text stringlengths 54 548k | label stringclasses 4
values | id_ stringlengths 32 32 |
|---|---|---|
In two and more dimensions, specifying the local dynamics of the domain is insufficient to prescribe the domain's evolution in time.
Here, we have posed irrotational growth and no tangential movement along the boundary, which may be interpreted as the flow being generated solely by point sources of density scaling with... | d | d73febb306a91b7776e5075d72c033fe |
see {{cite:08787e906001948882d06cf621f9f954ee41b83f}}.
| r | fbed4da853549c30069c5c0539bd48ba |
Exploring the human body pose to improve re-ID performance has been a recent development. Many previous works have analysed the dependence of human pose in person re-ID {{cite:81f9d94eaf4f06a8da212ea87ec52d3620703faa}} {{cite:ee93202333c4d9a9e8e9255c5607b740525e0681}} {{cite:ab311a035c27874e7330c101b1cd7caf6eb6129a}} {... | m | a7a00ae64927d357e4dcafa89f835f4d |
Our in-house arithmetic dataset comprises of numerals modeled after the numeral distributions in real-world datasets DROP {{cite:c5c689cc5089b9fc82ddd646b7a0b7e45829f404}} and EQAUTE {{cite:342dab5fac2b84291556f0c76fe4d19ebc375ac8}} (§Appendix 5.2) with 21,838 instances of arithmetic computations. All models are traine... | r | ea818c580c016b90910f3eaca1a4e257 |
Table REF is a comparative study of our approach against two different versions of RRT {{cite:9eac5f771c68018db192ec0f42353a5169ffac34}}. Due to the complexity of the problem, existing baselines like RRT do not work well when directly applied to the problem. Hence, appropriate modifications were made. The sampling for... | r | e9aa7b0846b528af30cd456c55edc5e3 |
In rotationally supported disk galaxies, the EFE causes the nearly-flat RC to decline at an acceleration typically much weaker than {{formula:7860cf64-b6d3-4960-9bce-8efd5c8e1c6f}} . Weakly declining RCs in the outskirts of disk galaxies have been reported {{cite:ee5d49ea13d216c0cf5c7f63b83d24231db95d0a}}, {{cite:ba67e... | i | f2d94cf6d5710756583a5cde32b02938 |
Spiking neural network (SNN) {{cite:f4375b92f2dba80c2a37fb2927639a862b2a7787}} is a machine learning technique designed using spike-based computation and bio-inspired learning algorithms {{cite:055f9523f30873111f8be6942d44f34558486607}}. Neuromorphic hardware such as DYNAP-SE {{cite:57356ae5dcd5f56f01c6cbd0ff0bf51e6a3f... | i | cebd8c57e510074ab00ce5219b4c86f4 |
Deep neural networks have shown great success for numerous tasks from computer vision, natural language processing, to audio analysis, in which the underlining data is usually in a regular structure such as grids (e.g., images) or sequences (e.g., sentences, audios) {{cite:ce641d86918411c930772ddbb99165b3bb53f45a}}, {{... | i | 43e9b6533da1a0513f7df002d7a6d4cf |
Conventional background subtraction methods use the average {{cite:e7a125d92db767976d537915faa1da390c3908b5}}, or the median {{cite:22c156a787b75067883a25439ca5dda801a540ef}}, or the histogram over time {{cite:f066535af0291379971054462be96fde285717ef}} to represent the video background. These methods can be easily imp... | m | e450ffe0e6659c106f4639f327325afb |
Although U-Net {{cite:bf6b58407f2e45ba535032e30bbd065a20f2e216}} and its variants have already achieved some great successes, their segmentation accuracies for small objects in medical images are still unsatisfaction.
Specifically, in the context of medical images, the objects of interest are often relatively small, e.... | i | 83b878b60bf83a79ce8045171b7f4817 |
For classic fixed masks, we consider four categories that are widely used in the literature: Cartesian {{cite:c51f8b916aff8f046af9c6396974ea337c57ff8a}} with skipped lines (dubbed VD-1D), pseudo Radial {{cite:9218f3b3524dc07957d3ae5d691f273bc2faa21e}}, Random Uniform {{cite:7b20b884507f5738df272ff9575f2a567f51b57b}} a... | m | b65a19683856c9c386cdda46396fc72b |
tealThe ubiquitous synchronous training. One way to handle such issues is by utilizing asynchrony instead of synchrony in the learning process.
To explain the main differences, let us first set up the background.
In a synchronous distributed algorithm, a global model is usually stored at a central server and is broadca... | i | 0782e8db63d85bed4ddca9b40502c90a |
We choose several representative models as baselines, including PBMT-R {{cite:40673a356706479b6a174f35f9903b3a7c378093}}, Hybrid {{cite:2df9c76116fa00650fe84dec6e6d2caf2c15a36d}}, DRESS {{cite:b9080c22ea258b87fcea19f47f91d31717c7622c}}, DRESS-LS {{cite:b9080c22ea258b87fcea19f47f91d31717c7622c}}, EditNTS {{cite:0907e621... | r | 6e02b81cb4aeb784b81dc90210a71069 |
To compare with the methods using multi-crop augmentations {{cite:9ecad5435323d6441bb1a523dbc3798b2bd5243f}}, we have conducted the experiments following the same protocol used in SwAV {{cite:9ecad5435323d6441bb1a523dbc3798b2bd5243f}}. The results are shown in Table. REF . We outperformed the other methods in this sett... | r | ec4132c10a0b285f2f7e3800bc0c057e |
The curve considered in Corollary REF was originally considered by Gauß in his last diary entry. See Chapter for more details. The following consequence given a precise characterization of the Mazur conjecture for anomalous primes (see {{cite:c78aa9f5376e4dd6c77a5ece32adc45d955ae1f5}}), and we assume {{formula:d9b2d4... | r | d842fceebd5213805817a063e95441ab |
Clearly if {{formula:4a772c45-a340-48a5-9b14-0d47be1f5f32}} , then {{formula:7a97d69c-ef5e-44a9-9652-29784d9cf175}} .
On the other hand, if {{formula:5d19ea2c-ce20-4c16-843b-b148478f805e}} , then by {{cite:0ad2985a53abd04328bb9ee6044f39c74d8da4fc}}, {{formula:19db8855-10b2-4200-803d-f1a0fd58c2e0}} . Hence by {{cite:0ad... | r | c2f5515800c1d0eae362aafbb57056cc |
With respect to the difference between Theorems REF and REF ,
we first observe that {{formula:6456fe47-98b7-4035-a230-0265a557448b}} is recursively enumerable but not recursive while the
{{formula:a4fd6e63-97ac-4b0a-bdbf-f870e24d66df}} language is not recursively enumerable
(see, e.g., {{cite:1e7e1f52daf3d8d830879f3... | d | 2316523059aa00fed6881613b1433fa1 |
In section REF , we will perform comprehensive fits to relevant data available in the vicinity of {{formula:fa05511b-0ed5-4335-bfb2-a17971e038d3}} , which include the {{formula:f44316f7-983f-4f00-a892-8d59b8e5458b}} {{cite:825e83adb73025c10456b9ec3fffa26a49538f45}}, {{cite:d6b8840089cca0edbcfac217cb072dc1751e03fb}}, {... | d | 9c84abf6664f0b1d6274d502ab126689 |
In nature, the Unruh effect is established for quantum fields. The action that the Fulling-Unruh radiation superimposes on the quantum fields behaves like a noise, which leads to the irreversibly loss of quantum information encoding in the quantum fields {{cite:0cc8cb524a3bd1371105f030e8de3da7f683b659}}, {{cite:1a2e5d8... | d | 0c628f68465ea64f33bce0f171be07c9 |
which exhibits different decaying behaviors on different sides of the localization
center.
When {{formula:b3984d1f-eceb-4865-908a-b3bce3f5f67e}} , delocalization occurs
on one side {{cite:f7f66497f2c5a623cd63f4e9f00006e2d70c9e97}}, and thus the transition point from the localized state to skin state is given by
{{formu... | r | 6998cb6d31f289ac8e78bf75de169c6d |
Let {{formula:b2e8d19b-309f-4b95-9ee7-42e08207e299}} be a {{formula:38449de4-ac3c-4d08-b135-9616a8c14440}} Haar distributed random unitary
matrix. It was shown by Voiculescu that {{formula:5381e690-eb4f-4563-92b3-4a6be2bb014d}} is
asymptotically {{formula:fbbd4f16-85b9-44b0-8a10-a0170c386b3a}} -free from constant ma... | r | f54f47f0fafa3744ac650ec72ddae864 |
An attendant problem is how to identify reliable discriminative features with attributes which might be inaccurate and noisy {{cite:5ac0922ac0307e22ad37c50558a759d5b81a2cdc}}.
To alleviate this, we further propose a novel loss function (named center-characteristic loss) which encourages the selected features to capture... | i | 1e9072c514b39b7cc632ddccf4a4d428 |
The combination of deep learning and SLAM, also known as Deep SLAM, is yet to become the default SLAM strategy but has received considerable attention in recent years, especially for vision SLAM (SLAM for vision sensors). The idea is often to maintain a traditional SLAM pipeline but to replace manually designed models ... | m | 6df9fef0c57b377cece9fccc19c58d33 |
We first study a naive lightweight network
by simply combining the shuffle block in ShuffleNet
and the high-resolution design pattern in HRNet {{cite:93e8e013ac8c1f7ac9d0c5ed8ee58430585373c0}}.
HRNet has shown a stronger capability
among large models in position-sensitive problems,
e.g., semantic segmentation, human po... | i | a922bf9d26bbc6ffce324b8fecfbf724 |
The accuracy of supervised image localization methods has improved dramatically in the last decade {{cite:efe4b4a82e3945236dc3dac0ad43373f51bd0487}}, {{cite:dc0b52ab81a154ce3af1b43a21f7b28032bc5339}}, {{cite:aa039cca9efc627d04d35b591dc66af2c8b627b9}}. However, these methods rely on bounding-box supervision, which is no... | i | 546aff1dc724c53da5be323859d4a46a |
It is well-known that Walsh-Paley system forms not basis in the space {{formula:b305721d-2b02-47fb-a519-1059f2ad3a11}} Moreover, there is a function in the dyadic Hardy
space {{formula:c44b3720-e199-4810-b2b1-323c20d947fa}} such that the partial sums of {{formula:10c99383-e596-4ae2-9b17-9b984713b473}} are not
bound... | i | a7b666a150a5c58c591373b7728f7bf8 |
As a probability distance metric, the Wasserstein distance has been widely used as a measure of the deviation between estimate and true distribution in the distributionally robust optimization literature (e.g. {{cite:70a49a59a9d312283569e1c689732ee5c51cbb7e}}) to represent confidence set and it has demonstrated good pe... | r | 448a9e02a63340e87323efe96c6c8911 |
Therefore the first statement holds. The last one is consequence of (REF ), Theorems 2.5.2 and 2.7.1 in {{cite:d6347f0b58f602dc8ca07edb317ab0d1721bea31}}
| r | 01c5627f2aa0057810f39847251f9bf2 |
{{formula:1731941a-d034-418d-96d2-c8ffabef56f0}} uses BERT {{cite:cb74a0406b09b65d826e21f0da7cc69a37de7380}} as the encoder. Specifically, we follow the way described in {{cite:7271118a2727f75be664c2c69f7b3e1de0475787}}, {{cite:31985714c0bd43b93fce5bbd0e79567cf9cee2f6}}: entity mentions in sentences are highlighted wi... | m | 98411428abbb253a340f9f0a9f5d7708 |
{{formula:130bbbb3-1471-4f57-8e0e-895013fe1297}}
{{formula:8b58e681-82e4-4d50-9abf-709831e5d3f4}} , where {{formula:a2ad15f3-a439-4cfd-bdb4-5a2fa05081fc}} is the Cheeger constant of the graph {{formula:785a2867-57d6-41be-ae2a-697223111f01}} . {{formula:fbaf501d-89d1-4e43-a755-e4b480589f08}} is defined accounting for ... | d | d2b90950f0df14fae1def1a97558a820 |
and centered forms are already
mentioned in Moore's book {{cite:3f9d7519f2f960e77d0b002d870f9c396e29bd29}}. They
have been discussed in detail in the interval
arithmetic literature {{cite:908141d5db41aa423cf3239464520fd454f56715}}, {{cite:4d92149cb8d66e25496e69226b64085eb2648e10}}
and have generalizations called Taylor... | i | afa955890e5e4221fb979ab7ddfc2dc9 |
The first step in our analysis is to determine the values of {{formula:27862f58-1899-49ca-8be8-26c75d98d2b7}} and {{formula:baa08aed-b97b-45d5-9ff6-552252505fe7}} that are consistent with CMB data, without reference to {{formula:507f503e-e2ca-4ed1-bb22-036150e971b6}} . To do this, we carry out a series of Markov Chai... | m | 0663704da8b092329006fe695b066252 |
It is important to choose the bias term in the FP8 format properly. We see in fig. REF (right) that the standard fixed format of setting the bias to {{formula:1c1d31f9-4f98-40bc-8a26-3a21294dedfc}} can fail. This happens when values are either clipped too much, or not enough grid-points are used as the representable r... | d | eecd15581d329ffd7e0e85a06b65af45 |
To find the best hyperparameters set for GBM, we used the Bayesian hyperparameters optimization package hyperopt {{cite:f85ae49ace9afdb85dae61352319d385cf25ddf0}} with 500 trials. Each trial maximized the AP on cross-validation. In the case of CNN, we also used cross-validation and built 5 models. We used the snapshot ... | m | 83ac193c73f84d2cf030aedcde8ea129 |
Field dependent isothermal magnetization, {{formula:4bd7e941-8996-47b4-be2b-4f44d3b3015d}} , measurements are carried out at different temperatures to further access the magnetic state of our polycrystalline Mn{{formula:96060fcc-75ae-4396-aef8-b9a2162f9bc5}} Ga{{formula:4ad9bf9f-7482-4ecd-b1e1-2b1e659ded96}} Sn sample ... | r | 5eaff2a39fe5c77725b5d042ce312777 |
Treatments of QED radiation based on collinear approximations are included in all of the standard general-purpose event-generator programs {{cite:1c69b1e1513c8b5b5a0bc957ab500896b8033e97}}, {{cite:386732ec81bb90ed2939e9aca3f37fb55cad7ecb}}, {{cite:53227a321c09c9a5046a22985b7e13276bcec6a3}}. Modulo corrections from fixe... | i | 798a8101cfb1a673bce100451889f562 |
We compared the proposed method with both traditional and deep learning based methods, including K-means{{cite:f6ceb4ef860f9137501429d864a62d01f9509dba}}, PICA{{cite:a69b20ead3e1ebc7011691a4833befd68863f992}}, GCC{{cite:68350d74ef544088a878e66d0552012968d9f655}}, CC{{cite:8f796d61ec8db2975b1739d3f51d3a241a0a125b}}, IDF... | m | e8ee88003bbcb5adc95d4b070b63a05f |
By equipping a large number of antennas at the base station (BS), massive multiple-input multiple-output (MIMO) has been widely regarded as the key enabler for the creation of the fifth generation (5G) wireless networks {{cite:b096aeab0a717548bdbb79fad26c53443b13ea24}}. By exploiting excessive number of spatial degrees... | i | 439652ef08f26ad526c2734595465bcb |
Since the projected gradient update (REF ) has the following descent property {{cite:c9f1c07600d91c542065afcbe541c5446587aef9}}:
{{formula:c31d28f9-d465-47eb-a284-d2d999758fe8}}
| d | 61bedb0f9531e27e45595ae84990e4f2 |
We have executed a systematic study to explore the optical, electronic and excitonic properties using Density Functional Theory (DFT) {{cite:f3148a500b96397a0db581dfc9a4abf4218c0341}}, {{cite:3aa9c555e7e1b5505c4892804ef07dab416bf1ca}} and beyond approaches under the framework of Many Body Perturbation Theory {{cite:ab2... | m | 47e9ee8d1214936eacbcf99f290c7c67 |
Backdoor-based Watermarks {{cite:1b8910fe0d7c86c5094de495acd76449a23352f7}}, {{cite:b2b0a42738a214636a7c0eaebabad4760361820d}}, {{cite:3da8d9249ce3889995739b40f4f11281d07ed02f}}, {{cite:0a14f6135d7cefe51ab0f4eb5e412b0679bf4c95}}. Backdoor-based watermarks utilize backdoor attack {{cite:409e9f60e32fa496697ab21ecf9b441bf... | m | 6602e0b864f7ab31e936f38816468901 |
Here we discuss hetero-crystals beyond 1144-phases. The so-called 12442-phase (e.g., K(Cs)Ca{{formula:42982f75-46f2-4344-9747-56c60e986f9a}} Fe{{formula:f6fa9f24-1f9f-4fbd-8544-2e03ec0f3ae5}} As{{formula:988c68f2-2d8f-4640-9bdc-fa40a1d4eac3}} F{{formula:e960623a-e2f1-44f2-a542-bdbbd2d38e73}} , {{cite:c56d09961afa3169da... | d | 11e1d608f82ce0f4f8a515803e009928 |
For instance, two dimensional conformal quantum field theories are well
understood in terms of their operator content characterized by
infinite-dimensional algebras of local conformal transformations {{cite:37163a9770a923429179a462cd90ab5e8626ef81}}. A large class of such theories, minimal models {{cite:be658b331005f79... | i | 923781b88e86debb3df0241fd9d1c098 |
Linearity A network, which is a linear combination of other networks, should have explanations which are the same linear combination of the original networks explanations {{cite:7608ea6c27dc03482315dc4457fe03996ac20a71}}.
This axiom states that an explanation method should be a linear function of neural networks given ... | m | 380a5bfab730df50d18c9185db209f1b |
The core of our deformable registration model (Fig. REF ) is based on VoxelMorph {{cite:4ee5b5db7c07e13ef9bc03dc15b7fa0b6476b014}} with the following modifications: (1) increased feature channels for each layer and (2) deformation field downsampling by a factor of 2.
The input is a randomly selected pair of patches fro... | m | 32beb4027cb0077fa56aea5774e8fb81 |
The main idea of DLDL {{cite:3de66e6430e7fe1cefa55f4072fa70bbacc4dfdf}} is to reformulate a regression problem by discretizing the value range of the regression target and then learning the model parameters such that the probability mass function (pmf) over the predicted discrete class is close to a desired probability... | m | 90da28552be166d437a19d2ef49f4720 |
As we have mentioned, even in the classical field description, there are many freedoms to
define macroscopic distributions. For example, one could adopt the Israel-Stewart approach and
define a frame vector from the full current {{formula:03bacfe5-bf9b-4d1f-a494-6b9ed26dd46c}} , with {{formula:5ee80da7-646b-4eaa-b0a5-a... | d | 6b5f6439f0cf60dbe890879221971632 |
Past work {{cite:6abd219c76131ffccf10b5f22dd4bfa7573e9ffd}}, {{cite:96cb0e5814116a62e274691b6d4733560e040313}} has analyzed the MSE score for rejection sampling.
Papers introducing more sophisticated algorithms, however, have often used heuristics like the acceptance rate or effective sample size for evaluation {{cite:... | d | 7b6c9f561324edb662b29066dab48c80 |
We set {{formula:7fe07d52-ff2f-4e6f-a689-a2b5207151ad}} and run the ranking procedure
on several networks derived from our data set.
The choice {{formula:35ae1323-acd7-4a29-8475-b3a47201b334}} is mainly due to
tradition. This is the value originally used
in the PageRank algorithm {{cite:d3450bd242004db3f00c7cedf52c7c... | r | b1d79490da2ee4d6a3318be8ee51dbc4 |
Since VML-AHTE and VML-MOC datasets are recently published datasets we run two other supervised methods. First method is a holistic method that can extract text lines in one phase and is based on instance segmentation using MRCNN {{cite:69962f6d27b942bd5eb1390bf04870509776c81d}}. Second method is based on running the E... | r | 357698751bdb7849e7f9cc29f06d7491 |
In this work, several molecules are detected towards SMM1-a and analysed. Most notable are the detection of the C{{formula:08c484b4-231d-4600-8f78-4f533da8de55}} H{{formula:3d69c559-412e-4520-8d74-6f7c8bbe4dc7}} NO isomers CH{{formula:b097434b-4b18-4b38-8dfb-0c1eb69c0417}} NCO (methyl isocyanate) and HOCH{{formula:62ba... | d | c91ccf400869684569ecedb929cc7b53 |
The multi-particle cumulant method {{cite:ec0da2e1bdb2916c737584f08843cc35d81c24ce}} has the advantage of directly reducing non-flow correlations from jets and dijets. The mathematical framework for the standard cumulant is based on the Q-cumulants discussed in Refs. {{cite:c52bd2447e37529329d31a1d6424e88238804247}}, {... | m | 362d37095bcb4306f476db68af6d6bad |
Datasets. We evaluate the effectiveness of our proposed approach on two SSDA image classification benchmarks, i.e., DomainNet {{cite:3e4def6c666e43686b8d9d90d5e1f36496e5f02b}} and Office-Home.
DomainNet is initially a multi-source domain adaptation benchmark. Similar to MME {{cite:1cf5efdcf5d1d5c6f4b21837359bbea491a2b5... | r | 982fc266967d008c2580e4e06155d0b8 |
The conventional approach to MRI image recovery {{cite:07ea40883ef16f6ea3460c729038d0a90f029439}}, {{cite:59d78b71d3bb8fd0e7bc428acc11c3b2107f6bcf}} is to pose and solve an optimization problem of the form
{{formula:87028491-b894-432d-a00a-1a451dbef64c}}
| m | 622ff581efc1ba2377dc33289c9f6c8c |
There are a number of limitations in Dream Fields.
Generation requires iterative optimization, which can be expensive. 2K-20K iterations are sufficient for most objects, but more detail emerges when optimizing longer. Meta-learning {{cite:a23079ce913f19c926ab72cb5e0f15cda42fc379}} or amortization {{cite:806f9f3b507a767... | d | 65415618d87f41586d503d33d8f35141 |
As mentioned in the section FWI as a constrained optimization problem: full space versus reduced space methods, ES-FWI can be implemented with penalty method or augmented Lagrangian method. It is well acknowledged that one issue of penalty methods is related to the adaptive tuning of the penalty parameter such that a s... | m | 62b5c558107b95b9775aab9bce717347 |
Evolutionary or genetic algorithms are used for various applications mostly for inverse design problems {{cite:9eef4f2bd646499a33b54ff5e975e013e224e999}}, {{cite:2e165d8491129b88726e5966eaa78bfd67055bc9}} and have also been applied in the field of modern optics {{cite:fe9f5db534b3851c38752b87ec1479cb82d7cfbd}}, {{cite:... | i | 5b8820b34b76cf24750329847cc4a231 |
We perform further analysis of gsf in this section. The t-SNE plot of features obtained from the output of the layer preceding the final fc layer of BNInception backbone is plotted in Fig. REF . We visualize the 10 action groups defined in {{cite:b6933c6eb71fccbf91d56f3d95d68720b140bb47}} in the plot. From the figure, ... | d | 7e8e606667323cf160666abf2a3510d6 |
It is believed that a black hole is formed by
the collapse of matter and it radiates the thermal radiation whose
temperature is proportional to the surface gravity {{cite:a88bc61ef7017f555f643cc2e5fa2e7322131e1b}}, {{cite:e861b8260b0786f047adc7f22c211cd5e4948797}}, {{cite:17276d52fa9f45473bf104be8e30977b620906e2}}, {{c... | i | d0b3dedbe0cb48997df7dec1deda57d7 |
In the present contribution, we investigate configurations associated with axisymmetric potentials for general {{formula:f1f3b2df-aa26-4c15-b6da-df31cdefce0f}} spacetimes with star orbits present only in the visible {{formula:fc1f3c21-3507-4d81-95cc-4ec86ed0794e}} space, focusing our calculations in the stability of ... | i | 47c742d76e56e5f965fc2b739eaf58ba |
The notion of stable envelopes is introduced by Maulik–Okounkov in {{cite:620b27c7f90f3f3a61481e6f0535f4eace2389f0}} to study the quantum cohomology of Nakajima quiver varieties. Stable envelopes depend on a choice of a cocharacter of the torus {{formula:27f87096-db8b-4641-b9f1-bc45599a7888}} . The Lie algebra of the t... | r | 74c54415a429a07980df1e2a18947566 |
Recently, science problem solving benchmarks {{cite:182b2d8beb93358f467b8606af802036711a7c9e}} have been used to diagnose the multi-hop reasoning ability and interpretability of AI systems. To answer science questions, a model needs to not only understand multimodal contents but also extract external knowledge to arriv... | i | 20eb3e1c57e58635a401837b4b96482a |
To analytically analyze what is reflected by the ratio in Fig. REF , we start from the definition of high-{{formula:51f26f70-93c6-4c28-a3f3-c7d15c896a21}} particle suppression, assuming only collisional interactions within the QGP. To obtain the final particle spectrum ({{formula:493cf3c4-06a2-49ca-af9f-06b0cd7ade1c}}... | r | e4d8520b223793e94be998ee65c748ac |
We have considered various macroscopic models for systems of active Brownian particles, which describe a class of self-propelled particles whereby the swimming orientation {{formula:c9597afe-c3a1-4873-939a-69fff6dea521}} is governed by a Brownian motion. Despite being arguably the simplest model for active particles, ... | d | e26f502d34154301404de7af60e3cc75 |
Remark 5.1
Instead of using the augmentation with the square of {{formula:561b930c-a07a-4b07-ba58-4e55ecedc46a}} -norm {{formula:4b1ce3c4-23c1-46fe-a347-b3cb19a34606}} according to the definition of augmented problem in {{cite:bb5b899669de93c6aa45256b249895d8fcda8285}} we use the additional penalty term with {{formul... | m | 8b463f39901dc3d4611ddf25c3a84518 |
The problem in propagating this measured modification to the dielectron spectra is that the modifications from CNM and energy loss effects affect the dielectron spectra in different ways. While the energy loss affects each of the quarks, and thus the electrons, independently, the CNM effects affect the pair. To accommo... | r | 89c585cc2d56799f43a159b5f93b4f15 |
We setup NNs based on TensorFlow {{cite:39b106fce5d3f899a736d6bb0ba3799f21ee7e18}} using the hyperbolic tangent as the activation function. Problem specific parameters such as network size are mentioned in the relevant subsections. A set of common parameters and settings is listed here: We train using the L-BFGS optimi... | r | b65b4e063fafca2a706f4479aa49e20f |
We study Lattice QED in external electromagnetic fields using methods
developed for Lattice QCD. Since QED in background electric fields has a
complex action, because the vacuum is unstable against decays into electron-positron pairs – the Sauter-Schwinger effect, {{cite:37e0a8074d70a8df22e9940311da0a09a265856b}}, {{ci... | i | b24e1fde637ac07ef3d87d913403fab2 |
Weight Consolidation and Elastic Weight Consolidation regularize the fine-tuning process by encouraging fine-tuned weights to be close to pre-trained weights {{cite:ff39bb2c34d7b057adeb086957318be6836c2dc4}}, {{cite:e6b5ca7c55d467f2266afa4326730cd7f60ce7cc}}. Mixout is a variant of Dropout regularization that replaces ... | m | 9d0d7f4a2a0186f5a98a484955614a42 |
Recent work {{cite:9293dbdfcb641dd9144a9889d6c797dc208f6f9e}}, {{cite:2ab9525ca2b8234fbb9f59c90335abadb41a9da8}} proposed diverse data augmentations to improve robustness and uncertainty calibration against common corruptions. However, robustness to noise corruptions remains a challenge. Digital noise corruptions occur... | i | 05218002082799332d0e15170d15700a |
Recall that two orthonormal bases in {{formula:50d849b0-7080-4df6-abe4-ec9f3cdbdfde}} , {{formula:e29440e7-9efd-451b-b450-19c744f8b7d5}} and {{formula:45becc3c-6b19-431b-a18e-30feefaa1fd4}} are called unbiased if for every {{formula:5dbf01c1-ab77-409c-b713-c2f2fddf835a}} , {{formula:7b21a1d5-5643-4f7a-92d8-2ad8a8158c... | i | e0d98e0e7831841ac6c2621aa37f22d1 |
As an example how this result is used let us consider the spectrum in the graviton sectorAs in {{cite:befbc927b29b7d0c0738c7b3d439c467a6d26179}} we will use the notation of {{cite:ea981913792eb3d18c9a2d15570be5e79369457e}} which includes the parity of the field, as in, e.g., {{formula:51966e55-c8a3-4d2d-bcb7-68332226c6... | m | 650678b29e937ffa44f6edc3a5611d63 |
For all encoders ({{formula:f933e822-f0b8-4034-8588-fcdfbe997d51}} and {{formula:cafa777e-ddfa-4361-b8f6-6bdcac3be85c}} ), we stacked two GNN or linear layers with the ReLU {{cite:f0125b389384a7de7c896d419f05d9a1a6335006}} activation functionExcept the SGC model, which increases the power iteration times of the normal... | m | c087aa7ec7ae4b22fc6fd57cd68259e3 |
We choose the same {{formula:6728b1e2-d148-4c58-9679-c4ab925f7ff8}} as {{cite:c23069ab57eed7de459fcd7bea005459f24c26ee}}, which is {{formula:75c0d810-f4fe-44f4-98f7-968d858c9977}} -norm between activations of the last layer of VGG16.
Given unlabelled data of size {{formula:070e47a4-4865-4c95-82c6-6e2605e60f54}} , labe... | m | 2cfded936bc1c8d1576d64087f86815d |
Previous STR works are focused on regular text and irregular text {{cite:107947f15cc1d65e0eac4203c135212a637c4edb}}, {{cite:44920eb426595d82a99ca6263153bc7b8fa290dc}}, {{cite:a77a385f6944c851895d4bd5566e12f445cb89bd}}, {{cite:eafe768a93de633ddbd0eca8fcee720e447fa785}}, {{cite:f252bd2b3ab81ea9d88134401f4c184d221258ba}},... | i | 3fcb681f0ad8974fe467b0979a7380a7 |
A closely related topic concerns the physical connection between AGNs of different types. While the orientation-based unified model {{cite:ea83d435326945eecd330a7b7bcdef79026ff5dc}}, {{cite:c67e6406a9a4bdcbbe2448450e8a5ff052c1a264}} has enjoyed much success in explaining the relationship between broad-line (type 1) and... | i | c94996d9214a5512af6f38f838010c94 |
In this section, we present the main results of this paper, where we derive the convergence rates of GDAD under different conditions on the objective function {{formula:d29af338-0b21-4419-8078-f3e78ea9d43b}} . Our results are summarized in Table REF . First, our approach improves the analysis in {{cite:a9c16de166972f5b... | r | 2b07166c4a0cf5fee69dff16d0cc4ae8 |
SPGAN {{cite:9cb2a447c16fc6cda3a463012fb7347e1d4b0839}} considers the style change among different datasets and trains a style conversion model to bridge the style discrepancy between the source domain data and the target domain.
However, due to the huge gap between the vehicle datasets in the real scene, e.g., the div... | m | f5823cbcbc9b93898cec7717064a82d2 |
We propose a Bayesian non-central {{formula:082b112f-de37-45b0-a70b-1f39d9437795}} regression model for neuroimaging
with the Rician model as a prominent special case. The model is applied
to real diffusion data from the Human Connectome Project {{cite:1136da5de19fec4c34148b1f128428d68fc2d6e0}}
and to simulated fMRI d... | d | 970091e6157d1a0598390aecfe19e7dc |
In this work, we argue that language descriptions and program abstractions can act as repositories for human inductive biases that may be distilled into artificial neural networks. To test this idea, we considered a tile-revealing task with 2D grids that were directly sampled from human priors.
We found that grounding ... | d | 571c3600a0125e0a527691febe110e57 |
In the case of bounded uncertainty, the recursive feasiblility and stability have been established in several SMPC methods. For instance, in {{cite:0e779eff177dc07a94a3638d05fc9baecfef2480}} the authors propose an SMPC scheme of time-varying constraint tightening along the prediction horizon based on the tubes of fix-s... | i | acbd65a8fbe742b45a55c76e60ae0dd4 |
In this section, we provide some initial theoretical results for COLA's uniqueness and convergence behavior, using the Tandem game {{cite:0b76287f86127e795221e9a2fed6e259a156fd83}} and the Hamiltonian game {{cite:7cb7eabcdec91c800d0c2aaa1207b95db6088da1}} as examples. These are simple polynomial games, with losses give... | r | 3dd4da984aa8bf1d32eedf2374a17d54 |
3D Model (Fig. REF , {{formula:2c8ae8b1-6783-4df5-9c43-bd595486046c}}{{formula:377483f2-625e-496f-a227-664d35c2fc0f}} ).
Mix3D is independent of the underlying 3D deep learning model.
In experiments, we use MinkowskiNet {{cite:faa152dffdc38458ed5f75f044c5bf1751a1b66a}} and KPConv {{cite:8d5de90b7dc5c62a4e47ae62f9718cac... | m | 14e2e3708395aa28a75ec20668a229d4 |
We found five sets of observations containing the position of MAXI J1409{{formula:d75b3365-f3ec-439a-8850-fa697a59a291}} 619 in our
BeppoSAX/PDS archive, performed in 1997, 2000, and 2001, and one in the ASCA archive (March 1998). In all our observations the source was in a low
state, with 15–100 keV fluxes in the rang... | d | e1fe34f53719c50a313c2aa205c99777 |
Now, since in Palatini {{formula:1f4eb52e-9487-4397-83aa-4aa07f72365b}} models torsion naturally emerges, in {{cite:38f68fd7fb4ef6f1be256ae92f9df1a240c7275b}} we proposed the idea that for formulating {{formula:801c77c8-1052-4bca-8360-184d3bbf46d1}} gravity in the connection language we have to include torsional cont... | i | 472e3a00e2dc329b3990d1079ebb8bd0 |
Toy model: We consider various configurations of point defects (vacancies and interstitials) in a two dimensional triangular lattice. As the reference model we will use an embedded atom model (EAM) {{cite:e8daceb4c8f90c49b408c331502045b125c63b5b}} instead of an electronic structure model. This highly simplified scena... | r | 8cfd347cb27ea14176b31b9c17926679 |
TFN: Tensor Fusion Network (TFN) {{cite:eae7c33e670b8d9dda1aab8cc16a6de9f340df51}} combines individual modal's embeddings via calculating three different outer-product sub-tensors: unimodal, bimodal, and trimodal. All tensors will then be flattened and used as a multi-modal embedding vector.
LMF: Low-Rank Multimodal ... | m | 830cd9120c19443b64f64dcb3cf0795d |
The Standard Model (SM) of particle physics is now well established after the discovery of scalar Higgs boson {{cite:9e7906b95ab53ed78d9d18a5aa2128a09b8b23f1}}, {{cite:b8004d173fdfde7b6fdb07b3ecdcc1dd8e623357}} at the Large Hadron Collider (LHC). The properties of the Higgs boson is being tested at a very high accuracy... | i | f51104643e87e270074ab239bab43fcb |
In the past few years, convolutional neural networks (CNNs) {{cite:dfc0cd7896968023411fd3ed7e39bdd911dfce04}}, {{cite:5e02733de677a5fa25aee4b2ef84b1451bb64cec}}, {{cite:2147f215e818f928ecfcdf7d23cede10b7238adc}}, {{cite:bf2ef45216b0a1ba6eb4a3859c13cb6571afda25}} have achieved remarkable success in general image classif... | i | 1667832e652f5883608f60a9190fab6a |
We also list results for the {{formula:351e8d80-a5b1-495f-9240-d1ce5e3181e7}} and {{formula:49fdb78f-6761-43aa-8d7a-d73f19e94190}} states, since these classical Lamb shift levels were involved in the
muonic hydrogen laser spectroscopic experiments determining the radius of the proton {{cite:755a3277aaa8d79d0339aa7146... | r | 335bc6a97cae52876a373b60799c02e7 |
The most important difference between entropic herding and other methods is that it does not require specific data points and only uses the aggregated moment information of the features. The use of aggregated information has recently attracted increasing attention {{cite:6afca4f64bf72c53392e9b00f79407502097881c}}, {{ci... | d | c284d35431d621f7951ff014b0c3a268 |
There have been a great number of policy gradient methods since the development of A3C. For instance, UNsupervised REinforcement and Auxiliary Learning (UNREAL) {{cite:743f6e50dbbca8f4f0adb7ee75d3c942e228d1c6}} uses multiple unsupervised pseudo-reward signals at the same time to improve the learning efficiency in compl... | m | e3a8413a024c903aa47dd944f27f65d3 |
The Madelung equations {{cite:4d1f9b90c6aa5fa258b1183be03feff16635e22d}}, {{cite:b09c4a21f8068f60e473286bbee5fb36de312af6}} are two equations that are equivalent to
the one-body time-dependent Schrödinger equation, where the working equations are the same as
the ones for Bohmian mechanics for one-body systems, and the ... | i | dd51a84accd21ceaec0e3085caa55834 |
Along such lines, it has been observed that well-understood analytic properties of scattering amplitudes have a novel realization in celestial correlation functions, yielding surprising features from the viewpoint of standard CFTs {{cite:bccbe3e61a50213d2dd89d80325601d00bc09c8f}}, {{cite:2043e30985542e4ed4c1d8b0f9d79e9... | i | d11d07f562a0397c5d2188d50df65467 |
In this study, we have used distributions of injection electrons with a broken power-law form, which has been commonly adopted in studies of blazars observed by Fermi LAT (e.g., {{cite:000459e3488f26b16b5b6841cd567bedf625086d}}). The break energy {{formula:b9528345-e7f0-45b9-a8b7-97df907c159d}} used in this work corre... | d | 236b99326fe185d9781f53066b3e4d0a |
This work is the first attempt to design neural memory networks for traffic forecasting.
Although effective as shown in the evaluation results, there are limitations we spot in the approach.
First, we extract traffic patterns to memorize in advance, but it is possible that the extracted patterns are redundant even afte... | d | 66bd69905ce8764bf1c1a1c711bec34e |
LoRRA {{cite:07f7c36473320a17e1f929fd8f0901a472570ce8}} was proposed as the baseline for the 2019 TextVQA challenge and is composed of three major components - one to combine image and question features, another to combine OCR and question features and the third one to generate the answer. M4C improves the fusion of th... | m | 65acd92237de9db634948bdbdaa7990e |
Nevertheless, all of the aforementioned approaches share the same limitation: they require representative pairs of decimated and fully sampled data, which is usually not available in most seismic processing projects. Whilst relying on synthetic data or field data with similar characteristics (e.g., from nearby survey) ... | i | f8bc6de1d9ec35fc2389ef5339e97a72 |
To demonstrate the effectiveness of the proposed CMVAE, we draw comparisons with several state-of-the-art cross-modal matching baselines. For background music recommendation in this article, each video has exactly one background music as the ground truth, so the co-occurrence information necessary for collaborative fil... | m | fecb5961e442454e5b834f0602cb27c1 |
In addition, studying planetary populations for orbital periods of less than 2 days is essential for understanding planetary systems and their evolution. Indeed, such orbital periods seem to highlight the presence of strong planetary magnetic fields (cf. §5.3). They may also highlight the presence of some star–planet i... | d | f55931ce3da7737eeb267cda0ac91f24 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.