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where {{formula:c7b16489-e6ff-4624-96be-1670f460fb90}} is the Thurston measure on the space {{formula:b0f67f95-0fec-4739-9370-60fc02aaaf4a}} of compactly supported measured laminations on {{formula:6414d928-851d-4a8f-b81e-058dc5c23b4d}} , {{formula:2acccb16-da41-4034-b608-283ff6dfa4ac}} is a constant depending on th... | i | 8809fafb8ee2a3affd58f1be9a4519db |
One important application of Eq.(REF ) in the hard string scattering
limit was to reproduce {{cite:f283e8e9bfb8cfc06f3336ff3e286afd32440c41}} infinite linear relations with constant
coefficients among all 4-point hard SSA ({{formula:58b7ac85-cf8c-475c-a3ab-800b80bced43}} ) and solve the ratios among
them. This high ene... | i | 1e412448318c3640bbf51bdbdf81bc75 |
We evaluate multiple-shot attack {{cite:68160e20a985787f610c265c73cbebba241a10ec}}, which means that the attackers perform attacks in multiple rounds, and the malicious updates are accumulated to achieve a successful backdoor attack. As mentioned in Section REF , we perform a complete attack in every round, which can s... | r | 2c1e98453fb76a3bde1bb9c631b7cede |
Dataset: we used MNIST {{cite:055025cf991bfcc0611e20f9296b6aeafdb730c7}} as {{formula:13cdf72a-6288-4bf0-a170-c54068b2a264}} and SVHN format 2 {{cite:ff0a8b1ba793ef04668dbf10a0be3ef865cb994c}} as {{formula:dac005d1-9919-4c7b-b632-d99db28690a3}} . MNIST contains {{formula:829f82b2-e7ef-4757-bac3-78fc5528caf1}} binary ... | r | 7b5ce6bfa2f2bf4384c486e23b46df9b |
We conduct an empirical evaluation of the proposed methods against state-of-the-art gradient-based methods (PGD given here and FGSM in the appendix) for various NN architectures trained with different approximate inference methods, including Hamiltonian Monte Carlo (HMC, {{cite:24ce2a32eb5d09d25f0875a2c089095d02437998}... | r | f363498460d0b346f4deafec2741e5c9 |
Since the mechanism of the QLD is driven by the unstable cyclotron
waves, it is important to investigate the effectiveness of the
instability and the corresponding growth rate. {{cite:cc818ba0833aca46f486d1bc08b92912c3f8efe0}}
has shown that the increment of the cyclotron instability is
given by
{{formula:ad1a9262-8f2a... | d | 995fd75f0d5a91b64a2f8603e7edcc67 |
The projected power method {{cite:7bb9c1afc53507fda0a02ea88fc56372d84662ff}} suggests to replace the global normalization (REF ) by an entrywise projection onto the group.
Specifically, the {{formula:b1c29662-6a7c-4f87-985a-44132cd1752d}} -th iteration reads:
{{formula:dd25a555-449f-4d37-b7c4-4f75350454a6}}
| m | 597909b8e1b666b772d527394acb4163 |
We address the machine learning problem of predicting values of a target variable given a training data set in which the target variable values are known. The training data set needs to be representative of the underlying population, and its size must be large enough for the machine learning model to accurately learn t... | i | cfa9ec5f1874bb383c4457170081d0dd |
Conventionally,
a mechanical mode can be said in its quantum ground state when its thermal population {{formula:aaa3b842-321e-4e81-86a3-33e1da41b3e0}} , which can be achieved by lowering the temperature {{formula:0c3ad50d-21fc-44a3-903f-c5c5bacf7cd7}} .
Alternatively, the high degree of control reached within optomecha... | i | 3f35772c185f0c6d6565d88687638eae |
we obtain a real and continuous function, which is also bounded away from zero. The resulting operator {{formula:89e56a6f-f704-468a-a8ff-1ce18459ac82}} is invertible and therefore, since the finite section method can be applied (see {{cite:e1922b7f32b82e87e42d16511671dff5cc67ac9e}} for example), the related finite Toe... | r | 1658fabc864de51eb80895057c4c490c |
The fidelity between the initial ansatz state and the true ground state, the flatness of energy landscape around local minima {{cite:f354ead13813f7f4a392a3f7e4cbc8401e36ae7a}}, and limitations arising from the classical optimizer are the dominant factors which affect the shape of these distributions. In particular the ... | r | 22785fb964d0b9f93ae37e1600310cf1 |
We compare the proposed algorithm with one state-of-the-art image-collections based 3D face reconstruction method {{cite:0f9a41ce618e9482f427811c3ab288075bcb01c5}}, using its pretrained model.
We quantitatively evaluate the expression disentanglement consistency by calculating the lip LMD on 100 video clips of differen... | r | 981a0002cc0fde8a3547a17ed466aadf |
Define the Fourier transform of {{formula:2c1c16a7-5188-4659-9a84-9d7cf97dbcfc}} coefficients, {{formula:2a61544f-2367-402f-a801-a438db714752}} , and of the operators, {{formula:974db012-dccf-4558-8b4f-32cdf7d65467}} ;
and assuming {{formula:78c8ecad-4763-4be5-ad6d-1fb106201d55}} is real and symmetric, equation 39 f... | m | 89f7eb5d45f1689dfa9f32516bc9eeb0 |
Remark 4
It is a well-known fact that asymptotic stability of the synchronization manifold is guaranteed in lossless networks when the magnitude of the phase differences {{formula:dfd86908-91c7-44f6-8dae-a398cea9ffa6}} at equilibrium do not exceed {{formula:020d907f-268c-4b27-8e77-c3bc397b9ef0}} {{cite:a94847c886018... | r | e513841b91a2a288b5ca43f565b968e7 |
Tie strengths play an important role in the analysis of social networks, characterizing the relationship between individuals and providing insight into how those involved will interact with each other {{cite:7e8ac0e6028081d317c4170c4e0b378a46a32577}}, {{cite:7eed1c528c9db9b40d05cd42fdee5635150291d6}}, {{cite:c2f69c3927... | d | 8843fbef99cdcbdb6d66ca8fcaff1cb0 |
This paper accounts for behavioural variations among agents using Rényi divergences and their associated variational bounds. These divergences are Rényi relative entropiesThe Rényi entropy provides a parametric family of measures of information ({{cite:a94a128e70ca44a2362a5e42ade292cd53921096}}), and satisfy similar pr... | d | ba6f3f90fb83de0cf5bcc05896bf4a6e |
There are many open avenues for future research. An emerging field of research in science and engineering is scientific machine learning (see, e.g., {{cite:b3dcc68905a4501a59addf5daa74bdc44629d994}}), in which a primary goal is to infuse empirical knowledge and first-principles rules of processes in the course of train... | d | 748a9dfcaaa1e0c1399c25403c6699bb |
Comparison with other F-V losses. We compare our proposed FOP against various losses typically employed in F-V association methods.
The first is center loss {{cite:bf46e856a9f6da5a364134ce17a14048c61a84f4}}, and is adapted by {{cite:7a707f9bbd3de28eb0f362db72f9529d6c11a537}} in a single stream network to learn F-V ass... | r | 30d9ecc0934fc1aff48e97d75cb3d622 |
Proof.
By applying the descent property {{cite:c9f1c07600d91c542065afcbe541c5446587aef9}} of the projected gradient algorithm to the primal update (REF ), it holds that
{{formula:bb51c7ba-a48c-4df3-918b-117f108098df}}
| d | 5f4501e90535e1d74c21a22eaefec237 |
Based on results from dynamic system {{cite:efaa1c2b5e515c606e12c5804fa9b9bcd35056c9}},
Lee et al. {{cite:699a7d12fa28ba4e9f8edf93bd6e74ffcd1ad194}} first established the global stability of first-order methods for unconstrained optimization, i.e., they can avoid saddle points for almost all initializations. More preci... | i | b9daa3e401b9462609c098d5bef21019 |
To have a better intuition of the trained CNNs, we visualize the feature maps of CNN 5 and CNN 6 before the last layer using the t-SNE method {{cite:bd7ee5d959a0c19eb57b8eaf96eb7a6fb0f6ac9b}}. The feature maps are vectors of length 98 for CNN 6 and 64 for CNN 5. By the t-SNE method we reduce the dimension to be able to... | r | ec5568763617d16bb4e30752172fd21f |
In our paper, we try to establish the global existence of the mCH equation (REF ) on the line
by using inverse scattering theory. We find that extension of this approach to the mCH equation
will confront some substantial difficulties, which are much different from the NLS, AKNS, derivative NLS equation {{cite:4ba3b9e95... | i | 449e27e555887eee043622f2c830ef03 |
It is of interest in the above to know what are the restrictions
on the symmetric matrices {{formula:3ccc1308-4d95-443e-ab6f-2a06d31a56cb}}
and volume fractions {{formula:6b8e91a7-fab4-49b7-ada5-2d64f0ef9e72}} for which we
can find periodic E-inclusions.
Let {{formula:5becec26-8187-4c62-bb66-8028b5047134}} be a solu... | d | babbaddc843aac052b5cbaae2329cf3d |
In the form stated, the converse to Quiggin's theorem is not true. However, if one requires norm-preserving extensions in the vector-valued case too, then the condition that {{formula:b17b09b7-f98b-4a3f-8ea1-67023b29e8c1}} has one positive square is both necessary and sufficient.
This was proved by McCullough {{cite:2... | r | 131cf4f90b785c7268d6d6a17820495d |
The proof combines ideas from the case of constant-coefficient homogeneous phases due to Ou–Wang {{cite:55e16caf0d8cc44e8abf528489a8922a9864cf82}} and Gao–Liu–Miao–Xi {{cite:b80c41226577baa0df1e3c503b4bacf203568fb4}} and variable-coefficient non-homogeneous phases due to Guth–Hickman–Iliopoulou {{cite:2826ba59b25ec5334... | i | ddd545a3cfea6a2e266b7e8f3bfe43a1 |
In all chaotic maps, we took (see section REF ) the same
initial conditions and the parameter-values detailed by Sprott.
The corresponding initial values are given in the basin of
attraction or near the attractor for the dissipative systems, or
in the chaotic sea for the conservative systems {{cite:8c56556860ba6a9480d5... | r | f795e7fe260b1fc133200e04baf15e10 |
A number of past works have aimed to combine low-rank approximation with quadratic trace estimation {{cite:9fc899f757370f29211328aec5d507fdc4f20dad}}, {{cite:647493c68bcb379525edf3b6d5a7b06ad9c518b7}}, {{cite:37ba4c9f12678ab99cab6b21c0eb3e4ebee89b19}}, {{cite:024465a29e3035ec18b4dc3592343db9c9b39dda}}, {{cite:1864d1e23... | i | 03181b7538645da5dbc42064dff609d2 |
Theorem provides some new information concerning Algorithm . Firstly, Theorem improves the known convergence factor in the literature; see our discussion in Introduction. In addition, it investigates the convergence rate for a step length in a larger interval. Secondly, it does not assume the second order continuous ... | m | b4aff16e9a9d1869f9e9073491ac6141 |
Intuitively, roles can be reflected in the network topologies, for example, leaders are corresponding to hub nodes of cliques and bridges between groups are corresponding to structural holes.
In fact, structural role identification has been studied for decades. However, despite their achievements, most traditional appr... | i | 822b9fc6d5ed2954e4d63f6ac784958a |
Table REF shows the performance of networks trained with different loss functions.
We found no clear effect of this parameter on performance.
Adversarial training did not outperform the other loss functions either,
despite an expected behavior during the adversarial training and good discriminator performance.
This ex... | r | 381fdb929fafa9b785b58905baa5259f |
Our work suggests that the distance between the average encoded state and the maximally mixed state may be a reasonable metric to quantify how well the quantum encoding preserves the features in quantum supervised learning. The result on the encoding concentration also motivates us to consider how to design PQC-based e... | d | 59e50e7547eff64c29f391c0ccd93512 |
While adopting state-of-the-art channel optimization directly can be costly, one may consider using cheap pruning methods and adopt a Prune-then-Grow strategy to carry out width optimization. We compare to magnitude-based channel pruning: network slimming (NS) {{cite:4997d399bb81d555d1c2d2362e08efc29ae1688c}} that prun... | m | 960c0f6bbeabf76cad43eb73ab97e255 |
The Lyapunov stability theorem {{cite:9bea6a5a43a42e58a128467b3c9d6cddb42998ab}}, {{cite:daaf34f62e926c18cd222b9ae9577c61cd69ac2d}} presents a sufficient condition of stability through the construction of a certain positive definite function.
| m | 9eb41e4644c87e5154b7a9e66d9ce740 |
The transductive setting has been the norm in the literature of learning causal relations {{cite:12ccf89d24f10a7b7333334cb1ada8ffdf9bbfe2}}, {{cite:d57f37bd4e868d989721477e1189b2287bcac599}} in part because the conventional setting of learning causal relations is similar to that of supervised learning. However, in obse... | d | d3647b5a38a3fc8697ad877050f44ae2 |
The simulation results for optimizing objective (REF ) are presented in Figure REF , where we compare vanilla decentralized (no compression) algorithm with our proposed compressed optimization procedure using {{formula:1b360bb4-3246-47a0-977e-acf6ffc525aa}} {{cite:da3d5c54eeb5513e41a6e6fef0c72c093aff3cf5}}, {{formula:... | r | 7739238d8cd5020fbcd97c2e6529adf3 |
One of the most challenging open problems in theoretical and experimental
investigations in Quantum Chromodynamics (QCD) is to determine the phases
diagram at finite density and temperature, and especially, to shed light on
the confinement mechanism. Asymptotic freedom in the ultraviolet (UV) supports the melting
of Ha... | i | 3c536d7f9442261111386ce590691878 |
Fact 2. For {{formula:d88e64e0-f84f-444a-9ebd-bc809c6c1dc5}} , the first return time to 0 we have (cf.
Feller {{cite:89b5ecf5693f1f5f6c12308271174383119799cb}})
{{formula:60cc27ea-1f81-43eb-9f30-bdca988d984c}}
| r | b6387cedcfc4c631f97e04455884d143 |
We will make a detailed comparison with the supervised baseline and state-of-the-art SSOD methods, including CSD {{cite:81f9b8f60372e3d7e860af84f1ea84439adf582e}} and STAC {{cite:387c0489773ea1559e12ac452d53db7504596ff7}}. The detailed results are summarized in Table REF and Table REF .
| r | 6e214a760c5eeb0bc0ee8e7a2e914f44 |
The results of this study show that the best performance is obtained by Noisy DQN for base approaches and Averaged DQN for the proposed method. The novel improvements and extensions were implemented to DQN, such as Double and Duelling DQN, but these two extensions could not perform better than DQN. A general assumption... | d | bde319a87c50704964d374020348b417 |
To the best of our knowledge, there are few truly unsupervised methods that can work only with the image being inspected, with no prior training or information about normal samples, as shown in Table REF . In order to compare our proposed method with the state of the art, we use MVTec AD {{cite:0133bd9b3894681221d68049... | r | 4ac8dc5f9bb54a174b63627c2ee75daa |
The optimized adaptive response possesses high sensitivity (large {{formula:a30c2196-f40e-4cd6-afd9-6286e9b4bed2}} and {{formula:120c0f26-7aec-4d6f-81c2-824fe4f6d95f}} ; Table REF ) consistent with experimental results from E. coli {{cite:3f68767a7b823cbf6f5bcbf407064015abd0b987}}. Furthermore, {{formula:97f223ec-b481... | d | 567f3cbd9b00c5c2531114d3e63f040d |
If the cumulative distribution of the measurable polarizations favors
the SO model,
the globally ordered magnetic field would be advected from the central engine.
If we understand the strength of the magnetic field in the emitting
region from the luminosity and the spectrum of the emission,
we can constrain the strengt... | d | 3c913bda05d3fce78b5ff8c554658aba |
Unlike previous ML-based proposals for TE (e.g., {{cite:7aa6567b40854cec64ad119fd1a7d170b91bb85f}}, {{cite:208d253150d6b2cf70e69f78ad56ec73a96b1c2a}}, {{cite:0be0392e4f0b1d66617a4df8bfc8f628aded22ec}}), the combination of MARL and GNN allows us to handle topologies of various sizes and structures in a distributed fashi... | i | 1564ace36246080c79604b53ef9a03c1 |
Our result also has significant consequences on the kernel machine side. Path kernels provide a new and very flexible way to incorporate knowledge of the target function into the kernel. Previously, it was only possible to do so in a weak sense, via generic notions of what makes two data points similar. The extensive k... | d | 4c461293c8180a65d11874b2c1c9b58b |
In a recent landmark study, De Fauw et al {{cite:423f0646c8776cd6ad6dc50dbfb590eaac76ab9f}} proposed the idea of using device-independent representations (segmentation maps) for the diagnosis of retinal pathologies from OCT images. However, the study was not truly device-independent, as, even though the diagnosis netwo... | d | a66a7cb782fddc5344bd9597acb7ee96 |
Our proposed ultra-high resolution image segmentation framework follows the three-step procedure as shown in Fig. REF ), which is consistent with the common practice applied in prior works (e.g., {{cite:db8bd1ed1d1b5f8c1c5223ad9bc09c0ee3e48e27}}, {{cite:f73660919314bf76225c82bbefd1ca36839971ca}}).
First, given an ultra... | m | 3bd7a66c24220a3684321910c24df40b |
The proof of Theorem REF used the
compactification technique of Section to
show there is R-tipping in the nonautonomous system (REF ) by computing codimension-one
heteroclinic connections in the compactified system ().
A similar approach has previously been used on a case-by-case basis to compute critical rates in sp... | m | b7f9f0e615402442ccd446e0e66fda8d |
We can observe that the jitters in a video are highly-unbalanced, where most frames suffer from slight jitters while long-term significant jitters will be accompanied with large biased errors.
SmoothNet can relieve not only small jitters but long-term jitters well. And it can boost both smoothness and precision signifi... | r | 4836534862ed325fc9190605e97a6a67 |
Implementation Details.
We adopt ResNet32 {{cite:313423244e1db145d03a9d1ad986ffecbe08c8d6}}https://github.com/arthurdouillard/incremental_learning.pytorch as representation model architecture on CIFAR-100 with 64-dimension feature space.
We trained the model for 800 epochs for each task using Adam optimizer with a lear... | r | 64b10ac847bed7c4f62cf77e9a9d84aa |
To evaluate the architecture modifications, we chose BERT {{cite:a450814bad95b0b3f95935f126f3a817cb6e6482}} pre-training and fine-tuning. The large dataset and challenging training objective mean that task performance improves consistently with model size {{cite:ce3432022cc8dd1e35eb2e79db969353610fd358}} and the risk o... | r | c58f435518b84bbd29caebda5626bae7 |
Motivated by these observations, we propose an open vocabulary object detection framework that can be trained without human-provided bounding-box annotations, by taking advantage of the localization ability of pre-trained vision-language models. As shown in Figure REF , we design a pseudo bounding-box label generation ... | i | 6d607ef7b8a53e870337cd4586145318 |
{{formula:3c3f2970-69f6-4832-8a41-250ecb33310d}} Comparison on 12 Most Frequent Classes of EPIC.
Since the data distribution in the EPIC {{cite:b126be848c038f1faabf88bc213f5231e8e44dda}} dataset is highly unbalanced, e.g., the number of samples for some categories is less than one percent. The experimental results... | r | 54ea8e265c2f8b4b49848897f8b9f4b4 |
In Loop Quantum Gravity (LQG) the spectrum of the length, area and volume operators are famously discrete {{cite:2065d1f78a8d545a918b0ed1f3316eea26326268}}. Discreteness of time may arise in a similar fashion from this theory, although nothing has been proven yet.There is also a debate on whether discreteness in the sp... | d | 8e2c22b24814e34c0891b90972c7a641 |
Main Contributions: We present SLICER, a new SSL algorithm for learning general-purpose audio representations from un-labeled audio that simultaneously learns instance-level discriminative features and performs online clustering in a one-stage and end-to-end manner without any extra overhead like an offline clustering ... | i | 515845a63db2ab18a4f8cb0d84e961aa |
Progress towards this conjecture {{cite:1fa8e25a33309e394573079bfebb0a29e66e93d2}}, {{cite:a795bdc1a2b4f5d233796a330b0345e23ea2fcbc}}, {{cite:5dd49eff7bd20898c39e471818a067abf863d24a}} culminated in the work of Bourgain and Demeter on {{formula:68e99562-3070-4b04-aec4-112f54a4f053}} -decoupling {{cite:b34895c7cbc76ab17... | r | 0c6161a5240d84716c82fff756ec39f5 |
The problems with applying sampling-based inference to GroupMatch designs with trajectory replacement are quite distinct. Here the primary issue relates to the unknown correlation structure for repeated measures from a single control individual. The literature on matching with replacement provides estimators for pairs ... | m | 03fd6c31709d7e3a193dbe91fbe40331 |
Calculations' details.
AFLOW {{cite:c90460554a25090d910654e6f07fae7683ef0499}} leverages the Vienna ab initio simulation package (VASP)
with all calculation parameters following the AFLOW standard {{cite:71f759a8daf68735d8dc22dc71ab6285a69fb4f6}}.
Exchange and correlation were treated with the projector augmented wave ... | m | e7c7de0d64a2031f04746f72f0eea6a1 |
We study separately the cases {{formula:50512487-1c45-4807-982a-6f2009168003}} and {{formula:933a7790-d713-4cb7-8635-03e9e8dcd5fb}} . For {{formula:26f37c0f-102e-46ce-af5f-ce22f2651533}} , we have that {{formula:fb0c2998-cfda-4c7a-bacb-12dc92046ee6}} , so
{{formula:587f9ec4-ddb0-4154-a878-da041fed0b78}}
Since {{formu... | r | 4c65a22962ffed681aa17124187424fa |
In fact we did run a test for the “Stochastic binary quantization" method in {{cite:e231e7169650e9e966492e40f36a892e429f7832}} on ResNet-50+ImageNet over 16 EC2 p3.2xlarge nodes (per node batch size 32) as it is the computationally cheapest methods proposed in the paper. Though it is showed that conducting random rotat... | d | 89d8f7bc7b9d444f3e5c9ce1636d65fb |
While the above calculations provide transparent intuition on which to base algorithm design, our proposed algorithm is the stochastic dual accelerated method (SDA) presented in Algorithm , which involves a more sophisticated (but still simple) iteration. In particular, it relies on Nesterov's accelerated gradient meth... | m | a02e34b29acea9a8471f2f13d5edc69a |
LDAMP{{cite:487eee8e8e792d6c8e68fbc2107b8f976df28213}}: An end-to-end reconstruction network built from the unrolled iterative image denoising process by replacing the model-based image denoisers with neural-network-based denoisers.
| m | 425a2d56c657343f5af286fba6af3d80 |
Different distillation methods.
We also compare MTD loss with other knowledge distillation methods, namely knowledge distillation (KD) {{cite:fb1bc133d9d95b96330471e11b66898eb8208efe}}, relational knowledge distillation (RKD) {{cite:74d6229ec1a6a47c49ff7e2995c190495651663c}}, MiniLM*, LAST-FitNets and SEL-FitNets.
Sinc... | m | 169d03b7568f6a67f021ab54fe6738e8 |
First, to see if similarly embedded nodes have similar structural properties, we perform the following analysis:
(1) For each node {{formula:5474075d-562b-40da-98bd-468928a157a0}} in graph {{formula:57a0792f-9450-48f9-8db1-9350963dfdbb}} , we calculate a property of interest {{formula:13f0bff0-95f7-450d-bda5-7863b19cc... | m | eb2212230bd1466108d5d07b36dda55d |
resnetbackbonecompare compare the two methods using the same teacher and student's backbones. It is obvious that LAD and CoLAD are superior to LD in all cases. Moreover, our LAD/CoLAD is very simple and can be adapted quickly to any single-stage detectors without architecture modification, and not restricted to General... | m | 61fc18bcc71897b91982315f08501c3b |
In previous work on uniaxial pressure tuning, it was observed that, sharp superconducting transitions were only seen near zero pressure and near the Van Hove pressure, where {{formula:66e6026a-eed4-4495-bc7a-3dca347d5c43}} depends weakly on pressure.
In contrast, at intermediate pressures, where the pressure dependenc... | r | 79cf1d002e5c159972796979cc341ffe |
Thermodynamics can be derived by using a statistical description of nature. However, how to give such description in quantum systems still remains an open problem of fundamental importance. In particular, several attempts have been made to describe the work statistics, after the two-projective-measurement scheme has be... | i | 673c416c1a1c85a4877ebf17f43dfa19 |
We propose a new method for predicting accurate egocentric body pose by leveraging the estimated scene geometry. An overview of our method is shown in Fig. REF . In order to train the scene-aware network, we first generate a synthetic dataset based on the GTA-IM dataset {{cite:b6473723a1d091de474324c8e09bad93ee65fae5}}... | m | 224bf5dcd77ac0d0ec72f87718d42817 |
Events aggregation.
Instead of relying on raw asynchronous events, recent literature has shifted toward aggregating events together to build synchronous events representation. Common approaches range from simply integrating batch of events (constant-count) to representations involving stochastic modelling of events {{c... | m | 00e10d01ef9cbc2714f5fed6fce1c459 |
Theoretical modeling: Mechanical properties were obtained from the generalized stacking fault energy (GSFE) {{cite:c64a8f8b7809c54d94abeae80a316b2ade9cd1bf}}, extracting its parameters from DFT calculations as implemented in the VASP {{cite:f4a5fc376d63b93b1f9a9f187534753e4e3b45d6}} code. We used the r{{formula:cb39900... | m | fee26d04cdc90037e6adbdf1411ceb15 |
Incremental motion based approaches recover the calibration parameters using the well-known hand-eye calibration formulation, {{cite:880d9602a03fcc92451c29228aad2df8ffd9808d}}. The calibration was estimated between a gripper (hand) and a camera (eye) by moving the gripper in some trajectory, while exploiting the fact t... | m | c805664896ecb4c804fde35ec318eea4 |
Our methodology follows previous work {{cite:b9e8487c0736d7ee8e2cb00da00c7e3b40453fe0}}, {{cite:2035e98c3dc64d7b0c45c8194384ecf83dc9cf0b}}, {{cite:334daecccbf7372d996e258cda3cb9e4d5b8db83}}; we
work in the {{formula:53e1d8de-b982-49d1-938c-0c71dd51c715}} -{{formula:99475cec-9b8a-47b9-a77d-954f65a1ee17}} valence space ... | m | a227592e00b47e541baeaa2b8a512e09 |
We defined a new congestion model through diffusing particles with drift. A non-congestion phase and a congestion phase are distinguished in a phase diagram. We find different roughness exponents, depending on whether the congestion front forms reversibly or not. The roughness exponent for the immutable congestion fron... | d | ebc6486214af823e0e8804c14e21fe14 |
Reconstructing trojans:
We tested feature visualization with a Fourier parameterization {{cite:be8bea28b3a4ee99f3263106ae2d103ffeaaf50d}}, {{cite:ad5d6cf595ac0723b80d7d5d6d311fa4d9b90cec}}, feature visualization with a pattern-producing network parameterization {{cite:ed4a5bda053676849841061978f2e84a45b1c461}}, {{cite:... | m | ac2676b93820bfae1c8a07867935b82b |
To begin with, following Madelung {{cite:f7e7306d98920e7c7f99088ff9cdfebbbb003833}}, we have decomposed the Schroedinger wavefunction into amplitude and phase (see Eq. (REF )). This decomposition renders the usual Schroedinger equation strictly equivalent to the set of two equations (REF ) and (REF ) (the continuity eq... | d | 6c3ec272dd08eab17619554b80ee6600 |
It might be interesting to look at the fate of the inflated envelopes in close binaries, since {{formula:0eee9740-494d-405b-a41b-2ccdc78d3eba}} % of all massive stars are believed to interact during their lifetimes {{cite:52faf65d3f53a9e62e14b8a44492e68fe8b73f73}}. The loosely bound envelopes might help to stabilise ma... | d | 8ba1e6aa1f0609b3b779824d7c5607e0 |
To alleviate the above conflicts, it is important to introduce a new modality transmission scheme, instead of embedding them individually.
Inspired by this, we introduce the idea of full-duplexOn the same channel, information can be transmitted and received simultaneously {{cite:3b8be6a1236cfa4d365e2ddffdc9272e1028434e... | i | 07005dd7dbe05ede3d0ef200dbd756da |
Similar to other counterbalancing methods, it is possible to apply our proposed method also in multi-class settings, in a straightforward manner. Therefore, one can simply choose one of the existing divide-and-conquer methods, such the error-correcting output codes {{cite:828885d641e35d111c8733e0625e481c72d31785}}, inc... | d | 5a1c24d36451a90fb2f8fdc2f4c2f167 |
The main mathematical aspects of the present paper have been presented previously in Refs. {{cite:4d3e857155d6f1c754ab07d99b3350eab47d6129}}, {{cite:5a1a6915871e9356d60cf414e99490fd95281def}}, {{cite:721a2652ff4e4bc530f54d699fa51585e7dc7e8a}}, {{cite:a439af457967f75efb93a1494b9be165532dc946}}, {{cite:17ebe9e111b4ee77ef... | i | d8636497e52da08d2c765981f38b94f6 |
The step initial data effective hydrodynamic result is present in the literature. We quote {{cite:b6f89f436802ff55a34ebd1a3db4fcaa3c6a2b9e}} and {{cite:32bd09891a3d153777db66998111bd393109ec02}} (see l0estimate below) for this result. In fact, {{cite:b6f89f436802ff55a34ebd1a3db4fcaa3c6a2b9e}} essentially relies on {{ci... | i | b4169529f8777260c2ce794521ff326a |
We employed Yakhot and Orszag's scheme of renormalization without rescaling and obtained the renormalized surface tension and the strength of the noise correlation for the surface growth problem governed by the KPZ dynamics on a flat substrate. This scheme of renormalization is slightly different from the usual perturb... | d | 50d6459feafce6fa82bff8a0274a117d |
Similar to the celebrated {{cite:4250787df5a9bc53e1d09c44f09fa88303d28eca}} and {{cite:67a2108230df71762d46f69677a80a4251f16a01}} approaches, LLSM is formulated as a backward recursive procedure. In its first step, LLSM estimates the conditional expected option value via simulating paths. Based on these paths, regressi... | m | 5cc44a2a472baf85ed617c530aa27822 |
This paper has focused on the conversion of dark energy into thermal radiation through technically natural couplings between a rolling field and a gauge sector. These kinds of couplings can also source another class of signals. Tachyonic instability {{cite:05126e728efeee453a25aaa16efce5b42bd00825}} can result in the co... | d | cacc5b8d405e6b031577f81de9ae0e8f |
where {{formula:fa75c692-d3d5-4057-b2c5-8c1866a43a0a}} , {{formula:5ee6020d-b94b-4da7-8bed-7cab6a0eac43}} is an initial point, and {{formula:8de79e4b-1325-475c-a4f7-2859bee0acf5}} and {{formula:f79c18f5-8073-416f-b521-ef8ab7eece1d}} are two given step-sizes.
Here, we use two different step-sizes {{formula:65ed4a39-b... | m | 91181f3a1ecd2112cc9a9c0d6ed63fa0 |
Korteweg - de Vries solitons are very interesting non-linear waves, which may exist
in many types of fluids from ordinary water to astrophysical plasmas {{cite:1ee112e972593e4a0627999bd6c7ccd314265a95}}.
In the last years
we have started to produce a new kind of fluid in laboratory: the quark gluon plasma (QGP).
This i... | i | 5e30345725c4da8b4f0f941cb9f56913 |
Topologically ordered phases are novel phases of matter beyond the paradigm of the standard Ginzburg–Landau theory {{cite:4ba1ed9506ba5c7419be550971f435bed0bbc0c7}}, {{cite:743f9e91bd3b85e105328aece9d05b677cc282ef}}, {{cite:bde79848cf6dabb5647a7c9eaca5a01f590bacb7}}, {{cite:bbe66638dbe9404addf3a0898d6c3a725cc39a66}}. T... | i | b3ae536c39ab38b294b233caba96ebbb |
In this study, we propose a deep learning approach to segment 30 deep brain structures from T1w MRI (Figure REF ). The method consists of a pre-processing step to transform all the images to the same reference orientation followed by a CNN with a 3D U-Net architecture {{cite:e8b895a4afa765f6602df8f798e3b40b1da6ceb5}}.
| m | f71e47356a7c7d7758e088e9318dc8b8 |
Language model pre-training is an increasingly promising research approach in NLP {{cite:04a2781326d52b4ba14cb7d6364342aa0c9011a2}}, {{cite:efe5fb07b628288b79111f8a607e54351ecbc15c}}, {{cite:e5342cdaba03943887f17bc916ee739116025f74}}, {{cite:33144dad89bf6ef6bc9a65e6af1f18554995448d}}, {{cite:6ef9e991a2f5981ff0bae19644d... | i | 33ad649a57fb71155c9915e045b96b0e |
We identified a sample of 85 ULXs that exceeded a 0.5–8 keV luminosity of {{formula:4fd01bc1-b5ec-4399-9249-f04c97877e64}} erg s{{formula:fff9ebaf-4c2d-4da2-aa42-a67f73f67cfe}} in at least one observation, and determined their coordinates. We fitted the spectral parameters for the most luminous sources (25 ULXs with ... | d | 704e1ea125d8bfc0b1a3be49b0254387 |
We then evaluate and visualize the community detection results based on the social graph we have defined for the Bitcoin data.
First, we run the Elbow method in Ref. {{cite:f38dec820888c8f10c28f363bee98325f4d6e75e}} to determine the optimal number of clusters {{formula:72d6b0d8-b395-4c59-9b5f-0cc97e8e5858}} . Fig. REF ... | r | ba56b6949a84c39bb3a9def2430bd162 |
Movements of a robotic arm, rolling ball, or falling chain can be characterized by rigid body motion {{cite:cba85e806f97967bc527965a380459f50d4854b3}}, {{cite:06c92ed48831493f57800069dca4cef5ffea982b}}. Understanding the dynamics of the motion is crucial in several applications including robotics, human-robot interacti... | i | d62b6c13aab9a6ddb3de2a099b6c1c77 |
Global UniBlock vs. Perceiver {{cite:1595feb9ef3f415b99c5713cbe711ad48b82f28f}}, DETR {{cite:82ae3fdf7c3e90df45eb6691411755df178e888e}} and Flamingo{{cite:234b579b34fd0ecd65340241f30d2b4a8104d77a}}.
Our Glocal UniBlock is also motivated by the style of UniFormer {{cite:c95d8931cb36d5f728d2681dd3041ca4f63e8867}}.
But di... | d | 1c1bd72faa5181fb6881fef4cb1bf980 |
Information theory provides an ideal framework to study interdependencies in multivariate system, which establishes the notion of information as a common currency under which diverse systems can be measured and compared {{cite:4b076bcd7a65c4bb05958e348e6d870af3598e44}}.
A particularly promising approach for analysing t... | i | 0d289d3c0702ecb6dc2dee37583abbb1 |
The rapid evolution of neutron-star (NS) astronomy in recent years — in particular the recent NS radius measurements {{cite:40923280e845f9f9a059d06e8d487153065572ef}}, {{cite:ab190a9f526d605911014126dce9189df7371753}}, the discovery of massive NSs {{cite:7ca1557218299911537a480072de16844846fcd8}}, {{cite:c88f385752ff05... | i | dceaba9f9a688cd1e028d13eb8a46c05 |
In this work we have reviewed and extended the model for spinning extended objects introduced in {{cite:4cd99184ea4a6182c4e2881c0dfa653978ae781c}}, which is derived using the tools of EFT known as the coset construction {{cite:b6ba598e70a419bafcaf21b113c6831bd8ff2aba}}, {{cite:0847b75e121e4cc719a9d47ecd0e2d5db1aefec7}}... | d | 9644f017bdd911b7d46025a45cd079b8 |
As observed in the Fig. 1,
the structures are mostly
clathrate structures formed
by units with
La@H{{formula:c948df98-bdc4-4447-9889-32c6a984808a}} and Y@H{{formula:33f36655-3814-4ad7-9fb1-5536c602e44f}} cage structures.
Several other clathrate superconductors
have been identified,
{{cite:49ba82fbb0de5ff51cbb3c0764... | r | be6a3c41466b2e47a974e23d50c6cc68 |
In this section, we systematically evaluate the performances of proposed tp-training and ml-training algorithms in expanding the set of labeled nodes in the context of the node classification problem.
We start our discussion by describing the datasets and our experimental setting.
Next, we analyze the performance of th... | r | 0dfa30dd3ea17a59ad6ebbe3bba39630 |
Numerical experiments are performed on the DARP instances presented in {{cite:a11180c4860a562f7934856c08d98d76ce1d1b05}} and on the e-ADARP instances presented in {{cite:7ab4fa5a76aa5ff7b1d9e2289c1ce403187d3cf5}}. Specifically, we extract routing solutions by employing the adaptive large neighborhood search in {{cite:0... | r | a3967f64db740b09973a25838eace49f |
An important implication of our results is that the dominant heating
mechanism in active regions cannot be both highly concentrated low
in the corona and steady or quasi-steady (slowly varying or
impulsive with a rapid cadence). Active regions would look much
different if this were the case. Loops resembling our models... | d | a013c8bcd74d890d1822ca1c8e688c7c |
As shown in Table REF and Table REF , we provide more quantitative results on SPair-71k {{cite:a0b06d5bbbb5deb7cbd38cbd596fe7a034fba0fb}}, PF-PASCAL {{cite:e8481382941710272b474d410f4d4852c2713868}}, and PF-WILLOW {{cite:4e8483ef4ace861380bc5c0035bc9cb19b625fa4}} in comparison to other semantic correspondence methods,... | r | de86173d7fafc819294f5e570c1f1425 |
(R1). Here we analyze the forecasting results on the different datasets at horizons 3, 6, and 12, respectively. For reference, we also add a vanilla LSTM {{cite:1f803f06c1279687a4ac61968f14d53c005b1b84}} baseline that jointly forecasts all timeseries, as well LSTM-U, which consists of {{formula:0489667e-d602-40b1-bb89-... | r | 571940dacd126eb32bbe06f03576c9d8 |
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