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The {{formula:16a89007-266b-4a5e-b300-07fe0d6eed6d}} gravity is a modified gravitational theory in which the standard Einstein-Hilbert action is replaced by an arbitrary function of the Ricci scalar {{cite:e4f805495d6472b76ba78d83a30903be8e8810d9}}, {{cite:674ad41aece911f6726f0c4ae79d65bae9ffb45d}}. These theories hav... | i | 1002a42ddf5b6d294c01066f29940fbe |
Beyond graph representations,
Ogay and Kim {{cite:d95c2263d0baa4562272f0d56a3c74e853a9cd3d}} proposed to represent a motion planning algorithm as a random process that is controlled by a heuristic as a distribution of random variables.
A machine learning method then learns to relate the obstacle distribution and the he... | m | d6775610a452dbfc9f87ff151d5aced6 |
In the Standard Model, in terms of CKM matrix elements, {{formula:aa3ee7dc-a760-4d71-bb3f-2450cc2b2b73}} The equations below are written assuming that there is only one decay amplitude, ignoring possible small contributions from other diagrams {{cite:6e8ac9e38e5222cf54d5b7ea2842f10b29177d53}}, .
The decay time evoluti... | i | 35ffe85683c332cdc60edd43f8dc5330 |
Our model also computes an artificial label for each pair of strong and weak augmented unlabeled samples (i.e. pseudo-labeling {{cite:75379598979df2a8f2b6a965678a4375d4c866d6}}, {{cite:099199450c4443a7a0e9d09f2c013dbb3c1d1917}}, {{cite:690a63dc7545be8c42c4467329ab66f1aa598264}}). This label can be obtained by computing... | m | 4aed64aa83964e4cdabd206dfd496bce |
To make progress in positive characteristic, where the landscape is distinctively more complex,
it is best to adopt a more restrictive definition (see Remark REF for a comparison).
Graded Lie algebras of maximal class {{formula:29c6ba54-ce90-4083-8520-faa047f704e2}} which are generated by {{formula:16817375-9702-4a6e... | i | 281934e7f2577be9cc3ae8e7df710996 |
In the following, we should discuss the mass spectrum of vector bottomonia.
As listed in PDG {{cite:63bd7775363ad9539b8c5982fd0b2830e45c2c5f}}, there were
{{formula:88af7ad0-7820-492d-903f-dc723957ae79}} , {{formula:f9d520e4-d7de-4d89-87e6-e9b2270e5007}} , {{formula:cfeeda0f-7e8a-4361-85f6-3a432f4e9ede}} , {{formula:ef... | d | 6aa91030d62b3cb5fb594d18518f1356 |
In the jet distance range from 0.2 mas to 1 mas the component position angles (PA) listed in Tab. REF are in agreement with {{cite:f62e0a909a685856e783a3bcaeeb2ef09f71565c}} within the errors. For example, the PA of component J6 is {{formula:f4ce0b44-676b-4f1c-a31a-121d88bad951}} in the model while here we find {{for... | d | 02bd052a79770778699dd27388640bbe |
where {{formula:0f5a777d-c16f-407b-b5bd-a3c0ca13960f}} is the location of the maximum of the RW potential (REF ), {{formula:a0353699-d4e0-4b52-a807-baa854f55ca4}} . {{formula:c7596771-c18f-4edf-b5d2-75df967956bc}} are the WKB correction terms and {{formula:cdba95c2-ecdb-40da-9c4f-85c1fad8f818}} is the order. The cor... | m | 7faf7df23cb49fedfd82929373632f1a |
We also simultaneously fit {{formula:2e93d972-4c3c-41f7-8413-ce1291556ad0}} to the nonprompt {{formula:d39595cb-82fc-4b80-8c3d-a7b1719e6082}} data
from ATLAS {{cite:a9dd958c45079049e443ce2e6397d113b67d0c82}} and CMS {{cite:ed4cefb2b61e5f1e8bd88ce11fec07e57f1a2b8b}}.
This is possibly problematic because the experiment... | r | b1e55230a2970a7a98c38fda559545d3 |
These considerations pose the problem of the degree to which EoS constraints are driven by the data, rather than by correlations between different densities imposed by the EoS model. Under that light, it is interesting to consider the effect of folding nuclear calculations into the inference of the EoS.
Figure REF sho... | d | a77255941cd1f41efe3dde2465ccbb62 |
It is interesting to know how far an approach such as this can be taken. It is possible that different state spaces could lead to classical simulation algorithms for other quantum inputs. If we are interested in simulating quantum systems, then we do not directly care about simulating systems with non-physical cylindri... | d | 16ddd65303b6dab5b2085bbbf04b93ec |
INCV {{cite:a8156e9cf50e75201a6994484ebe25512c00cac5}} iteratively filter out noisy examples by using cross-validation.
| m | d5c808c81926d10ad658fab26a01998c |
Societal impacts. Image segmentation has several applications, including autonomous driving {{cite:14cd314dbda52f6ccb7fd9ef2fdae9424b086733}}, medical image analysis {{cite:fdecb747c4e728a5b874def3f61420cb5ea712c3}}, and video surveillance {{cite:1c89f9a7634c60dfbda53c56d45aa1b7d89d54a2}}. Although we have not focused ... | d | 19d0e14a8d823dae3f38bffd6e0cd363 |
Magnetic resonance (MR) imaging is rapidly becoming the dominant technique for image-guided adaptive radiotherapy because it offers better soft tissue contrast than computed tomography (CT), while avoiding radiation exposure. However, due to the physical nature of the MR imaging procedure, the scanning time can take up... | i | d250a994346972640ff46f9e8ee7e8a9 |
AIB is compared with VIB {{cite:4695b3e6061a77e49dfb9727be1f576a24016f83}} and NIB {{cite:34f29ddabede43a78e13b49a6bd057c3a018b828}} on a synthetic dataset {{cite:b443ff04fc05dbc315f54235be06a89beca616b0}} and two common classification datasets MNIST {{cite:aaafec02e8e9b0a9bdf082a9d6b257ad8283acb4}} and FashionMNIST {{... | r | 37c6bc9ecfa4d0e9fd18a57ddfc18264 |
The models are trained with Adam optimizer {{cite:cfccf969bbe38ad0b861d18b35cf4b02af582463}} and teacher forcing.
We use linear warm-up to increase the learning rate from 0 to {{formula:a1cb72ca-9993-4584-b7b9-11d77ce14ac2}} in the first 200 steps, followed by a 200,000-step cosine decay down to {{formula:d405560e-523... | m | 6a1b2d0ad4bde360a9cf51670cb1ae58 |
In Table REF , we compare the performance of our best method after distillation with transfer learning, semi-supervised learning {{cite:ec36c2034efaad60d983fe2dd2462a295f2da092}} and DatasetGAN baselines. The transfer learning baseline was initialized with pre-trained weights on semantic segmentation of MS-COCO {{cite... | m | 80a780bcda30a59c637e9e6998d4ac63 |
We have only considered gauged supergravity with {{formula:d0abbb5a-9d97-418c-870e-44cb5870f5b8}} gauge group electrically embedded in the global {{formula:da78af20-a6b1-4e33-8318-5b549e3f8852}} symmetry. It would be interesting to study magnetic and dyonic gaugings involving also magnetic gauge fields. In particular... | d | 246603f220f8133b66db338f0ded93c2 |
Second, the proposed sequences constitute a partial unitary matrix with a column mask
through arbitrary row selection,
whereas the ZC sequences of prime length form a deterministic matrix with low coherence.
While the coherence-based recovery guarantee of the deterministic matrix
is limited by its theoretical bottlenec... | d | 24628be702363293cbc5acadb16e6589 |
This proof can be extended to the case of the arbitrary {{formula:7514682e-1b7d-4cf2-b742-1ee61a72cf3d}} , too. Then, the most appropriate way is to show that there is a correct limit of {{formula:59e9d87d-37c1-487f-bc5b-9199c606e53f}} defined via (REF ). Application of the following known limit relation between the L... | d | 5b6ea17971d3f1fdc022979a2e9cd84e |
In some scenarios, an intelligent attacker may attempt to launch an adversarial attacks to fool forensic algorithms {{cite:a0ac543428adaac59158e6ceee3808b023a5f82a}}, {{cite:4329ea9d72b5c72f3e7007a6992fa4b91430f328}}, {{cite:24e41eecc791c9db927e478dd3b853d7d846ef4a}}, {{cite:c8753d556b7a2565cb1eb54cb36091ad942e856c}}, ... | i | de04a9e6ce685d8fb85f988f781a06c5 |
For lane lines detection, the method was tested on KITTI {{cite:03d82607ad779809ed9cc0a731bd01131b4a909b}} and Cityscapes {{cite:02761ff642722c4db060a91863e59b32ae0395ae}}. For general traffic lines detection, The proposed method was tested on the Berkeley deep drive (BDD 100k) {{cite:d670a925c6fd4be961005ebce34f7811cf... | r | a1434d243d2b6f85b5759b4338e70f47 |
We compare our method with an extensive list of recent works on efficient video recognition: AR-Net {{cite:478ea0bf01eb8f6921cdf6865d8f29e117f80abe}}, AdaFrame {{cite:a7c6777d09ba031ad40524219dfb674d957024f2}}, LiteEval {{cite:f16eed5d5217a5f20273b481e0de5484a4947d80}}, SCSampler {{cite:8cf426dee003122bc42f447db1f4e62e... | r | 17324edf8bb2b954c3c2a29eb7f06b42 |
We have seen how PermaKey, by focusing on local predictability, is able to reliably discover salient object keypoints while being more robust to certain distractors compared to Transporter {{cite:eebbf862c0880bd4262809e661cffdae7fe1621e}}.
However, it should be noted that PermaKey can only account for a “bottom-up” not... | d | 6dfa51e0da10a6401315552c892bc994 |
In this section, we aim to improve the data efficiency of existing detection transformers, while making minimum modifications to their original designs. Firstly, we provide a brief revisiting of the existing detection transformers. Subsequently, based on the experiments and analysis in the previous section, we make min... | m | 3a913d9095b7f9d4128d5cf2bd59773a |
Because of its random-walk nature, the local dynamics of Gibbs sampling suffers long auto-correlation times when equally likely states are separated by an extensive number of variables flips. As a consequence of long mixing times between such states, statistics become heavily biased. In the initial phase of DBM trainin... | d | df3671988652772c889092be572ae382 |
The P-N junction is one of the fundamental building blocks for modern electronics. With recent discoveries of atomically thin materials, layer-by-layer stacking (vertically stacked) or lateral interfacing (in-plane interconnected) heterojunction has been reported, {{cite:a8dbc7ba31a7c6bb775878d9446f6f5b3a19483e}}, {{ci... | r | c90c6ae8bab4815decbc73cbf4ba2ec4 |
The likelihood analysis for each data set and cosmological model is done using the MCMC method as implemented in the MontePython code {{cite:72e1acf8544bfa6a16753393047715ddb3df0b6d}}. Convergence of the MCMC chains for each parameter is determined with the Gelman-Rubin criterion {{formula:6a394905-c254-4038-8a1f-1067c... | m | 63c79c79e237d22ef40394e1f8eb720c |
Most of the previous studies on the design of phase shifts in the RIS focus on the sub-6 GHz or narrow band systems {{cite:e94943040286388556c36b5b44503914e615cc69}}, {{cite:3c283425dec6003415243918e67d3e2f292dc068}}, {{cite:c9c7b4c460a2d50d965152daec9888dc78a16988}}, {{cite:550a15baa071df34beffb8bf3aa50a7fab9414a4}}. ... | i | aaaad2f4aefa1497d13b3d4be004fb88 |
In the standard LBM for fluid flows, the evolution equation reads {{cite:48eab936cdd4a381ac42ad70f351318939c9ee2f}}
{{formula:de593b01-c83a-4a95-aedd-a462ae3c92dc}}
| m | 1832c221d72687ae5c1598cabb574bd5 |
with {{formula:3b0d838f-35d7-48ad-936d-5a0d171985a6}} the weight function, and {{formula:c0ecd94e-8408-4668-968f-513a9b95b495}} the quadrature weights. The error is given by {{formula:6985d13a-7f5e-4830-8d03-5abad183951f}} , for {{formula:514054cf-758e-41b7-a112-88d655d0519a}} , and the pair {{formula:469ad3b0-4c89-4... | m | 7bac7227ce709d69e9a63a94ba3a1e5d |
Recent studies on graph neural networks (GNN) bring a new structure for model learning. By viewing particles of the object as the graph vertices, the dynamics is modeled as the interaction between the vertices pairs {{cite:1a7281d3917ad945d83acfbdc2797c560043fc38}}. The future object state can be predicted through a se... | i | 1167c5b6d1313e5880a923e217109bdb |
Filtering methods update their belief based on the past state and current observations of visual and inertial modalities {{cite:836accb4849c36eeeedacccf51442cad5b34fed0}}, {{cite:a2c30dba3bc254dd3d4336f72ea4e29a3d0edb8a}}, {{cite:33d1a551b4a923667b28c96c6d1c09904972a500}}, {{cite:fc94172688b9c481362c65d3119d262b6833b2b... | d | 01b68d57eebb9691df3cff61362bc468 |
[leftmargin=*]
Additive white noise perturbations are constructed as {{formula:6fdbbb54-7d3b-4d4d-ac87-5e706f5a6159}} , where the additive noise is drawn from a Gaussian distribution {{formula:3e30bd1d-4df7-4850-ba0b-ced9603db692}} . This perturbation strategy emulates measurement errors that can result from data acqui... | r | ac10f02e7cbf4b850524bbcf93186230 |
In this work, we employ the Wide Activation Super-Resolution (WDSR) model {{cite:d8a03188ed7a777a09f78b7a49531a44895230af}} as a building block to investigate architectures for joint denoising and super-resolution.
| m | b4d6945a5b84aa17fea69a1c89ad90a9 |
Recent years have witnessed rapid development in self-supervised learning and it has achieved success in both computer vision {{cite:3b0611af13e6fde2da154fd0534ad38e2481e9cb}}, {{cite:08511c5fdde133a596f7f4eccbeb14034ff88162}}, {{cite:ebe64fbf83cf7ec24b07152d8a02a3f154d0a231}}, {{cite:1bde711a6504c79dee3169acdf894710a6... | i | d74a1623af3731769d833c8bed7a870f |
In this subsection, we perform a variety of experiments to validate the effectiveness of SRKOCL in continual learning scenario. In the first set of experiments, we compare the performance of our SRKOCL algorithm to the state-of-the-art approaches on different benchmark datasets in continual learning literatures via thr... | r | 660e4709341aab71dafd84db54e4f163 |
As a good theory should explain as many observations as possible with the fewest possible assumptions, it is logical that SAMs should try and extend the lesson from cool-core clusters to lower masses.
In this case, however, Occam's razor does not cut it. {{cite:28cb30d22cd4296e4b9c715032a6b21560fbc4a5}} and we have sho... | d | 94abf57ed6282f043d0c2ed84ab730f6 |
Since the birth of theory of stability, which was first proposed by Ulam {{cite:e1301c6692cf9af8d2ae53eee0d5555c1c7fde4f}} in the form of a question and after the first answer due to Hyers {{cite:562b0411792ffcece148e2afc62b6bfc4f345172}}, many results have been obtained for many functional equations in different space... | i | 12119aa176f5398f369be199f9ecca21 |
One of the reasons for using nonlocal scoring rules is to address particular problems where a local scoring rule is not considered “suitable". For example, Ignorance is infinity if the forecast assigns vanishing probability to an event that obtains. {{cite:cf84341b06dd2de4c9c9c1bcf0cf732c2a4a1388}} emphasizes that the ... | d | 6a94360f99bd23f839678d3cb23f82e3 |
In this paper, extending the construction of {{cite:21edeacff241113caed8b97e0a61b8b335add983}}, we gave a formulation of the classical double copy with a generic, curved background spacetime. Apart from obtaining solutions of Maxwell's theory defined on curved backgrounds, our formulation makes the effect of the backgr... | d | 9d2c3cfdbc198db984f9c885dae45af6 |
From this holographic argument one may wonder if the two boundary theories: (i) a CFT coupled to a gravity and (ii) a BCFT, are equivalent as depicted in Figure REF . The purpose of this paper is to argue that this is indeed the case by presenting evidences of the equivalence by focusing on two dimensional (2d) CFTs {{... | i | 361f6bde38e5412beb2e4e22e839f9d8 |
In Table REF and REF , we present evaluation results for zero-shot adaptation performance on unseen speakers.
In short, Grad-StyleSpeech outperforms other baselines.
Notably, our model outperforms the modified version of Grad-TTS {{cite:2a6acf2fc9a796fd3feed94dca7477d9b06f61c5}}, showing that such any-speaker adaption... | r | f79053a734561b9dddf66524039d922e |
Machine learning methods primarily address prediction or classification problems, and have been included in statistical textbooks {{cite:22bd60cc65feeae217703160015a1f5d41e2fa62}}, {{cite:15747c19ded59073cb2f00393c6cef5175c2c27c}}, {{cite:573dc3f389ced43d874a33a0b1ab8af7f6d0bf8b}}. On a high level, there are two broad ... | m | 692842789518ab73b929fd2a6cd64aee |
In this paper, we compared several readily-available methods for assessing HTE in CRTs using a neutral simulation study design and then used a completed CRT where we imposed selected missing data patterns to compare their performance using real data. The key findings of our work are as follows. First, MMI and B-MMI had... | d | 27f41a341c268f171dab296b868d46e4 |
Other FL Algorithms.
Many FL algorithms have been proposed to tackle the limitations of FedAvg. We plan to extend FedTuning to the following scenarios. (1) Participant selection. Compared to the random selection of participants, guided participant selection that considers clients' data utility and device utility can im... | d | 4a38d81d7707881fcba0afcf0da8bb9b |
Learning strong and discriminative representations is important for diverse applications such as face analysis, medical imaging, and several other computer vision and natural language processing (NLP) tasks.
While considerable progress has been made using deep neural networks, learning a representation often requires a... | i | 6f35af0dc6c30ecf42a2b05e1df757c2 |
In the image classification task, DCNNs learn to generate the predicted distribution of image class by extracting the features of an input image{{cite:d567a2ea634ed296e940481729145a0826384c25}}. The learning objective is to minimize the difference between the class distribution predicted by DCNNs and true data-generati... | m | 66267b7556f08a8bb15c12ff45b9c1c0 |
Training artificial intelligence using curriculum approaches, from easy to hard, can lead to improved results in a wide range of tasks {{cite:eca19f707ffbfc1aa405fd6c9f9369cdad18f0cc}}, {{cite:52771194d5fe3dd6832837ceb415af31c079e7f1}}, {{cite:0fea3d71ba52434a80cbbeaf1d01122a03a3053c}}, {{cite:61b0f6dc4bd2bcb9247e2a35e... | m | 63a037014ef3e009cbd98c5181c3bb3d |
Over the last two decades, quantum physics has experienced its second revolution giving rise to new quantum technologies. Thanks to quantum control, matter can be manipulated at the single particle level by exploiting quantum resources such as entanglement, superposition or squeezing of states in various platform regis... | i | 43846659419038935794b61d7667b49e |
Moreover, quantum algorithms can be utilized for cryptography, search and optimization, simulation of quantum systems, and solving large systems of linear equations {{cite:4724f669e02451a885721f96cc1dd791ec3de624}}, {{cite:772e07cf5930e4bad416554138489202eae44503}}, {{cite:570abdb14d94abd3cec15b0f7520926cb7455f98}}, {{... | i | 454fe6ac231fa44ffd343a8eb56b44a0 |
The core of DCM approach is that
the test statistic
{{formula:3c9028f5-73fe-469b-862c-cffeadf83b60}} in Eqs. REF and REF
refers indirectly to
the reduced Chi-square
{{cite:7c38df2f63919c36ab459ed386557d9ed2c5254d}}, {{cite:68b91dd502307888c9dd385a2131f18d22e2f2c8}}.
Our DCM computer code
dcm.py minimizes {{formula... | m | e6c600028b6e7fc88a129c2d941624fe |
In a hard freeze forecasting context, a proportional hazard model can be applied to build a joint model for all study locations using explanatory variables like longitude, latitude and elevation. From the parametric relationship, predictions for any location can be derived. If we want to take the model a step further, ... | d | cbdcd07310f49582c4dd649a8418064a |
To test the generalization capability of the proposed approach, we perform training on Dataset 1 and test on Dataset 3. The F1-score drops down dramatically to 33.05%. In order to understand this finding, we visualize each dataset using PCA (Figure REF ). It depicts that, although Dataset 1 is mostly linearly separable... | d | 489b7c0af72ef6a42ff5616a43d1ca1e |
2.3 Complete intersection and Gorenstein dimensions. The notion of Gorenstein dimension was initially introduced by Auslander {{cite:71efe4558951e80c88f109259d81ade7376f2ed2}} and subsequently developed by Auslander and Bridger in {{cite:57e8cb9db08548f16ba68d11f9731fca4c0e6fe9}}.
| r | 3b8cfc75651e426eb8ba08aea1bbc65b |
Limitations: Despite the promising performance and an applicable trade-off nature, the time cost at reverse diffusion process could be expensive due to multiple steps (100 steps in our experiments). When evaluated with 512 trajectories on the ZARA1 dataset, Trajectron++ needs {{formula:94d1e046-fd31-49f7-8a0f-cbc8e5db2... | d | 4709a77886d7a2219b4c00e1ae13930c |
Contrastive Loss {{cite:9dc56f1435a2dd6f01510ddb25e85b823ebf0706}}. It construct positive and negative pairs to learn joint embedding. A set {{formula:f9b99761-2b9b-4293-b757-e2b8e2fd1aeb}} is formulated comprising of training pairs {{formula:e31f05b3-fc62-4bcd-a026-312eb041ff9b}} using d-dimensional face ({{formula:... | m | b12dc0035dfa201381edc72d85eb5c58 |
At about 50 years ago, vacuum pair production has been investigated in many original works {{cite:ebf0b9e327a7fc197586d9f8e7be9b3e852092f4}}, {{cite:bcb59392b2c5e3faa8e9d454763c63426473d1f1}}, {{cite:03763685f8b5f46024f39bdf035557b52dafa8b2}}, {{cite:856c99978107c65d69a0c045b61caf78b7774344}}, {{cite:88976ec6b2786c3abf... | i | f7ee3a8640ee61959a5df2a38623b2c0 |
The computation and evaluation of magnetic trap properties are based on current density. The technique used in this paper is Galerkin method {{cite:d60b5f145c50163963aa4b345eefefed7f2ee4ce}} or MoM {{cite:332496b4dc1c9b30e1689dd6f1d52a665ea925cb}}, {{cite:cc94ad978731c099b9fa1accd1053b3b30860ca9}}, see Appendix . This ... | r | 10272ff6dd6db04e7bd23efb5b18eefb |
A conceptual feature we wish to convey through our work is that the one-loop method used in our of calculation of critical exponents in § is possibly more convenient than using Feynman diagrammatics to do the same, as performed for {{formula:d5edebd9-34df-4abc-ba4d-bda2f004382a}} in {{cite:83644d2f64ffa4c0617d1c220efa... | d | ec9d7058332035a63a72e0c44c212737 |
Intriguingly, the recently published works {{cite:1acd7fddbc9f2ad5e612a184fb8894afe757d593}}, {{cite:121426629c23b5f49e03efc2839673df5fcfe768}} have
revealed the physically important fact that charged black-hole
spacetimes with regular event horizons can support massless scalar
field configurations which are non-minima... | d | d716dc6672ea1df05b0acb82832f117b |
However, a systematic method to construct a generalized hedgehog ansatz
which is not spherically symmetric but keep all the other nice properties of
the usual hedgehog ansatz alive has been developed in {{cite:d9cfb0d5073a2ad70623c4842bce65f659ac7141}}, {{cite:e57706b00cfef55795de3a6d048872982ddea3f3}}, {{cite:6c422e71... | i | 957ad647dc21d30d3e0a899206a979dc |
The first two initial centroids certainly are far away from each other. We can find the two farthest samples by calculating distance from all samples to all samples. Unfortunately, this is a very time consuming process. However, we can reduce this computation if we consider only the outer samples of the dataset because... | m | 30ac076825310ef43c5bcc93ac0921c6 |
Further, we experimented with combining language-independent and language-agnostic models. In the context of this paper, we incorporated a simplistic combination - if either of the combined models predicts a conversational turning point we consider this as a positive signal.
Analysing the results, we observe that incor... | r | dbf735ab439d84cddb29afe6e787037e |
Related works.
Several works have focused on extensions of Atl{{formula:56a680b6-0362-41f6-a012-81bdb3f8f343}} to incorporate more
powerful strategic constructs.
Among them, we recall Alternating-Time {{formula:a9a55288-8af3-4083-82bc-8eb4494f8e01}} Calculus (A{{formula:b0b3da45-0d57-4bda-bd0d-f1f97062514c}} Calculus, ... | i | e7f29942bc908c49cd0f7e3e250a636f |
As indicated, we must still remain open to the possibility that the {{formula:cd5aee35-8abf-4ce4-aa1d-dd312e5c607b}} and/or {{formula:6a2bb14c-3355-416d-b53c-49d0d4b4df58}} measurements are affected by some kind of (unknown) systematic errors, although some of these possibilities may be on the way of being ruled out ... | d | 14f8e91fc14e574d85678f06124a8889 |
The reconstructed image is the minimizer {{formula:c50b4718-03c8-4406-8b96-eb5e7405a788}} of the variational model (REF ) with this data-fitting term, where {{formula:549319bf-551b-4276-972b-f502be64abdc}} is the observed image.
There are plenty of approaches for denoising problems involving Poisson noise. For instan... | i | 19bfa314095a2ce1584a4804a661c8f5 |
Though GNNs have achieved great success, they are usually data-hungry, which requires a big amount of labeled data (i.e., molecules whose properties are known) for training {{cite:c4527fa80bf893249c35a1d99ae06fccd5d97cde}}. However, the labeled molecules usually take an extreme small portion in the whole chemical space... | i | 4026008ad69c0966ca2dfe9ed4bf0e10 |
Actually a natural configuration of the B-LSSM includes another relatively
light {{formula:dee8f00c-9975-43e7-ac3e-4451bfdde451}} -even Higgs {{formula:a7ec38e2-d662-44d1-9080-1206b3b1ba6f}} , with mass {{formula:dcc95eb3-6db0-4550-a629-66644b1ca7b7}} besides the lightest
Higgs state with mass around {{formula:9408770... | r | 6c09776449695dd30ad62513c52a8aaf |
Another practical advantage of our solution is that allows for efficient experimentation on reward shaping.
During the development of an agent, the designer can define a shaped reward such that the goals in the environment are more easily satisfied.
However, reward shaping, is a trial-and-error iterative process {{cite... | d | ea86dc44d055dd5c9321477a2a3d1a7c |
It may be noted that, as in {{cite:6c6cf1ceb8ef3b1dd04714f420a5701816fd8a4c}}, we first represent collision as a cascaded process in which the effect of collision
on lower order central moments successively influence those at higher orders in a cascaded manner. That is, in general,
{{formula:d974a8a7-8cc1-482f-b8f5-9dc... | m | aa4932a35c4cbe475f8e7731638c75d9 |
HODMD is an extension of the well known technique, in the field of fluid dynamics, dynamic mode decomposition (DMD) {{cite:c0515f90f822d504e5a82f1eb39e0f9100e78286}}, generally used for the analysis of complex data modeling non-linear dynamical systems, solving different applications (e.g, {{cite:3cda4fe692854cfd454c37... | m | 24c7d2af1280437fa708be93dc83783e |
In this section, we show the result of proposed OOD detector with subset scanning and ODIN as detailed in Section . We first compare our result of OOD detection to Softmax Score {{cite:57fdd4200fe5789b74d42d7e531fddb94e603cab}} and ODIN {{cite:1137675615727e47ff17718bc18d9e4c9330e533}} in Tables REF for OOD samples wi... | r | 442cb4c2f74dc771d9b549719f6b6579 |
Inducing and imposing hierarchical tree-like inductive biases in sequential models has garnered increasingly significant attention {{cite:a3cd5be2ef459d6cac2f6a10e344db1090b67e10}}, {{cite:a8f34dccaf67d9890092ebf22026d6c452aa4a04}}, {{cite:ecc887db587e9bc2f1ae7dbdfa16e7529ac3d799}}, {{cite:fc004ee2188b954af8ee6afb8fc63... | i | 34ed0cc2e812538d71690960d70eb835 |
While the results discussed in this paper may have deepened our understanding of quantum computers and their limits, they have not explicitly resulted in any practical applications in the same way that studying Boxworld type correlations led to the development of device-independent cryptography {{cite:9f3e56f8555a57fce... | d | 1b69c09b0dbcb70d5bfcf8634658b978 |
The second benchmarking study is then performed on a large cardinality dataset describing an intrusion detection task. This dataset is the union of the normal and botnet data from the CTU-13 dataset {{cite:2c6649bbb7d6da3d5e0e4d8ec4e9a75bf3924521}}, resulting in hundreds of thousands of data records (Table REF ). In th... | m | 39b8d11a464bc620d250be9ce80a49a2 |
We concentrate on the critical {{formula:dc634e7b-bc0a-429f-9dd4-a8b79e4ef59f}} model, arguably one of the most well-understood CFTs in {{formula:49bad3b9-0554-49a7-8edd-0437b9a2b487}} , which also has extensive experimental applications {{cite:9e9b887abdb63225d5b12e313bdfbf0b8fdc94ff}}.
In particular, we turn on a ba... | i | c6fb268a78cd0b1d800363b9cc2778ab |
Although considerable advantages of ISAC have been predicted, deep integration of sensing and communications still requires further investigation. SLAM can provide locations of user equipment (UE) and radio features in the propagation environment. These results help design sensing-aided communication strategies. Theref... | i | a17550788a20c2b5bc5299a4ae5ace87 |
AGILE contributed in a significant way to the multifrequency
follow-up observations of the exceptional event GW170817 (MMA17).
Despite the Earth occultation of the LR at {{formula:6c52b8e2-6967-4ff7-a258-22e00c477259}} , AGILE obtained
very relevant X-ray and gamma-ray constraints on GW170817. As reported
in {{cite:175... | d | 7150bcf18836035e773ba93d162f645e |
The local monotonicity of set-valued mappings is naturally defined as follows; see, e.g., {{cite:b647e02a3e5f8041d11b00cd6684806c55c05392}}.
| d | 206c08e468dad9a7ed114c9262f76ee6 |
where {{formula:4fc82e1b-90a1-4630-95ac-27f28eb7ff35}} denotes the Riemann zeta function and {{formula:48c98d53-9d22-4c04-b9bb-6287fde2bf90}} .
This article concerns the behaviour of (REF ) in the case {{formula:fc74f665-93fb-4b57-bf16-5e90f7ae5e9c}} .
Hardy and Littlewood initiated the study of the moments (REF ). Th... | i | c80053cc0d83a8e5cc122640b0aa2fd9 |
Ablation study. We perform an ablation study to understand the impact of different components of PONI. There are three key components that contribute to our performance: the object potential function ({{formula:8f80bcff-4fd5-4792-a8ef-b3b9849fd329}} ), the area potential function ({{formula:ac88f7de-196f-481b-b611-a34e... | r | a18adfdc4b5ecb7fa61e4af94a357c12 |
We recall that if {{formula:9a4fb78c-5a6d-46dc-8d6f-53e310bbdd82}} is a very smooth point, then the unique functional {{formula:b5afacd9-9f01-44dc-b060-e4f45269a7c9}} has the property that in {{formula:c4ff404c-859a-4a25-9784-84a9056b2547}} , it is also the unique norm preserving extension of {{formula:a75fcf16-a15d-... | r | bc02591681c621684cbf2afe21bae925 |
Recent experiments on gate control of the supercurrent in metallic Josephson junctions {{cite:392eb346f7c2c13bab2f00807c757ea866363ab4}}, {{cite:ab1f7c90715208e43251a371c7bf15710dcde651}}, {{cite:341557d8277482eeb592fc71379d9035bdabe551}}, {{cite:502fcfc5785a90045e90de7954f78ea0226fb22b}}, {{cite:5b1b1bfb7b256b164b0b10... | i | b326cfad9f602c7a6548eafec5581e9f |
If {{formula:650fe78c-db97-42d4-9f88-ced02a917bb7}} is twice continuously differentiable in the classical sense, then {{formula:35cbf88a-fe2b-431d-bd6a-52ebe38692d6}} has gradient {{formula:9dbf7ceb-2353-44b2-9957-0ba5f5c005b9}} and Hessian {{formula:d4f25b93-fd41-4df2-a13c-1b125b4ced6c}} . We recall that if {{formu... | i | 5942f85468c64e1785fd1b35c9ef61e5 |
Finally, we compare the WOT-SRSH approach with many-body perturbation theory in the GW approximation, where the self-energy operator is approximated by G, the single-particle Green’s function, and W, the screened Coulomb interaction {{cite:1c00a5c5297ee2afc24e32311f8083c40c624ea2}}, {{cite:519f39cb538afb732d7d59873a401... | r | 2608de612f0001f66863d3f9097a75ac |
In the context of the NLS, Gibbs measures (REF )–(REF ) were relevant to study a substitute for a conservation law at low regularity. Namely, one can show that they are invariant under the flow and that they are supported on Sobolev spaces of low regularity. Consequently, it is possible to construct global solutions fo... | r | 248631d13e6b998eb730706b60d15497 |
On the other hand, multi-agent reinforcement learning (MARL) has also been explored for autonomous driving tasks {{cite:4b559fbcb6921e2f383011a2006ab92471eb4dff}}, {{cite:48c47eff0766265d0b110a3b525d411d674cfa12}}, {{cite:7d444ae23a17e6a1c819f0fa78478daa2f2640d3}}, {{cite:13b7172ede27e20eb3489c984718faca9a8636fe}}. In ... | m | 9c287886a4b6ce31741cbfed3ee421d9 |
BayLIME is a Bayesian modification of LIME that provides a principled mechanism to combine useful knowledge (e.g., from other diverse XAI methods, embedded human knowledge in the training of the AI/ML model under explanation or simply previous explanations of similar instances), which is a clear trend in AI {{cite:dffd... | d | b18bb683af74525db7e710b82faeaf18 |
Each agent in each scenario has a different mission to complete: driving from a specific start to a specific goal. Traffic consists of the agents in training as well as the background traffic provided by SUMO {{cite:63dd32d9bb884af8fc2467ecc265b96987576d1b}}. The chosen baselines include two independent learning algori... | r | 146f549251fcd8fddd39b6926dfb4111 |
Utilizing humanoid characters in a physics simulator to optimize motions is a promising solution because the physics simulator can guarantee the physical plausibility of the generated motions. Prior works {{cite:f46aaf7f3108242ecbf19b8e8da7b33821687af8}}, {{cite:8e7c5ad265c2ca8ca502380264e751d6fd04b32f}}, {{cite:ee39c7... | i | 1ea07c5b6f82dc85fded36ccef5d7992 |
Once the network is formed, we change the interaction potential, making the bonds permanent and thus fixing the topology of the network. Since we are interested in understanding the roles that topology and chain size distribution of a polymer network play in determining its elasticity, we consider interactions only bet... | m | 83cf3ee55a45a86d842f1af8455309e1 |
As shown in Figure REF , we develop a new deep network architecture for automatic portrait video matting. It recurrently estimates the alpha maps and foreground images. Our network can be distilled into four parts: (1) feature extraction, (2) optical flow estimation, (3) context-motion updating operator, and (4) upsamp... | m | 2e6fdf2f576fc74da640714395856386 |
We have chosen to use some derivative-free optimization methods because NCRS needs some adjustments for using deep reinforcement learning because of the variable number of inputs and outputs {{cite:c10d86e75bb35a890a888a86ef0db95e4e58e51a}}. They are the covariance matrix adaptation evolution strategy (CMA-ES) {{cite:9... | m | 9e0b774ac574e0cb7e440b5b6e98e28b |
Duplicate Removal of Oriented Boxes. Although the state-of-the-art NMS algorithms achieve promising performances in horizontal object detection, their performances may greatly drop in the task of multi-oriented detection. To remove duplicates in multi-oriented object detection, RRPN {{cite:6a6bf3570f39f386dcb6446132bf5... | m | 405c2f9e0c891abc25b3d5c7570ff3d2 |
The restriction that the weight be at least 2 means that weight 1 forms are missed in this approach.Weight 1 forms are also missed in the modular symbols approach outlined in {{cite:a3ac3280591e1eedb349e0f16bcf545f5765f97a}} This is a meaningful issue as, since the proof of Serre's modularity conjecture in {{cite:df23e... | r | ddadfc7fc0e8659328abb1bd49190451 |
The response of microstructures for use in multiscale simulations, structure-property investigations, and uncertainty quantification can be accurately modeled with graphs.
The proposed formulation used the topology of the data discretization directly instead of a segmentation or clustering of the image data.
This aspec... | d | d1d1b5fc3140188dc4f4c3baf380ce99 |
If {{formula:673038a1-326b-4bfd-9ba1-7746dcc33ee7}} is Lipschitz continuous (in particular if {{formula:11f73d17-b6eb-40db-a1df-2aec43686254}} ), then our Assumptions hold true. Moreover, inequality (REF ) recovers {{cite:8532ae934d4306af37b219c34726ca4a586ac959}} but with the duality gap instead of the KL divergence.... | r | fd9fd57d8aa84a228b45b595059435b8 |
The muon anomalous magnetic
moment {{formula:83cd38ab-7e96-4b05-82b0-83c8cbd5180d}} has become a leading
candidate quantity with which to test the Standard
Model. The latest experimental result from Fermilab
this past April {{cite:52b9ee2b366ae9f355e4609ce8962c7e12220a86}}, when combined with
the previous result from ... | i | 816d7a03a7a3ba53a8cbdf8869d38814 |
[itemsep= -2 pt,topsep = -1 pt]
Sum: this variant combines the features of source nodes and its neighboring nodes by sum operation, which is widely used in existing GNN works, such as {{cite:8b52b894093124cf43126e114ca84efa3699dd80}}.
Product: this variant updates each node by computing the element-wise multiplication... | r | 80c7235b134d925b95c7707efb976366 |
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