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Theorem REF (large {{formula:01c9fb27-a834-46cb-b642-bdeea2bb1faf}} ) follows from Theorem REF and a result of Lenstra {{cite:777a3b8df3d6ec3e09d4c9acea50ee64b6ea53f4}} (cf. Kannan {{cite:75b1fa7773c98ff81f8b1c5d63cfb64effc60c47}}), that shows {{formula:606f3f46-8e3c-43d8-8d6a-da106d59de0c}} is fixed-parameter tract... | m | f210d10b56c6bb1748f56a00af492e36 |
We extend this framework to work with high-resolution histopathology images by making several adjustments. First, for our generative backbone we use StyleGAN2-ADA {{cite:b7872aef23b2b1eb828ab8af23053a0f99614c7e}}, which has been proven to work well in limited data settings with histopathology images. Second, unlike {{c... | m | d11d33e5267fce298f371d09e8a5761c |
Recently, a lot of substantial progress has been made towards research on automated radiology report generation models. Most frameworks adopt the encoder-decoder architecture {{cite:4256c9be9f2ce8ebcfe358443be65bd508bd68f5}}, {{cite:0685f86ca3c1bf529e5711985feb32f2bba8efef}}, {{cite:e06d887e00311b8ef89c7ddc09b466e24880... | i | 3b90dd858a2adbffa98d310ad0229d76 |
In particular, extremal black holes play a key role in various types
of gedanken experiments that have been designed to challenge the
Penrose cosmic censorship conjecture {{cite:72ea27405021d36ebd54f2abd721f48709db02d7}}, {{cite:868c0a7d63b09e8d15497f29cc3d14080630055f}}, {{cite:395643d1e91f0a5552fb220d56477c46774a04ab... | i | d631920d09816d1a698739ea0dd9bf6d |
We employ an off-the-shelf pre-trained language model T5 {{cite:fd0b3ec211cfc78f72efb7c027304e992eb79861}}, experimenting with both the T5-Base and T5-Large variants.
For all DocuT5 variants, we serialized the database schema by enumerating the table and column names, similar to {{cite:13b834c70a142371b3bc3a56dba5eb209... | m | aa87629416df6c0297866ffc21743a48 |
In the X-ray band, we find that the luminosity of the soft Comptonization
component {{formula:a40fd357-cbb6-4d93-8a1b-7cdc1e599843}} correlates well with the hard component {{formula:44b75bf5-7a05-4d34-89f6-902140ccd750}} .
While there is some evidence that the high energy index
{{formula:f4e6d7dc-5f36-4634-81ad-191f3... | d | 398c7f925893e38d6c6a092d9f505fb8 |
Graph matching is a term used in machine learning for the problem of measuring the similarity of graphs (e.g., {{cite:65c6517f133d0cc9302e06017a2c30f1e24e0a43}}), where it has its applications in pattern recognition.
However, there is no universally agreed-upon notion of similarity, and a popular notion, the graph edit... | i | 073c418145254565d3e1d83ae24d83e5 |
Transitions as Features. The pattern of probabilistic finite state transition that the sr-RNN learnt can be used as a representation. Figure REF shows the t-SNE {{cite:01211e3503b38ca9c44d997cf0d86203233bf9ad}} of finite state transition probabilities for test samples. We find that the transition probabilities of cate... | d | 16c5dd51d1027b0627b72880d2974158 |
Table REF compares the SwinV2-G model with previous largest/best vision models on ImageNet-1K V1 and V2 classification. SwinV2-G is the largest among all previous dense vision models. It achieves 84.0% top-1 accuracy on ImageNet V2 benchmark, which is +0.7% higher than previous best one (83.3%). Nevertheless, our accu... | r | 2794f7b8083d4ca8936932a4b378650d |
The timescale of Oort-cloud formation is probably closely connected to
the birth environment of the Solar System
{{cite:6e048ff130e4ea81307f8d037b358a27c7335a38}}. If born in a star cluster, as argued by
{{cite:8e98d7e03a5ee345e3a6f80fffbea03bdca9458c}}, {{cite:d0548fd8f2f7c5416715f018dca36c71998a6c84}}, {{cite:e165f97... | i | fdb4418cb6611f2edd52a7d3bd929b80 |
In this work we investigate Borromean states in discrete-time quantum walks (DTQWs) {{cite:f87d51d425461b7121d545cb0e9cc17f313c43f5}}, {{cite:c58d58e982954d39149d430805b4f6ca01f92622}}, a basic model of quantum particle-dynamics that is known to simulate a broad range of physical phenomena and was already implemented o... | i | d5ab467a1c1ab9f932ec08384effbb68 |
Efficient exploration in the absence of dense reward signals is a long-standing problem in reinforcement learning {{cite:26f3ca43baa7fc5d2e4f124b0803d1f69fd4f9cf}}. Without dense extrinsic signals, a promising alternative is to define suitable auxiliary intrinsic signals that can help the agent in exploring its environ... | i | 6921284d7dd1495579cc00938a31c129 |
We use the pairing model to generate random {{formula:30129f0c-8104-4e94-8604-d558d4362f5e}} -regular graphs with {{formula:253059fa-dcd2-4f3e-84e4-1921bc4f6abd}} vertices, where {{formula:08f69838-502f-43fc-b4ae-5a39bed95ed4}} is assumed to be even. The model was introduced by Bollobás {{cite:9d1688bc90773b10c7625cf... | m | 91cd8ed7f3962f57bd42089dbb98510d |
In lower dimensions, one observes a broader spectrum of string-derived supergravity theories, but these nevertheless show some intricate structures not naively expected from field theory considerations.
For example, the rank {{formula:a5ce5eb1-da1e-433d-8a6a-e42671f14755}} of the gauge group in known string compactifi... | i | 706ccb1c794bbc51ff0146e618ddedff |
The class of almost periodic functions was introduced by the Danish mathematician H. Bohr around 1924-1926 and later reconsidered by many others. Suppose that {{formula:2a8fb4a2-2049-44bd-bcdc-4fabedddf073}} is either {{formula:5e22d9fe-2fdc-47b4-8847-be4bdeb2a44c}} or {{formula:2eb22031-b4c7-4c22-8584-f6ae46346542}}... | i | 8389075a1bea00799a5c3715970fb6f5 |
What I did in my paper {{cite:d3643043a09d1753bd14babe4b289d33760f8d7f}} is realize that what Berry was doing was simple and standard geometry in the exact same setting as TKNN. I'd learned in the meantime that the TKNN integers were called the Chern invariant and the curvature {{formula:73fc5bb1-9ede-43ef-bf9b-15fc04d... | m | fd910376c9e102a7781ed83047f2c276 |
We first compare with methods exploiting high-frequency features, i.e., SRMNet {{cite:894cf28b3bc78758d99c471be5dc6eeaf195a3c5}}, Bayar Conv {{cite:a9befb8e5e15423a14253ca788e9e24b501d6544}}, SSTNet {{cite:86e42b0c531f9bbf9d3e74c4074a60d7d642cd7a}}, and F3Net {{cite:6b084e1db955c4fd1024999f59b078d46b921f53}}.
The forme... | m | 75c449509ccedbf12674b04eb2cc367c |
In the analysis above, we always assume {{formula:d764e60f-2535-42e1-ba70-3ae209df5485}} as expected in the realistic case for non-leptonic decays given their present sensitivity. This also provides conservative bounds, as any other final state (e.g. leptons) would be easier to detect. The most important caveat concer... | d | eeb5b4b6b9c02ac816a9098fb120e5e4 |
For the NSFC population (a), time triggers from DECIGO+ will result in {{formula:31b4ee26-f78c-42d6-8a91-e8d6a67c7374}} . For Ult. DECIGO, {{formula:789894bb-e29e-4b5f-a6f5-5c6b96d4991b}} is expected. For the mixed population (b), the prospects increase substantially for DECIGO+, where it can help detect {{formula:f36... | r | c86d77bcb0cf291ff9eeedf4fa080346 |
Here the images of {{formula:6a9d4e81-c9d1-4911-8597-d5e2ba38d8d1}} in {{formula:1d1bcfde-c39f-4800-b4cc-feab5beff3d4}} are root vectors for {{formula:3cb96859-b5a3-447d-a41a-e6afd35bafdd}} in root spaces {{formula:ca91273c-0acf-4889-99ea-af5585d59fab}} and {{formula:6b367eac-c7e0-42da-aa92-216b2bda5815}} respect... | i | a95e2f9bb965083b616af7fbdd34221e |
Most existing datasets for training overhead object detectors are labeled with horizontal bounding boxes {{cite:dcb90fccfbdf85a50ca23e8c176172999bc2aa7e}}{{cite:47ae0025b84cb260bbf450e885aa59dd540b4b44}}{{cite:e5c10084ddc46433e03eb1ec8bc0e0d363cf76d9}}{{cite:707fded8c14abdf0ee823f2dec6ff2539ea718e9}}{{cite:a79bfde6eab9... | i | b1d8f87970ae65c7efc4ef8e2dba65f8 |
Theorem 1 ({{cite:6857d34904730f8ef972101fa2c87b5844512e5d}})
We have {{formula:e13fee8a-632b-4595-8bb3-5b9f4087a1da}} if
{{formula:9d8f09ab-0fe5-413d-98b8-9062438db2a1}}
| r | 6bde1317d9aa800f21f07ed02a61f491 |
Remark. If the Conjecture on the Finiteness of Central Configurations is true {{cite:4c964d0fa8d341704ba54c4cb23bd69047e6e4cc}}, {{cite:2c536a13005e1e2e36605586aed3a96f98307469}}, {{cite:b3e0c6675aa5661f74baa96709df96dc3aa88622}}, then the Corollary REF is obvious, but we don't need this hypothesis here, so the Coroll... | r | 69174ce4a6e70a011c75307c16c43223 |
where {{formula:7b86b362-26cb-4ca2-b529-e40d8a8c09f0}} and {{formula:c8cb7c03-fc61-455a-8a2f-1f0b867c37dc}} are independent variables, and {{formula:3bc7667f-d9fd-4ddd-956c-2e580e72fc33}} is the skew Schur function {{formula:f5f9aafe-8280-4d16-aa7f-3c1863ede031}} specialized to the case in which the symmetric power... | r | ff1792e62dc8d0d3d6fa0f788df3b6ac |
One of the challenges in audio captioning is to address the lack of training data {{cite:21859a7ba9c2208db5dc5beb904b856646f7683f}}.
Typical datasets in audio captioning, AudioCaps {{cite:85fa197a97e1dbc0591bc080ba38f95ca43a84c0}} and Clotho {{cite:90517b0bfb9d9093daa72a3163e4d69d67429421}}, contain only 49,838 and 14,... | i | d322f47f6af832e5d43743544411b0ac |
In our search for methods that model scientific specialties as networks of journal papers and enable the identification of thematic structures in those networks, we applied the algorithm developed by Lancichinetti, Fortunas, and Kertesz {{cite:19a28994d48c526bf0dfd9f5ad23b8397b4d35e5}}. This LFK algorithm is well suite... | i | bae27f62927d4ec5f74931be7fcb3f67 |
Due to computational feasibility (ExpGrad needs to store all intermediate models at
prediction time), we
combine Grid Search with FIFA for the CelebA dataset and ResNet-18 and use both
Grid Search and Exponentiated Gradient on the AdultIncome with logistic regression. Besides {{formula:cd45d7c6-c781-42f8-9808-f40b92546... | m | ac659a6b3ffcb8d4a368915a4bd1fd80 |
For the first problem, inspired by compositional generative models {{cite:94e3fcb704ac3636096114adb2f150d0eddf486f}}, {{cite:e7c80ac82810e3a8e5f832e34c1e5715714b7a73}}, {{cite:e9e001fc27bbb088795ad3a60671f290b2a0883f}}, we introduce local generators and a compositional synthesis procedure as the inductive bias. For the... | m | 0571c4e445fc786cd146869a8b40c5f4 |
Moreover, one can estimate the value function terms {{formula:5ae58284-de1b-4d40-9996-52bcbc884ec4}} in (REF ) by collecting rewards from the Monte Carlo rollouts (as defined in (REF )).
This learning algorithm is called the Monte Carlo Policy Gradient algorithm, otherwise known as {{formula:2e664ee3-9ac1-4dc5-82f3-e0... | m | 0e64b56ea45b649e414358a5f39e9e6f |
Firstly, we consider the case of adopting the differential cross section {{formula:0530c5cd-3da3-4c13-b877-7bd314c45edb}} at a near-threshold energy region to study the QAE contribution.
Combined with the predicted differential cross section from theoretical models and the VMD algorithm,
the QAE contribution ({{formul... | d | 479cb4bf8ea1e1549b431a9ace647a50 |
Q-learning is arguably one of the most widely adopted model-free algorithms {{cite:aa300f79c075ca5969e410bca9f1f36644e4f8b0}}, {{cite:42450b150f2e7539c989886cab30bf810c78d490}}.
Characterizing its sample efficiency lies at the core of the statistical foundation of reinforcement learning (RL) {{cite:636a3f34f0830cc50bdf... | i | 7c4f8a3367fa26bb7119ff43dcb7ca16 |
In {{cite:8c7643298da192144cbf942bba1e68139b179e7b}} two policies were considered for the treatment arms: an “initial policy” based on the results of {{cite:24f8311fd792e4f51c9197c9ccb53a07977dd9db}} to incentivise exploration, designed so that: i) no message was sent on {{formula:69bd6c8a-a1fe-4238-a31a-3cc988fed3fe}}... | m | 2504f724d57266d1781b4027282eb0ef |
Recently in 2014, the LHCb Collaboration has determined the mass of the {{formula:35efc4cf-32bc-4c21-86ea-1658e08e1195}} using its radiative decays to the {{formula:bd061800-2254-4f95-a0e4-37b2a617af61}} and {{formula:2f0666b6-6dfe-4100-9293-89cd5adc9b05}} mesons and the measured mass of the meson is {{formula:15d8c... | i | bca55b0f4c69f48599f01a122acb7a0c |
Clearly, this `malfunction' of sieving through {{formula:475b3dd2-d7ac-4ce0-b602-c7ceb4d2d1bc}} -spaces is due to a lack of some kind of hereditary/hierarchical structure in spaces in this category: no particular collection of subspaces of an {{formula:b952f7e0-61c1-48c1-a10d-0f1ccf4ab01b}} -space is forced to inherit ... | d | 5ba54f3fd62ddb7adc40bf3f080c0d80 |
It is of fundamental interests to study the quantum control of
spontaneous emission which inspired the development of the quantum
electrodynamics during the last century {{cite:cd5df9dbf60cdf11a114146516432d994275b837}}, {{cite:9550d0d746031b5c17c26ea199c5b6fdea0c76f7}}, {{cite:990e5af4f2d5b5aa975bb38f552e6852a142e964}... | i | 8c4c1a29e50d6c464161e942d031802c |
The LSTM baseline used in our Omniglot experiments have a hidden size of 128 and use {{formula:d0e92624-2887-456b-a021-7324549bd270}} latent modes.
The input is first projected into this space using an embedding layer, which is identical to the one used in AutoBot.
All input sequences of sets are encoded independently... | r | da41e0396049290457c6113b67139b40 |
For {{formula:560fd828-2136-4d59-a3ac-a6a72872193c}} decays into {{formula:efda2d3f-fb7a-48d5-80ff-3074357df546}} our estimated results without radiative correction are consistent with {{cite:99ef74cd0c5ccb8862b7da08f9fb56a59638df16}} and considerably lower than that from the {{cite:f9787c69670173e0e5ab3fe909bc055ed5... | r | 2ef08a458e362b2f4e1536ce38a4f808 |
Table REF shows additional results on xGQA.
We outperform multi-lingual zero-shot baselines on all non-English languages, without access to English GQA labeled data. This further confirms that our unified approach to mVQA is effective. In addition, unlike on {{formula:672ca82b-36e4-4f7c-8a35-0f006accdd1d}} , VQA2.0 ... | r | e58a4c7a1f2fbedc417806990cce93ab |
Remark 8.13 One may want to compare statement () with {{cite:1651f80085ce69c068b5fa2a762d0d04f3446b61}} in which
the product is replace by multiple harmonic sums. Furthermore, Au
showed that the level of the CMZVs can be lowered to 2 in that case.
| r | ed9acc7d48b6bf27be644f792d0f64dd |
(1)
For the neutral {{formula:bf86bd0f-0ea0-4eda-8884-45099ab0dc68}} mesons, the wave functions (and the distribution
amplitudes) and the decay constants are same as those extensively utilized, for example,
in Refs. {{cite:b34645621b2823a33a0665f875f6978332932362}}, {{cite:382e226e9b897a3eed4df88f112c4bae16627429}}, ... | r | bb7085d0f9ec70320df5f7ce7c93b232 |
As in {{cite:b9be41b272987160318e969024ba751dbfe1ed34}}, define {{formula:7e07a67a-3ef7-4898-8843-ca1d1e84f862}} where {{formula:06d14797-54bf-4982-9bfe-b753255d80d7}} . Then {{formula:48c496d6-bef8-42f3-82bb-96a3a1991fce}} satisfies the hypotheses of {{cite:74d61847af7df43332440f681ce2bede8be25016}} from which follo... | r | a76e664540c3914230c186ec723408ff |
To deal with the inaccuracy problem in smaller deviation ranges, we adopts a multi-stage prediction strategy. Previous BIQA approaches adopt a one-time strategy to predict MOS, with a feedforward structure. However, the way neglects feedback mechanism of human visual system (HVS) as is important for perceptual learning... | i | b8ae3ddc61c15baf1a5a368ec2c77fca |
For the parameters in the light neutrino sector, we adopt the current global fit values from Ref. {{cite:cfe89ff1d84bf30625b56818678f24bbcd62d78b}} and show them in Table REF . This leaves us with only three unknowns: the lightest neutrino mass ({{formula:d9f29cfc-d2fb-468a-8e50-ab8a0ecd1e7f}} ) and two Majorana phase... | m | eda375210c62f81f1e4be2fc35fe8795 |
where {{formula:fa5bf4b2-e9d3-4317-89f6-06a8fbf06c43}} are the DFT eigenvalues, {{formula:ab03d446-b6c6-4f42-afed-487fb64d11f6}} is the electron self energy operator, {{formula:22e27651-2767-4947-933f-da3480a60d8c}} is the exchange-correlation potential and {{formula:58295554-cac8-4b00-91bd-2f224a091dd9}} is the q... | m | 8365644d639c7eab312acb3a2bbda3db |
which are consistent with the one obtained in Ref. {{cite:0c6b338d6e9317503007ec04b307a640c09efe36}} very well, {{formula:bf08ec44-0c44-42aa-aad9-f49a1579881b}} , with a bit difference to their former results, {{formula:f3b5aee3-0b51-4df4-a6ed-ce8dae1a0004}} {{cite:e98615543023d6a96403bec0816d3eb0fd162d31}}. Furthermo... | r | c7597777c82214513d7961b3cc677c81 |
The Zak phase formalism that needs to be developed for the soliton metacrystals
should reflect on two features - (A) nonlinear interaction between the phonon and crystal and (B) the discrete sampling of the states in the Brillouin zone.
In order to make our derivations transparent, we first neglect (B) and, hence,
take... | d | d1647d4874636c864490ba7f15d9b519 |
Establishing a solid theoretical foundation for deep learning is greatly desired. A core challenge is to prove
that structured deep neural networks used in deep learning can outperform the classical fully connected networks
and automatically extract features when the data or target functions take forms involving some s... | d | cc3a5f7ae03228cec3c5e26889fbb00a |
Besides the improvement in the accuracy, ensembles are widely used for modelling uncertainty on predictions of complex models, as for example in climate prediction {{cite:e50c5282626946b4c38f58be842da69907f46ba7}}, {{cite:5a9c4532932dfb3ef6435211bf56c0c2efebfe42}}. Accordingly, ensembles are also used for quantifying t... | m | e08540c335527e490abb876f430e4cbc |
Data-driven discovery of dynamic models has recently picked up much attention as there are revolutionary breakthroughs in data science and machine learning {{cite:3e89d60c67fd34fe171700cdb8dc1dee494730dc}}, {{cite:d0e1fd55cdd931574e034e618a3e38250c4f566b}}. With the increasing ease of data availability and advances in ... | i | 7e70ed9b0af96bce15fbeaeaa033984e |
Fusion Module:
Outputs {{formula:df131921-37ba-4621-8ea4-48a79d3e6b68}} , {{formula:03605ccf-978a-4c4b-8966-f5a1b44d27ab}} and {{formula:cd43d6ce-4cc5-429e-8bac-ecfc7f8c8302}} from both modules are fused via the Fusion module from Zhang et al. {{cite:824332804ea9e3446d319720406dae0c33acae7b}}. The fused vector {{for... | m | 211fb46f9144a105f3387a7261c68508 |
A single peak is also observed around 2670 kOe for {{formula:a0464d21-23e7-4cbd-975f-08c221662538}} {{formula:686af903-7b19-49c3-9542-4781937494f4}} to [001] direction.
The oscillation frequency provides the extremal area of cross section ({{formula:6b653af8-697f-49a0-93ed-2f22786a3110}} ) of the Fermi surface (FS) a... | r | b703425839c9d9ccaf65a0c21ed6475d |
We find that {{formula:e91caf13-6ae0-4808-8959-fcef41d5d16d}} can be enhanced in g2HDM to
experimentally accessible values, even for exceptionally small
extra Weinberg coupling {{formula:c864e663-cad0-42a6-9116-066c2b7c02b0}} .
This is in context of using large {{formula:70ce52ad-800c-4069-a542-b0b59e3989c0}} couplin... | d | d88b13433ef57431407dd61514f259b8 |
In Fig. REF the same points are plotted in the {{formula:880ae417-9b15-4568-a72f-09e48a280670}} plane with the oblique parameter {{formula:37d4cdc3-dc2c-4dc4-bae4-8ccae91ac273}} in the color code (left panel) and in the {{formula:3f9c09fe-6b4b-4dce-abc7-744d05c8f10f}} plane (right panel) with {{formula:09cd7e3d-49a... | r | 9d44134372987b292ed3273fed530df6 |
Character Variational Auto-Encoder (C-VAE) generate SMILES string character-by-character {{cite:2b58ed4ad26785af2b1c242908d7c4adffb6ba8b}}.
Grammar VAE (G-VAE) generates SMILES following syntactic constraints given
by a context-free grammar {{cite:2f5addae7aa9dd0d70b1b3a3458e089fdfbe3ed9}}.
Syntax-directed VAE (SD-V... | m | 5c5aa576c2a4d1a3565f88d1ab5e8541 |
Iron abundances relative to {{formula:7dc8c2b8-7393-4340-a8c2-4005a7f49ff9}} -element abundances change as a function of time and with the galactic environment {{cite:176b0b13cd89980b423d0fef62c9180a6b3644b6}} and this systematic variation of [{{formula:2e9e29e3-df39-41d4-a74f-2ef6a6af7965}} /Fe] needs to be taken into... | i | f121a3ca5d0db409f0e3e282e16cc947 |
It is well-known that {{formula:190e4fee-60e4-4b0f-a0a5-a6db8064db11}} . From {{cite:345c8bbb0d141271b9a2e77db710158f41396bf0}}, we know that
{{formula:97970f9c-5a64-4910-8c93-1e676e6acf93}}
| r | fcfa618372080ca1b8c477a426050d64 |
Weyl semimetals show a number of interesting transport properties, such as
an anomalous Hall effect{{cite:b3a8fb3839a936561d04e6ac421bf5d6d9ad2a3a}} for a WSM with broken time-reversal
symmetry, a chiral-magnetic effect{{cite:3c8a812293f3edd0e2345dabc7f905bc23677a81}} for Weyl semimetals that break
inversion symmetry, ... | i | 901671beef7d0899243e5f9088a652d6 |
Reference images is extremely important for evaluating images generated by GANs. Evaluating GAN-based IR models attracts lots of attention in recent years {{cite:ea43621365d481349c27a4c70a5730bfcc0d39a2}}, {{cite:61caf3a0991f7bb0c7b447c6ce18215cbb301244}}, {{cite:87f54bd88a46aee486ad01c10b9f58569c931c04}} as the artifa... | d | ccc5170cfd5102b1321f014e07d259bd |
Furthermore, no significant variability of the optical coronal lines in Mrk 335 was detected {{cite:3f4c1f0df46bfcdf247abd014d3d3ffed96f216a}} despite
strong changes in observed X-rays. As those lines are driven by the EUV-to-soft-X-ray part of the SED, the
observations indicate that the emission lines saw a different ... | d | 60cc66fa8491e4d83ab5fdc8b0a469c9 |
We begin with an account of the contribution {{cite:5e3b64768473760aeb9d9efa17f515dff457aa2c}} make in the context of reinforcement learning and describe how decoding can be used to query the information stored in the network. We then describe our hand-crafted representation which records information about the angles b... | m | 97d2b98c574614bf3b3023ab2bc54347 |
We considered the impact of active speed fluctuations on a {{formula:60f7a0e2-67c6-4492-a096-2cc620e12b69}} -dimensional active Brownian particle (ABP). We utilized a Laplace transform method for the Fokker-Planck equation, originally proposed to understand the worm-like chain (WLC) model of semiflexible polymers {{cit... | d | 6ea00f820ce66f6121211de6b1653a2d |
In the recent years, since the first observation of gravitational waves {{cite:188c3ce795a42b2ce103c6366e5b476a150f1070}}, there have been lots of new investigations on compact objects in theories beyond Einstein's GR. One of the key feature of many exotic astrophysical objects is that they are horizonless. In particul... | d | 4dd7cbc25138e4c3653b769422f596a5 |
Two-step estimator.
To go beyond {{formula:0ba38a1a-67cf-4768-bd23-532dd9db73e2}} statistics, we consider the set {{formula:e6bf5939-4f8f-431d-8a0f-136b36538ca9}} , containing the rates at which two successive transitions {{formula:0fbbac16-9550-4aa0-bc2e-6170633c8746}} occur for all triplets {{formula:c5f60797-a15a-... | r | c6dee67f62dded23e62ec43bad5ca5c2 |
For text-to-image synthesis, current methods work well on datasets where each image contains single object such as CUB {{cite:0e5aad108430eea98790ceaed1c8605e7d3faf8c}} and Oxford-102 {{cite:accdc0794f678c4174ebc6eb731af4004a412ffc}}, but the performance on complex datasets such as MSCOCO {{cite:98a52b8d533bb69160ef9c0... | d | 220b5a2041aab79725661a6f917bfff3 |
The epoch folding method was also employed to prove the QPO signal further.
This method is mainly unaffected by the irregularity of observation data and the modulation shape of periodic components {{cite:3303a855c7c15724146b5fda2fa67a129acf7338}}.
In Figure REF , one can see that this folded light curve varies with the... | r | 99cb61389b0fb5e23b607f9af7113286 |
To investigate the relationship between skilled control and the variability of actions and states, we analysed the aforementioned time series measuring the performance and estimating information-theoretic measures of variability for each participant in each experimental condition. To measure participants' performance w... | m | dbaeaba4c856f592c1fc75c6224bb9ed |
To this end, we also note that Mauring et. al {{cite:6efa58c0409194ca3bd7af8bf7779eeb961c4e39}} observed fluorescence enhancement of the blue fluorescent protein (BFP) with hydrostatic pressure. The coupling of BFP chromophore with the rest of the protein is different as compared to GFP because of the His66 substitutio... | d | 41f99200f0b56ac0fe28e34720a10a8c |
Currently, the state-of-the-art method for dealing with multimodality is parallel tempering (PT) {{cite:cfae5d287de1cb567320fa69ebcb6e1dbf361608}}, {{cite:5356cb1d0d1fee87440d02b018d7dbf97d55c933}}. PT is based on several interacting chains that converge to a product of tempered distributions, one of which is the desir... | i | d08646cecdf5cf53ca3ed23710be9c6f |
We conduct experiments on CLEVRER against several counterparts: TVQA+ {{cite:59efdf1ebde5868de83302bff50badf4eef61865}}, Memory {{cite:c8c9158f5dc31cb60827b79b3d90d5210374b2fe}}, IEP (V) {{cite:91076eb00982d754c075c470550b5860a55732ca}}, TbD-net (V) {{cite:1c0e74ca12fc24b77a0f99b047d44e3910d4d135}}, HCRN {{cite:d85d604... | r | 380bad8a754ed8c8fcb4737a12e65a36 |
Two recent and popular approaches have been selected to guide the explanation of the proposed protocols, which will also serve as a baseline for the aggregated dataset: 1) the Color-based face-PAD proposed in {{cite:048c27b88c170c2d836ff33bf9a80b58707e5648}}, and 2) the Quality-Based method proposed in {{cite:ba4958cae... | m | 46b3405bbbc7ab984ddd21316d3beeb5 |
In the best case comparison (Figure REF ), it is clear why a sufficiently large, yet not overly large, eligibility trace time constant for the non-replay case gives best performance – it must store a suitable amount of the trajectory history for learning. If the eligibility trace time constant were too small, it would ... | d | eba29c7e802e74e19590a9ee5249bb83 |
Given we now have weight-shifting operators that both preserve and raise the spacetime dimension, is it also possible to construct operators that lower the spacetime dimension?
One approach we have explored, explained in appendix , is to find so-called Bernstein-Sato operators which act to lower the powers to which th... | d | a334ec67a2d32bfe5446db79844f003d |
where clip function {{formula:c7de4fec-6aaa-40c5-99a1-e2acc63e98fb}} . The choice of {{formula:da9a5071-10e7-482b-982d-697890af9706}} affects the bias-variance trade-off: when {{formula:082f31c9-d959-4356-bc60-4ef3a8d1adc8}} , {{formula:abef2906-4a57-414e-8a11-c9e293a1523c}} converges to {{formula:3c482986-7a12-42a5-... | m | 6c2a1105ccd7e90de492a3202ca6f1ce |
There is a general expectation that the smoothing of the singularity {{formula:869fddf4-94d1-4908-9ebd-7a71069d337e}} (i.e. its Milnor fibre) should be mirror to a resolution of this singularity: Brieskorn–Pham singularities fall into the framework of Berglund–Hubsch {{cite:a1b0dbadcecdd25ac5108a541f74c9256efcd3a0}}, ... | d | df618138757a15f77a3122c411bc88a9 |
The achievable precision of an actual RV follow-up campaign depends on many factors, such as weather, observational windows, the number of RV observations that can be acquired, the properties of the target stars (e.g., magnitude, rotational velocity, effective temperature), the resolution of the spectrograph ({{formula... | d | 48bbaacc3ad361e93e46c9ab149ab529 |
Thus, we can use Lemmas - and the Brenier's theorem {{cite:342215a29c2d54de7a853c71ab45a59baef40ab3}}, {{cite:70724b3057448cbd455205fed13631f35bf3630e}} to define a mapping
{{formula:6a89c249-4cfc-4556-a695-9375e2e7f592}}
| r | 0bc08cdf49ba613d02e11d9ffe60a9b2 |
For a non-homogeneous linear form with two integer variables, we use a slight variation of a result due to Dujella and Pethő ({{cite:c43742fceed33171018c40a30d6bfdd775cd476f}}, Lemma 5a). The proof is almost identical to that of the corresponding result in {{cite:c43742fceed33171018c40a30d6bfdd775cd476f}}.
For a real n... | m | 9c54db27042205beee0352b8a077c9cc |
The boosted decision tree is an example of a relatively modern
development in Machine Learning that has attracted substantial
attention in HEP. Support Vector Machines (SVMs) represent another
such development and will no doubt also find further application in
particle physics; further discussion on SVMs can be found i... | m | b786b161aa63363d5a2cbb6579312ed2 |
The disjoining pressure {{formula:40c4b3e1-8944-4d5e-a8b3-1fec363a1c6d}} was computed from equation REF , and is shown as a function of the slit pore height {{formula:154c7aa6-92e8-4d92-b882-0f1252830a71}} in figure REF . The disjoining pressure was here defined to be equal to the integral normal pressure minus the n... | r | 9f13365450abbaf4e321064fccb761e8 |
In the classical version of the Prisoner's Dilemma, two agents can choose
either cooperation or defection. Hence, there are four payoffs associated with
each pairwise interaction between the two agents. In consonance with common
practice {{cite:70fc8e2a93bedc10d50a607a3035a586451b2283}}, {{cite:f4fb9de40f5e084e26b4788a... | m | 6f9fb6c445562743aa60d87ba36c72e6 |
This letter addresses the long-term localization problem, where the aim is to localize a robot within a pre-built map across varying levels of appearance change induced by time of day, weather, seasonal or structural changes. We focus on topometric maps which do not require metrically accurate reconstructions of the en... | i | 8f0fa85f3c0ab78a4b2880aebf35fc62 |
Did the halo stars form in situ or were they accreted?
This is not yet clear, although it seems that at least a fraction of halo
stars have been accreted, since they show lower [{{formula:e22c2223-2358-4c04-8e10-7f2334708453}} /Fe] ratios. In fact,
the best tool
to ascertain this point is represented by the abundance ... | d | 386e197674a02c21629236349f183674 |
The energy spectrum near the ground state is shown in Fig. 2(b). The magnetic quantum number
of the ground-state changes as for the semiconductor quantum rings {{cite:ccb70222324591127d81661a93b42d7f265cb276}}, {{cite:c1d9e65e787216234c4ba9bbf753daf956b398ef}}.
For a strictly one-dimensional ring of radius {{formula:cc... | r | d1d4ac6046b43d58090198eca39c8a6c |
see e.g., {{cite:d403fbc4a4ed533553980590ee0b732de5e73060}}.
| r | 07bfc5350650ef209a5a4d675abee16d |
2018 {{cite:5a4c2ec184d7b27a5e275500c2868c94fc03d9d6}} YOLOv3 Improving accuracy
| m | e40394d101bcf50a79150e87e33bc910 |
Adopting the theory described by {{cite:d0106ce4cec8e8350babaac4afc537bac2502c48}} and used in {{cite:cb888f99e6b21ad79458b6cdee52ed2aa1c08eae}}, the predicted source sizes of a Type IIIb striation are much smaller than what is observed. The most probable cause of this discrepancy is a combination of radio light scatte... | d | d1bd1a12f5a8a67c3f8b0c104a8b2303 |
Not all relational networks are restricted to have only pairwise relationships, and polyadic relationships are also ubiquitous {{cite:ebf112c91b57846ec89a9a9c1e3b46950fe9403f}}, {{cite:6ec3852798bb043e3e3a2eb0c8628f347298adc4}}, {{cite:4db67b2875c81971401fea7e6dca375d9d9af595}}, {{cite:3befc045d4237f8246a74aa7895c2895e... | i | c3f6e6131e7cecfecfe1270028c297f0 |
In the top panel of figure REF we show the annihilation cross section as a function of dark matter mass {{formula:23da43c9-4959-4ab5-8787-6d580fa79443}} . The solid red line correponds to the predictions of the inert singlet DM model . Bounds from FERMI-LAT {{cite:d2b693a69037da50a331ae6c42200c9a7c3e1b50}}, MAGIC {{ci... | r | 99a523595eb127bfc3d7e6e91c126932 |
Our tagger is a hierarchical deep neural network consisting of a bidirectional Gated Recurrent Unit (GRU) network at the upper level, and a CNN or a ResNet at the lower level, including an optional novel residual bypass function (cf. Figure ).
Bi-directional GRUs and LSTMs have been shown to yield high performance on s... | m | e8c68f747e8e20c346e81678a48654c3 |
A new proof and generalization of the Mass Transference Principle of Beresnevich and Velani {{cite:b85545ac615a11e9eccc64e0664f44fab759cc75}}.
There has appeared quite a substantial number of works building and generalizing the work of Beresnevich and Velani. MathSciNet knew, in 2021, of 97 references to their work; s... | i | 290972b3108d82d18d5642cede56dc3b |
The ratio of the pPb relative to the pp distributions increases
with pseudorapidity from the p-going to the Pb-going direction for
central collisions, suggesting a scaling of the pp distribution with
the increasing number of participants as the lead nucleus is probed by
the incident proton, indicative of independent pr... | r | 219a2bf9d216215b2f77704b2884c63c |
The wide distribution of EM values (see Figures 4, 6, and 9) between fields points towards the warm component being clumpy in distribution. The hot component also exhibits this wide range of EM, and thus is similarly clumpy. This supports the interpretation of {{cite:ddbf8e427af559d47b8d50760e4dec47d2b89539}} that the ... | d | ced6aaf405a137203d2f13863561cf88 |
In this section, we first apply the approach described in Sec. REF , i.e., MAP, to predict riser displacements in uniform and sheared flows. In particular, we conduct a comparison between the present method and the state-of-art multi-fidelity approach, MF-DNNs {{cite:9aeb1e5f92d4bc91a988b93d5708c7faab627b12}}, which is... | r | 698017efec1fa57693f207134135740b |
We study the collisional regime in Section . There we apply the Mott-Smith ansatz using the BGK collision term {{cite:74f34b20f3c4fd52351304e5e1f9ccbe46b9e49a}} as a collision operator for {{formula:350a6ab9-37db-45d7-87b3-1e10037b1801}} in Eq. (REF ), with {{formula:32794707-20ba-480a-a77b-34de9e04dfd8}} . Notably, ... | m | 31f8e79d361d2e2baa55a350c8ebc751 |
To stabilize training, the natural policy gradient method {{cite:ea11b3832a3211e7750d680d4b50a9b262edb9ce}} restricts how much the policy can change across training iterations by adding a Kullback–Leibler divergence constraint ({{formula:526f8bb6-c9ae-46a1-8371-689b9d43da6f}} ) between policy iterations:
{{formula:bf19... | m | e18cfb3c2669022b92bf97ffd82e5822 |
Diversity-aware Queue.
The number of negative samples is critical in contrastive learning. Short queue leads to inhibiting convergence {{cite:032419f54f2a6d0f3ea6b46305782e7a3d08b4a9}}, while long queue suffers from redundancy and inappropriate negative samples. Empirically, length of the queue is related to the size o... | m | c593b635091bd725cfcb4c6c323deb62 |
For CIFAR10, to fairly compare with {{cite:b7b89d5027d592300e9d3cd00752a522b7bd0545}}, we crop each image into two views to construct the loss (REF ). For ImageNet, we follow CLSA {{cite:e2ab45883028a6e09f36588eaa50d55a5bc9a1c9}} and train SANE in two settings. SANE-Single uses a single crop in momentum mixup loss {{fo... | r | 36ea9ffb63f4904755288c232fc87fe8 |
It can be easily seen that Eqn.(REF ) is a special case of Euler’s method when the step size {{formula:4f46b7cc-168d-448a-bc14-0f41e91f8c84}} . The iterative updates of ResNet can be seen as an Euler discretization of a continuous transformation {{cite:84212ac81b27ad61d77c54dea1a89c5f11012360}}, {{cite:e9d708bf3b7ad2b7... | m | cf6036e7320f0387e4c69572130448e4 |
BFT-SMaRt {{cite:679311a1fed49b8e9c92b1c49ad655adf534b659}}, {{cite:a23def029389743dfd6e4b954e9b21345b80e8f2}} built on the ideas
of {{cite:f58958ab8c000fd2484f43df806297051c704bbf}} to propose an abstraction of validated and provable
(VP) consensus, which allows its clients to control leader changes.
Although the over... | d | d1e77bb82109ed49c7bc6027bb649755 |
The other parameters are the gravitational constant {{formula:767f66ae-59c2-4994-b962-19ba527c7300}} , moment of inertia {{formula:52c712fa-a99d-4900-ae8a-4b9fb34bcadc}} , speed of light {{formula:c2a218ce-3632-4b82-899d-d94ea9bc9d57}} and angular velocity {{formula:efd847e7-4e9d-4cba-88d9-97dc34067003}} .
Similarly, ... | m | fe8296dd9f7cd477e5c535d3658aeb5c |
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