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We compare our DeCoNASNet with six lightweight networks (SRCNN {{cite:3f18b38e576c155675821f60c5d296221eee5caf}}, VDSR {{cite:647097b617dd289db1e32f5d1d34b0cc9ed1d78d}}, MemNet {{cite:f8c487ea1a1b7d2c271bdd02531cdf5ae2d90387}}, LapSRN {{cite:414ac2c530cff4142019238c9530818c758e1f4f}}, SelNet {{cite:b00b74e944fb3447cbe0... | m | d1f2fdafb02dd57db122be3c5b09808e |
In this work, we predicted M1 radiative decay widths of strange and charmed baryons in SQCS using isospin-broken effective quark masses from EMS as well as screening of quark charge. We estimated isospin splitting, masses, magnetic, and transition moments up to charm baryons utilizing the inputs listed in Table REF an... | r | c3ea636fffb0cd39699ba22d98a33dad |
Traditional methods mainly rely on hand-crafted features {{cite:7d05353f866aa5b5a7d69dfd7dadf153c256fdcd}}, {{cite:14e6d17afcd45f7620685ea7bb8f131f412ab8aa}}, {{cite:04531f8ade99f0ddfe013e9ff01e3a033c61e073}}, {{cite:d46246f69468940a028ffc1e28f11eda7bcb88ea}}. Lately, deep learning-based methods have made great progres... | m | d31ae1fe25edeb601e0746db4f0a9dea |
In this section, we focus on a transformer state-of-the-art model, which has been successfully applied to the tasks of text, image, audio processing {{cite:ded9d8b20725578411799310c95881e5f2e5f83b}}. The transformer model is well-suited for processing channel data since it supports the variable number of input elements... | m | d7bbc79ee1324ff70f139c6f98ea3e71 |
Interestingly, these constraints are of the same order of the ones coming from Gravity Probe B {{cite:39cfeee15c452049746e1774b1c96af583db55c7}}, which is the best satellite experiment so far. On the other hand, we should point out that the best laboratory constraint on deviations from Newton’s law still comes from tor... | d | 1035add44a46afd1142bfec88eb4b32e |
The {{formula:af4349c5-01a0-47d5-963d-768e64a6798e}} CDM model faces, even at the observational level, some (yet unsolved) problems. The most important is the “Hubble tension", which originates from the serious differences between the values of the Hubble constant, {{formula:bd5b2bd2-05ca-4dfa-a075-2596cbfa1502}} , as ... | i | 954bda61d89845804e40efeb6653f89d |
By a computable {{formula:5995461d-9baa-4c28-ad13-d76f31e5f964}} -continuous domain {{cite:7c02823120be5a49bef88c215bcbfe283cdfc68f}} we mean a
pair {{formula:0553f010-94f7-4a6e-8a21-7a2343173479}} where {{formula:8264d4fb-24c8-4605-af99-a4ae08f2f1cd}} is an {{formula:8d1cd09e-065f-40a5-959f-58e6d37b4004}} -continuou... | d | 9aa70ba7d5b332d3865d93454bbaa189 |
Heinrich {{cite:7e18aa2ad510fe3985888226d3805b603c471582}}, {{cite:b0475a4fb696888134055cebfe61d77b60aae284}} introduced multilevel Monte Carlo for applications to parametric integration. Motivated by applications in computational finance, Kebaier {{cite:546445486e874ef45c76419ce69ab0f385e727b7}} introduced a two-level... | i | d991179536450b26d1613691290122f0 |
for {{formula:32be5c7f-3baf-4714-b840-461bca95b5b5}} and {{formula:40a18e30-fd2f-4aad-967c-00636562e76b}}
The integral in (REF ) defines, for every {{formula:353746f0-6333-4250-9dad-e28801cc9cd7}} , a contraction on {{formula:bc6d084b-43c2-4787-94a6-169d8162bb98}} , for every {{formula:26f0c75d-4541-439c-9f06-58a072f... | i | 9f0102d352447c11a31f4c9f4d59ad0d |
Finally, we point out that geometric thermodynamics is related to several fascinating topics, and has the potential to clarify the geometric properties of these topics. The classical correspondence of shortcuts to adiabatically for the stochastic process {{cite:fc96d14506b584cfe2059bdbe728d8d85ae836f9}}, {{cite:3d42dd5... | d | 3983f8752a9ba45dd315e23defbf7f58 |
To evaluate our method, we train and test our model on our D2CRealSR with scaling factor x8 and an existing real-world SR dataset, RealSR with scaling factor x4, x3, x2. In addition, we validate on DRealSR tesing set for performance of cross-dataset. We compare our model with other state-of-the-art SISR methods, includ... | m | f8813e1eed764a15d3e4ecf185968e4f |
In Evolutionary Game Theory, cooperation is often modelled as a strategy in a Public Goods Game (PGG) {{cite:aef7a6939afbaad5813ccfc272ed344ffd0dd634}}. This game offers the possibility to analyse the main dilemma of cooperation: the tension between self-interest and the social optimum. In the PGG, individuals interact... | i | 54891e751476d9597e81151b3ce35d50 |
UA properties can also be established for two-hidden layer neural networks. The difference to the one-hidden layer case is the distribution of the nodes in each layer. According to {{cite:5ff7a2455e559e4a90a33152903a692938da6913}}, on page 517, little is gained from a theoretical perspective by the inclusion of an addi... | r | edf2a5c6201533ad772128f9d7e6807a |
NEUT has a long rich history, originally developed in the 1980s as a tool to study atmospheric neutrinos and nucleon decay in the Kamiokande experiment {{cite:6db7c39ec15da8108147ad79251cfe78ec0ecb40}}, and some of the original FORTRAN77 code is still in use. NEUT continues to be predominantly developed and maintained ... | i | fec98e1caf33b12990fd8be2cca44408 |
Although perhaps similar at first glance to the other two regimes, the subexponential regime is more sophisticated and requires a much finer analysis. In the subexponential regime, {{formula:31e16fe8-4976-4a13-8b37-5cf18c86ef12}} , we prove that the SVP formulation of {{cite:3fbb789da073f37624050f26ed126f04618ec3e4}} w... | r | 9941d78c16f21e5528aa0712e4bc1292 |
In Fig. REF , we visualize the standard deviations of generated frames over 100 samples for Improved-VRNN {{cite:44da6b052b58e4760cd5d6e3e9363225e1704215}} and our Conditional model. While the uncertainty is mostly uniform over the image for Improved-VRNN, our model can pinpoint it to the foreground regions.
| r | f3e9426985d11e7980e858edaca26c7f |
The loss function {{formula:50ba7e51-0975-4872-969b-58bed2898b9d}} assigns a penalty when the model does not predict the outcome {{formula:16773e09-2471-44a6-abf6-e8a056d876aa}} well for example
{{formula:bafce85e-4c72-4d70-8d97-10de9e4a9f64}} while the regularization term {{formula:4781b270-84d1-4c31-9fa2-4683986a... | m | e5f4f4a8545ec85659f22411afbe5939 |
While slightly beyond the scope of this paper, it is worth mentioning that LSMR (or LSQR) can be used as the inner-solver for the Alternating Directions Method-of-Multipliers (ADMM) algorithm which has become popular for MRI reconstruction {{cite:07c6b343f8a699474ae5444c098e2920c190e33c}}, {{cite:3e50c7554b27d3968b9849... | d | d2e3fc8c2565f23e8e34ad41ad1563b0 |
From Eq. (REF ), we can find that the contribution of the first term due
to the direct {{formula:a0ab5f46-d532-48fe-aeed-50970d1d4252}} is comparable with the
second term due to the {{formula:fc88fb12-791e-4f4c-b38e-526b6f0f541f}} mixing. Within 1{{formula:3541736c-0540-4476-a6b0-73831244c861}} uncertainties,
our th... | d | f4ae5141bf183ef6a98dffd4b2665bac |
We shall discuss results from the systematical scans. In Fig. REF ,
we show plot {{formula:c5fd4964-c747-4e36-94bf-4e3d09b53a52}} as a function of {{formula:2fb44e37-40fd-4407-970a-91f54294c75e}} . Gray points are consistent
with REWSB and LSP neutralino. Orange points satisfy the mass bounds including
{{formula:78a5f... | r | 8fe77482163d2c690828ac124782d15c |
1. Regret from deviating from expected reward: Note that regret compares the expected optimal gain {{formula:ef036344-bc8c-4af6-9d04-0c4a5469e554}} with the observed rewards {{formula:7d429000-f385-41b2-88bc-ccbf879e7fa6}} . Since, {{formula:b2715bac-3223-4824-ba6a-8324bf46f924}} is a random variable between {{formul... | r | 54476b8a6509098c9893b35b50127a85 |
That fermionic model is an interacting system characterized by a breakdown
of the basic Fermi liquid quasiparticle picture. Indeed, no quasiparticles and no quasi-holes
with the same quantum numbers as the corresponding free fermions occur when the interacting fermion range of motion is
restricted to a single spatial d... | d | 07213d6044d94f48beb3fb91f1c7d89c |
Typically, a predictive model is defined as a function of predictor variables (e.g., the customer id, the product id, and the categories of the product) to some target (e.g., the rating). The most common approach in predictive modeling for multi-view multi-way data is to describe samples with feature vectors that are f... | i | 62978e94106b9695dcb380fcf21ce806 |
Of course, exponential Boltzmann distributions also form a basis for expressing probabilities in quantum phenomena {{cite:ab78520701a7a2be6f97d90f666abb69d228e6c6}}, or the size distributions of raindrops {{cite:b6f63285217e497196c95ce90aa66b4c595aa211}}, {{cite:2712a16a5f71239ea34b4d775f50742096075013}}, and examples ... | d | d12ecb7e3569548dda364459bf2be475 |
where {{formula:00ba6b78-9cc0-472c-93c5-81f706af58f3}} and {{formula:98d10352-7763-4036-8bba-b03e55ec0337}} are at most second degree polynomials while the degree of the polynomial {{formula:71ed71d4-9465-474d-9245-831e2474a534}} {{formula:2ac1945e-86fd-4cf9-9afe-548230a37e6b}} is strictly less than 2 {{cite:d774c2... | m | 7198fb9769565a1f6734a90d865756c8 |
To counter adversarial examples, researchers have built models that are robust to adversarial noise {{cite:6554bd99b958f024bbd55932e2a5d6a7ee8f50a3}}, or models that can identify adversarial samples {{cite:d44f353efef1e6798ce7bf39d4d7e2a659efea6b}}. Akhtar et al. {{cite:6d1cd807a9bbb2326ab015371019c7ed5a057cfa}}, Yuan ... | d | 55652474acc38efc6e0b4c7db7e659d4 |
where {{formula:e808fdf1-70fa-4147-9f7e-2f74af897afa}} is the {{formula:707d92c4-4860-459a-b499-b8126a2340e7}} order covariance matrix of the process, {{formula:7b8966eb-1c73-4f01-9c61-c592f0ac6667}} denotes its determinant, and {{formula:73a191ae-d439-49d6-b83e-b57fd3a833f6}} is the variance of {{formula:b0451948... | i | 6fffcd400f618a7575897e0fabfb2806 |
Spectral and singular value distribution results {{cite:67095d7a224ac1898bb48f516f1c453df760563a}}, {{cite:42a0a0c6a9ce8ff25ed3803f72d9a8722fd0e99b}}, {{cite:6705b6cee51fe4707491aa569d6a8262e20b890a}}, {{cite:02399595896e3047bdfb83cdeaca6354c567fd31}}, {{cite:d2bb3fb2cb3e71462577e293d6ecfbd52a3463f9}}, {{cite:6a13296c1... | i | 9c79468a96b7bd51d2ef17b22e949369 |
Quantization enforces the DNN models to be represented by low-precision numbers instead of 32-bit full precision representation, leading to smaller memory footprint as well as lower computational cost. In recent years, numerous quantization methods are proposed to quantize the DNN models to as few bits as possible with... | m | 405ea7014b88f10b006b1b82ec0763c9 |
Frameworks for PIM.
DualityCache {{cite:a461106575e43ddf5461ce59726217ce36346fbc}} is an end-to-end framework for in-cache computing, which executes a fixed set of operations in a single-instruction multiple-thread (SIMT) manner. Employing DualityCache in DRAM is not straightforward due to the fundamental differences b... | d | 5968f50d948249b328f52ddb03a3e1d4 |
On the other hand, most of the previous studies on the Penrose process were focus on four dimensions. However, whether our spacetime has extra dimensions is a fundamental question in modern physics. In past one hundred years different types of extra dimensional models were proposed, such as Kaluza-Klein {{formula:39115... | i | e3dd0a775c1f4c849f1908b402b7c3ac |
In practical, most of real-world datasets have long-tailed label distributions {{cite:969478fa3cd12248baf1fdb0f683c708c19dd156}}. As a result, deep learning algorithms usually perform poorly or even collapse when the training data suffers from heavy class-imbalance, especially for highly skewed data {{cite:b2e9eb002652... | i | 13ed0f69f5d9443c32fb5330191747a0 |
Generally, there are two event-based approaches that have been proven effective, namely, event-triggered control and self-triggered control {{cite:9f81829c0d43db4a364f5284f7ecad10b09c109e}}.
In the former, an event e.g., a data transmission,
is triggered only after some designed triggering condition is met.
This condit... | i | 84998bd311a0a8de69e3272849542aed |
The theory of isolated systems plays a central role in astrophysical
applications of Einstein's theory of General Relativity. A
particularly influential approach to this theory is through Penrose's
definition of asymptotic simplicity —see
e.g. {{cite:a43f654ef5167c4c7d7dc6a58f8a1c396a26752b}}, {{cite:44cd0d8857f64e1cf5... | i | b5ec495d9c2443a7eb9620b0b511a552 |
Finally, as shown in Sec. , the general theory of the massive graviton admits the flavor off-diagonal terms between {{formula:10d98cc3-fbd3-4402-8bae-ca18a370d4a9}} and charged leptons in Eqs. (REF ) and (REF ), which would give rise to the LFV processes, such as {{formula:27f8e944-12b5-4eec-bc4a-0259d9e151b1}} {{cit... | d | c06ed31c2c14bfbcb5ec72a62a8f7e21 |
The masses and the decay constants of the final-state particles are from {{cite:c65d2ad4fef8d774d44de3f7bf6729926374b99f}}, {{cite:01e288ab56264d2c79b5bb4e9887b911c23cf8ca}}, {{cite:ad6bd289ea34ecdcc6f1031f649dcde9a025b5e9}}. The transition form factors in Eq.(REF ) have been computed out by several methods. We will us... | r | ffbfb4fbcbf955844cdfbd777acc2f30 |
We illustrate our methods with an application to air pollution levels of NO{{formula:8c9ae6f8-7a64-484c-be47-9e8b96a6ccc9}} at a single location using a hierarchical Bayesian approach and the integrated nested Laplace approximation (INLA) for inference.
In general, INLA requires the model likelihood to be log-concave ... | d | 4a52687342fd110517511d35c3d9e1a9 |
Both {{formula:5b34c946-2482-44d7-80bf-b33d887db60b}} and {{formula:1e9b921a-bac5-4501-a3b8-473efba2df8c}} can be used to estimate the importance of different features in categorizations. Thus, this approach allows us to estimate importance of individual features in agendas (and categorization given by them) obtained... | m | 8ce4973ef8b01e7ed5df3b45c8791439 |
In order to access radial flow, mean transverse rapidity and its azimuthal distribution are introduced {{cite:ba44e304cf0f7c5c383561aca6e1503d92725d56}}, {{cite:2197f44d75a453d379ccac63d4296dde6137acb4}}, {{cite:8b7c854f849842d28e9eaef9fecd815e6d2bfaaa}}. Where mean is the average over all particles in a specified azim... | i | c9fd88fd34a7e69db62d48d444776d3d |
which is situated between {{formula:19603495-e089-4f36-b1f8-d55d94f6c63c}} and {{formula:d5300320-c052-4099-98d4-b46beb59ac0a}} Finally, in noiseless situations, Mo {{cite:a01c0285682b77c95c7edbde8ffcc0a1d808f2a9}} showed that the condition {{formula:7d61d426-31e5-48bf-a64d-2ef1afc4a5e6}} is sharp to guarantee the s... | r | c03a56d06cffa56dd44748db88bee6a8 |
Substitutions on finite alphabets and associated dynamical systems generated by shifts are well studied from dynamical, topological, and geometrical points of view {{cite:a69211daf18d58d212455f9e8336704614c2bbea}}, {{cite:bb12e8155c20bc5916e65a454defb1696a0f9091}}, {{cite:e53b5128c5450360e005f000d1457f08c07a9e85}}, {{c... | i | daecf759447c49192627dd038c6c0262 |
In the paper, we compared our algorithm against different algorithms from various categories: non-learning (elastix {{cite:d63bdac3160c41cf577aada5f7b1229f8e066af4}}, a popular conventional tool); hybrid {{cite:4f5048b97206fdd5b51e824bebf9c386e2613931}}, and GAN-based {{cite:ea56a9d7086d6ff9c3dc7cc15046b9d9a2da1a95}}. ... | d | 454ab333f53830acf10dad0ba9fec0b6 |
One may compute {{formula:8d8f5277-148a-47f4-8707-cb136798511f}} as a function {{formula:d1b7cf01-c590-49e1-b24e-dae27b3f589a}} and {{formula:17b37cee-5b8b-4a3e-a43e-a1f321ed3905}} to locate the region that this ratio is much less than unity, which means that the energy level width is much less than the energy {{cit... | d | b1ecc3d452da01a1dc3ab5492172aab6 |
The optimization in Section 3.4 can be further controlled by the user by defining bounds on the value of {{formula:7a020e5a-0a2e-491a-98ac-2a1a08ec5a0e}} . If the user wants to guarantee some level of change in the image without allowing the image to get too close to the protoimage, they can place an lower and upper bo... | m | 3afa3baddd7999bac82146b112f5d18d |
First of all, we give an overview of the algorithm which is presented in detail in Algorithm .
[tb]
VCFR
[1] {{formula:57b3cc39-4e98-4cb6-8563-6008ff684dd8}}
Sample {{formula:0c81d9ac-38db-44b6-82b2-0e810d067351}} according to Observed rewards and transition probability from unknown environment
each update
Sample re... | m | 28333bab9cfaa2afc62e8e508abe66dc |
The theory of integrability for differential systems is classic and it is useful in the study of dynamics of differential system. Integrability has different definitions in different fields. Here we mainly concern the algebraic aspects of integrability for polynomial differential systems, which involves analysis, algeb... | r | 709d4d9de1ba6d121408238594abb70b |
The problem of resolving two point sources has been intensively studied as model problem for optical system resolution characterisation for more then a century. For a long time only visual observation of the light coming from the sources was available, thus resolving criteria were based on visual characteristics of int... | i | dcb7002bb6f7aa82e773f92307d62c1a |
In the experiments reported in this paper, Python v3.6, {{formula:93ac9429-a7bd-4474-9967-0fe31e885f42}} Library and Sci-kit learn {{cite:a8ac2f143e0f9fb8d786efc44dd42b1b331c80d2}} were used for the implementation. Each experiments were executed 10 times and the average result was considered. Each dataset were split i... | r | d4497fc161bd77aec067852c3692ca1e |
RNTK: We only used single layer RNTK, we {{formula:b6e4c7d6-687f-43aa-ac6b-8a1eb21fdf00}} and the following hyperparametr sets for the variances:
{{formula:72876402-1727-482f-a76c-4e7946c8c137}}
NTK: The formula for NTK of {{formula:627f15e8-cb1f-4b2c-b2cc-b4e598a881ef}} -layer MLP {{cite:54589919f06314f828c66675a... | m | 87621610c1aef6c7d62f8358150052e2 |
The limitations of General Relativity (GR) on large scales led to the investigation of astrophysical processes in modified theories of gravity, e.g., theories which provide improved models of the accelerating universe. Among these modified theories (some of the review articles are listed in {{cite:28bcc2df22b08e3b6ecf7... | i | ee5481f93ebacad5a8dbcdf1435ede42 |
We continue the training with the ground truth image- and optical flow data from Sintel {{cite:33d4ac0d56f082554bd1e37c7e6ea6cd8edd7bee}} and KITTI {{cite:4cda4ada7d286b699010b67327c07ae74d99c27e}} to compare with other methods in the finetuned regime.
We again follow the training schedule and settings from RAFT {{cite... | m | a7290a3fb06cf8ea2c77d982d9850671 |
Alongside the advancement of NLG models, attention towards their limitations and potential risks has also increased.
Some early works {{cite:d6c3541408f96d69153a9f27f9ad9963f53b7b36}}, {{cite:560b03c5fe540e64588dd97a7a785d5849ed9de5}} focus on the potential pitfalls of utilizing the standard likelihood maximization-bas... | i | b79f8e4a78905f2d9e2d74a5dda1ffd9 |
where {{formula:cdad8405-87b5-4a75-8211-27b7b94cd584}} is the constant of normalization. Here, the initial quantum state {{formula:213d494e-eeed-4692-8eff-b8abb6971f93}} can be the leading eigenvector of any Kraus operator {{formula:80a29429-3241-4d18-8dcd-a8c846d2b2a4}} (see Appendix ).
This naïvely suggests optimi... | r | 4c23e2446bd6c047f463d6fd5c331cc4 |
In the equilibrium statistical mechanics of lattice systems, the non-uniqueness of the infinite-volume grand canonical Gibbs measure is referred to as a phase transition {{cite:3ba851f55312a269a28409fae360df1c7cb7e8ee}}. The presence of such a phase transition can then be detected with the help of some order parameter,... | i | 5026332b024d492c476c90e5ba66c839 |
To improve the interpretability of the DeepAR model and explore the impact of the considered features on the model output,
we also perform the computation of the Shapley values {{cite:633536f1af888daeb89442fc47aec1ecc8a23efe}} of the model using the SHAP library available for Python {{cite:1e199566e57c5695d94408923d0b4... | r | a312933227c877c24131f73d261e75cc |
Results for this experiment are presented in Table (REF ). Despite using a much smaller pre-training dataset, training for just 12 hours, and using less than 50% of the parameters, our model outperforms the LSTM model described in {{cite:c4e8b5be0c026b596a968569a515a812f5ddd6b9}}. We also include a self-attention based... | r | 411f3266d2d0fc1621bdb341da549f74 |
In this section, we provide additional quantitative results on KITTI {{cite:714d84724e439a5173aa03c23063ff46eaee6a8f}}, {{cite:fa0a33a60e027e0680201165357fc2262172caea}} in addition to the ones presented in the main paper by comparing the proposed shared encoder between the pose and mask to separate encoders for each, ... | r | 786c9ed9e556879ff0e1a12dcd1323cd |
Applying Theorem REF to the generating function (REF ) (cf. {{cite:ca47722ff6d9c0818ec55473995350a2cd208e89}}), one finds that {{formula:ba662a59-8b08-461a-aa59-5309cc37ecf1}} as {{formula:657b83c9-72e9-4c54-a06f-9b3c89640d1d}} , with {{formula:63bef9aa-9ef5-404b-818d-cf766c7a9e12}} ; this is Robinson's constant.
The... | m | 1112ebed0edb77f37d6818a4f292a48b |
Overall, we believe this work brings a new perspective into questions related to Hamiltonian complexity {{cite:54b58634c88aa1476a59e41a2fbbcdef3eed94d1}} by focusing on problems that can be solved efficiently by quantum devices, unlike
problems such as the QMA-complete ground state problem {{cite:856f74ec9c3958edeb3b10... | d | de93b45fbd88e108dd5adf09811349c3 |
The use of higher dimensionality such as 512, in DCC layers is shown to perform better {{cite:bd97fea332aa3b78d96c8162e6b12cded3590278}}. Using the 512 dimensions in the transformer decoder, however, can make it computationally intensive. So, it is better to run the DCC encoder at higher number of dimension than that o... | r | 6f76bbb3854ba4adeb1c9fec140685b3 |
Note that by duality (see {{cite:3367243dd52ad9ac49399b01b563c113db3083d0}}, ch. XII, §2)
{{formula:ae109200-d85d-4093-94eb-30a59de853a8}}
| r | fc324fda2d0a60c77c9e6a0523b6cc7d |
The monolingual and multilingual models offer comparable performance according to all measures and across all languages. This indicates that including other languages into the train set, besides the target language, does generally not improve performance of the models, especially if the training dataset is sufficiently... | r | 3312340476f5a56bd456c029cc0728a4 |
The problem of estimation of functionals of parameters of high-dimensional and infinite-dimensional statistical models has a long history going back
to the 1970s. A very incomplete list of important references includes {{cite:e6d5bdf75cf95239673ac54a1bb797071ca6010c}}, {{cite:c1d9a24c3e94d7dc99379741281c2217e6fbb249}},... | r | f0aee38de513bf12e1e4a2bd60fa6ca6 |
2. An experimental detection of the axion particles is evidently a demanding task. As mentioned, the haloscope approach may be a feasible method {{cite:1c9694400b768b8b48b35b5e3f5952b71e9e9718}}, {{cite:0afe65095400e55ce39d2c8f0d3ed0380ea3b55a}}, {{cite:f5b14b30e2027d127684f4d6514b8831e0992811}}, {{cite:f61d22b64e0df19... | d | d2190d16ce418bca8cd1bfef6cd04466 |
The positively drifting type ii structures have also been interpreted as being due to downward particle acceleration at
a termination shock generated by a reconnection outflow ({{cite:29f29ca33f62e635907b1a1ab29f0a4d6309e65c}}, {{cite:83ce73c5860af5f008534477dca9e0a341f22a54}}, {{cite:8be2bdb9a63d3d12781e93215dc89f2590... | d | b25e0999154c7d9c2992c52146be1e6a |
which we can solve by the well known subgradient
algorithm {{cite:25f8db3d9b65458c05986ed4efb157af696f1ed2}}. From now on, we concentrate on the
calculation of the subproblem (REF ).
| m | 3360342eb528cf9ad94642443b460a7d |
VGG: is a convolutional neural network (CNN) model that achieved significant success in The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) competition in 2014 {{cite:891d22b44b0583da43060fc4fa9e4f014370381f}}. VGG consists of sequences of convolution and maxpool layers. In our numerical experiments, the VGG... | m | f0c3582ce32000e875a17db3b6442aa8 |
(For a more precise estimate of the error term in the Prime Number
Theorem, we refer the reader to {{cite:6035220c5b5823263850cd35d6aa5e0b97d973a0}}). Furthermore, for {{formula:791964bc-3393-43a1-b678-a464371090fc}} , we have {{formula:7c95aac2-efed-4ce1-82f2-da1966e3105d}} . Hence we get
{{formula:11cf78d9-a97a-465c-... | r | 4a77e46e7ecd143b37d425eaa7c2d0a3 |
In this paper, we formally derived the asymptotic posterior normality for the family of GEV distributions under blacka large class of priors. Proposition REF demonstrated that the posterior approximation can be easily obtained if the parameter space {{formula:7888a60a-ea2b-415f-9f98-f17302d43e48}} is compact, as is g... | d | ef1ab9dc12e8e2edf7ba8e4094dd1196 |
Optical flow is intuitively a matching problem that aims at finding corresponding pixels. To achieve this, we can compare the similarity of the features for each pixel, and identify the corresponding pixel that gives the highest similarity. Such a process requires the features are discriminative enough to stand out. Ag... | m | 703f0420b6c60eed0d0bfea9eaccc6be |
To be able to talk about thermodynamic phases, phase transitions, temperatures and so on, the system under consideration must reach equilibrium {{cite:561f19ed80af6c724a2399c641b64ad6e0db3b1a}}. Only at equilibrium, variables such as temperature, pressure and entropy density can be defined, and thermodynamic relations ... | i | 429e63788164b50e04829b49dfd90396 |
In the star forming regions, protostellar jets are observed as proof of star formation.
Jet and outflow driving in the star formation process has been investigated in core collapse simulations.
However, in many simulations, the jet driving was investigated only in a limited parameter range {{cite:8e40562ebb6ebaf96743d4... | d | faa3ede516b755dd8819a82ad51323f8 |
Figure REF (Right) illustrates the ROC with respect to the pixel-level measure. In Table 1, we compare the pixel level EER of our approach to that of other approaches. Our method's EER is 24 percent where the next best result is 29.9 percent reported for the method Li {{cite:8ffe4266d5ef65101ea1b88bb5d264eb7b857d36}}.... | r | 0229576bde8736d9881c6a5a01dc97ce |
The general position problem of finding a largest general position set of a graph is a generalization of the No-three-in-line problem in the {{formula:e43ae5d7-3cf4-493b-9950-7b48c393e3f7}} grid from discrete geometry, which can be traced to the famous Dudeney's “Puzzle with Pawns” of his book “Amusements in Mathemati... | i | 5a2e73dc5825f9900dd0b3ca5f27e5ba |
Coherent control of quantum states plays a significant role in extensive practical applications including quantum information processing {{cite:fc740f91668ab03cb0d325128e74f1f01c004b5f}}, high-precision measurement {{cite:e8c1bbb6fdfa7ee24adf7761c7d08c7413a9b98c}}, and manipulation of atoms and molecules {{cite:b561a08... | i | 4575463ca459fd183696af4b5cb65367 |
In fact, analyzing the effect of dynamical friction of dark matter density spike in a binary system is not a new idea. Nevertheless, most of the related studies have focused on the binaries of the compact objects (e.g. black hole binaries) rather than the BH-LMXB systems {{cite:84b95150008c0e485bd85ebfa2e2bcc61bc5039d}... | d | aa79b56c72f28b808e32fa11e91da7d3 |
In addition to the studies on some aspects of the new solution, we also discussed the Kerr/CFT holography associated to the spacetime. The agreement of near horizon metric (REF ) to the general form discussed in {{cite:9d2c75b0a10e03911e3dc9f4a50ff0b0cffa9422}}, {{cite:a65fd786184602a9e8dcf4e9c2cc6fa05fba8e44}} allows ... | d | 36a97be29c9c14511bfa5beb1fd20022 |
Finally, we recommend consider alternative inference methods in order to account for larger datasets, which is currently an active research area in computational statistics (e.g., {{cite:9bf54c84931b9532935758eb9562dfda70766def}})
| d | c2aea142354718477848000ed7a76f03 |
In this section, we test the original PINNs with different weight selections {{formula:41a2f550-67e1-4190-9e60-41a40efe7a87}} for the sake of contrasting their capability to represent manifold equations with lbPINNs. We aim to highlight the ability of our method to handle the classical Navier–Stokes equations, whi... | r | 0cbf14117933e8ecd4cc0fb91233634a |
where the shape parameter {{formula:8abce3ea-ff98-43d9-8fb8-9a13d32b0f44}} GeV has been fixed
using the rich experimental data on the {{formula:6ad406cc-60e9-4556-801d-23daa1f0b21b}} and {{formula:ea1c8799-80f6-44ab-a704-dcdb8fea6a7e}}
decays{{cite:fc283edb906c56f4ddbbf8f53c58ccfb74125804}}, {{cite:95dcc2ac1d082b4956... | r | 489963f91c5ee965b44524141f40764f |
This sounds more or less straightforward; however, finding the global minimum of a nonlinear function such as {{formula:2729e296-ae39-478f-9a30-3536be14c9a4}} is an NP-complete
problem {{cite:a7e11210b185b198cdbd482b92317bf3cb84ad3e}}. In a practical sense one cannot expect to succeed with such problems. However there... | m | a2cea222dc666a5e3e0a8c9fc166c1c3 |
Experiments.
We first created explanations for the same data point following the methods of LIME, SHAP and SAT, which are described in detail next.
LIME {{cite:ff509a873e554941ae54f9893f983324ab8e2b55}} provides local explanations of model predictions global by creating an approximation near the input. Feature importa... | m | 976b245f81a74de73c5f7655b7969b7b |
where {{formula:03a0a956-f05b-4007-9e6e-c1c102a73e60}}{{cite:c2f96c6a8380f38e77de211684c71b267be9a579}}, {{cite:18fdf27edf451dad4423f5987bb51c254cf0a31f}}.
Therefore, the initial length {{formula:f4f5ac36-f143-4b21-a788-9da114a5e943}} of the loop decreases as
{{formula:db803d57-2933-42d8-a38f-95349735d8ae}}
| d | 945a79e15eb9e411f930e01c69fe4ed7 |
Against this background, this paper considers continual learning by extending EWC to PSFA, which is regarded as underlying multimode dynamic processes for the observed sequential data. The proposed method is referred to as PSFA-EWC. Data from each mode arrive sequentially and unknown modes are allowed.
Moreover, the pr... | i | d235c7419fbc1e519e7b206bef18aad5 |
Circuit-QED solid-state systems {{cite:0ad2e5fe3f35e9a9f68d36afbc6f1e0900720706}} made of artificial
atoms (AA) and resonator modes {{cite:5abf9290f3531f0ffc5b183344ad56819996523e}} are paradigm models
for studying fundamental physics from measurement
theory {{cite:0ad2e5fe3f35e9a9f68d36afbc6f1e0900720706}} to quantum
... | i | e2957a61214e813e7882da06363cca6f |
Li et al.{{cite:b29ce6ad89bf634108659d336d2ea17e18d01fb2}} developed a whitening and color transform (WCT) method for style transfer based on a feature transform. These methods can achieve a real-time, arbitrary style transfer.
| m | f95708881c8a83034688a277338d0554 |
Various post-processing modules have been proposed in the literature. Modeling of the image-prior, based on maximum a posteriori (MAP) criteria is used in {{cite:ec75ec8ad6c1f70e18edc7b108c3b277c35ab428}}, but it is found to be quite more expensive than handcrafted models. The post-processing method in {{cite:9a6925ec8... | m | 06aa196749968f6dd903f6cd1c6af8be |
The DFT+NEGF transport calculations within the local density approximation (LDA) {{cite:4953cc68a33438c7d358082584b62d3b1937ad0e}} were carried out using TranSiesta {{cite:1f37e0d26a04f047a3e7df0f5a1a8d7bc60d3d81}}, {{cite:dca54a71fe4231e6fd9bcfe3ac84eefabde21676}}, and the post-processing codes TBtrans, and sisl {{cit... | m | fe669e7c7270bbe456bc88a031de88af |
Due to the lack of work that only focuses on text and audio, we compared with models that also considers the visual modality.
We compared our performance with two recent state of the art emotion recognition models on CMU-MOSEI.
Specifically, these are the graph Memory Fusion Network (Graph-MFN) {{cite:b7189cebe26f621f4... | m | 331f7e796c5673f74c56e75e004b1c33 |
F1 evaluates the average of the F1 scores between the positive and negative aggregate predicate sets.
{{table:1439da91-8076-4684-8882-2835aff2652a}}{{figure:cab06673-4083-4c2e-b7ef-fbd9ee99f447}}{{figure:ab6b735d-ee31-430f-a1ed-adee39ef780e}}Baseline Comparison
Table REF presents the scores for the baseline, GoalNet a... | r | f2133fca5fc0918d818ca8353ef83230 |
We provide additional experimental details on the validation split of the KITTI {{cite:2035059542c4d70fcc72d421e181b1e22f9b479e}} data-set in this section. In tab:kittivalcyclist, we first show the 3D and BEV AP for moderate difficulty on the Cyclist class for PV-RCNN and its variants. The table shows that both our pro... | r | 2f1d58ff53daa9cafcf7892b35d44436 |
Here we show that one can. To do so, we build on two recent developments in deep learning theory. The first is the theory of infinite-width networks, which has shown that, as hidden-layer widths tend to infinity, commonly-used neural networks take remarkably simple analytical forms {{cite:cb45d6e2ea6d0789a8e01f5b6b892e... | i | 49c8ce1121b504c95e8088b1a37a8f34 |
Recall that earlier in this section, we suspected that fixing the support pool randomly prior to the start of training may induce higher variance in the final meta-test performance over different runs.
From the observations in Figure REF (c), we confirm that this is not true. We compare and on -5w5s and -5w1s over five... | r | 3263fb80a1dd318eac7bc2a7ec5bf740 |
The covariance and cross-covariance operators are one of the most important and established tools in RKHS theory. These operators are used in the computation of kernel principal components analysis (PCA), the kernel Fisher discriminant, kernel partial least squares, the kernel canonical correlation analysis (CCA), and ... | m | 45306031b9730da92a8edeb2dd561f35 |
Framework Overview –
Our proposed framework is composed of three components: perception, task and motion planner (TAMP), and skill module, shown in Fig. REF .
A Chemical Description Language (XDL) {{cite:0633e242c56f7b3c75ccca3919d9c973f68e2b01}} provides the experiment instructions as an input to the TAMP.
The percept... | m | b141ce38c63b751f69a2a85eaaff058e |
It is clear to see that {{formula:6c273545-51ba-4b39-ab25-3a29507280d5}} involves the residual of the projection of {{formula:70dbe59c-55e1-4413-ba66-2604b9cc43ac}} on {{formula:19f32695-0e36-482a-9aa9-1875bd283843}} , so {{formula:9cf073f4-c29b-40d6-a6f6-d1237caadf95}} . Note that the latter is the variance of the i... | r | fc42aa4f8537cb0b0a341bbd6c5a7cb7 |
E-commerce application as one of the largest multi-modal downstream scenarios has facilitated person's lives.
And there are many product-based tasks in the application scenario, such as similar item retrieval {{cite:f087bfedff5303451b6c2debd3f14b4aa0828e91}}, online commodity recommendation {{cite:f5b659e0dae9e68a4053b... | i | 4f4098727e2d3f5ce0d4167f43c8bada |
The to-be-fused decisions are determined by the corresponding feature extraction models (FEMs), which have a large number of choices.
As examples:
(1)
Standard decision (Std-Dec), the FEM utilizes a standard CNN-based classification structure, such as {{cite:49e26edb8b88c5d9eee34c61f2abcab6ce8a6554}}.
(2)
Meta decision... | d | 37abf01b4f937661fdd07558b482e187 |
The DRL training and optimation process is relatively standard. We use Deep Learning (DL) as a function approximator that generalizes effectively to enormous state-action spaces through the approximation of unvisited states {{cite:fa078192f2b8cf41eff391043861f4ed12701de4}} as shown in eq:drl.
{{formula:0f527581-a1a5-46... | m | c149bbf41f2042a2beeed54c78f95065 |
It is important to bear in mind that the X-ray scaling method is not equivalent to making some general assumptions on the accretion rate and the bolometric correction and deriving the BH mass from the X-ray luminosity using the formula {{formula:3e1d4363-7a0d-40b2-b74d-e88e79e2a7fd}} , where {{formula:3324098e-51b3-48d... | d | 7cacf2576d20a31e5007af2cc395a171 |
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