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The synthesis results using GAN without the cycle constraint, CycleGAN {{cite:fb6f7dc12ef5ecff68f9a4da96b58ceaedc8556a}}, and our proposed method are shown in Fig. REF . We can see that the CycleGAN produced realistic images, while not being able to achieve structural consistency. By contrast, our method was able to ke... | r | aade2cf3af6be8456ff6819cd444c653 |
A useful consequence of the Representation Formula is the fact that if {{formula:d057f6a4-9894-455e-8177-d2fc9d6d7024}} is a holomorphic function with respect to the left multiplication by {{formula:27a3b54c-a37b-466c-8894-d6664869a86c}} , then there exists a unique slice-regular function {{formula:0b9f7792-4d0a-4e0f-... | r | 3c2950251c4f6161bc6bb5ec8b3602ef |
the resulting eigenvalue distributionWe only concern the eigenvalue distribution of a reduced density matrix as the observables of interest, such as entropies and capacity, are functions of the eigenvalues instead of eigenvectors. (entanglement spectrum) of the reduced density matrix (REF ) is known as the Hilbert-Schm... | r | 47d2d56607bd4af073435d4b0d8f8041 |
The goal of this work is to highlight difference between classification and retrieval robustness to label noise as well as to study retrieval-specific types of annotation errors. We choose ArcFace as one of the best-performing models for our experiments. Future work can extend presented results to a variety of training... | d | 8dca8e57bd8cae4cf566d2a3945ea4e4 |
Motivated by applications to homogenization of particle systems {{cite:10aa9f7433cda33afdf2d0123024937a7e9a8585}},
Giunti, Gu, Mourrat, and Nitzschner recently addressed
a similar problem, and proved the Gevrey regularity of {{formula:864b7fc7-931f-4d19-acbb-e6ca357d4895}} in {{cite:cefcb4b7d90a1fcb8a7cebe3da2d7c7cce7... | i | 9d5beaf72b86fcb7898a4ae070594631 |
At last, another contribution of this paper is the Fair Tyler's M-estimator (Fair TME) model (REF ) we propose and solve in Section . The Tyler's M-estimator model {{cite:079bf9748b298de7f4fc883d4f04681db035bd65}} seeks to estimate a robust covariance matrix for a dataset which might contain outliers. This model and so... | i | 4466480ee1b13a4e6267505676a3666d |
We note that, a similar approach could also be extended to the study of protoplanetary disks in dense environments under the effect of flyby stars, since in principle the disk hydrodynamics and the stellar dynamics have different time scales in a numerical simulation so the effect of passing stars could be simplified a... | m | ac2b2e36fc40226c241d768a9867ed4c |
Before presenting the strong decays, we need to determine the quark pair creation strength {{formula:905b93c8-92b6-4fcd-8f5f-5ddfaf73cdd0}} firstly. As we discussed above, {{formula:f6a05106-a264-4862-9f63-fc2198818d24}} may be a mixing state, and the assignments of the {{formula:c165b71c-5bed-4ad5-8876-ed8efa6f9ef8}... | r | 9b62e3c5c4f5bd9bba900036f6039878 |
Indeed, the proof of Theorem REF identifies a key yet unsurprising connection between the notion of true skewness, which is fundamentally a comparison of the rate of decay of the two sides of a distribution, and the hazard rate. It suggests that the notion of true skewness is an accurate reflection, and in a much more... | d | 97819edae4c2725eac7e131bc56c98bd |
A well known variant of Newton's method is Levenberg-Marquardt algorithm {{cite:d7417a7cc7493b8359ab79283bf73cfd3b00640c}}{{cite:65213432192a1d69007b66f36847345a702a4c89}}, very popular for using in the least square fit problem where the cost function {{formula:948febe9-b9db-4097-b2a3-67c95b8d2f42}} is a sum of square... | i | cd6af84e2585fd890c0ddc9b146b8e65 |
We use the same architecture, hyper-parameters and training setup as in prior work {{cite:b6c1bc2f0f4c4a7594cf1fa779faa66685f89c65}}, which we report here for completeness.
The architecture is depicted in Table REF .
All models share the following hyper-parameters:
We used a batch size of 64, 10-dimensional latent spac... | m | c925593dea80b3cd913d5ecd6fa84d90 |
Both the generator {{formula:89c39009-dbb0-4769-8125-bfae03ef8870}} and the discriminator {{formula:66af400c-7b3c-4bbb-97d8-3cc4f4ad3331}} are parameterized by neural networks. We train all discriminators models for {{formula:e6cb39d7-59e3-4040-ba9f-d8c9db3b7e5a}} k iterations. We use TensorFlow {{cite:d6300fc22ef831... | r | 59667723767b4a9c9544175eaefb088c |
Feed forward neural networks which are used in this present study, are the most used architectures because of their structural flexibility, good representational capabilities and a wide range of training algorithms available {{cite:5c26b2584a2c29254859aafb7604af7ef79278e3}}. All input signals are summed together as {{f... | m | 6cec528e7b31b71596386bd1f27a7e4f |
While our method works well in many practical scenarios, it still faces some limitations.
Particularly, the StyleGAN alignment process is prone to leaving portions of hair (e.g., pigtails) outside the cropped region. These `external' regions do not undergo any semantic manipulations, and may result in jarring transitio... | d | 8dcd63b9391eec15f91090095c27cb4d |
Even though point-based methods are easy to implement, it performs one instance one task and one has to resolve the optimization for other instances. This would sharply increase the cost time in reconstruction process. Therefore, this work proposes other computational modellings for learning of one class one task. Amon... | m | c762d6739765598105d6d669a9885096 |
FCGF {{cite:c9de91d36058c09da087f59c15d1448601ddd01d}} is one of the first U-Net methods that was applied to point cloud registration; thanks to the architecture and the sparse voxel convolutions, this method performs very well. It is also much faster than patch-based methods in inference. D3Feat {{cite:ced33c90e4eaf6e... | m | 2ed4dd7da8841df73d0c23cdb99345c6 |
The camel-cow binary classification problem presents a typical example of the class-specific spurious correlations {{cite:61964b657c55a4e7c5dcde9125dbaa45c9f0d589}}. In the training dataset, camel images almost always exhibit sandy background, whereas cow images almost always exhibit green background. Extracting only t... | m | 8be98a560a9c660b2acb3de78a2945e2 |
The ODE system (REF ) is often stiff and it may be advantageous to solve it with an implicit method. A first order method is the backward Euler method {{cite:328f246751c0e45c85d0c9de32e1dd7ecf3c0e78}}
to compute {{formula:ec6009b5-e81a-4e75-885b-0aedc8a5709d}} :
{{formula:37db60b5-bb35-4f68-84b7-ccaff5b4ed1d}}
| m | 3a8819953dfdb41396828d5d3d67c44a |
Pre-trained extractor - Extractor-Abstractor framework [{{formula:e4b4ed9f-5ee6-4869-a1e5-a403a34502ae}} ]: The pre-trained extractor of the extractor-abstractor framework proposed by {{cite:2343f909ace1effe15c4aae657e257645e2458cd}} on ROUGE-L based exemplary-extracted sentences.
| m | 8405fccfa0e31255613ea93430558d8d |
In practice, the true number of clusters is typically unknown, and hence data are used to select a good value. In frequentist inference, model (REF ) is typically fitted with the EM algorithm for varying {{formula:cbf679a8-414a-4332-b5c2-62c56766baf7}} and then AIC, BIC or another criterion is used to choose {{formula... | i | 7506cd527b02c24f4348c96a3f3637ab |
The difficulty of knowing when the bubble crashes is a absence of any sort of fundamental value to measure price deviations. There is however a inherited risk of a crash that in Perepelitsa and Timofeev {{cite:7eec97af5612c19f1d86f8cb20e21b50601fba38}} we identified with the process of re-distribution of cash during an... | i | 6a0ad9741074c630e4901eb727a2efba |
Fine-tuning on other datasets.
We validate the effectiveness of Elodi when transferring to iNaturalist {{cite:3b9529b8897efcda2979e88cb0916c4510a30797}} following the protocol in {{cite:a93899a6cb8b3d9ae874e1c4d8c56ba9ee3e11fc}}.
Results of both full-data and data-growth setting are summarized in tab:iNaturalist.
{{tab... | r | b15a2b1613806448ce89a04d09436e60 |
ResPES at the Fe {{formula:8f575c2e-aca2-490b-9139-1b6c7c75e23d}} edge. The method of the resonant photoelectron spectroscopy for electronic correlated systems is a unique tool allowing to clearly assign the studied objects to one of the classes of insulating systems which are classified according to the discussed Zaa... | r | a01cecfe1af817b56c73111fd89efc39 |
We propose two ideas to deal with the problem of implicit GNNs: one is to design a sophisticated network structure to better approximate the latently optimal weight distribution; the other is to change the loss function of the LTS. For the first idea, no model has the best performance on all datasets from Table REF an... | d | f922fa8c06fe020ac003dd3906939420 |
Demand of large values of {{formula:b63c8e63-4884-4a07-abf9-34ac8e633d42}} as universality condition is rather natural from the following point of view. Consider the Solovay-Kitaev theorem {{cite:8ad0942acad007f87b9db761ae670a5db612cdca}}, {{cite:0a963df768e184cd7126bd5d96bce0c6902d5ab1}} that basically says that if o... | d | 5bff9f56f4adcb8e862dedc9613d079a |
The machine learning workflow {{cite:64c2619db1cf46a6443f32de547f738934c84aa8}} typically contains “data oriented” stages like data preprocessing, cleaning and exploratory data analysis. The use of relational databases for these stages come with a lot of limitations. Oftentimes, the data collected would not be well str... | i | 9d978cfbe558e71fb748b7dabdcedf02 |
As indicated in the introductory section, next we shall provide a set-valued analogue of {{cite:89602ef1bfafe51095391e35fa573a727987a3c3}}.
| r | 40748e9e0f20d8dee72fba5cca18a96d |
With the exception of the UDR metric {{cite:bd78e5c8f76b08b59b0d2a5aae1f8cde1e9c9dd9}}, common techniques for evaluating representations for model selection rely on full knowledge of all the ground-truth factors of variation. We emphasize that the triplet score only requires knowledge of which observation is the odd-on... | m | c5d9bac1311647cedfc58c6155c57a9a |
In this section, we report on the experimental results obtained on KADID-10k {{cite:3862965b360fb6440f3f297bd7411b9402399a41}}
database. The rest of this section is organized as follows.
In Subsection REF , the evaluation metrics are defined.
Subsection REF describes the experimental setup.
In Subsection REF ,
the per... | r | 704bc4c5fc21ac09706c10d78efd7daa |
In {{cite:eaa79075a7a4e106bae6efbf4becde38baaa7ce1}}, {{cite:0d634431f02e9c87bc3d862588d1bf2d27e62c9d}}, {{cite:35138b658f8abe8603dd650bdddf56be6009e888}}, The error estimate about {{formula:cc0b971e-b424-47bc-8efb-93ced9fa428a}} was considered for consistent system or some inconsistent system. For any initial vector ... | m | 16126a2ae7cbd62c7660682918a54d83 |
In the denoising experiment on ImageNet, we use the Gaussian filter, bilateral filter, and median filter for denoising defense. The attack type is set similar to the experiment of adversarial noise attack. We only test in the scenario when the perturbation budget of {{formula:2641b133-3805-49a3-bc0e-dc898901ed05}} -nor... | m | 4e0b5334da1c28065095534d57a090b9 |
Next, our approach can be applied to other error correction codes and quantum algorithms that require a large number of gates. For example, most of the cost of a quantum circuit implementation of a discrete-time quantum walk algorithm {{cite:9b289503c350d7a2f4f4660c0b655d4f54f996ae}} is the unitary operator that walks ... | d | b803659caaad0069273ac57156a9bf7e |
A natural representation of a scene is a graph {{cite:1bf71c976af6e13d48a4c8cbd2edb9eb8bf76f1b}}, {{cite:8b982997ef9472f0a7f32e79bf1d9a7c6b6230d1}}, {{cite:977f996178295a1eee5be4540ab85e7aeac370d2}}, where each object is a node, and an edge is a relation between objects such as `is next to` or `is on top of`. Features ... | m | d28e0749eb72e56bad48ecaf78715ef1 |
We also prove the first hardness of approximation results for {{formula:8b7f2dc2-5213-4478-9c19-e5588f25ab5f}} -{{formula:3628fb47-a00a-406c-91f5-4942a0c38670}} in {{formula:95659c91-79e6-49a2-97fb-dfcf2f27615a}} -metric (Theorem REF ) and {{formula:c9475b1b-4a53-4d51-99a3-ab4c9ca70472}} -{{formula:46f6580a-a2eb-4e34-... | r | dc15f9960356ddf426f47f9c346f5054 |
It would be interesting to shed some light on the universality of the expression giving the gyromagnetic ratios in other examples such as flux compactifications and string theories on orbifolds breaking partially or totally space-time supersymmetry. A similar analysis can also be performed in principle in curved backgr... | d | 0b3738fa6280600b3ec57bc7dea4cacf |
The eikonal equation is a first-order non-linear partial differential equation (PDE) that is used in various applications: geometric optics, computer vision, image processing and others {{cite:21105dfe588450cec0d86af84a8b5d03b7df4f19}}. It is also used for computing the first-arrival traveltimes of seismic waves in man... | i | 962ee23f9b4faf9e16e9590960eeafd3 |
In addition, figures REF , REF and REF present the equivalent contour plot constraints for the sets 1, 2 and set 3, respectively, as well as the Bayesian most probable EoS together with their mass-radius curves and tidal deformabilities for the GW170817 case. While this paper was under revision in the refereeing pro... | r | 6841f9c702ebd9d362288dcb46e91fa7 |
Although the existing methods based the threshold-based framework in (REF ) with a classification-based loss or a Dice-approximating loss are widely used in segmentation prediction, and deliver encouraging performance in real applications, we show that the minimizer from (REF ) (based on the cross-entropy, the soft-Dic... | m | 88fd211439c89666c010847be7a1ee69 |
Heavy-ion collision experiments at the LHC, the RHIC, at GSI or the future FAIR, are expected to measure critical fluctuations in the event-by-event fluctuations of particle multiplicities related to conserved charges of QCD {{cite:d89e128404c60c858d6ce9e091f43299cc3040ee}}, such as net-proton number fluctuations {{cit... | i | 4156bbfeed4d8c787e8e643838d7eb05 |
There are different methods to estimate the gradient {{formula:77debf6f-8c2e-49ab-86d8-17e17b6fb8e8}} , interested readers may refer to {{cite:fd4d2e11c7e73a0a0a397f891ecf5e330e00a56b}}.
Policy-based methods have the advantage of being effective in high dimensional or continuous action spaces and having better converge... | m | e309c751ea4500392cbe40c1df1bfc89 |
Our experiments demonstrate the quality of predicted depth and the importance of the scene flow network on two synthetic datasets and real-world videos. We first justify the design choice of the scene flow MLP against analytically deriving scene flow (Sec. REF ). We then evaluate our method on the synthetic Sintel {{ci... | r | 4ff7131a0f92a87dfa6d362868396f93 |
In conclusion, we have investigated the effect of receptor uniformity on the superselective binding of multivalent nano-particles, for which we devised a {{formula:a04ba459-3f37-45e2-bbc3-b7d9061ce28d}} -{{formula:7a7164a3-c399-4801-b14b-24946e78e60c}} MC simulation method to compare with analytical theory without any... | d | fa46853251a3aafd9ac01e82f8f4b086 |
The results of fine-tuning the SSL models are aligned with findings from computer vision {{cite:8d7a01c240b2a5aa6ad4fcc6820bbaa7eabc4d88}} and various speech tasks {{cite:b4d826e8f30e08e2c9c56e653e1f6d61c8600d81}}.
Even though fine-tuning the SSL models results in superior performance, we showed that the training set h... | d | ca5a860178c0d4a6432dc63e5b53ef65 |
S0 galaxies feature a large central bulge surrounded by a smooth disk with no spiral arms, consist mainly of old, red stellar populations and contain very little gas. They make up a significant fraction of all galaxies in the local Universe, particularly in high-density cluster environments {{cite:4c55d064f13c8214e121f... | i | 28dc7a6871aef0d6de91a6292a6a5a2b |
The predominant algorithmic approach for learning to produce the answers conditioned on the question statements has been to train seq2seq models {{cite:4fe5d1ba8f993a01fbf1849ffeef9532c0447fd5}}{{cite:940bba293167fe58841b2b0a14d907dfc58e0e27}}{{cite:52934768924a10293dd17c191db6fc11250271e0}}. For some of the modules th... | i | 85b61dc8755b0675090590560ad75eee |
What these models learn about speech, however, is not typically language-specific—at least, not in the same way that human perception is. Wav2vec 2.0 and HuBERT do not model language-specific differences in human speech perception, and can be seen as modelling a language-neutral or universal speech perception space. In... | d | c8f85eab1dc053e5bf4a18bb3e427f1c |
In this section, we present the results of numerical experiments to
evaluate the performance of the system under consideration. We consider
{{formula:8b768b07-6513-47bb-bb2f-1850aac6e21d}} PRs (unless stated otherwise), and the location of the ST,
SR, IRS and the four PRs in Cartesian coordinates are respectively
give... | r | 63f41282d09196d52c2f7c82c369dcbb |
For all {{formula:5f33801b-403b-4454-b9cb-b0c3f903c808}} , we denote by {{formula:a9059e61-77e4-475f-8776-60188271cff9}} the measure on
{{formula:91dde843-68ce-4694-8833-9f4ba526903b}} defined by {{formula:de04f684-a990-46d0-ae08-99330f0aef71}} . We let {{formula:65236749-359a-49b2-84c7-f999d1e1bec4}} be the
least u... | r | 70302a8755ad5077dbca1ed095f487e3 |
We fit the reflectivity (R) spectra with a Fano function{{cite:2bf9ec23567d69a0f70bc99c1ec0a47223d28b06}}:
{{formula:18946c02-5da2-4511-a0d7-5d60f3aefa05}}
| r | be4bf04ac862138a38f00cd168919dc1 |
On a smooth Riemannian manifold,
von Renesse-Sturm {{cite:ee0650e3547ab005f9c3b3cb0429b4fef532a742}} have characterized a lower Ricci curvature bound in terms of a gradient estimate for the heat semigroup, and a transportation inequality along the heat flow.
Münch-Wojciechowski {{cite:4af9e726ac367828dd32ea782290ff4761... | r | 329f048b037cb25d7a3de51e830b1914 |
For our goal, the renewed interest in statistical mechanics of closed quantum systems {{cite:26c96205e8846528139c67042a80727485bd1065}}, {{cite:dd40e2fb03051655fbffda241972a0417872c78a}}, {{cite:9dbcafa9ca335713c5c023dc777ae09d1e4da8ae}}, {{cite:55410372442466fd1d121ab6859a2f2d0e58f748}}, {{cite:23c36e2bb49ad13ff68d33b... | i | 75363fa01d64404a6a480087b690a37a |
In this work, we presented a new image analysis framework that utilises autoencoder (AE) and T-L networks as regularisers to train neural network (NN) models. With this new training objective, at testing time NNs make predictions that are in agreement with the learnt shape models of the underlying anatomy, which are re... | d | f143dd8cad9e3188000deb001fc06c5b |
Section three contains a discussion of the effective Lagrangian.
This is followed by a brief discussion on the discrete symmetry transformation properties of the gauge potentials and the
terms of the equations of motion of the {{formula:0b17ba18-372b-4e2c-b152-5f3f611a44dc}} system obtained from the effective Lagrangi... | i | 1207e6fb95c7b0df97d16d400cb17fb3 |
We rely upon data from the analysis of Ref. {{cite:acf4893bffe44c0444afa3dfa5c4c7b0c896cc38}} that led to the claims of the {{formula:04cfd35d-f044-4a06-8ef2-c480718a0285}} and {{formula:f1d13392-97ba-4d77-b7e4-1bc7008bfd83}} resonances. We use these data to choose the parameters {{formula:78299294-dc43-46d9-aa2a-46a... | r | dc1a81fff2120532a051c369daef236c |
Related works. Stochastic submodular maximization has been extensively studied in the literature {{cite:7001e65347c9899ff0aca1de7fa2434d34e71ccd}}, {{cite:960408ac7e3393147a27a13019f31cc4feaf834b}}, {{cite:ebb4973be313cfa40976694dcabba04d04e5426d}}. While most of existing works assume that the cost of each item is dete... | i | 75b9e1053adc7735c80aa0ddfaae788c |
For crosslingual clustering, as shown in Table REF , our system achieves state-of-the-art performance on BCubed F1 {{cite:a15807885b9ddc62706dbb7dfb206173a1685ac2}} (+8.04) and on the standard F1 (+11.33) despite producing a larger amount of clusters. Furthermore, we perform an ablation study that shows the relative im... | r | 0bf774c130ba8bcfd5247224f6a83dfd |
In this work we propose a model, the BC-PF model, that couples in a very natural way Antal et al's {{cite:0563b87256029955c815565020c8a03bf31d0d1c}} dynamics of structural balance and Hegselman and
Krause's {{cite:65c30fc37294a00e31ce8290f875e3a43b3ec3be}} model of opinions formation under bounded confidence. We rely o... | d | 4cd0e9d6878c471071bacce1c824d0ac |
1)
Multimodal Affordance Detection
{{formula:0e9f5643-126a-485b-8fe2-c3a6fb9dec41}} RGB-D Affordance Detection: Depth information provides rich spatial structure and layout information, which facilitate extracting geometric clues to improve the performance of affordance detection. Many previous works consider depth in... | d | 24a26ea72f60b334141005bb27841cfa |
From the results in tab:vocresults and tab:aderesults we see that our method based on implicit modeling of the background performs better than most methods using explicit background modeling and without additional data.The results for ADE20k show that we perform on par with the state-of-the-art on the two simpler scena... | r | 0b9c95e5052cde296eb0129418dee1bb |
Let us make a remark on higher-dimension irrelevant operators not included in (REF ). The higher level descendants
of {{formula:61af9674-b4f6-44a1-8e6c-a469cbded3de}} potentially appearing in (REF ) are {{formula:0565f371-8c02-492e-acf1-57e4ffda8520}} , {{formula:184bf6a6-0414-4f36-b20d-ff5f15f83067}}
and {{formula:2... | d | 7036f141128197a6dc0105248729d461 |
Additionally, as discussed in Remark REF , we can use our bias formula results (in particular, (REF )) to devise schemes for sensitivity analyses of proximal inference studies. While (REF ) was derived under the strong assumptions that the data generating process is a LSEM and {{formula:4df0a1b1-7d6c-46e6-995a-2de8a98b... | d | 6638cf7fb45c7d8ca147e92bbbc62b91 |
There are at least two known proofs of this. The standard one uses the concept of extremal length (see {{cite:d5dbbae1fb4488dd68501e7d3695ba849cb98eff}}, {{cite:c28a7ddf7002eb4906a76c6d966253d6e0c608e9}}, or {{cite:82721055c3c27dc006b022143d9ccb5b5c17a02d}}). The second, which is not as widely known, is to repeatedly a... | r | 307ebd34ebd4f9f66e2e9363cac27ce2 |
In other words, The Hubble rate problem concerns about the discrepancy between the Hubble rate inferred from the CMB data and the one obtained from local measurements. In particular, Planck collaboration fits the CMB data using a 6 parameters model based on the {{formula:466adea8-7097-43ab-b14c-2147fdae4e91}} CDM cosmo... | i | 8516523d9a54d962dac6c1cf0d59df29 |
Differential privacy (DP) {{cite:5b1064a45eb50ae6bfe668e28e04353f4e5f2e9f}} provides means to accurately bound the compound privacy loss of multiple accesses to a database.
Common differential privacy composition accounting techniques such as
Rényi differential privacy (RDP) based techniques {{cite:81ef39774a1c9b082998... | i | c1fb931d720e7bfe168d9f27390f0d23 |
We experiment on PhysioNet MIT-BIH Arrhythmia dataset {{cite:970eb61537d16248a05ac7a113c784d4d5282b99}} for heartbeat classification and PTB Diagnostic ECG dataset {{cite:408e10fd8b08db72a046802dece04ba246eb4ce8}} for MI classification. For our experiments, we used ECG lead-II re-sampled to the sampling frequency of 12... | r | 3c9f52107c13c86555874371835af913 |
Consider now a minimal TT-representation of a tensor {{formula:21bb5c41-98d7-414d-9985-4cbcc22f35b6}} whose TT-cores {{formula:91083af3-87ca-40ce-97f2-4c3365f4f10a}} are random with standard normal distribution. The TT-cores of its left-orthogonal TT-representation {{formula:24f07c30-518d-4661-93dd-b70c379439ab}} th... | d | 90042fc3310439f752103184d959eeb0 |
The Integral Field Unit (IFU) spectroscopy measurements of the galaxy NGC 628 were carried out within the PPAK Integral Field Spectroscopy Nearby Galaxies Survey, PINGS,
{{cite:4056692b549028d1dba1b3c8e6ff352ea12cf95e}}, {{cite:97d026b70a327ced6cb84460f8e795ff124df65f}}. The 382 fibre bundle has a field of view (FoV) o... | i | 6ff7e56d476d5a2639755f6eea12aa29 |
The task of identifying a parameter set yielding the “best fit” model for a given data set (or representation of data) is well-known. In fact, the Kullback-Leibler divergence was invented (Kullback and Leibler (1951) {{cite:868e25c9726934df47e1893fdd662d977c6f1aa3}}) to address just such a challenge.
| m | a9df3e379f00f50e79c9c2da61fc0d52 |
Table REF presents average Friedman test ranks {{cite:7568341a82d03f9d3b9d4110ef498989a602d26c}} for each classifier on each tested metric (the lower the rank the better). Setting a significance level {{formula:560d2589-aff8-4eee-af7b-b97caf938f53}} , we can reject the null hypothesis of the Friedman test stating that... | r | 10da9f1fdf9a63beedfbfe1ee680c3b9 |
Specifically, in {{formula:72836534-a3b0-440d-b474-5d8df524593e}} , the set of feature vectors obtained from the training video {{formula:69d99b71-18e8-4f0d-9b4a-b125d9fee79e}} , the feature vectors are ordered by default as {{formula:22cc3d81-8fdd-4259-9558-cb2da5655542}} , but we randomly rearranged this order to cre... | m | 86ea0651dc7f13b6a457517f0d02ce5b |
which is the famous Camassa-Holm (CH) equation.
There are many properties of the CH equation. For example, it is completely integrable {{cite:71c935230238281acbb38cca1f5f82ea3e9c49dd}}, {{cite:a43f0b9616d9d9540deb9ccc58cf2d4b165ca051}}, {{cite:b6f4726ea0abc81715a5c434c17d8688a0a67d5b}} and has a Hamiltonian structure ... | i | 7c29140be5397734d9e6da58c7a49c58 |
Phase retrieval, under various names and methods, has been explored in many different contexts. Classically defined "phase retrieval" as pioneered in the above cited studies by Gerchberg, Saxton, Fienup and Gonslaves began with the challenge of reconstructing a signal from the modulus of its Fourier transform, but has ... | i | 625e4b50c5ef6998b3968028b32f4aef |
The simulation parameters are set as follows:
the measurement model is the target position plus Gaussian noise of zero mean and standard deviation {{formula:d79369c0-cf07-4dd8-91b9-84ba6f248816}} .
The clutter model assumes that the clutter returns originate from points that are uniformly distributed over the surveilla... | r | 08d374dc588fc3cc05834c54f962a788 |
We also investigate the spectral properties on the pre-trained model, BERT from {{cite:751aea3c2afd61a89bfe5f08ac37536f5e2aac08}}, with fine-tuning on Sentiment140 dataset of tweetshttps://www.kaggle.com/datasets/kazanova/sentiment140 from {{cite:0667675487afbee0955a27dc05f84627ad396448}}. We fine-tune BERT model to tr... | d | b4ed941288f0c3b01271cb70a6a70707 |
It is important to note that the brute-force search algorithms underlying all of
our tractability results are not immediately usable in real-world software engineering
because (1) the problems solved by these algorithms are simplified versions of
real-world problems and (2) the running times of these algorithms are (to... | d | 523f8570241f8fc1c65cba8caa5ed854 |
As contrastive loss, we choose the state-of-the-art SupConLoss {{cite:01fb78d1680737bfd0863353335e836a8ccce383}}. It outperforms other losses like SimCLR {{cite:7b28f788b0ad72508268ea6b1088f91c08c9ceff}}, only has one hyperparameter, the temperature, and does not require hard negative mining like the triplet loss. Howe... | m | 23df687a5793011b50ee27d92202950f |
where {{formula:afee5cdd-88eb-4a81-9bdc-615337204d30}} MeV and {{formula:9eed9fdf-bc66-40bf-9a89-9015bcd20818}} .
The above expression is compared to the data points
from {{cite:aed84bb6e7375e075c478c34f2a9c9c6220159a0}} in Fig. REF . We emphasize that Eq. (REF )
is not the result of a global best {{formula:0bc6faa3-9... | r | 3a20b6a79d3035d6d6bd756be3524ce9 |
In the process of light propagation, the photon number may not be conserved due to the scattering and absorption of some opaque sources. Therefore, considering an opaque universe, the photon flux received by the observer will be reduced by {{formula:8296e6c9-0f2f-4efe-98ea-7297296a54e1}} . If {{formula:93937972-4171-4f... | m | 9741ae86e8fba693ea67f01b31528026 |
Limitations and future directions.
Our method inherits some limitations from prior video and view generation methods. For example, although our method produces globally consistent background sky, it does not ensure global consistency of foreground content. Addressing this issue potentially requires generating an entire... | d | 29e67cebd7f659d049afacb9e43074c3 |
Our method also generalizes to the image domain as shown in Table REF . CLASTER outperforms previous work in five out of eight tasks and obtains comparable results in the remaining three tasks. We compare our approach to several state-of-the-art methods: Region Graph Embedding Network with the Parts Relation Reasoning ... | r | 8e1c00abd2541f0f84475fc42f2dffab |
We have presented the first sensitive X-ray view of the reddened, strongly lensed quasar
2MASS J1042+1641 ({{formula:27b8612a-b09d-4b14-8a5a-70390c6a1df6}} ), combining data from the Chandra, XMM-Newton and NuSTAR observatories.
This is a quadruply lensed system, based on optical/IR imaging ({{cite:ee6540544ed5876110ca... | d | d929249090695bd1e753dec11d8c2999 |
Reinforcement Learning (RL) has achieved remarkable success in solving various complex tasks in games {{cite:d803d2f530ceb9d2dec3cd550ed59716d6d2f570}}, autonomous driving {{cite:72a257439cfd37032228f3abcc8f27bbcfeed781}}, and robot manipulation {{cite:d215bf424d91e7b33940cd1ecc25f89ba0aa6c00}}, among other fields. In ... | i | 13a9a336734e8af8accfd1b186e7fb70 |
On the other hand, contact binaries are taken as distance tracers because of the period-color correlation first discovered by {{cite:40664674ec6fa4cad5b6f4ef8efad919286f4f17}}. The absolute-magnitude calibration of contact binaries was developed by {{cite:30a5674d3bbf7321ac4d4f27c32f8bdb6a5c1d74}}, {{cite:3d2315367a008... | d | ad2bb4365fc5f31582a64f8695b2dd88 |
where {{formula:7b492aed-55e0-43a8-9778-9b51dacb4370}} is the number of edges running from group {{formula:6df4a690-d540-4b0c-a3aa-54da8492a072}} to group {{formula:1a7a9538-d67b-4bf8-8b65-eb805749d86b}} , {{formula:6da42317-2b1b-4ac0-b238-77104a13d41e}} ({{formula:44f68620-c001-4ad9-ab83-9456f97efabe}} ) the number... | m | b9ced6322e2f91627ab44fc5e82f0928 |
This investigation has demonstrated that the metabolic networks of
microorganisms are more accurately modelled with a network growth
model in which network size is a modifying factor, a concept which
has surprisingly not previously been considered. This model, as well
as fitting the graphical measures examined, also de... | d | ff8855b7f0bf7cb3ae4aeb6556ab046c |
Three potential improvements related to the technical results in our work are: Firstly, a major challenge would be to tie the hardness of simulating approximate standard-resolution energy measurements to well-known complexity-theoretic conjectures beyond BPP{{formula:dcdbe526-0872-43f0-b518-a674c9ec53aa}} BQP. This pro... | d | 92c1edf8e003ce5df96fbd07fcaee8ec |
Models for traffic on a single lane predict the occurrence of
interesting collective phenomena in the kinetics of relaxation to
stationary state and in some physically observable quantities in the
stationary state when passing is not allowed{{cite:47d07c36560ba1d05dea2f98c5d5f73c4bcb657e}}, {{cite:0ed26f28fad9deeef88c6... | i | e115d629d1f67e51def2b3e7018704a0 |
to transfer the target style,
where {{formula:81f88a8b-c24f-4f47-b807-34d8503d5c33}} , {{formula:ba27d45c-4140-4662-9380-6a9ca127ea4a}} and {{formula:bd1c8f0f-2a28-4fef-868f-76d69b0af25a}} are the content, the style and the generated signals, respectively;
{{formula:3ce82c4a-f9c5-4939-aa0e-dbab5c44b2dd}}
and {{formu... | m | 5c53a1a4159218ff23f037ebb9af56c0 |
Note that the linear span of {{formula:1cd8b6a4-1ff3-43d4-b23b-dbe2230d900a}} and {{formula:f724b3a2-638d-4468-a932-1fc012145cce}} is same as {{formula:6dc2f5f1-502e-458e-930e-065f25a8b160}} because {{formula:767be1e8-eeb3-4005-a05a-e9f5e9a53b0c}} and {{formula:4a26ae47-41fb-4d90-92de-5ac75d10f5fb}} only differs... | d | 470f9304b89195414830793e79304aeb |
In this paper we propose MetaPG (see Figure REF ), an evolutionary method that evolves a population of Policy Gradient RL algorithms {{cite:c8fd21d3855085bbd296d93c9a2989ff5fc5da10}}; algorithms are represented in the form of directed acyclic graphs, using multiple fitness scores encoding independent RL objectives that... | i | b9191a2ab9e0165a6949696de61a5b2c |
Unfortunately, our estimate of the most probable orbital geometry (Table REF ) is not very distinctive.
The Bayes factor {{formula:cd03733e-a2a4-4977-8cff-ef1b8455ae0b}} as given by {{cite:db0e1c82a96d96e2d584022b964aa0c81fbc3854}}, calculated for our case 4 leads only to a “barely worth mentioning” rating, which mean... | r | a5abf4b97813111c0a0c66151d6b8b23 |
In this section, we discuss the optimized set of residue pair distances obtained from our GA-based approach. As described in the method part, the unbiased and extensive MD simulation data (>100{{formula:5dbb6062-82dc-4aa8-b14d-cd635204c515}} ) simulating the folding process of the proteins is taken from literature{{cit... | r | ce79054bf629805690d69fc6a07996df |
Recent work on canonical correlation analysis {{cite:6886b3d05df8b5f05d41b448ce8354be4ad20140}}, {{cite:b030bac37c5cf3062ffc348483edd781936182b8}}, {{cite:4857ae39e63c7f561ca7ab653d0221a1e4a57734}}, slow feature analysis {{cite:4d9b6d5991b55f7b0fe2e24abedebf84a3a3a00b}}, and ICA-like algorithms have led to biologically... | d | 0aea793a14973645c890af9a25e326bd |
It is a fact of life that neutrino oscillation data support large mixing angles and at least two neutrinos having tiny masses {{cite:c42c7220a4a2acff916391779a9d83a70dfebf53}}, {{cite:89c39bd3077e7b3dca705389df9c6c4140225c44}}, whereas the Standard Model of particle physics (SM) postulates that all three neutrinos are ... | i | 500655a215b0066f19541b38d518fc24 |
Figure REF shows the optimal level of precision {{formula:14ad39bd-6c28-4333-8b21-a5ce8b1c16f7}} when varying the number of local iterations {{formula:c063dc74-7f4c-4e2b-8f14-a05edede1c1b}} . We use the same CNN architecture in Fig. REF . We can observe that {{formula:a1f1eb83-ce89-4b98-be7f-738768e6c082}} increases... | r | 6901bec61e4a51fe72a5cc8253062e7d |
Two of the meshless techniques are the Moving Particle Semi-implicit method (MPS) {{cite:1c7b37796b48460af9d5914d2e4d95cf408fcba8}} and the Smoothed Particle Hydrodynamics (SPH) {{cite:3d7cb7c941ac41dc8a763870f50673631af8fdc7}} {{cite:836ad3e8aef7ef33927539864dee96a655404ec5}}, the latter initially intended to astrophy... | i | ce94b56462577f0ae2c8b0c46b72e61d |
We compare our GPVTF model with the following baseline methods.
We first employ standard spectral clustering methods on the modality-specific features, i.e., visual features {{formula:d2ad473d-6a42-4bf3-8dd0-b41239c0e89f}} and tactile features {{formula:0dfb79be-59e3-471e-b115-1cc9ca040a11}} , which are termed as SC1 ... | m | bf3c7dd9594dbee75a72ad7ff12fdacb |
In Table REF , we evaluate the performance of Img2Prompt on various open-sourced LLMs other than OPT, including GPT-J {{cite:af78dbf33756a3166cb128072391b7555238657b}}, GPT-Neo {{cite:b7f3a93a86f8ff4709cacf37057ae6e3dd74db34}} and BLOOM {{cite:e25841e64a5970222c2daee4fb53271933e25b8e}}.
The experimental results show th... | r | ea9112a8f50b0795213126a0d7db06c5 |
If {{formula:f7bf63c6-20e7-44bc-be88-ded7e117209e}} and {{formula:90af94b1-c376-462d-ba2e-d64dd6313073}} are not commutative, it is very difficult to calculate the matrix exponential {{formula:6bf0af18-e87a-4606-9c1f-9f98975b9369}} . Thus, we propose another discrete model motivated by the Lie-Trotter product formula... | m | 0e6a1a1a5c911d03c053167b37c5d472 |
An interesting observation is that there is an almost one-to-one correspondence for n steps of APE and n steps of Stout smearing when {{formula:cdcc9e9d-b5ec-4763-99f2-3ccb01610678}} . As seen in the plot on the lhs. of fig. REF , {{formula:1dd8cf4c-235c-4e88-8630-ebfb043363e9}} for a large number of smearing steps. T... | m | f30ee5e286b9c8f69826a233966a1e13 |
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