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As DDIBs are intrinsically an OT method, we compare the pixel-wise MSEs between color-transferred images generated by DDIBs, and images produced by alternative OT methods. table:colortransfer reports the comparison. We compare DDIBs against four popular OT methods: Earth Mover's Distance; Sinkhorn distance {{cite:73826... | m | 2f85e59905438826bdb881294b6ec994 |
It is also possible to apply the above inequality with {{formula:c8a37460-a20e-46f7-bd20-cb435fad5eaf}} , {{formula:877a85c2-d981-4da6-ac74-8949a528c29d}}
and {{formula:ad9a1284-ca17-4c25-939a-98b18f9bf441}} . I.e. normalize the weights using the {{formula:98beba4b-1201-4ec8-a931-20634cf0ea8c}} norm, giving
a bound o... | d | 25d2d8c11d86cc844e08be786bdbd582 |
IFU data have been wildly used to analyse the radial gradients of the stellar population parameters in the spatially resolved manners {{cite:bf6fc32310291cd021c6852eb435861f0ffef7e8}}, {{cite:4a60d4d385d63e10c1f662c4c9c9c66b0bab59b1}}, {{cite:2702c80f759ef430f67fde5860b5a324cae5cbc1}}. In this work, we collect SFGs tha... | d | 4fe881ef8b01b40d3bb837bde702b1b4 |
[Differential Privacy {{cite:9320a9cedde1722ba891ea9a72694576fd2682c2}}, {{cite:83ae31df575c5d2da04ca5a9121c88dcc5319309}}]
For {{formula:06e476b4-0973-4c33-8c02-70cfdad3def5}} and {{formula:2a7451d2-e336-4858-a497-e00afbaabc4a}} , a (randomized) algorithm {{formula:cbece80c-f5c3-456b-bdac-9f3a9d31e21a}} is
{{formula... | r | 747f12b8adecdd4b20506108f62ab016 |
The study of generalized global symmetries {{cite:915f2461be2ede1ec721398624fff8efa870df32}}, {{cite:acc630e413600c891250ae8c50416a63dcd143d9}}, {{cite:876a84ca89f56d17e5212c0f2f755672e10bf0c4}}, {{cite:c69b8d711b0b1e3fd602da4c8560c66ce15cc574}}, {{cite:308221a160e5e3e4f4c8203151a2672f4619d13a}}, {{cite:aaee8056b790da6... | i | c97f6074227c59fda310ae1c2a349a22 |
We used our simulation engine to assess the validity and accuracy of the estimated model parameters and tree.
Because our method infers branch lengths, we evaluate the accuracy using two metrics that include branch length information: BHV distance {{cite:d13e46f0b3a53e9aaac98a47bddf75f125331abb}} and internal node heig... | r | 461085d5d47a09bf0c97a412adff189d |
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 |
Our calculations were performed within density functional theory (DFT) implemented in the Quantum Espresso package {{cite:d7af750383b8c02b124c0e43b8f58a2f007e8d94}}, {{cite:923a7cb8b38b1a82dbbb834ae76988acb5f8c9a0}} using fully relativistic (consider SOC) and scalar relativistic (ignore SOC) projector augmented wave (P... | m | 5cb8599a9e4219cde9971c76a15145df |
The present extension
requires to reconsider the localizability problem for massless systems,
that is to say the problem of ascertaining whether a unique position operator exists or not within each
possible theory for massless systems.
The investigations about this problem
trace back to the paper of Newton and Wigner {... | i | d924eb2ebdff3a83bcf5205df70563d1 |
Attribute discovery in latent space:
We use StyleGAN2 {{cite:163c16cc188b872e613fd176c4228d436d7f182c}} and train it on WCE images (discussed in Dataset and Training details sec). StyleGAN2 uses a mapping network between a latent variable and the network generator, {{formula:e474b030-d7d4-4158-be28-1d3aad67fff6}} , whi... | m | 24aabf7c1e99890ade94285798c18422 |
In addition to the MNIST dataset, Figs. REF b and c display the confusion matrices of the image classification in the F-MNIST and K-MNIST datasets. The prediction accuracies of F-MNIST and K-MNIST obtained from physics-aware training are {{formula:4a62cf0c-a5e6-4952-9ba2-d1273936ad0f}} % and {{formula:36f0594a-a233-44... | r | 8e80a5dab33a439601526aa32af9b61c |
The purpose of the study was to present the applicability of the approach to absolute imaging problem of DOT with one relevant architecture.
Therefore, we have not presented an in-depth assessment of different deep learning architectures in this work. The proposed DGN approach could be further improved by carrying out ... | d | 002b2d76eb4e6476fea2381b34d16dde |
Fig. REF shows a selection of qualitative registration results computed on ETH, KITTI and 3DMatch datasets using the GeDi descriptors trained on 3DMatch.
The registration is performed using RANSAC {{cite:ae2d3ebbdb2ddcbc30e98038c12e6b1b535b6c5f}}, {{cite:94542f6d76a61e2d8cd725e75c0f39d2c490b7be}}.
These results show t... | r | 91b36132f8039401fe433029c4e6ab3d |
In figure REF , we tested {{formula:782654bc-13ea-49bf-8b09-fe2ee43ae57f}} samples from CIFAR-10 dataset{{cite:f7e46942b9926e9950f8870e41664bd9b64f8e4b}} with kernel regression based on neural tangents library {{cite:78741593f9787da84aea184492d98c4d10b82ec9}} {{cite:de4b2e4589478b553b7c26aa72a4bee3e7150be3}} {{cite:c8... | r | 1a3514bb90e7146f07502366fc8bf5b0 |
Recently, approaches based on text retrieval have shown their effectiveness over question answering {{cite:e9e383cbe0f8f873d4f5420447eb0f8fd55bd84c}}, {{cite:4d527b46a8347657b46a8089ef37d82e7d0ffcb3}}, {{cite:9ef569001b5c04b3153881958a078931f91e7bc0}}, machine translation {{cite:0b43fa94f5e74c1597cdcd120fc313e4684e1481... | i | 78804c1950fbcc3e504deb7cb6d5961e |
Our method (Figure REF ) is designed based on the above insights.
Our method is not an MIL framework but it is a model that takes all segments in a video as input and determines whether the video is normal or abnormal.
Since we do not use MIL, the extraction of salient features can be achieved with a simple self-attent... | m | 1aebb3ac2cd6e665d91c1a9d425567bd |
In order to extend our study to rigid packings, we also utilize molecular dynamics (MD) simulations, using the well-established LAMMPS MD software {{cite:9eb0c3afdd6ce505a70611ef1418a02c03b0fd1a}}. In the simulations, a given number of particles are placed randomly and at low density within a 2d space and slowly expand... | m | e351e3fee1a66a03d9501e3dd21cfb64 |
This distinction establishes a relation to another large class of phenomena: Front propagation into unstable
states {{cite:0e1bbc1c9f696b6da6c4146124bb62831ed70e2b}}. But it is also of fundamental importance in our model, since we can interpret the
model – in the case of pulled fronts, and only then – as a realization ... | d | a46bb680f7142bc3730db574528d6eb2 |
Our theoretical analysis is also novel. {{cite:47c50e808fe4c5f02bbe9cd4c54157edcfb28ce1}}, {{cite:3d7a9fdd7f33d3df40eb7befaa8aac1bb3890b77}}, {{cite:d23a2415bebc6ff114ce8081c69fb767f86b4576}} have no theoretical analysis of expressive power. {{cite:b3f5fafe9b2990a59162a1081f3ae4625a14acc8}}'s analysis is primarily base... | m | c472d49cf18c3b7ce2e3cb7320e520af |
Here, we propose sEHR-CE (language modelling of Structured EHR data for patient Cohort Expansion), a novel framework based on transformers to enable the integrated analysis of multiple clinical resources without relying on any manual curation and mapping. Using text descriptions of concepts as input, our method general... | i | 154c10d6a0c9998376c81b4200096d72 |
The comparison of several platforms is also the research target of {{cite:9ffbf83d21989d117e46c01753d959b614b4b5f5}}: Gab, Facebook, Instagram, Reddit and Youtube were analysed and, by fitting the information spreading via an epidemic model, an {{formula:f5f5e4e1-dd0b-4671-bbec-1318b3f7a2f4}} parameter was assigned to... | i | 8f91a376474613fbcae53f68c1679cd2 |
Our proposed deformable capsules (DeformCaps) with SplitCaps object-class representations and Squeeze-and-Excitation inspired SE-Routing algorithm represents an important step for capsule networks to scale-up to large-scale computer vision problems, such as object detection or large-scale classification. Our proposed o... | d | 4bf896835b35afb0509a8aff8eab66ba |
In addition to the strong Feller property, we can also probe the KPZ equation's ergodicity through the lens of the KPZ universality class. Often viewed as the fundamental positive temperature model of the latter, the KPZ equation shares the same {{formula:de9530f0-f06d-4653-bbac-a3062e76dc7e}} scaling exponents and un... | r | cd872df7b56bb6668c246a45058add42 |
It would also be good to re-derive our results in other methods, e.g. using the Fujikawa procedure of path integrals. These methods would all need to be re-examined however as we have an underlying degenerate metric structure and a non-Riemmannian manifold where these field theories live. We are also interested in a ho... | d | c85881c73eab64d26f1d3673c0d03005 |
Hand Pose Estimation.
We report our results for hand pose estimation in Tab. REF .
The results after IK are based on the shape parameters estimated by HandIKNet.
On the MTC-Hand test set, our mean error is only 9.3mm.
We attribute the 1.1mm increase of error after IK to the difference in keypoint definitions between ou... | r | 827ceeae7ab52675c95a580005915c99 |
In this paper, we have argued that string theory generically prevents the dark energy era from extending beyond a few hundred Hubble times. This alleviates the coincidence problem to some degree, inasmuch as we now have as much as a percentage chance of finding ourselves in the first e-fold of acceleration. Our conclus... | d | ea7f257c9b928cd04d9d4b43a0c1fe51 |
Johnstone and Lu formalized the sparsity assumption by requiring that {{formula:74796d22-eebc-4a40-a380-8112c7aa3b8e}} belongs to a weak {{formula:dee290ff-5868-4671-be78-604da324b956}} -ball
with {{formula:a7877c0e-b922-4a8b-b3d2-fd4a981bbd6c}} . Instead, here we consider a
strict sparsity constraint where {{formula:... | i | d49c1a70aa3542fa9dffe1868ae3b9e0 |
Finally, Figure REF shows the behavior of a Ramanujan topology having {{formula:81878dcd-af00-4503-a8c0-c1516a6ad1cb}} . In detail, this is a regular graph consisting of {{formula:11bb49c8-48da-4583-b644-4d80c273441f}} nodes with common degree {{formula:c8581b03-680f-4ecd-a185-239c4c8736de}} , and satisfying {{formul... | r | 68ad1ce32a70629420d2c10a38f6639d |
Theorem 2.1 (Harary's path criterion {{cite:d44611113064682cc0be07e04e647cc31eda45fb}} )
Let {{formula:b58cd622-2ba3-4a02-ae72-58292eb911a5}} be a signed graph on an underlying graph {{formula:f4e862a4-f6c9-483c-847a-2a4567dab9ef}} . Then {{formula:98ab10ed-0c85-4c06-8972-1f9a2f7929e8}} is balanced if and only if an... | r | 80d1d537a3889716229bbd8a237be356 |
Representing the information from the recent past as transient activity distributed over a network has been actively researched in biophysical as well as purely computational domains {{cite:f0fc17ce33f00e90f5197421c9bc9357f001db86}}, {{cite:f410ec048cef747dd5ecd552e4ca3d2af0900545}}. It is understood that recurrent con... | i | 0e862f65fc3cda01ebfbd12a7103da0c |
Our face detection is compared against the face detector of dlib toolbox
{{cite:401d01be49b5665c70f0754f1c40f333277ef007}}, which is an implementation of the generic object detector
{{cite:572ce6ac95ad48051d328a577f84bb3cae0a6fca}} on face images. On CelebA dataset, there
are only 5 landmarks of faces, but no labeled g... | r | 6b30c5d5e5c8cac4ee269e2260624b66 |
The continuous range of binary eccentricities explored here provide a unique data set for probing binary accretion rates as a function of eccentricity, as was done for the binary mass ratio {{cite:a7a5162dd7be78fe3ce0a7739ff96cf35da2eefa}}, {{cite:7eb5c571593c9ced4b771c20da2ad60369cff377}}, and also for measuring disk-... | d | c384336dfa557e0f8e373bbace21a8cc |
Next we turn to comparing GN+PN's performance to BN's performance across a broad range of models trained on ImageNet. As visible in Figure and Tables and , GN+PN outperforms BN in ResNet-50 and ResNet-101 {{cite:d1002d624a6f341fff57f5c69ecaf76c011069d6}}, matches BN in ResNeXt-50 and ResNeXt-101 {{cite:2d9290420c3419... | r | 990a86929e03a1a530ed5b3eee3ebfa6 |
The {{formula:9f1de9d4-1bc1-4c7e-8b0d-b68ceedf820a}} was observed in the {{formula:0c27fe28-2f9e-4221-bc53-c294b6092e84}} process by Belle {{cite:0aad33e0b2a0e282bcb706182762f90a48fc4144}} and Babar {{cite:0e88836a83a5f797f993265131d1331bc049e3c1}} Collaborations, and has been a good candidate for {{formula:503ef9b2-... | r | e95a1e84acbc7cb27a71e70b4e6e9353 |
To our knowledge, this kind of coefficient was obtained first by {{cite:889412720a93a3d5a351d476931b1140780844b5}} as
an energy flux resulting from neutrinos emitted by a rotating black hole; indeed, our result
of {{formula:1e2e028b-8337-4b89-82b2-f9b4abc071f4}} for a free Dirac field (REF ) perfectly agrees
with the ... | d | fb855d9ffdf9342ab1ca5f0b761cf5a7 |
The resolution of far-field optical imaging systems based on direct intensity measurements is limited by the Point Spread Function (PSF), a diffraction phenomenon dictated by light wavelength and aperture width of the optics involved {{cite:14d5861c1d2541197ab7f7efcf9828f222ba0c73}}. The accuracy of this measurement di... | i | 3f2a29a4bd1743454f14199ff25d76cd |
For tasks like navigation and manipulation, current reinforcement learning algorithms mostly use goal-based rewards {{cite:74ee311c904826cfc5ee1801677e19f5b5c3ae4e}},{{cite:353a48046106210506d1998a3aef829da150aa2f}}, maximising the cumulative rewards over a given time. This strategy does not take into account the machi... | m | fa8e7938dd3c13f394e947a07f76b696 |
3D Instance segmentation of cell nuclei is an essential topic attracting both biomedical and computer vision researchers {{cite:a38a023110990b856ecc87bb4a5e3d8971b6d60c}}, {{cite:8d35344b084a3c98376fdf14193cea5bb32de1b7}}, {{cite:607bb03f6b8be288608a49dd27662a4bcb146de9}}, {{cite:5e8e62838a8ac8e13ff55d031fa9e4808df1c46... | i | 510cd4559e4e36d6fd2d35dabb5665a9 |
In Fig. REF we show the fourth-, sixth-, and eighth-order net-baryon number fluctuations divided by the quadratic one as functions of the temperature at zero baryon chemical potential. Our calculated results in the QCD-assisted LEFT within the fRG approach are compared with the lattice results by the HotQCD collaborat... | r | 0f51813b4e66658a4298032bd35864e7 |
In the example-based portrait stylization use case a set of portraits {{formula:dbb8d854-efae-41cd-af07-d91c74ed2150}} is
assumed to be taken under similar lighting conditions. One portrait from {{formula:51b3766e-aa25-4440-a80b-a3d48dfe2c5c}}
is used as {{formula:a8f15f3e-7e78-4732-8ca4-c18738a748d4}} and stylized ... | r | ab049bd07a6718e8d5ab31aa77c98fbf |
Our theory resulted in substantially improved precision of coarse SNMMs. In the simulation study, the
optimal doubly robust estimator resulted in useful inference, and performed best. In the HIV application,
our methods also substantially improved precision. In the HIV application, the best
performance was by a doubly ... | d | 105a181d56e716f89d856dc7a3d1c3ce |
In addition to the experiments presented here, we were unsuccessful at achieving significant performance improvements from a variety of other ideas: distributional RL {{cite:64fcfd15c4d67918df2e74b0721153f36941df06}}, quantile distributional RL {{cite:644d0700e152604fb481f11572cdafea18ad5fdf}}, weight sharing between r... | d | 8453f39375552af9f52eca45911db826 |
The probabilistic selection of {{formula:0fc14960-b4f5-4fc4-9f2a-4d50b203b8da}} is based on its {{formula:2c39a947-86c4-4849-ba66-6f63352b3c1c}} relative to all existing vertices.
If {{formula:c478286a-f844-4ea8-90f5-8d5ec91952d9}} is the in-degree of {{formula:9a52f3c9-d0bf-4584-a20b-6741586e1257}} then leaves wou... | i | 777a35fa8756282fbf5eefd03656b761 |
The model (trained with an unsupervised learning strategy) that achieved the best Dice value of {{formula:3bcf9282-f1d1-4b4b-b121-370792099ea7}} (Table REF ) on the MS-MWSeg benchmark is not trained end-to-end. The authors generate stylised LGE-MRI images using MUNIT {{cite:5c7ac53561339ad28d3f6903991abe8e9fcfd992}}, ... | d | e4ccc8eb56d23c1c4b2d7e5b41a3a7f1 |
The properties of the progenitor of iPTF14hls are more consistent with a
pulsational pair-instability supernovaBecause of mass loss, the metallicity of the progenitor of iPTF14hls should
be {{formula:1718b937-9ce2-42e4-bd35-4f72ea39a14b}}
{{cite:5ec5444612585e3cdb390f0ce2f4dc8c036cba68}}, {{cite:657dd98c46e2073992a781... | d | ea75b38961d6d4501264df1ce3895c39 |
Our mean first passage time calculation stands in contrast to existing studies on the telegraph process that compute the exit time out of an entire one-dimensional interval {{cite:09a46892825ce55fefde7e9b905c8dcd7ace362d}}, {{cite:e025f3ddbd7bab695eacad430a3162d79e216c54}}, {{cite:b87b880dae74c593ededed0224bab779d2abb9... | d | 99618ff3df0fcff8984c28cc9249947c |
We have found that the optimal QAOA parameters for the SK model in the infinite size limit appear to have a pattern, similar to what was found in {{cite:62eff254f669aaf7898c958b5c062c0b08f56158}}, {{cite:c188e6a6c4290d239383295d123779e6d5aab16c}}. As an example, we plot the optimal parameters for {{formula:ce425c5f-261... | r | f39ce49c05bf2cc13b289466266d34a3 |
As Castellano et al state: "In most situations, qualitative (and even some quantitative) properties of large-scale phenomena do not depend on the microscopic details of the process. Only higher level features, such as symmetries, dimensionality, or conservation laws, are relevant for the global behavior. With this conc... | d | d46e23814a0caf246be526c03964eb98 |
Datasets and CIL Tasks. Four popular benchmark image classification datasets are used, from which six CIL problems are created following recent papers {{cite:618037809c5e629545082905a7af0d50a10367d7}}, {{cite:8d0acd8953e6d3222784fe147f2cc58b6170c204}}, {{cite:a63ec52b56adbad4f286e60a8824ad018fea15fa}}. (1) MNIST consis... | m | b3445e3fb534a7f1c95a60f00921bd45 |
Cs-SGG. In this conventional setting, we could observe that our SVRP on both VG and GQA consistently surpasses all the compared baselines, even the recent, SOTA models GCA {{cite:e8b6e1596328b39223a53658a0aa09fecce5ffa9}} and EBM {{cite:90be4138c0b888599dab6a7f29a37b3e79eda9a7}}. For instance, SVPR on VG gains averagel... | r | 6ed5855b60e440cceecd650587efccae |
where {{formula:c09f6129-497e-479d-808f-36997b818a64}} and {{formula:65681e63-db1b-4fec-b8f3-6c527b3a0bf0}} are the Kummer's functions for exhaustive details see the NIST Handbook {{cite:36f164ce00199fd15a4ae5aa6d6ee8fe4d317da7}}.
{{figure:461651b5-432a-4a0b-97c3-245bf7e3e5fd}} | r | 2fe9d711d6e2f74ea67d0a23c35d031d |
Patch embedding. For an input image with size {{formula:cf2d453b-af36-434f-aaee-fa8cadee9132}} , we follow Swin {{cite:aa14aca0a6337236579eeb2de8c8b52a8614959a}} and CSWin Transformer {{cite:92e01a5ac736ec9c87dde010bc6213a5ce3a9618}}, and leverage convolutional token embedding ({{formula:7e389ebb-14e4-4a21-8688-d05c725... | m | 29b170039a4c969059ad16966f5695fc |
The age of B379 ({{formula:f98a8314-bd6a-440d-aadd-14aec863f473}} Gyr) obtained in this paper is consistent with the determination
({{formula:357187b9-ce09-4d07-8aa8-afc52dc2114b}} Gyr) of {{cite:6dfbf2f7ee343b393b6910cfa99efd2556b64d5b}}. {{cite:6dfbf2f7ee343b393b6910cfa99efd2556b64d5b}} determined the age of B379 b... | r | aafe0a5c442e7e80fe353d159f63613a |
We find that, for both corpora, the representational geometry of the set of BERT embeddings of the pronouns is significantly more similar to the hypothesis model that represents antecedent nouns than the hypothesis model that represents non-antecedent nouns (see Table REF , as well as Figure REF ). This experiment cont... | r | 9d93441397942bc02edfb307cf68313a |
The confluence of these traits means that, despite the extraordinary power of Machine and Deep Learning to crack complex, real-world, hyperdimensional problems that are intractable with any other methodology {{cite:0e4c421287bf54c7df4873bb0fbb433b7a35d123}}, actually using these models in a production environment becom... | i | eb6f138f8b55532cab38aeeda11848e3 |
Eighth, remediation need not be confined to model retraining, but may encompass any action that improves the quality of the decision-making the target model is used to guide, including simply narrowing the applicable scope of a model. Theoretically the most potent action, though perhaps the least discussed in the liter... | d | 70d132c23abb77bb05c58aa35579c213 |
Spectral method is a widely used initialization method in matrix and tensor computation problems {{cite:23817317a543963f87fa1cd2f9418f1e5df4712d}}, which typically involves the estimation of certain principal subspace from the data matrix or equivalently the Gram matrix corresponding to the data matrix. In some statist... | m | ae9dfc8c93d18b3107466aa05485acea |
Figure REF illustrates the payload ratio (PR) between the proposed feedback overhead model and state-of-the-art, given by {{formula:45e7cd78-deb7-4563-8a87-2dc04bd75f60}} . In this figure, we can observe the role of the {{formula:22c889f2-7828-4c73-b337-bde4ec669775}} in the factorization model. It allows to decrease... | r | 23a42d90bdda365db9d191a3ea89f334 |
The smallness and hierarchies of neutrino masses might be explained in
models featuring radiative mass generation. Three simple
examples are provided by the scotogenic model {{cite:ba4d44d736b192aa9cb6f2f539fcaa37344e61d7}}, the
scoto-seesaw model {{cite:45915be2b1826e7d3c8133fbe68295f865652da3}} and
the gnm {{cite:752... | i | 5ee61d6131e1cddcdc3205dd42fb4645 |
Estimating the diagonal elements of a matrix is important in many areas of science and engineering:
In electronic structure calculations, one computes the diagonal
elements of a projector onto the smallest eigenvectors of a Hamiltonian matrix {{cite:e08893fb472b25f5e4f810003912dfb1ab777847}}.
In statistics, leverage sc... | i | c88ebf18a3c83d1e73d6a3cd4981e72d |
We also investigate our method on the naturally long-tailed dataset of iNaturalist 2018. Following the common practice, we utilize ResNet-50 {{cite:5561d5e355c43f2957f13411b479934518294587}} as backbone for fair comparison and follow the same training strategy in {{cite:8812a46aa4ef7194213184f82b2bdfd1ee5390c0}} except... | r | 797eb9c0e3ea6d91f20e108581f56334 |
We now turn to the proof in details. We apply the Golfing Scheme method introduced by Gross
{{cite:82cb2760e6bd7635d06d378e9afff860f4e63fc2}} and modified by Candès et al.
{{cite:6febc79316a9e9e61a192e701abfe30e3e7a4a36}} to construct a dual tensor {{formula:b879300a-f709-4318-892f-18759d189dc4}}
supported by {{formul... | r | 9ad2949b2253916045ed025c6a59afdc |
For {{formula:1f385b78-57b6-4511-af56-9d332a4c99a9}} and {{formula:7c67b3f3-a338-4f97-918b-ae6da4aea324}}
consider the family of operators {{formula:f548aaed-801c-4465-ac8f-52d8cb4ab8a1}} and define
the string-averaging operator {{formula:26c7bcfe-18b0-441d-a798-d21ae82bb94f}} .
We show first that the operator {{for... | m | 0d9c894df433962e8d46805e36b58b9c |
Up to now, many methods for solving TSP have been published, and one of the important branches is Evolutionary algorithms (EAs), such as Genetic Algorithm (GA){{cite:71060c4751181ebabc71a59f607fb9c706b4f67d}}, Memetic Algorithm (MA){{cite:7fdeb4d4964734e80c229ca0de03de91fe396c78}}, Firefly Algorithm (FA){{cite:f9e9cd08... | i | 4508c01b1ea679966b813163010a3112 |
Using the ADMM-type splitting method {{cite:806b8eb1856227bc0578a4877a9330ef57ee70e4}}, {{cite:9fd9d13f8706e2b82a74e7c23e1d0d72b5c2d621}}, we introduce an auxiliary variable sequence {{formula:f0f05fed-db40-410a-9500-fd704129a874}} and an indicator function {{formula:adcca260-13c0-488d-9eb3-92a7a08d0c89}} . The constr... | m | b107e053a5e67a03e56c2c7daf62a41f |
It is often useful to clarify a problem by reducing it to the simplest possible model while still retaining essential features, and the black hole information problem is no exception. A useful class of models for black holes was introduced by Mathur {{cite:315d1b3ef145a52ec02df032b2e918817fb54265}} and further explored... | i | 34e3d6be9b7b62108f924548903f403d |
Prior to our work, only a trivial bound on the number of spanning
trees required to build a spectral sparsifier was known, namely that standard matrix concentration arguments like those in
{{cite:3731b51e07ac4b6a991aceb329c3f961ddbe29fa}} prove that {{formula:fac57c9f-90ea-4560-857e-d2e5af9318ea}} spanning trees suffi... | r | 14626b7f049c614b1cb04e9081f6fe90 |
Comparing with Uncertainty-based Sampling For AL,
Uncertainty-based sampling has been widely used in various visual recognition tasks. It aims to select samples that the current model is most uncertain of. One drawback of uncertainty-based sampling comes from the observation that neural networks tends to predict simila... | r | c816b59beb2ee195c72ebc5740b2379e |
In the light of our results and AdS/CFT duality, there should also exist Chiral Theories with partially-massless fields that are truncations of the holographic duals of higher derivative vector models {{cite:cd3f4db4272706828d6196b87ab8dbca2ea4d422}}. Such theories should still admit a smooth flat limit where a free pa... | d | a754f9398d9536199241ef741e50d1d4 |
Comparison on BSDS500 and NYUD-V2. We first consider the BSDS500 dataset and compare the performance of our approach with several traditional contour detection methods, including Felz-Hut {{cite:7b2d72381beebbdba1ffff8dcef7f9ac5b1e1b97}}, MeanShift {{cite:09ee7b76badb1549ecfc0f30c0321f368cf9f5a8}},
Normalized Cuts {{ci... | m | c08b0c82768488d7345564598c47b56f |
In this section, we review and describe the main categories of existing image captioning methods and they include template-based image captioning, retrieval-based image captioning, and novel caption generation.
Template-based approaches have fixed templates with a number of blank slots to generate captions. In these ap... | m | 96aa6547e79f641046bdadfd5db38c37 |
We assume that paraphrasing is a relatively simpler task than abstractive summarization, with the underlying intuition that paraphrasing is a sub-problem within abstractive summarization. To bolster our hypothesis, experiments are conducted on the extractor-abstractor (EXT-ABS) model {{cite:2343f909ace1effe15c4aae657e2... | i | a2e0e0f70367475bb92c81c16d155e1c |
Chen et al. {{cite:4b4aa14dfbc0ff8caed402ed2e161336c7941c72}} proposed conditional generative adversarial networks (CGAN) to achieve cross-modal retrieval of audio-visual generation (e.g, sound and image). Unlike traditional Generative Adversarial Networks (GANs), they make their system to handle cross-modality generat... | m | e09c28cabc28df8380b207f31d5c3357 |
Figure 2 shows the change in the pressure in the container during crystal growth at two temperatures.
At the moment t=0 the critical nucleus appears.
The crystal grows fast. The growth is accompanied by the drastic pressure drop to the phase equilibrium pressure. For temperature 0.74K,
the supersaturation decreases gra... | r | 1e078c604c571df51dac23cb6c5cd420 |
For certain important problems of fundamental physics, for example,
exploration of quasi-local action of curl-less vector potential {{cite:8cf62264482faf6bfe907266ecd50d324fb743ca}}, it is necessary to use superconducting micro-bridges for which the
magnitudes of critical currents of superconductor bridge are equal for... | i | 0ae95af1b90db7d9e7610a9ded3fec58 |
where {{formula:22285beb-72e7-4cd2-a122-90f444809e2c}} is the learnable parameter.
Next, in order to enhance the representational power of the convolution kernel,
HERALD adopts the self-attention mechanism {{cite:95bea520b26ab2a44e7df127687029fa591a5553}}
to encode the non-local relations between paired nodes into the... | m | 1b164d357e2db917f852ed0435970e17 |
Self-supervised initializations may also be a superior initialization choice when adapting to domains very different from ImageNet. For e.g., Kim et al. {{cite:51856bc76d4b123bfb1d8e060a07d059b33d034e}} find that SSL initializations outperform supervised ones when generalizing to a benchmark like WILDS {{cite:5c9359535... | m | f0c98cfe3aa62dba29c47b81e6d5a2d5 |
In this section we compare our MEFNet with SRN {{cite:649e8b335be166a09536f6f03f33aa5600a0d84f}}, HINet {{cite:c64b506f4311e6608af40f50213eced4ca8b2c37}}, MPRNet {{cite:466d0c34d9215989ced39afd80928610af7ab4a3}}, SRN+ (the enhanced version of SRN), HINet+ (the enhanced version of HINet), and BHA {{cite:45bcc8d8186e932f... | r | b366d25147ffc75930ed4faa050eb02e |
Various authors have described the effects of a hot thermal electron population on afterglow emission. {{cite:3cc69d2d233666b046fb5c6756e9b15c1ce17c83}} computed light curves and spectral evolution for a variety of mixed (thermal and nonthermal) distributions, but they used an oversimplified model of emission. In a pai... | i | 65d5ae149515468cba970f07949f5908 |
We focus on two experiments related to training neural networks, as in prior work on meta-learning {{cite:691a016756a56af6e7ebd30517de0e1d80f057a1}}, {{cite:a849f4eec1328361de2513654e9291a3bc4071d2}}, {{cite:af3b465d13e5d3d93e86ccf1c2e430786b5a8eda}}, {{cite:5b0d2e1b673edd4daaf6da62f53347c10b847d66}}. More experiments ... | r | 03a1d0d036d33fefa5c520d97343c569 |
In recent decades, profound connections between the physics of strongly interacting 2-dimensional systems and the mathematics of unitary modular tensor categories (UMTCs) has emerged, through an increasingly well-developed understanding of topologically ordered phases of matter. This understanding has culminated in a c... | i | 9b8a60174866aed24895cc6f1f01faca |
In Fig. REF , we show our results on the photoproduction cross sections for the case of {{formula:ddfe4c3d-4f2f-4d92-8a45-23a9b42058d5}} as a function of the beam energy. It can be seen that our results (shown as a continuous line) are in good agreement with the data obtained by the CLAS Collaboration {{cite:b8edf959e... | r | 83a7c7f563bbe0bce8385f4bb4551d0d |
First, the current approach to penalize the violation of the Lipschitz constraint might be expensive as it requires 1 step of back-propagation for each power iteration step while calculating the adversarial perturbation. Although this extra computation is standard in Lipschitz regularization (e.g., Gradient Penalty {{c... | d | 3dc1d6e7cfa02b11c6c0de5db037bf59 |
In our analysis, we used FVD, a derivative of the Fréchet inception distance (FID) {{cite:692810cf3943d8219e27edb4ab5ffcbfd286a717}} for evaluation. Both FVD and FID use the same technique to measure the similarity between two samples groups. They feed both the generated and the real samples into a pre-trained GoogLeNe... | d | 22295964287122e38df248770b649058 |
The use of tensor network states is a modern development in numerical analysis {{cite:09dbbc3dd4df11e8417f380f515aa2554649f856}}, {{cite:a299ccaedde14fc3cf9b8f50490e69fa51e494b3}}. In the field of low-rank tensor approximations, a multivariate function {{formula:2079ffe5-191b-48c8-b03c-3273ae181a05}} is approximated b... | d | 51ed6b71b3abd99dcfd507cda95b90e8 |
The whimiscally named Carroll group {{cite:6c407fafec5009daf9b2b67595142d05c56cba24}}, {{cite:f65962c52d03381b8a749d5be9c645c9ee377ca5}} (after Lewis Carroll and a quote by the Red Queen in his famous book) is obtained by a seemingly bizarre Inönu-Wigner contraction of the Poincare group, where the speed of light of a ... | i | bd742fa07dcbcc5d7bdfebc14d8c12ce |
CryptoNets {{cite:61dedd548587733f9826a660ac4a2c4411dbd21c}} is one of the earliest works on PI, fully leveraging homomorphic encryption (FHE) to guarantee data (but not model) privacy. However, CryptoNets only allows polynomial activations due to reliance on fully homomorphic encryption. Subsequent works, including Mi... | d | 3979db714a1ceb0770576cc0107411d1 |
Edge-on galaxies offer a unique perspective on the distribution of stars and
dust in galaxies. A major advantage of the edge-on view is the ability to
resolve the vertical distribution of both the stars and the dust, and this is
exactly the reason that in this series of papers we study edge-ons.
A well-known feature of... | i | e56417342d314a549a5b23c148296c4c |
Regarding the gain medium, it is important to point out that while a typically gain medium consisting of many emitters, the physics can also be realized by a gain medium consisting of a single qubit. The qubit should be weakly coupled to the same cavity as the strongly coupled qubit, and will lase, provided that the ga... | d | a5356f72ada6bdb0e1c5ef19fda2e421 |
The dynamics (REF ) is motivated by the idea of
the Heider balance {{cite:e0955adf82113e19788076d7d2ba84cc65fbae44}}
in social networks, where the variables {{formula:c19f5383-8351-47b4-a7f3-70d950ca3796}}
represent relationships between agents represented by
nodes {{formula:c1bcfa11-1df7-4981-a6cf-5725f760b7f8}} and... | i | 0fbd0b817138440599670bfe6510112d |
Define {{formula:a30211d5-db48-4b70-8e81-d8151b67b354}} , that is, the set of states in the Markov process that reach threshold {{formula:1c0edb8d-4f9f-4185-9179-c2511b661016}} at time {{formula:7bc80df9-1b50-484f-8856-7789032bc095}} for {{formula:6a9832af-b55a-4974-8a8c-2113d84b45f0}} . At each {{formula:4c279a90-ad... | m | 2d442ab62f0f02bec05711b3df7fce7f |
Wheeler's no-hair conjecture {{cite:09457aa78348839820e80f49204909a8ba5869d4}}, {{cite:1fb320416e61995d7aa0168829a7f5236f252d27}} has asserted that black-hole solutions of the coupled Einstein-matter
field equations should describe bald spacetimes in which spatially regular static scalar field configurations
cannot be ... | i | 6c2ac8eff450fc5988bdbf0c735fd45a |
Our results indicate that the presence of the intrinsic charm implies
enhancement of the prompt {{formula:5a7fdb01-22d6-4f86-a5f8-cb9d61147daa}} flux, while the saturation
effects suppress it for high energies. Another important aspect is that
the impact of the {{formula:ed0623d7-c15c-4d9b-a199-9cf361c70608}} mechani... | r | 1cc56359460d3f712bb49466bed8e6be |
Due to the extremely high computational cost of deep networks on high resolution videos, existing deep VQA methods train only a feature regression network with fixed deep features. Among them, VSFA {{cite:97779954b710948ad149cb8522b803148d602b6a}} uses the features extracted by pre-trained ResNet-50 {{cite:d0e33fab8794... | m | 151b2a47d576f82239d5acdfb81eca51 |
By solving the invariance equation, (REF ), one actually obtains a parameterization of the limit cycle and its isochrons (2-dimensional slow stable manifold of the limit cycle). In other words,
{{formula:b1916573-6300-4a3c-a0e0-d6398e359340}} parameterizes the limit cycle, and for fixed {{formula:92a82e1b-0922-462b-96... | r | 14559ef723060a118b2c2a90fa1b2770 |
where the uncertainties are mainly from the decay constant,
the Gegenbauer moments {{formula:b507411a-ae58-4e41-8735-1d269fceecba}} and {{formula:2f9a18fb-db52-4ca3-8805-936c61fdc743}} of the scalar meson {{formula:09762b90-7ef3-4aec-9ef4-ee8468426758}} . From the results, one can find that the branching
ratios of {{... | r | af40a2261745061808cfbf331a01f344 |
In summary, our numerical simulation clearly demonstrates that the ground state of Eq. REF in one dimension is in an analog of spinon Fermi surface state. Similar to the higher dimension spinon Fermi surface phase, there is Friedel oscillation in the layer polarization {{formula:83789983-891c-4198-8815-92ea3b4504c9}} ... | r | a462a17f6fe139d3f6789b4295c13d5b |
In this Section, the formalism and the implementation of the CV method {{cite:6501e77230613232b155fb6396acc39543256bc4}}, {{cite:d9a6d5b290ee508057e3e9ff42b7b362494c3976}} are reviewed. In the KS scheme {{cite:63da96c82caa6dfd46de6eafd2fc79d16762f925}}, a system of {{formula:11cbaec4-606b-4b16-a2e7-c3965dc90d82}} inde... | m | 1fa7d9d53251d5eeb307908329412280 |
Another branch of EBM works trains a generator network in tandem with the energy network. Most works use the standard EBM update or a close variant to train the energy network, as we do. In some works, the generators produce the final samples and no MCMC is used, while other works use the generator to initialize sample... | m | f2937eb38225548a7542b28ce283b872 |
We apply our approach to the explanation methods following {{cite:0a2a03d7f3dbdc44ca7fcc02044f1c2a45519f53}} :
| m | ca2a5c306e852bd90f73c397af669d10 |
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