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The measured correlation functions for the four analyzed particle
species (pions, kaons, protons, lambdas) are shown in
Fig. REF . In the measurement of correlations in pp collisions at LHC energies a distinct near-side peak at {{formula:2bd7026c-ef43-40f4-ac2e-8eb9be2f7566}} about {{formula:8e1e04e5-82b3-40e1-a9b6-82... | r | 548951d70c970fa38fb7de6ac2a5da0f |
NumPy combines the expressive power of array programming,
the performance of C, and
the readability, usability, and versatility of Python in a mature,
well-tested, well-documented, and community-developed library.
Libraries in the scientific Python ecosystem provide fast implementations of most important algorithms.
Wh... | d | dd9c8779126d3909793a5d27aba7fde4 |
While our proof of Koszulity in the Euclidean case relies on {{formula:8e2ed4b3-bb3d-41ed-81a9-fa5c89169afe}} being quasi-hereditary, it is conceivable that {{formula:a9ee629a-a1f1-4c0c-a90c-bdedc36aef18}} is Koszul more generally. As evidence in this direction, in Theorem REF we prove the Hilbert series of {{formul... | r | 58051ac8b91b449dd28fb9c4d387e74c |
Here, we explain the possible reasons. Firstly, the low SNR of spectra from SDSS leads to the large uncertainty when calculating the age of the galaxies. Combining spectra from various observation project may be a solution, as discussed in {{cite:8eb071eeab06a6791bdf4864e36a47770cb0e6e3}}, {{cite:ecca7fbbc24fc2269cab88... | d | f85832383e6ddf8b272d38172f74d08c |
It now follows from Theorem 2.7.11 of {{cite:a18a4303f524820aa533f31c9127d34e23681881}} that
{{formula:21b9a6c6-9285-47b0-b07e-139eaff0cded}}
| r | 7f50fed4b9172089cc4e6dc5a4d8a2fc |
Visual Storytelling (VST) {{cite:b4c91d4ba683d3f954115485ee257831d6c828ae}}, {{cite:2467c4be51f2b0720d4f9211aa06d967b27a829b}} – the task of generating a story based on a sequence of images – goes beyond a basic understanding of visual scenes and can be applied in many real-world scenarios, e.g., to support the visuall... | i | 6042dd1f1e846df476ee2511ddecb422 |
We also conducted a user study to evaluate the quality of the generated music-conditioned dances.
All the 100 sequences of the validation set of PhantomDance were used for the study.
And then we collect the generated dances by our method and the compared baselines {{cite:2d85c7bd73c93d2bf7612e5a97ea4c37b1162117}}, {{ci... | r | 5e7b93560b553120c9f1ae69d18ba90e |
The saliency regions of MNIST dataset are morerestricted to the number regions that covers the whole image, while the saliency regions of CIFAR dataset spans beyond the target object, i.e., the texture around the target object. Thus, 1) this will maximize the probability of distracting the cnn model by giving importan... | d | 60458f3aa6d539f8b97df2d773e9691f |
The motivation for seeking this conformal basis is to understand the holographic nature of quantum gravity in asymptotically flat spacetimes. Realization of the holographic duality {{cite:e23d50d5716bdc3a2aeb0879359a1d6c2e52872c}}, {{cite:f73adb1b7a62d3d7f793d691121e8d26594f88e6}}, {{cite:1a2f196895cab400b5d4f4506d9b2b... | i | e3f1ffa4f110a91e54bc52a7900305db |
We studied the equilibrium properties of symmetric self-bound droplets of 2D binary BEC beyond the standard LHY treatment,
at both zero and finite temperatures.
We computed higher-order corrections to the excitations spectrum, the sound velocity, the normal and anomalous correlations, and the free energy.
These correct... | d | ab3d4af9e59c8b3f54af22023d771dd1 |
Typical storage and recall of single photons for a 4 {{formula:e3684b21-34b1-45b1-b80d-e23fb02ffa0d}} s duration is presented in Figure REF . Dark/light pink shaded regions indicate the times when the memory is in the read/write modes respectively as indicated by the magnetic field gradient state and presence of the co... | r | dc796399a16f0babcd886c21a90f93a5 |
We conduct experiments on the popular OfficeHome PDA benchmark proposed in {{cite:4c026d8b008abff960f3851605aee19add27a53d}}. For this benchmark, we use images from the first 25 classes in alphabetical order as the target domain and images from all 65 classes as the source domain. We make use of the same splits and exp... | r | 2cfda300ac56ee10bad95c28b6618506 |
Minimizing term 1 decreases the error over the orbit {{formula:fc9a4e6c-1499-409c-aea8-0e4c7bd32e9a}} , while term 2 penalizes the size of the estimate as measured in the {{formula:3a419c6a-9839-46db-bd79-2ffa0188d6b1}} norm. Increasing {{formula:19de09e5-5abd-4914-8379-e856dab9ff82}} generally leads to smoother esti... | m | 1c0b69beb10797959e75e3fd29349ef8 |
Gauge-gravity correspondence relate strongly coupled gauge theories and weakly coupled gravitational theories. In {{cite:530ec66ac871bca36a1a887b27358ce5cd854ade}}, author realise that strongly coupled {{formula:c6093d8f-876d-4dea-b1db-dd6013050e4f}} SYM theory and type IIB supergravity background on {{formula:9ff1519... | i | d5b83149f623fd80f33ca9b09ec2a57d |
For the VAE-GAN and {{formula:74e42556-e4d2-4d35-a4ec-e537ccc51f12}} -PVAE, enhanced speech can be obtained by waveform reconstruction {{cite:30a22723bcc477a8451644b937f5aa17dff24e41}} or mask estimation {{cite:56b9e2075a7cc47af47418ee475e5a02fa5ad9b9}}. The direct waveform reconstruction is based solely on the speech ... | m | ba9dfa7adfd06395ddca667939791a2c |
Multi-modal approaches are widely used in the field of action recognition {{cite:3cb76fc849db1f97effcf1459b88a6f206b2edce}}, {{cite:86a4fd6304cd878f9916da63fd8e3c2f4d77e4b6}}, {{cite:cf8b4501cec68e13215a93e8511f853f723f2ba4}}, {{cite:25082f221d60ef558153fba75446f2e3028c072c}}, {{cite:c1a431116402837ae2716d040ea33a6782a... | m | 53d402cce71e4539a4fa701cd0dd111d |
The questions of how network structures and diversity influence the outcomes of behavioural dynamics, or the roles of network reciprocity, have been studied extensively in many fields, including Computer Science, Physics, Evolutionary Biology and Economics {{cite:e24222296c2822da48445433db377c16eff9a6f1}}, {{cite:00e15... | d | 2c4b31879aec71170da0f55f5b36cbc7 |
Our resummation approach uses well-established diagrammatic arguments {{cite:cacebaa12b62cb1b0640d3a7dd9a40ec96e58a27}}, {{cite:e766bf60c381f20a203324e5062ebac1f195d602}}, {{cite:1e542749b567243eb07a125eb3cb1b5c50e346f9}} to efficiently calculate all-order forms for the purely real emission contributions to partonic st... | d | 15b877de2cb3b857d3e45a054304976b |
It has been well known {{cite:3ab3cbe1c11df2b92f6f0b7c5459747c737b1d52}}, {{cite:d0324edf31cceaddf4ef6b4a649fdb51e58e8687}}, {{cite:713c25189945372289953b20f10e886984f7fade}} that, in general, there are 14 (algebraically) independent, second-order,
invariants formed from the Riemann tensor {{formula:adb05469-6afc-43b2-... | d | 9acc4bac7bc2c2251b45c65fb50d4dfd |
In spite of the fact that Frobenius' theorem only holds for linear ODE we shall seek solutions defined as power series, as has been already done in previous work {{cite:c992ce66d37c17c440f86340861121e5c0b0416e}}{{cite:513a598edb0f0822be9db64c14bdaa990c14023c}}{{cite:9b1464ed2a96ce5099b43896f7831526617016c0}}{{cite:758c... | r | 35c3d228850145055105658dd1a860cc |
Quantitative Results
We compare our model with the baseline models on WMT'16 RO-En, XSum, SQuAD dataset for machine translation, text summarization and question generation, respectively. Table REF shows that our proposed method CLAPS significantly outperforms the other baseline, with the performance gain of more than ... | r | 0498746d79775f3a93e5f5f02407dd6c |
for the solution of the nonlinear system of equations {{formula:1db82484-7a17-425a-8243-d2b7d8f4291c}} is known to be
superlinearly or quadratically convergent to a solution {{formula:aefe7f0e-9a55-4c8e-9b86-25a8d2337053}} , if the solution is
BD-regular and {{formula:d0c0a07d-91bf-483f-ac2c-0fabe0107a73}} satisfies ... | m | 4120f4ec14c794a3c23d138ec2078b0f |
We also compare our method with other efficient ViTs aiming at reducing redundancy. Most of the existing efforts target only efficient inference. They either apply to the fine-tuning phase {{cite:34f1a05b9c3a5bc51b63bdb7062f183847f17b85}}, {{cite:fcf7a80664191105d62f20e38fca10006dc8044b}} or introduce additional module... | r | a80f854795c486c72d4c70ae7430f5f0 |
In this case study, we make use of the highD dataset {{cite:7b97193f363bfca0478f3cacd433781d07fdeea7}} to show the potential of our proposed method. The highD dataset consists of traffic data recorded in Germany at 6 different highway locations. The dataset is made up of 60 independent recordings. To visualize the data... | m | 90313b2ec1f4517f24200b4b870f0be0 |
The first method we consider to derive the diffusive jump rates is the FDM. Meinecke and Lötsedt {{cite:02738d590167d61a446de500ea732fcb90ad4a59}} chose a 9-point stencil which allows one to include a parameter {{formula:ee96e2bf-5bfc-484b-a8fc-1442f890e38d}} to study the effects of diagonal jumps, while maintaining a... | m | acb00d96e28e0593d75b746477286d58 |
where {{formula:64e3861f-4829-4b45-978f-ea352ad580ac}} is the {{formula:3f477707-59f9-4120-b16f-1942059474fb}} identity matrix and {{formula:31d11fa9-c8e5-4335-a03c-ecaa68c95d24}} is
a small positive value whose role is to make sure that
{{formula:3139860a-671a-4c66-9e95-07131e9fcc70}} is not singular
{{cite:90e9d5... | m | bd14db5425c4bbe6e0544b3dd63e4b4f |
In relation to the previous work on imposing bias from biological networks via graph convolutions, we compare in our experiments the graph generated using ontology embeddings with two graph datasets
containing a mixture of protein-protein interaction and gene
co-expression data: GeneMANIA {{cite:b1afcf3b9ca818a70d4cfc3... | r | 1b37bde92918ec4f816dc0698fea43cd |
A* is an informed search algorithm {{cite:b04bae46068e88b2b9a6ad26e882cbce1ff8ac78}}, meaning that it is formulated in terms of weighted graphs: the algorithm starts from a specific node of a graph and it aims to find a path to a given goal node having the smallest total cost.
The cost is defined, for instance, as the ... | m | db4cce50f48b14fb8e6a31dcec41b92c |
This paper introduces WildWood (WW), a new ensemble method of Random Forest (RF) type {{cite:a771942330fe3b4da52e105c022e02a043682cec}}.
The main contributions of the paper and the main advantages of WW are as follows.
Firstly, we use out-of-bag samples (trees in a RF use different bootstrapped samples) very differentl... | i | 4a36b5d4e6bde3941cddbadb8f729a79 |
The uncertainty associated with future events has been addressed by some approaches {{cite:f7adae0903e7831a187d2d9bbf7072dc99c835e9}}, {{cite:521fa675aff758c68da1163b05247567a94e4c33}}. Similar to Farha et al. {{cite:f7adae0903e7831a187d2d9bbf7072dc99c835e9}}, we do so by learning a probabilistic prediction model. Baye... | i | a7a0e11c1b1f11bf4a94ff5ca4860f02 |
However, a key issue with GNNs is their depth limitations. It has been observed that deeply stacking the
layers often results in significantly worse performance for GNNs, such as GCN and GAT. This drop is associated with many factors, including the
vanishing gradients during back-propagation, overfitting due to the inc... | i | 196320162d008cb68a9ce5c03a8d505f |
The advancement of object detection and segmentation techniques in natural scene images has been driven largely by permissively licensed open datasets. For example, significant research has been galvanized by datasets such as ImageNet {{cite:0d31a75b61d5b13d564e07c03d084b98e12debfb}}, MSCOCO {{cite:4069e9053038b2274756... | i | 8e1ec3ac7851a2a6a370f326890a75a6 |
where {{formula:bb4c6ca1-effd-4494-b6c7-ecae72af294b}} is the space dimension and {{formula:0979f957-5089-4bae-aa7c-29870aabbfad}} is the effective temperature. The matrix {{formula:48bb29c5-a149-4032-9151-faa213adb315}} is the adjacency matrix that defines which pairs interact;
its entries can assume only the value... | m | e79a9388fdd57677e594d8e57871b2e9 |
We compare the generalization ability of our detector on a new domain. KITTI {{cite:188927b0636a9ee07e17b78e0b3cb7460e15ce93}} contains 7,481 real-world images, but with a different data collecting method than Cityscapes: the performances in Cityscapes do not perfectly match those in KITTI. In table REF we see that ou... | r | 6181497bf2679265e9053105825d118a |
To understand the relation, we need to carefully analyze the dependence of the
series expansion on the choice of expansion variables.
Different choices of expansion variables give different series expansions.
Indeed, the expansion found in {{cite:da42cba28b3a6648594f3f4ed38c4f52b86c3d55}}
is the simple expansion over a... | i | 656d2b53bcb41671295013fe627beb6d |
As we aim to present an Arabic benchmark dataset for commonsense explanation, the dataset is provided with a baseline evaluation to address the research task and problem discussed in section . The baseline evaluation is based on several state-of-art transfer based language models i.e. BERT {{cite:f7a0aef14d907a81fe9808... | r | ca918ecfcc4936a833b179a447710bcc |
First, in the BotTask condition, two participants complained about feeling “spied on”. These participants felt uncomfortable with the searchbot “listening in” on their conversation. Systems that proactively intervene with task-level advice will need to monitor the conversation to some extent. To address such privacy co... | d | 6b933a5959efc8265d6b456a99de6084 |
By Theorem REF , solving problem SLQ{{formula:5cb9f198-1c9d-40e1-9463-4ac155de1d3a}} is
equivalent to solving the system of the coupled forward-backward difference equations
(REF ) and (REF ). We may exploit the variational
character of problem SLQ{{formula:b6a7d960-d0c6-4c92-b0fe-b229f4435cd9}} to construct a gradient... | m | 1c873379d384606cb34338fcec59291c |
In this paper, to calculate Schwinger pair production at finite temperature, we generalize the evolution operator method of TFD to generic thermal QED systems that contain not only thermal charged particles but also photons. Then we get thermal transformation relation of outgoing operators and incoming operators under ... | d | d057c02a1e18b7709528ac7199dc220c |
Case 3: {{formula:4f787a44-1c1f-427e-8895-1d440bc00ed3}} and {{formula:adb64b45-8471-47c4-a87e-b8b63187b6e3}} . In this case, using the results of Dontchev and Rockafellar {{cite:1b9c6de3d11ee58d6a2dc365333ae30377cf2a41}} one can verify the following lemma; see Sect. for details.
| r | 558b40588f919d7e05af04515747dc38 |
One can also wonder if Hamiltonian truncation can be used to compute observables other than the spectrum. One motivation is the following. It is well known that one can extract scattering amplitudes from the finite size behaviour of the energy levels on a compact space {{cite:024861dd2c72a77834a61be2694b841f70f909b4}}.... | d | edc676f47f81b5595677f5fac918fe9f |
instead of the more common rectified linear activation function. {{formula:dd852c20-9b52-4600-9a87-f8742017d760}} is the sigmoid
function, {{formula:d73f3080-c7c0-4f09-8b19-782894016f66}} is the number of the layer, {{formula:5004f184-fc44-4d20-9ba4-b4dcf0002741}} is the element-wise product and {{formula:2ee8964b-a... | m | 1d058d3c6902c3bd6a08481f2ad0dd78 |
(3) Retinal-OCT. In the medical anomaly detection task, the proposed method achieves significant performance advantages. We compare with DSVDD {{cite:f53a063a4f834396c3b2cb0ffaf9910f0fe588e3}}, AnoGan {{cite:d20b5ca666821741012fd4b647915f59a69dabf5}},
VAE-GAN {{cite:6ad18722ef468c43bb29d9680fd5856da36cea52}}, Cycle-GAN... | r | b4ee6e374166e0817ce3a0e3262786b3 |
Our effective field theory provides a general framework in which the holographic dark energy model can be tested. For instance, the non-vanishing mass of the gravitational waves, which is small at late time epoch but sizeable during the early universe, leads to a modified stochastic gravitational waves background. On t... | d | d040135fdda2ac6eb46a10f4a36c4434 |
The recent kernel thinning (KT) algorithm of {{cite:51907fc26ad47441eb42e23a98e7021f7b14e9c5}} addresses this issue by producing thinned coresets with better-than-i.i.d. integration error in a reproducing kernel Hilbert space {{cite:f2f6fd0e2d5912010a337dc3841203c3703a743c}}.
Given a target kernelA kernel {{formula:69c... | i | 3f559192dceeff8dcad1c9a809c7ac8b |
The result on the arXiv test set is shown in table REF . The top block presents previous state-of-the-art methods with shorter input sequences. Sent-PTR {{cite:7f820e3f8ee88c88f48071fc962e7c33092a1d4c}} is an extractive model that uses hierarchical LSTMs and a sentence pointer to select key sentences as the summary. E... | r | b7cded05e03c7f0eaae09af4cbf4baad |
Two recent works have considered the horizontal length scale of convection in the geostrophic regime. Guervilly et al. {{cite:a89dfb6b4f248e27a66298ac5107bb65d3b62a31}} combine results of various numerical models to find an effective scaling {{formula:5d3026c9-0163-4d92-b222-955d41e29db0}} with the Rossby number {{for... | r | 7924bc3fe1db860ae09a103f4f6b34cf |
Knowledge distillation (KD), which has become an increasingly important topic in the deep learning community, offers a potential solution to these challenges.
In KD, the goal is to improve a student model's performance by supplementing it with additional feedback from a teacher model.
Often the teacher has larger capac... | i | d2171918fefefb9dc1687aa8248c4fc8 |
In this section, we first show a few examples of Feature Vectors implementation on widely used tabular datasets to show the usefulness of information provided by our method. The second set of experiments aims to show that the fature-importance measure provided by this method are objectively valid. We finally use the no... | r | 22609c4c72cafc8543d72dd96e0144c3 |
In Figure REF , we show the excess surface density
profiles derived from the g-g lensing signal for sample cAGN
and corresponding control samples cSF{{formula:deb9d413-dce2-47ba-a0fc-91ed4601adae}} and cQ{{formula:36449731-ea58-4f4d-ac1e-ed54dcb1d93a}} . As one can see, the ESD
profiles obtained from cAGN and cSF{{for... | r | e5e3589075528f17117184a2560a2a75 |
GWF for interferometric inversion is inspired by the non-convex phase retrieval algorithm in {{cite:2129016b26228795838d315c270cb77ca0fba9f1}}, {{cite:1745687a4bf49221ea264f475df5df390d1cbc38}}. GWF uses a two-step algorithmic approach to solve quadratic equations involving first a spectral initialization {{cite:1e083f... | m | 11577e878c3bb231a667ce733c1e14fb |
Rain is condensed aqueous vapor in the form of falling drops with high speeds and small sizes. As a common weather phenomenon, rain can bring massive impacts not only on our human society, but also significant influences on today’s intelligent era. Such impacts are most prominent in deep neural network (DNN) based perc... | i | ed7121c26e372cfabedc98c6e85d3e6f |
Next, an end-to-end method called LO-Net {{cite:ab030c38bd04b7f6a59e5398afb5f9b585d002ae}} was introduced that takes in LiDAR point cloud data and computes inter-scan 6-DoF relative pose. With it being an end-to-end trainable method, LO-Net learns an effective feature representation. This is facilitated by a new mask-w... | m | a2841608c6ef3316cb31d7a383175974 |
To determine joint BAO and {{formula:0bf56d4d-81a4-4d9c-ab45-f30942763a90}} constraints, we multiply the likelihoods to get a joint data likelihood. The same procedure is used to determine the joint QSO, BAO, and {{formula:e94c892e-c564-4bc1-86be-675096bc55c7}} data constraints. In our previous analyses {{cite:0edeb3... | m | 0f68a8c73cd5446cb1df69a7097cfb48 |
Although we can use classic machine learning approaches, they don't produce any representations. As we see a lot of new types of geological data {{cite:2d116b28b13040ed64ecd913c445a6420d064ee6}}, it is more convenient to obtain similarity during representation learning and apply neural-based models for it.
| m | cc6faba523996b7622f7aaa1779ac929 |
(5)
It is seen that branching ratios for
the {{formula:5756bafa-810d-4973-8e27-a7cf08492c07}} {{formula:80731498-9e73-4d6b-894e-e29bc97d3937}} {{formula:ef68cfcb-31d1-4f3d-807d-a0068e78c0d0}} ({{formula:a6a40a5d-30d9-4453-95b2-a0c8b209dcc3}} )
decay can reach up to {{formula:9667b3ea-3509-4039-864d-0c3c6d83d20b}} (... | r | 1c53874aa854fa557b68c4f7516d5ebb |
Visual content recognition and understanding have greatly made progress based on the advances of deep learning methods that construct the discriminative model by training large-scale labeled data. In fact, two reasons limit the current deep learning methods for efficiently learning new categories. One is that human ann... | i | 1aff48d8b576793bd09e2ce765071b19 |
The human perception system is inherently multi-modal. Inspired from this and to leverage the learning of new concepts we propose a multi-modal interaction module that embeds semantic conditioning in the visual processing scheme as shown in Fig. REF .
The overall model consists of:
(1) Encoder. (2) Multi-modal Interact... | m | 03dc286529b1a2e70a7f882540d640b7 |
By accurately and efficiently solving RPM tests, we have demonstrated that NVSA enhances the aspects of both perception and reasoning by adding a distinctive vectorized flavor to them which is based on the high-dimensional distributed representations and operators of VSA.
In the proposed neuro-vector perception, instea... | d | c05b51eeadea8042acb2c7e3b08566bb |
Parameters of the above mentioned models are fitted to different sets of the then
available cosmological data. In most of the {{formula:be17e432-30d3-43a6-b8bf-61f7f69e975a}} minimization but for
Ref. {{cite:82b1f19516e63bd90ad134a10c43ba34012ee019}}, contribution of radiation has not been taken into
account. The incl... | r | 782841f577ebe6fdd7997d59c392a417 |
{{formula:cdace7d3-7cef-40a7-a872-e3b6c671809a}} leads to statistically significant improve over {{formula:c821c2c7-9b01-4c1b-b17a-6c3eec9ae8ba}} if the lower CI for {{formula:7de77ad9-aaab-4b66-83e1-7a2c1084b803}} is larger than 0.5. Per the Neyman-Pearson statistical testing criterion in {{cite:5810ad20d6842450b6a... | r | ed81941f406f792f83c62f30a4b2e33e |
We propose a Ranked Policy Memory (RPM) method to provide diversified multi-agent behaviors for self-play to improve generalization of MARL. Then, we incorporate RPM into MAPPO {{cite:dd96ebcf637dc169f6f4492b3552593f3415ceda}} for training MARL policies.
{{figure:ddf2abdc-734b-4b8e-9775-fd7954365c62}} | m | 52a8397ae54954c44d236a972474ea38 |
In conclusion, we have shown that a driven Rydberg chain with
staggered detuning term leads to several interesting phenomena.
These include ergodicity violation via Floquet eigenstate clustering
in the strong staggered detuning limit, dynamical freezing,
sustained coherent oscillations with perfect revivals near the
fr... | d | 9bf11d995625391e4e2aea3a874888c1 |
Fig. REF shows the architecture of our proposed children’s speech recognition system. It uses a pre-trained wav2vec 2.0 model {{cite:57e95e4d158330a09f3f1f0f775dbca0cce89cbd}} to extract contextualized speech representations. This wav2vec 2.0 model is fine-tuned for children’s speech recognition by adding a randomly i... | m | fd4790787e6616dd09bc2b5679b73e1b |
It is standard that Assumptions (H0) and (H1) are satisfied for the elliptic operator {{formula:313566af-ad86-49da-b145-a352144df8ac}} defined in (REF ); see e.g. {{cite:b6f9fb033403c791635e995f925817f84254adfd}}.
It can be checked that {{formula:9b0df26d-bf3d-4a7e-948a-deb4c1a85a7b}} is locally Lipschitz as mapping ... | r | bcd843c240324469940181835cd46a0c |
Our results are shown in
Figures REF . Similar to the observation in {{cite:51612414c33d7a68b29bbc20aa47d6039c5671e4}}, SVM with subsampling achieves low worst group error, lower than both SVM and GS-SVM with {{formula:e3157cc9-b80e-4038-90ad-768bf1642647}} . Specifically, note the low errors for Groups 2 (Figures REF ... | r | 616982493582d7052bf68e3b14b9eb26 |
The carbon monoxide (CO) molecule has been used historically to trace the overall distribution of molecular gas in our Galaxy and other galaxies {{cite:2d9563f0667647398f60589ed7f88131bb862897}}, due to its substantial relative brightness and abundance. Surveys for the lowest rotational transition of {{formula:b7d9e7ba... | i | 18af337a0bd53b62a5c875d8d85b52b5 |
Thus, variational inference can be suited for larger data sets and scenarios where the model or a variety of models have to be estimated more quickly.
It, however, only provides an approximation of the posterior distribution, does not provide the same guarantees such as MCMC methods, and underestimates the variance of ... | i | b1c69c43d9d3189d04c0dd02ef79d259 |
To the best of our knowledge, there are few truly unsupervised methods that can work only with the image being inspected, with no prior training or information about normal samples, as shown in Table REF . In order to compare our proposed method with the state of the art, we use MVTec AD {{cite:7f95cf44fb4474554694b2d4... | r | 58b90ece78439367def94d769203b9f6 |
and then taking the {{formula:5d54606f-3afb-47fb-911f-29b32c232d58}} limit of exact solutions to Einstein-Gauss-Bonnet gravity. This approach allowed for non-vanishing contributions from the GB action term in {{formula:0c4cccd7-5be4-418d-8e3a-a9a20026bc40}} . In doing so, a number of 4-dimensional metrics can be obtai... | i | a12db3578db6fa3d1d31a17ab18c6420 |
The multiple comparison problem is more general than hypotheses testing and is raised in feature selection literature, too. A recent and powerful feature selection method called the knockoff method, developed by {{cite:7aad0bfe9114e02a3299ed9643c1e78ea7fbc2a0}} theoretically controls FDR in finite samples. The original... | i | 265fcf9333a708cf7702f67315dd5aca |
To conclude, we have presented a framework that explains the emergence of biaxiality due to the magneto-nematic coupling in nematic liquid crystals with magnetic inclusions or ferronematics. This topic has generated interest because of its potential application in the multi-billion dollar LC display industry. Further e... | d | e2fdcd1671a3c7bd9ef56dcf9b321637 |
In this section, we present our numerical results to investigate the performance gains and to validate our analysis. In our simulations, the large-scale fading is modeled as {{formula:fe18e10c-3c59-49a6-9997-c386476226ba}} , where {{formula:e2dd87d6-acfb-4284-bf22-5768dfc30927}} , {{formula:7ab0035b-673f-4796-8954-2e2c... | r | 74908c3cd451a74db19208430fbea135 |
One can reverse the logic which we followed in this paper by assuming that the entropy of the strings and branes is equal to the entropy of the black hole to all orders in {{formula:c19cdb85-44e3-4839-bd93-6de822fe4cc6}} , and ask what are the conditions on the inner boundary of the manifold. Two possible answers emerg... | d | 8f1460fe21158e7d2738789312151ffc |
Average value of the order parameter calculated during the simulation {{formula:bc469132-21bd-4c23-a61d-466d9383db42}} , is used to identify structural transition induced by the change of the packing fraction of obstacles, {{formula:c8de8aba-6ef5-4ecc-a04f-56bde4047959}} , in a similar way as it was done by increasing ... | m | c20675452c24c7b2cb31bfc0270b2d66 |
Many networks evolve through time and are liable to modifications in structure with newly arriving nodes or emerging connections, the GRL methods have primarily addressed static networks, in other words, a snapshot of the networks at a specific time. However, recent years have seen increasing efforts toward modeling dy... | i | 7f99754ad423f3877846e87e0e38d2ab |
The convergence rate we get is comparable to the convergence rate of Q-learning with a linear learning rate as given in {{cite:177b27fc85468817efd1062fcace251ca2ff260b}}, where the bound they give for synchronous Q-learning is {{formula:2d8bb4c1-3c75-4493-9fe2-3316f8514946}} where {{formula:600fa4f3-9524-40f6-b933-479... | r | b69de0eb05149855089c55392f40f2e7 |
It follows from {{cite:7b1f3bee17a759ae98e1e0f39ea1baddd4cd1ed2}} that
{{formula:7e2101bd-e3d2-49eb-89ae-c24fab1e402d}}
| m | b47b238683896851d61ff388d57c9b81 |
{{formula:c0b88ee6-79d6-4c37-a949-3fd1426003a4}}
{{formula:c4289859-b5d9-4798-93d3-7f6e80d1db23}} {{cite:87d092d3841fbd83cf8e7729d858e90fc8efba79}}, {{cite:0e62fb819c0ea1a785a116b8a2bf6f2a30363d62}} spectral clustering on strongly connected digraphs. To extend this method to the graphs used in our experiments, we ... | r | f53f32f5ca974fa21b8a6431276ab92d |
(1) Token slimming compression reduces the complexity of ViT models by reducing the number of input tokens (patches), which is also the focus of this paper.
Table REF shows the comparison with existing token slimming based ViT compression methods, including DynamicViT {{cite:7938e42642c8dbd8f245b613093075ae333fef9b}},... | r | 1b559b7879f02d0630f456151186812a |
Table REF shows the results for imbalanced image classification. OPeN obtains SOTA results on all benchmark datasets. For example, on CIFAR-10-LT and CIFAR-100-LT with an imbalance ratio of 100, OPeN outperforms the previous SOTA method, MiSLAS {{cite:4fd4b1d7e3e8d64982799d4521e2cd296ff367a7}} by 4.5% on both dataset... | r | ccead979b45c3a7fd8b7d128b2098f2f |
Variable cosmological constant notion has led to a rich structure of phase transitions and critical phenomena. Indeed, in the recent years, thermodynamics and phase transition properties of the black holes in AdS space have been discussed in many studies {{cite:95c9bf93645fabd43aef6d0c130e942f230d8b67}}, {{cite:0ee4327... | i | 27e0545db9bbc62055b6837997bbb07c |
We also note that the observation of the center of galaxy M87 by Event Horizon Telescope Collaboration {{cite:a3648f1bf540e3841cca355c8b03df7f9fe99c2c}}, {{cite:8d030a2dd07a27ac62ebce8cc690e76b2e3b328f}}, {{cite:138e524826dfbc567cbbbe9e43ca43d6d69c0953}}
implies that the large deviation from Schwarzschild metric and Ke... | d | 133f8f5375483305ec816bc99717bfa5 |
All the data collected with the Pierre Auger Observatory were searched for candidate neutrino events in
the direction of TXS 0506+056 with
negative results. Instead of providing a flux limit we calculate the expected flux
that would have been deduced if a single neutrino had been observed, assuming
a steady flux over a... | r | e522d88a182283584e02ee4fa4a5e043 |
In neuroscience, neuronal assemblies are hypothesized to generate oscillating electromagnetic fields within specific frequency ranges, also called brain rhythms. There has been overwhelming evidence that these brain rhythms can be captured by in-vivo brain recording techniques, from noninvasive methods, such as electro... | i | dd67f95e899c4fc93b558a7150a8b30e |
We first show that multi-layer HAG graphs do not have a significantly higher value for small {{formula:1fdbe84e-55d2-40a4-b81d-ef50c33e5296}} compared to single-layer HAG graphs; this justifies our focus on single-layer HAG graphs in Theorem REF . We compared FullGreedy single-layer and multi-layer results for three d... | r | b65ef456beb545f93f364aa424dbcbda |
All results in the previous sections are based on mathematics;
the derived relations, however, require interpretations. In traditional applied mathematics, interpretations are based on existing narratives within a scientific field. However, for the present work such a discussion seems to be beyond the current understan... | d | 40952d0733e0dd938a1deb8d6bb45d98 |
Most of the existing CNN-based deraining methods are full-supervised, in which they pay most of their attention to the architecture design of the network such as the multi-stage {{cite:5691aa20f3f128834917cc064ae7fb21a5e9c7f2}}, {{cite:3544c903062787f0dc66fc66a71a0af466195eab}}, {{cite:2c5f0445fdaf61affe87d5e1e18db6c9b... | i | 8b8e0aca57d0cd515268a169445dee0a |
Our findings open a new scenario of phase-ordering kinetics, associated to the landscape-inversion phase transition (LIPT), in which several unexpected phenomena take place. In particular, these include a new mechanism to form metastable phases, namely by spinodal decomposition. By this mechanism, metastable phase form... | d | 1a599dada0f7fac1b38dc35b2048d3b3 |
A wide range of imaging modalities use tomographic reconstruction
algorithms to form 2-D and 3-D images from their projection data. While
the classical Filtered Back Projection (FBP) algorithm, and its
variants, are widely used in practice {{cite:33c2874c214990976d421f8643d4ccbfa6373dd8}}, iterative
reconstruction algo... | i | 1927fd20eb9fa78fab252af31e9c47a3 |
However, the aforementioned spectral GNN methods share a few significant weaknesses: the Laplacian eigenfunctions are inconsistent across different domains, and therefore the method generalizes poorly across different geometries. Moreover, the spectral convolution filter is applied for the whole graph without consideri... | m | 3e496e5a924480ee66ecd03ae2b6a80b |
The flux threshold of the current MeV gamma-ray mission INTEGRAL is {{formula:2f665ded-d3ea-44c0-baf8-826b09072b1a}} erg cm{{formula:d7488777-3c80-457e-a792-c6ecd6f5f1c1}} s{{formula:a63b3e79-2b62-4f9f-b9e4-95c903204269}} (15 keV{{formula:9c365c47-03b2-4eb0-9c99-9d0abe8f864e}} MeV, exposure time {{formula:1986c4de-... | d | bec0f36d27294697b5d283d2e9daf12d |
The success in obtaining WSS from core flow measurement is tightly related to flow physics and the relation between WSS patterns and coherent structures away from the wall where the topological {{cite:008567ac24df7343501e55bfcc21b55f912161df}} and dynamical {{cite:316db86a5a8b36c53a9d6585cdb6c719309bb2ee}} features in... | d | 4820a6acd79a3a3157c427ae19c9159e |
The operators that we want to study in this paper, are
in the complex Lebesgue space {{formula:d4953c2a-db72-4aad-87f2-f22e7e703387}} , when
{{formula:9ef00d46-84b1-48f2-bb5e-c9ed72cc7bcc}} is a locally compact group with a right Haar measure
{{formula:0573f8c2-6711-4cb0-b0a8-bb013054a589}} . Note that, the Lebesgue s... | r | 6cd97dbd144821ae96a422b5d62bcdd1 |
As described in previous works {{cite:c71215f911a92a872107278dcc6aaa97f2a0929f}}, {{cite:41b6d685450cb33f7c0efd5fccd7d453f15f3521}}, the magnetization of {{formula:8f75a67c-cbb7-4208-a737-b68db5e09344}} ions in bulk {{formula:8733d2e4-6b47-4ea7-891f-b3396d17cbc1}} samples displays a strong axial-SIA with the axis sym... | r | f14fba3bf98c10c845437835a6a0a164 |
Specifically, given an input facial image, we first encode the high-level and low-level feature maps by the ResNet backbone {{cite:8a885f0937b5d117314d323127e84974ac1fdcca}}.
Then, we build a projection matrix to map a cluster of pixels with similar features to each vertex.
The feature of each vertex is taken as the we... | i | b8c32381f635b63fd31495bca0e04562 |
In this work, we focus on a quantum pulse optimization problem having binary
control variables and restricted feasible regions derived by linear
constraints. These constraints describe a so-called bang-bang control in a model
that corresponds to a quantum circuit design similar to that in the quantum
approximate optimi... | i | e4b6df5c00d310417f932cba9a2f22ac |
The implementation of the different CL methods is based on the one published in {{cite:bef85a0c86199dc39195f5c8e9cace148b55ea9d}}. For a broader reproducible benchmark of CL methods in wireless communication, we will publish on Github the SNR and {{formula:200ef24d-1fb0-4c3f-9dde-f7040f02cdea}} tasks as well as instru... | m | 98edede9f31d555bf7dd569c36b21f08 |
We observe that {{formula:bb2e4614-e0f9-403a-b259-fbcced837da3}} , thus {{formula:1acfdf5b-f579-4f95-9aa6-2b481a23820a}} is an atom with additional vanishing moments.
The same argument utilized to obtain the pointwise estimate that appears in (REF ) works if we consider the operator {{formula:9d119999-3624-438b-994d-d... | r | e105fabffc8b95c36d95588b3ed6433d |
Our results differ from previous studies of this system as we added 119 new HARPS spectra, making a total of 172 RV measurements. We also incorporated photometric observations. {{cite:028de7e9892ff5e3ab69f22688c1dffaac77055e}} performed their analysis with a total of 109 RV spectra when reporting on planet c. When anal... | d | a2df5858bb75fb1b6655bee09e43f8c8 |
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