe3ba2e5d9b9e01ee2cfcc3761626a7e97bf}}, {{cite:44b79369fe9cc04ef0480387beb571e7cf4c1021}}. However, only {{formula:6eafaf89-b0ca-41d6-a1de-ae6045514c45}} ... | i | af9da310abd5e0650261c95d329ff181 |
The F-test offers a potentially powerful way to
distinguish when it is necessary to use a more complicated two-component model. The
F-test can compare the {{formula:68cbad79-91cc-4297-93d7-55ea35c74135}} values
among nested linear models with Gaussian errors {{cite:25c258a590199484a554493e066aedd3131835e1}}. Although ... | d | 1e7c2663c781ecfac736af7d06379197 |
Under the constant flow of liquid into the container a drastic change in the crystal facet kinetics is seen from the jump-like singularity of the derivative in the {{formula:6766f073-3734-469e-ae79-e829fc1d681c}} records. From the experimental data it follows that the transition from the slow to the fast kinetics occu... | m | d132b0f2231f7ad8d99ec255795d01f9 |
Observations indicated on even more energetic phenomena which
might occur in the GC. Thus, a hot plasma with the temperature
about 10 keV was found in the GC which can be heated if there are
sources with a power {{formula:e5fdedf4-d3a7-4594-a99f-bac43d4a1d35}} erg s{{formula:4c8a8f04-90ee-4e31-96f9-b3094995806a}} (se... | i | 40aaec07135d423c73b0c6d37b45b811 |
This approach differs from other methods which use neural networks to generate painting-like images, such as style transfer {{cite:d80ef69276a7a7ac168adadd41715da739a5018f}} or GANs{{cite:205b545aa8917e1a19b25b634964fda4c8ff0a0d}}, which essentially map textures across pixel grids and do not model the physical process ... | i | 3ef50ef7891ccd6456a1ac31f1b5ee13 |
We will explain precisely what this means in Section , but vaguely, congested transport is a branch of optimal transport theory that seeks to model the optimal flow of mass under the effects of congestion. That is, like moving through a busy city, the concentration of mass in a region affects the minimal time required ... | i | af69fb329790fbb5d03f8b8edd3f4e99 |
Low convergence represents a major problem for triplet-based losses. Besides, given a set of samples, it is not trivial to find positive or negative instances to use as hard pairs, nor is it easy to fine-tune the margin that separates them {{cite:0efb8ecad54faf6a423768b0ebcda037088b9cda}}. Notwithstanding, tripled-base... | i | 700763808891285d6461cb17339b80dd |
The evaluated baselines are the classic 8-PA {{cite:12b2d04820213cb622689001ac71df6470dd879c}} in spherical projection and the GSM solution {{cite:e5483ba099cf61b0413ea64c03b953e641346d15}}. For the former, we compare with our normalized approach using the optimization (REF ), which we refer to as {{formula:59485f5e-07... | r | 5a76d81cef124dee764c05019366cf27 |
The absorption probability {{formula:582c361a-76e1-420a-96a4-3ae8176aa78b}} can be expressed in terms of the total {{formula:988c3e65-d806-4ecd-9379-fd4c4a2291c5}} reaction cross section
{{formula:23461c73-437d-4227-84ca-c3d69801b486}} {{cite:f5d2e3c5b4e5d296ede247d2a1924d717b780e1f}} and the integrated skin density... | m | dc44084514e2997f86d87a9153f2ba89 |
The impending realization of scalable quantum computers has posed a great challenge for modern public key cryptosystems. As Shor's quantum algorithm {{cite:5a3980f2419dd1a8369b9d537eb2b38bc404c3b0}} can solve the prime factorization and discrete logarithm problems in polynomial time, conventional public-key cryptosyste... | i | b87c5c13613f8f878676a85d671b7ca9 |
The neural network controlling the robot is based on the C. elegans connectome. The neurons in the nervous system of the worm can be divided into three categories according to their neuronal structural and functional properties: sensory neurons, interneurons and motor neurons {{cite:fccacb755f08b0b988291c016304817bc449... | r | f64050f8f2a1c714650a59f33d0f0518 |
While previous work has already sought to obtain more robust VAEs empirically {{cite:af45daf40bd9512f8f63c3b5f9f9d5cafb9376bf}}, {{cite:3dd1c4c705d6890e7b06578215fc19de593a7055}}, {{cite:b79dc0d53c51f8df0d359e61222d96b4eaa87a20}},
this work lacks formal guarantees.
This is a meaningful worry because in other model clas... | i | 87716e8af3f0be3f84d71a6a2c1237e8 |
Metal hydrides have always been considered ideal
candidates for high-temperature (high-{{formula:83790254-adef-439a-ab6d-36431e2b06b5}} )
superconductors owing to their ultrahigh phonon
vibration frequency. {{cite:63175145c62701935302ba79d5ad840ae9669592}}, {{cite:add677a6d283919d0cbf6d7948dd721d9d030e50}}
However, rea... | i | 87fea858887762ffdc38df84b59221d6 |
Despite the fact that these methods including AutoFE have achieved promising results in tabular data applications, they mainly focus on feature interactions, no matter by hand-craft crossing existing features {{cite:50a5c0af24ea049dbf9df5bbc2e987f6a104cc48}}, {{cite:6f2831a62698a635eab991010586299fb137469e}} or automat... | i | c789d7bce79d2eb8f702811cc0aeedba |
Previous methods: CMN{{cite:298074f8ce9d67907cd91b772f3bdfbe73c743ac}}, DialogueRNN {{cite:95e11061049f47c73ed29c4798282af3615d7983}}, HiGRU{{cite:6096303146b1e06f58fbe1aceb7129cf97f121dc}}, DialogueGCN{{cite:0f8570d1dab1427a9153e1c8240de28bbcb8c2f1}}, TL-ERC{{cite:52aef3a931dc07a14786b995c454edc93ffbc114}},
and KET {{... | m | 80e923f33ffce11a04a4094c1e906d29 |
To obtain a more comprehensive picture of apparent robustness we start from the rigorous evaluation methodology used by {{cite:17f372ee0baf92294c09c6106e30387ffe34c9d6}}, {{cite:5652a09d03cf9ea8d6cbf5af7d468bbeba23946c}}. We perform untargeted PGD attacks with 100 steps and 10 randomised restarts, as well as multi-targ... | m | d7ffa95ca0892602a4a904746ba14018 |
Much mathematical study of matrix recovery
{{cite:906105e0be76f4949a3d06bd3fc604ba706dc9db}}, {{cite:30e0cc15418ad7e90882d313a795bafb7111dc63}}, {{cite:61f1c0003086a053e97ad6df8233238e3965e39a}}, {{cite:b7055b04e888401963c78d303209710b4f3cde75}}
has focused on providing rigorous bounds which show the existence
of a reg... | d | be9d77f845f70920a6ca30cb2aaf68e1 |
A similar problem, often referred to as convex integration, consists in finding such functions by only specifying some subgradients but no function values; see {{cite:33a2d28b029774fd373143068d18bc5c70b0c9a2}}; for the case where {{formula:a683fca3-085f-46b9-9cac-26760af1df25}} is the class of (closed and proper) conv... | r | 19887966321b85e7a0e920c1eb63e0cd |
Comparison with DMC {{cite:66c12408f6e0185989e7b85660e0e72f37508b75}}:
In the process of incrementally learning a new set of classes, Deep Model Consolidation (DMC) {{cite:66c12408f6e0185989e7b85660e0e72f37508b75}} trains a new object detector just for these classes as the first step. Next, a third object detector is t... | d | 31dab80fb80977ff4e29c400ab9e5542 |
Even though the Bayesian approach to statistical inference is extremely beneficial, some challenges remain. In particular, we recommend consider alternative inference methods in order to account for “big data”, which is currently an active research area in computational statistics (e.g., variational methods). See for e... | d | 46ac1b0d7541baf731e9257664a7c345 |
There are two main lines of research to train DCNNs for face recognition. Those that train a multi-class classifier which can separate different identities in the training set, such by using a softmax classifier {{cite:25ceaf7511822fed5acbb24e4aec5d0fbdaadd8d}}, {{cite:7b9a0d519017b6788fdf949962e13c406d9b0d56}}, {{cite... | i | f250c045f2278540d35fd605f837517d |
To further investigate the effectiveness of LD3, we performed the “Friedman test with Nemenyi post-hoc analysis" in which we evaluate the statistical significance of our results, which is presented in Figure REF . We applied the two-tailed Nemenyi test to find our critical distance for Nemenyi Significance. Our critica... | r | 1f359e2e424e72378598c22ff35efb1b |
To the best of our knowledge, the presented approach is the first to address stereo-endoscopic scene transformation for minimally-invasive surgical training. In this paper, we propose a novel cross domain conditioning GAN, which is superior in synthesizing consistent and more realistic stereo data in comparison to the ... | d | 8b8be62004058e98a21b01781bdda136 |
In this section, we provide additional results on KITTI {{cite:b67ecaa9d15a037e90926385564d0c09ea851290}} and iBims-1 {{cite:34e4423fe4ac1c5741626956ab599774b9954575}} datasets. KITTI is an outdoor depth estimation dataset and iBims-1 is an indoor dataset.
| r | c8b3f00f46035ad14eb92c196d1d70ab |
In this section we obtain some auxiliary results concerning Banach lattices
which will be used in the sequel. Let {{formula:9f1859ce-beec-42f5-96e1-9044974ad23f}} be a (real) Banach lattice with dual Banach lattice {{formula:78e811a2-c514-4f73-a745-dbb735ecab3f}} . For the
general theory of Banach lattices, we refer t... | r | dbfd0c434e0bb9a355bc652e6fd4cb9d |
The second issue is that there is a need to use the inverse observation error covariance matrix ({{formula:d09e8ac0-a52b-4fdb-8001-fe98dcbd2bb0}} ) in the computations. The most commonly used observation uncertainty diagnosis techniques provide an estimate of the observation error covariance matrix itself rather than i... | i | c77f3fb57554d9abf48b24cee753b0ba |
R package Mclust {{cite:6c07f9914df61eeef2231316e0d976a49877cca1}} from R{{cite:6b556217675de6dff91a72b5619a4d0715185b7f}} has been used for the model-based clustering, which allows modelling of data as a Gaussian finite mixture with different covariance structures as well as different numbers of mixture components. Ea... | m | 93ff5bd9a042d7ff8fa42e872e0206b5 |
These findings mean that the micron-sized domain of CrNb{{formula:6fe07327-2ee1-4809-b9dc-2e6906b9f157}} S{{formula:07e1f2ea-f86c-4122-9a74-43db5fa321b6}} , in which the DB lattice is excited, is a system where areas of stored energy are linked to regions of transverse spin accumulation. As such, there arises a strictl... | r | 1d6be5aff84a072ab923bbc361404809 |
Section provides the simple derivation of expressions
[see Eq. (REF ) for the case {{formula:37ab6e08-8cfa-42fe-88fa-54a549347c88}} and
Eq. (REF ) for the case {{formula:3c6891c2-9628-4055-b88c-872d43ba396f}} ] for the Středa-like term
{{formula:ca85c58e-dc98-463a-935f-c10a46a46a41}} (REF ) of the anomalous Hall con... | r | f1ebcf4546ed591c7120d35be0d8174a |
The three-dimensional time dependent GPE modeling the dynamics of a BEC is represented by {{cite:24e9ad63644a01af8bc172d351d53f1413387605}}, {{cite:836948836b9e7dae4501da1a307fb0bfb8d04ac2}}, {{cite:ef8d95ce1261be95b08a90c5a6115270c5496c73}}, {{cite:41d23f5718578bb2e2f113a89b969441a9c31237}}
{{formula:2fecf390-365c-44d... | m | 14d3f9b283d25f63f5753af900070ef8 |
Recall that two matrices are cospectral if they have the same spectra.
We conclude this section by proving that a symmetric doubly stochastic matrix that is DS in {{formula:72295c39-202a-466e-a2eb-d674a06dd0cd}} may be cospectral to another element of {{formula:5da46d0b-30f8-453c-98ea-f0c9eaabde69}} But first, we nee... | r | 7197cd22bb44d37308bcb713ca712dfd |
In this section, we first introduce our proposed pre-trained grapheme model GBERT in Section REF . Then, we show the details of fine-tuning GBERT for G2P in Section REF and the details of fusing GBERT into the Transformer-based G2P model {{cite:ff4d3d52ed98dca1e0a91d5a9ef4d7933abe6740}} in Section REF .
| m | 56912d10f8613e5612cf417b5d7d70a7 |
Since a star {{formula:4e413b37-e9a5-4abe-ac4b-ca21416b2dca}} is a tree {{formula:82e895e4-f14b-4e45-90a5-6e93c8043309}} with {{formula:d1ed5bba-5d58-4e72-8430-85c58b96f5f8}} and any odd-ballooning of {{formula:53a10ba6-9325-4f27-9af3-32ac75cb4dd2}} is good, one can see
Theorem REF generalizes the results obtained... | i | fd7b7aecb516e3a881b6e6e90b6c6c37 |
We first check prior defenses that examine model traits, such as the model's test accuracy and l2-norm.
Note, due to the non-i.i.d.-ness of data, federated learning is designed to accept updates that appear slightly different (i.e., updates under a threshold). For test accuracy, we assume a threshold of 10%, the same a... | m | a86bec54c6bb8352495894a34a34596d |
Bootstrapping necessarily involves producing repeated observations
of the effect variable {{formula:c75bb983-3272-4374-a323-4c1b20520346}} . In some applications this
is problematic. For example, given an observational sample, we may
want to test the performance of a causal predictor by bootstrapping
multiple intervent... | d | ef182b01615e9faf14c40e78bf077541 |
The idea that the central nervous system may operate in (or near) a critical condition has been suggested in the past, and may have computational advantages {{cite:24bab07684afe650279ea575df8b6b695751f4c8}}, {{cite:c154a7d9c5c9b7e34a14176f845e735ccdb3172c}}, {{cite:e5d3653c1582745ab7e3400e0bbc05bb030f8ded}}. However, t... | d | 3bd5d6832ed34abba6806df522bac4b2 |
We work in the {{formula:d86b27f2-f1e9-4774-86e7-457b59616e13}} -electron tight binding approximation. Intra-layer and inter-layer hopping parameters {{formula:ee1876fc-9e34-4634-a934-27297f9584a4}} eV and {{formula:08a54b7f-0f18-45c7-ad4e-1f358e52b7f2}} eV are used, respectively {{cite:6d88322c9c401595be13375fd5da94... | m | 7a05714479c6dc3affed3825f8569f1b |
Throughout this paper, we have established a set of theories that
generalise self-dual Yang-Mills and gravity. The momentum space
equation for each theory contains a manifest product of structure
constants associated with colour and / or kinematic algebras, thus
allowing theories within the set to be related via the do... | r | 04d3b3142d7c71c3ff719557a8bdc5ad |
We have considered here only linear RNN and LDS models. Non-linear low-rank RNNs without noise can be directly reduced to non-linear latent dynamics with linear observations following the same mapping as in Section 4 {{cite:394403a991ff580d6f3ad0902c3969052d68d3a8}}, {{cite:ea01940ed746b61721b0e5089907a5c549f49d18}}, {... | d | f5864ca6629a8d97d02f6df7ed602c49 |
Finally, we propose a double-backward propagation mechanism to implement our framework in an end-to-end manner. Most WSSS methods require multiple stages, involving multiple models with different pipelines and tweaks, making them hard to train and implement.
Although the existing end-to-end approaches
{{cite:bed587b0b7... | i | 512d03db780a9ee24b3c77b3af1389e8 |
The primary difficulty is deriving the gradient estimate.
It is pretty hard to prove the gradient bound for general fully non-linear elliptic equations
on curved complex manifolds.
The blow-up argument is an alternative approach to deriving gradient estimate, as shown
by Chen {{cite:adbd6fd6043f2c5537e556657b6c50c97159... | r | 28ac72bd89a8ff17d523e66505b5ed5c |
In the following, we present numerical results for both BP and SMP decoding. The results, provided in terms of block error rates for {{formula:ee5125dd-2ca9-40f5-9968-a676b1d46e23}} regular nonbinary LDPC codes of length 256 and 2048 symbols, are obtained via Monte Carlo simulations. The codes parity-check matrices ha... | r | eb726a99f4a4f49ae40e049d0756a238 |
In addition to phenomenological expansions of the quark model to exotics, current non-relativistic effective field theories and lattice QCD calculations are also included in theoretical methodologies {{cite:6cae35a9e3565a3e3c9bab279f311823fa9deba6}}, {{cite:058e8d3234173d84bf3e3e5a18f35a6069ee5c6c}}, {{cite:1f438213e5d... | i | 6220336ba3827364e19c6d923f51abd8 |
We introduce an extension of SpotTune {{cite:38031c8c10c5f6fecad4a15ad5dba9a171ec264c}} on the supervised DA for medical image segmentation called SpotTUnet. SpotTUnet consists of two copies of the main (segmentation) network and a policy network (see Fig. REF ). The main network is pretrained on the Source domain and ... | m | 6678be92318179df6990a17a62aafd6b |
Computing the fourth RV moment did require to recourse to the Weingarten calculus, whose apparatus, arguably demanding for the neophyte, turned out decisive for the pursuit of our objective. One may reasonably hope that future developments along that line will enrich the present results, replacing in particular the mec... | d | 722b16898d0803d9fddcb28ab404c1dc |
In contrast, the fact that the unobservable factors under scrutiny, like personality, economic preferences, family background, political orientation are not robust predictors of link formation in the students' networks contradict others studies (e.g. {{cite:575e194385ebc22998eccd09e1dcf140a5017058}}, {{cite:e0d2d15bbb8... | d | 1587a887c168c8a79181a0302d0e9a52 |
For {{formula:1ac30913-d741-4204-943c-5d63356627cb}} , define
{{formula:37ce927c-3303-4aa0-9cf0-5669e955f5be}}
where
{{formula:1280440a-862e-4c25-a19c-a87428b3e7f3}}
denotes the gradient operator.
Obviously,
{{formula:8bf975ab-bea9-4a57-a548-64ddf058100d}}
Then, from the Stokes' theorem, we get
{{formula:169af89b-9b... | r | 7aa7620178aed7899fe0a140eed00e80 |
From this, we see that the dynamics of the RG flow, in each of the directions of K-space defined by the Koopman modes, is determined by the magnitude its corresponding {{formula:519ed6a2-1010-48cf-af72-08b2c1a3d6be}} {{cite:1a4a67172acf0d6b74eeae72feda9481ded0db42}}. While the accurate computation of the Koopman modes... | d | d4295f864afd3b1d4cb75caa3e01ae15 |
Interestingly enough, the mass of {{formula:6c75e210-73f2-402e-9f51-72398b8a0188}} possibly falls in the {{formula:2d7fcaa5-2cbb-4582-896e-10835a54806a}} GeV range. A mild excess in the {{formula:291a3856-c925-4230-ae13-f115915c3f98}} channel in this mass range was observed at LEP {{cite:507759d6e343d82f9340b1555ef5... | r | 11fb72cf8d51934b3a8bb0753b6f9dd9 |
with {{formula:9e6b6416-f6d1-4d68-a8eb-6f470790d48a}} . The equations (REF )-(), with the requirement that {{formula:8c783733-df8c-4141-8192-c5503d68c0a1}} and {{formula:71346230-c629-400f-ba0a-897513dd0d0f}} , are equivalent to the statement that {{formula:66d0af9f-2e70-40b7-9b86-e2ab6e5f3051}} is a transmission eig... | i | fbf4f5269ad2f74d57042c2b5649a551 |
Although subject to variability, its faintness could also be related to the young age of the radio jet. Indeed the steep radio spectrum of the source and the presence of a turnover at a few GHz in the rest frame are typical features of compact radio jets in their first expanding phases {{cite:e442f3276b839840026e5f8167... | d | 5f2744be51308206e1bee0366cab9ae4 |
In this paper, we present a novel self-supervised deep-learning-based algorithm to predict the depth map from a single 360° image. Our work is inspired by SfMLearner {{cite:299c2eedac060b49e8ee3c5c497b01d5989ab94b}} and its 360° extension {{cite:8cf785749ec9f2a12a1b76a0fd45d290dd5f6608}}, however we don't decompose the... | i | 2f6196f7dcb9b8e059a36476fdd0c3bd |
It is well established by neutrino oscillation data (NOD) that the neutrinos have a non-zero mass while in the SM they are massless. A mechanism is therefore needed to generate the masses {{cite:bf0613bf2f6114b29a54e150b54b5046406b8f8f}}, {{cite:24af1ba679b40a3cdb85f2b9c3e521ec0238b61c}}. The neutrinos are not only mas... | i | 9698290f04724068dba240e316b81741 |
{{cite:15c5ca8a9cdec2db853316aaaaa2eb22750f96d0}} provided theoretical proof for hard debias {{cite:775d42ab0c289f95e683b50828d539eca5ca8817}} and discussed the theoretical flaws in WEAT by showing that it systematically overestimates gender bias in word embeddings. The authors presented an alternate gender bias measur... | m | 5190fa279f027a6a5ffd540aa19e54a8 |
According to the principle of maximum entropy, {{cite:090943f061f94fc8fc22391300d6d212cb36410a}}
the distribution with maximal entropy best represents the current
state of knowledge (i.e., {{formula:47c1d5df-d71a-47e8-b856-9fec756a948c}} ) when equations
REF , REF and the normalization constraint
{{formula:fb3e85c2-f8... | m | 38e2de4d6e05237b52e98a1081048cf0 |
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