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Multirotor vehicles, also referred to as multirotors, are becoming widely used in real-world robotics applications for their simple mechnical structure, agility, and low cost.
As multirotors are brought to new application domains, there is a rising demand to further extend their maneuverability {{cite:70596cfa2648f257d... | i | 75be5404b38e6d63adee68ade4ffc892 |
We show below that the brain neurons of crayfish act in critical states, generating neuronal avalanches on their dendritic processes and are self-organized. We compare the scaling relation with the BTW sandpile {{cite:c7f7c90f7c2b1ff07731fb15864d029b82af7c7a}}, {{cite:90e475d0e326c3c0cc021f840016b68e278ed930}}, the sto... | i | 051e9e0b27fef5e14590051a896486de |
Convex generalized linear losses. Our first case of the study is non-smooth DP-SCO in the case of generalized linear losses (GLL). This model encompasses a broad class of problems, particularly those which arise in supervised learning, making it a very important particular case. Here, our contributions are two-fold. Fi... | r | 8cd4ebc6b672408a41a19c5f551d197d |
which is often called system-matrix in tomography.
Here {{formula:9967adcb-5eef-455c-895b-001c6011128c}} has {{formula:de10ff0d-f2a1-4039-92d3-e89ef5a32fd5}} rows for the volume-cells, and {{formula:44b9e002-c0fc-4ae9-a342-e6617a93e405}} columns for the rays.
In our representation {{formula:af0f2250-5ee6-4289-82da-9... | m | f3fdcd522e2609395fdbfbc542c238e5 |
Although the random shuffle operation performs well on the {{formula:c5551ff7-11df-4eda-91c1-081a451cc545}} and LiH molecules, the performance can be further improved by developing more advanced shuffling strategies. First, instead of random shuffle, we can design a problem-specific and hardware-oriented Hamiltonian a... | d | 27b287f9a5094163b8b91d1e151f1205 |
The internal correlation
of {{formula:1e0c936c-60a0-43c4-9e0e-708c598d76be}} has been studied in {{cite:272ee91a35e24a637833ac8b0362839f9e6fbf52}}, who
found that the proto-halo of a {{formula:d64bb11c-9e62-40ab-9951-aad30d712332}} halo with high {{formula:c5ecd576-5c83-436f-9e5f-ece7def7537b}}
is usually located in... | d | 6bb05d77040d666cab8bf1ee09ba09e9 |
Our main idea is to include each edge of {{formula:490ce72b-8818-40b5-935a-aed24ab8c332}} in the sparsifier {{formula:d10e95cb-0c4e-4269-ad5a-3e4040d0e9e3}} with probability
proportional to its effective resistance. The effective resistance of an edge is known
to be equal to the probability that the edge
appears in a... | r | 86c6882a0001b2aa62e4d34b96e525b2 |
The main idea of word embeddings is that their representation is obtained according to the context (the words around it).
The words are projected on a continuous space and those with similar context should be close in this multi-dimensional space.
A similarity between two word vectors can be measured by cosine similari... | m | 0d26ce98fe5465e7ff164a627dd2b7f4 |
In the last few decades, the limits in accelerating gradients of conventional electron accelerators based on metallic cavities prompted considerable efforts in the development of alternative electron acceleration techniques. Hitherto, the acceleration of electrons in the wake of an intense laser pulse propagating in an... | i | 2b43a89daaa418c15ae482eac68fac76 |
Word-level Auto Prompting: Prompt search {{cite:6c490366c72ece4863ca63a6a614ea0e7224349d}}, {{cite:14127e6ec80f9b58e407b7e97a1bb25291da15e8}} is one of the most effective means of prompting large language models. To use word-level search for inducing personality in language models, we seek the most functional three wor... | m | c7316413d7cf2df93b114c53d7aef5a1 |
Most recent SSL methods, , MoCo {{cite:2ede64ec01c5cca205209a73030374d56fdfc38f}} and BYOL {{cite:8c2c6571b9c932db0916e4bd52307185cd2f8141}}, encourage a query image to be closer to its own augmentation compared to some other random images. Follow-up works have focused on improving the positive pairs through generating... | i | 3fd2f0e8ae5b8cb5c35120a82d157fe5 |
Using fluctuation theorems, we provided a quantum algorithm to prepare a purification of the thermal state of a quantum system {{formula:c989e3a7-2817-404c-bd9f-89e07233aa95}} at inverse temperature {{formula:1f328c90-b719-419c-9040-6973e83b3b66}} , starting from a purification of the thermal state of a quantum system... | d | d8be622e10b3d163cdbd3240259da1c5 |
We propose UniMix and Bayias to improve model calibration by tackling the bias issues caused by imbalanced distributed train and test set. We improve the model calibration and accuracy simultaneously in an end-to-end manner. However, there are some methods to ameliorate calibration in post-hoc (e.g., temperature scalin... | m | 2b15cc2e5017433e08eb261f45b90a0f |
Research on HPO of GNNs for molecular property prediction is still in its infancy. For example, the pioneering work of GNN presented in {{cite:284e2d86bd45935b56c4a900c1b950c17eeab538}}, {{cite:5b7b60c3d2948a664b74381b82855dddb8aeb2a8}}, {{cite:e176543f63464aef020e0c31157faf77deaeb091}} did not discuss the problem of H... | i | 80f530abad7a2fee4bd608e613e6ed15 |
We presented a comprehensive empirical evaluation of our proposal on the well-established MNIST benchmark dataset {{cite:483408cf9f847bb834540cf8c747a54dd5dbed1c}}. Results across ten experiment iterations found that our conformal loss function is competitive with ACP for approximate validity and predictive efficiency.... | d | 363ef7238112d76902df81c2498543a2 |
LIME can be described as follows {{cite:837f00ab10c4d465bcc8a8f96f46b5503507ae5a}}.
Let {{formula:e28f9abf-43d3-4469-9d1d-0347c81a8ba6}} be the function learned by a classification or regression model over training samples. No further information about this function {{formula:c8b1fc98-525f-4f3c-af9d-6498dacf17ca}} is... | m | caea2602ee17a39dad964c7370a250cb |
The environments tested are simple for the purpose of establishing proof of concept in using a global DNC model in the continual RL setting. The environments represent multiple tasks requiring an RL agent and predictive model to learn continually. In the directional path navigation environment, the numbered tiles chang... | d | b737b3bde89a4b70c38442b37109e36f |
By following the mathematical correspondence between Bayesian inference and statistical mechanics {{cite:250118797c19277bd13a8382df75f6830939dde7}}, {{cite:e9013dffaf47f36cea53676ecddd3a790b5af4b5}}, {{cite:4262a7e1ee626a3d78b746e9e5fb3c4f07f25ab1}}, the form of {{formula:0d0671e1-9c66-44fa-8a41-686a39e283d6}} is a "B... | r | 50c8efb29d35b96da0b507ce44757976 |
Moreover, deviation from the standard cosmological evolution is possible, as long as any non-standard contribution to the energy density is absent before Big Bang Nucleosynthesis {{cite:ecf1f6c123cd4345e912188f5cc01629d7d1522b}}, {{cite:ab49f9338e5da89aa74d04d5e36b32144a7b90f3}} becomes active; for temperatures {{cite:... | i | fc610b4604773dfed8960d5ea6138c4b |
In this work we have focused on modeling multivariate extremes and followed a proof of concept approach. We can use the same idea presented here for inferring parameters in other statistical models. In particular, non-Gaussian models for dependencies tend to be hard to estimate by using classical approaches. Extensions... | d | c0f06384b398d2e649aed048bd0f4b45 |
Stereo image super-resolution (StereoSR), aiming to increase the spatial resolution of stereo image pairs, becomes a growing research direction and benefits a lot from the deep-learning. Though remarkable advances have been achieved, convolutional neural network (CNN) based StereoSR methods {{cite:8e3493699f5cf6f6e693f... | i | 30e8279bd911d018a10fe19ac82ce0a1 |
We report the IoU scores of all the methods on the CARLA and KITTI {{cite:79eaf549d2e831aabe5ccde14f93dee645ede62d}} dataset in Table REF and Table REF respectively.
As we can see from the tables, SBEVNet achieves superior performance on both the datasets.
We also observe the increase in performance if we use both st... | r | cd335d8fcb06f0a4cc756f1d939cf7d0 |
At the multi-modal fusion stage, we utilize the early fusion strategy. Early fusion incorporates multi-modal information before an encoder stage and has the advantage of retaining finer local structures and neighborhood relationships. Opposed to early fusion, late fusion is usually adopted for multi-modal learning with... | m | 00438a0d9e27b8e47558202c5693370c |
Some simulation results are presented in this section with the intent of highlighting the strengths of the proposed system state estimation GRDS approach with respect to the state-of-art solutions described in {{cite:7f37938f303e719c272cd7436dced5c4f9f6b156}}, {{cite:b73493abfef722275acf7655313a5669502b5711}}, {{cite:0... | r | e99a4bb999503c3a106f9bc7b38c14c1 |
Before concluding this chapter, we would like to mention that
the connection between CM Lang–Trotter conjecture and Hardy–Littlewood conjecture was realized
long ago, for instance already by S. Lang and H. Trotter {{cite:44ae4e25b287ced110f60aa333c75f145b158ddb}} and B. Mazur
{{cite:c78aa9f5376e4dd6c77a5ece32adc45d955a... | r | e0d1062904502cb63c928a97954a3c83 |
To enable reconstruction-based OOD detection that is not dependent on a fixed information bottleneck, we propose making use of a trained DDPM {{cite:039631ecdd43c7d2a1fd87a87db2bc635f3788a5}} to reconstruct images. During training, samples {{formula:48ce89d1-ed30-41e2-ac6a-85eba968b650}} are degraded according to a fi... | m | 1dc9bdff0bce95a7ad2d872394fbdbba |
Visual understanding is an important research domain with a long history that attracts extensive models such as Mask RCNN {{cite:2cf5e5a2466ee392a8893f9028d382f31a59eb85}}, ResNet {{cite:a467da4ba20205426e83bffa127e48f575a550bf}} and UNet {{cite:7581d405fa963e4cb28f28865b62d8bdc1107143}}. They have been successfully em... | i | ec009eb2813b56cba8a531b1b24a36de |
where {{formula:5385c32f-afec-4e83-85e9-623a195f42dc}} is a temperature hyper-parameter for scaling the feature vector distance {{cite:b69ef286553368b1d256f7585187c29ab6f9e7cf}}, and is empirically set to {{formula:bf5d6f9a-9812-4605-a88b-b16a056c9758}} here. The patches are randomly cropped during the training.
| m | 784373d2490da147bb139d368b9d4ba5 |
Furnished by the above results, we can proceed now to calculate the central charge of the dual CFT. In fact, the Poisson bracket of Hamiltonians (as the generators of symmetry for the diffeomorphisms) becomes a Virasoro algebra with a central charge {{cite:10fb44041a588495d29e3a04178e0247457bc646}}, where the central c... | m | 7879b68ae4e611fc3eb25fabef43d634 |
Model Generalization: Recently, domain adaptation and generalization are very hot topics in the natural/medical image segmentation fields {{cite:2a4e7d3c85f180e34facf4211315f4c898ec2517}}, {{cite:2c0db663a4545f01f066c5bbe02f1b765405beac}}. But for the abdominal multi-organ segmentation task, there are very few studies ... | d | 2888993fd740f66dc34945ed39a1364d |
Unlike prompt tuning in NLP, the meaning of the uLM's vocabulary is not obvious.
In NLP, it is usually simple to identify how to define the verbalizer {{cite:adf3b2ff60a0f56664e56e595e6d7bce9ccf31e2}}, and often the verbalizer is even an identity function when the prediction target is the vocabulary itself {{cite:81cab... | d | 63613820157945097d8ee17908d7b004 |
Deep learning become extremely successfully in the last decade. The image recognition performance on ImageNet {{cite:47b0660d83a539822c5de176621c27c268b49d43}} has surpassed the performance of humans []. Google and Apple built remarkable intelligent speech assistant using speech recognition and speech synthesis technol... | i | f485f3e66027619b253f32a999442663 |
which improves the numerical performance. This is inspired by the approach suggested in Ref. {{cite:7458e532a420da94fc20ce9ca9e64b76304d1496}} for learning rational functions. Some care needs to be taken when drawing the initial conditions of this model, so that the atoms do not fly off to infinity. Besides working in ... | d | 186e0fc50864eb227d4a6213a7201927 |
where {{formula:dd3e679a-bb5a-4f64-a143-59e1d4074a01}} is the Gamma function {{cite:36f164ce00199fd15a4ae5aa6d6ee8fe4d317da7}}.
Figure 3 shows the shape functions for numerous different values of {{formula:f0daf51b-e1c3-47dc-a0c1-8a0647df904b}} . Note, that all positive {{formula:10794f70-299d-4618-8608-cc0ba1884191}}... | r | 5b0e859b699fa439a6ac2aa3bfaab512 |
Inpainting networks are typically benchmarked on Places2 {{cite:7c25357f523f25724cae71e37127a8e516e94f6f}}.
However, this dataset does not have high resolution images for evaluation purposes.
Instead, we will use images from the Unsplash-Lite Dataset, which contains 25k high resolution nature-themed photos {{cite:dd6bc... | r | e42ccbcda6392f51754d69e6767e9282 |
For the decoder, we evaluate the following approaches (1) Graphite {{cite:ad2e847da1862d016608b22cf86b12edf19b5cdd}}, which uses a simple dot product decoder after
GCN-style iterated message passing to transform the encoder output node representations {{formula:14e7c6e2-53e3-44cc-a270-30bdbce42369}} to final node repr... | m | 69796c3723bee4a0cdcb742de962e478 |
In Fig.REF , we explore in more detail the known
anticorrelation between the impact parameters versus {{formula:911f202b-6b37-43ff-9042-eaa2620550c9}}(H i). Considering only the high-confidence DLA associations from
the literature and the IFU-based searches probing large scale
environments, a clear trend seems to emerg... | d | 8126e71375a3d32a15084e12cb2a1c2d |
Intriguingly, the score of {{formula:7b6af89f-8d51-430f-bde4-7d8ac25192a7}} for our baseline mode parallels previous results observed in overhead imagery. {{cite:30c0916394a8cc8cc7a6c531e76769a3824b4fe4}} studied object detection performance in xView {{cite:049c7136dd7d464e7fbd370ff2343dc7e41417ab}} satellite imagery ... | d | 57698685742034d75e0d05d6cd2d8761 |
We have presented a method to assess the effect of weak and strong lensing on the estimation of the luminosity distance for a population of astrophysical GW sources, taking into account selection effects due to the finite sensitivity of a GW detector.
Since a realistic GW detector has a finite horizon, the probability ... | d | f91d87667939a7e830828fbc09b0928d |
Despite considerable progress, there is still a long way to go before fault tolerant topological quantum computation is experimentally feasible {{cite:2764030af7b08c080eecb77ee4a8d98bb7989ed2}}, {{cite:171ac399220547bd38ba71f8d5f088b0afeefaa7}}. Thus, there is a motivation to explore less traditional schemes for realiz... | i | 1ad2fd210f62875347116d5b3c50e053 |
(a) By 1.6.11 of {{cite:8b286f4b41521767049a466c20d925829501456f}}, in a finitely generated group, every subgroup of finite index is finitely generated.
Thus by the restricted-finite condition on {{formula:548b3457-c1d7-4b9f-aa85-54d9504ce0bb}} ,
all subgroups of {{formula:3fe4e7bf-7d7f-4023-a5d8-4d61b7bb1f7d}} are fi... | r | 400ace333db7c11ae1891085cf222091 |
In our study here, we examined a doubly holographic model, which from the brane perspective, described two two-dimensional bath CFTs coupled to either side of a two-dimensional eternal black hole, as illustrated in figure REF . While the bath CFTs are in thermal equilibrium with the black hole, the entanglement between... | d | 7851d4c12aef44a5a02970a2f9c4a864 |
When dealing with complex biological phenomena, there are necessarily limitations in the deduced models and acquired data.
To assess criticality via finite-size scaling, ideally cell density is varied by orders of magnitude. However, this is not
feasible in this biological system. If cell density is much lower than abo... | d | 9ebcf12d581f458cf1baba6de5425a2f |
where {{formula:f1e0001f-f5fe-47dd-a761-32d78bd62369}} denotes the number of quantum bits (qubits), spin variables {{formula:efc8f64e-4d1a-4b6d-8678-52ea30a9417c}} , and {{formula:19dd946a-d8d3-4e3e-96f4-065d785e55b0}} and {{formula:2d376fa8-6803-402f-9a53-989c5e9b95fc}} represent local fields and couplers, respecti... | r | 044254980f5077c96d87673a22f72de3 |
From the results in Table REF we see that our more structured method is the most optimal for extracting rules. MAP provides a coarse representation of the labels and enumerated rules with no parameters. It can express these rules better than LSTMs but lags behind our method. As the number of free parameters increases,... | r | 5a703ee4bfc4444f53dd723a8521889d |
Our goal is to learn common-sense physical reasoning in a purely unsupervised fashion directly from visual observations.
We have argued that in order to solve this problem we need to exploit the compositional structure of a visual scene.
Conventional unsupervised representation learning approaches (eg. VAEs {{cite:a074... | m | e12fa76c20a81df7d2d726f48082e651 |
A more detailed insight can be achieved from linear perturbation theory {{cite:2e0453728b052c8e25c1a8e4df534c24c094227c}}. It can describe the properties of structure formation, with respect to their sizes, masses and time-scales. Understanding these processes in detail is important in order to get a better view of the... | i | 00e05c85963f5c70505af4782c80bf9c |
In the study of compact stars in modified gravity, {{formula:a088799b-13fb-4ac8-98fb-150619085e84}} gravity has been intensively investigated so far, where the action is written by an appropriate function of the scalar curvature {{formula:69c8c6d4-9917-49fe-b65c-3e0be55001e1}} .
The existing studies formulated the mod... | i | 2761f8a63876fb0cec5c5bb7c98b4543 |
We compare the searched transformer with two CNNs (ResNet and ResNeXt) and the state-of-the-art vision transformer Deit {{cite:d4e0bc5427c6243bf1a10c74a7149eef83182bdc}}. Table REF shows the results under different computational budgets. The results for the existing models, such as R18 (Resnet-18) and R50 (Resnet-50),... | r | 465cbc92cf34b66686a0c5b6d541ebd3 |
Table REF shows the quantitative results of our proposed method on the KITTI Eigen split. Note that {{cite:814085d224003a7f5aca7ced7a2e6486632c4225}}{{cite:862409ef291c1a2316f8c9b6833b5168ff2d6177}}{{cite:f45ce30e6bca186f78040fd05024cf07ac955793}}{{cite:ff9bcad90ab6d72636b45828414193b077189996}}{{cite:ff32a7ea8f5806c1... | r | 658eb075b39e7c81e0de1b639773f355 |
Learning approximate equivariance has been recently approached through novel layer operations {{cite:a280f146edb36a77c1fbaade6925df65e7427153}}, {{cite:aa07877d9f8c6776c7da0812325dc78d1953820e}}, {{cite:4116d97dd46514fddc4d3b93fa00ce328ae9bfff}}, {{cite:9f4b75788333c940618cf3b85d2f9ee4412e7a4c}}, {{cite:5b8b6669a954932... | i | 698bcdac938c3c146fc755691235cc26 |
Where {{formula:f128e360-fd9d-4a51-8083-f508d020dd86}} denotes the element-wise multiplication and {{formula:ef505929-4009-4fbc-8a9d-f2026b3c80db}} is a Gumbel-Softmax {{cite:c294709fe004a4aa0ce6c6197803265088b592e0}} function to obtain the spatial-wise soft attention of the basic adaptor activation {{formula:f09d1d8... | m | e9819e5d1eed5cfa32c74a22f16d3c9d |
In the numerical calculations, for the concerned models we also consider the constraints from available experimental data, such as the most stringent upper limit on the sum of neutrino masses by PLANK{{cite:c4dcb149b4dcb8c249f71c08db30262566496cf9}} {{formula:e3d872b2-c357-47ae-9a29-0a842fda7d67}} ; the neutrino mass-s... | r | 56238227da3a8d1f58778f2eba6de2b9 |
The Liquid Argon Time Projection Chamber (LArTPC) detector is a proven technology that has been adopted by many accelerator-based neutrino experiments, including the Short-Baseline Neutrino program at Fermilab {{cite:05a7da8c512d4d90e5e529ba8ab0908a2b4ad0e9}}, {{cite:ff6feece19a0614271d86dbf66218637df58d64e}} and DUNE ... | i | e0fad9b321f8c210a5667a9ea68a37ce |
Recent blind MFSR approaches, on the other hand, utilized a fixed kernel to upscale every frame {{cite:14b7f9696e2fdba6db02550a1c218359fb8dec81}}, {{cite:f56d0357520e4f5f7bbfb6d810806509735cbb2f}} in the same video – we hypothesize that this fixed kernel assumption can also lead to kernel mismatch.
Therefore, in this w... | i | ad353887c89ee69c005444f1d3d77bdd |
In this section we will survey some of the complex-analytic ideas that play a decisive role in the theory of (multi)critical circle maps. Since these ideas are quite deep, the narrative to follow is by necessity very sketchy. For the general theory of complex dynamics we refer the reader to the books {{cite:cc06b8f75c9... | m | 62a8ed159b3d48a282ecbb4b40164acf |
Reconfigurable intelligent surfaces (RISs) can enhance the system spectral efficiency (SE) with low energy consumption and deployment costs, which is believed to be a promising technology in next-generation networks {{cite:3ae1478399a7f71fbfb31d4e7383cae8a8e63c14}}. Specifically, by properly programming its adopted pha... | i | e100c807569491e24b4010fbc8f242d5 |
The communication modules for multi-agent can be divided into two types: integration module and recurrent model-based module. The former involves centralized communication, using a centralized network to combine the states for all agents {{cite:89141d9aebcdb0b815b1a409afccd3d7421e0d0e}}. For example, Targeted Multi-Age... | i | ae4db4978ce7824d8628942415cfbf2c |
Our NoisyTune method also has the potential to empower other PLM finetuning techniques.
We compare the performance of the original RecAdam {{cite:239e0aa25d262bd3e01264397325eb2bfebada2a}} and Mixout {{cite:533c974de077a97bc398f71b4f5013bd50cc369a}} method and their variants combined with NoisyTune.
The results are sho... | m | 4465ff049bed4a49d65c41d756b00d0a |
Let us mention two key properties of the Tikhonov regularization, which we will use later in the analysis (see, for instance, {{cite:4da0c6ce95aa69fa516139b66e5431814bbe732e}} or {{cite:555aa08283048c09bf45055448a1d55f5dbac6b8}} Theorem 23.44 for its classic analogue). First let us introduce the strongly convex functio... | r | 8872803f79289df1ce6c20aba19ecd58 |
It is observed in Table REF that the classification accuracies of all deep feature-based methods are generally poorer than the perceptual hashing method, OSF-DNS, for both datasets.
The reason may be that occlusion leads to a distortion of the face embeddings obtained by the convolutional base of the networks, which m... | d | 8876147577333eb839253449bfde48bb |
PPO {{cite:ed727cbf82f603ea41f8ad2f5d4fcb4d99161b6a}} is a model-free deep reinforcement learning algorithm, which has seen a broad adaptation in the literature as a strong baseline.
For our experiments, we rely on the PPO implementation as provided by {{cite:1b14644ecee1d372c57f0969f639db959f77905d}} {{cite:1b14644ece... | m | c1bdba0ee92b0bf859d01bd98ce6883a |
The proof is similar to that of Lemma 6.1 in {{cite:c11225fb129644243cd375e224de5515dfe3337d}}.
| r | 65273143362dbeb8d97bb08a2951dd30 |
Table REF reports the accuracy scores for several pairs of languages. Although SWOT-Flow has not been specifically designed to perform word translation, these results show that its overall performance is on par with the adversarial network (adv-net) proposed specifically for this task in {{cite:ca335ae411fdb2fd67fdcd3... | r | 8a7878437fe4d7eb00930a498ce3b803 |
The time series data available for the cryptos is subject to numerous limitations. The most important one of them is that different coins were introduced at different time points, therefore, the data available for each coin has different lengths. For the clustering problems {{cite:532921af62bdaf29f7732ae65b5600d55f5fc6... | m | 7d2157e511d9b0e730770bf7c907cce5 |
blueQ-learning is a fundamental approach to RL but we also experimented with other state-of-the-art model-free RL algorithms, such as PPO {{cite:b7b50940cc0aee4b26f80031883e02f11201a546}} and its predecessor, TRPO {{cite:5c0abce6f1ae7199ab6e52d5c1106fd391a09e15}}. Table REF summarises our experiments that show there i... | d | e15d0d7ddec627f36d4a6e444e47a2cb |
{{cite:27429d92a7134642d2da77fe583e6ab2dcff6ab0}} suggest that bursts igniting in a relatively hot neutron star envelope leave a substantial fraction of unburnt fuel at shallow depths. This fuel is brought down to the ignition depth by opacity-driven convective mixing on the observed timescale of minutes and produce a ... | d | d5ac5734355f149e1ef2b045c05a9a8a |
Table REF shows the results on ImageNet, including top-1 and top-5 classification errors on the test set, number of weight parameters (millions), and search costs (GPU days). Following {{cite:d4562029a3c8e3967e294eb36bda583c9c5fd891}}, we take the architectures searched by SGL-DARTS-1st on CIFAR-10, by SGL-P-DARTS on ... | r | 6d2e2b3be56bde2865787bbb7fd621f5 |
The spin exchange interactions, including Heisenberg and DM interactions
{{cite:138ce8b54790d3e0574fa31989c88094d348676c}}, {{cite:df5c51f198734254ea74d2e50d8fe67f40ed5026}}, are calculated using first principles based on combining
magnetic force theorem and linear-response approach {{cite:5b48af401ee03cf7e6f65adc595cd... | m | bd569c48a72b7ecd878a6414d5feffa3 |
Unfortunately, the converse of this theorem does not hold. A counterexample is given in Chapt. 10.6 in Jonsson's book {{cite:4b5731d619d5d69b0821b5f69a1bbad62bb863e4}}. Nevertheless it turns out that some tools of the topological approach to evasiveness suit as well for a topological approach to {{formula:1282d63e-a683... | r | b8b350b9e300ed34bcf54b923d04707d |
The main goal of this paper is to establish the subinvariance of uniform domains in suitable metric spaces with respect to quaisymmetric mappings, freely quasiconformal mappings and quasihyperbloic mappings. We start by recalling some basic definitions.
Through this paper, we always assume that {{formula:10625a8a-0dc9-... | i | 82f2caa0b928aecf5426a193e9d8b01d |
The availability of a relatively big parallel
dataset for formality transfer has made it a go-to task. Extensive
research was triggered by {{cite:775d06e95233e21cd7ec7c8e13d0033e2ad091ad}}. They
benchmarked the performance of phrase-based and neural machine
translation with respect to this style. Following their work,
... | m | 57dab05d737363eac4e4740f8dd14bb0 |
We state that bulk {{formula:10800a21-6631-44fc-987b-d732e01e7a2d}} NiO{{formula:ccb65f83-0c42-4bc1-97af-751bf38fdb3e}} samples show a universal spin glass behavior, without any sign of long-range magnetic orders{{cite:dd7a01159755fcbdd7ab349005fd249fa2470c81}}, {{cite:2e3f3564f82a5466a8049d2057f12e79f4154362}}. This ... | d | aceb771b6944e0c627c2d570d8eb5320 |
Broken trajectories and occlusions:
In settings where classical keypoint detectors are unreliable, one can either use state-of-the-art pretrained keypoint networks, like SuperPoint {{cite:e9dfc9440d91d8fb810d48de8600040a02da774b}} and LF-Net {{cite:b1b554e44928ff0ef3ba8da51d1e88e8ad7ba2a3}}, or pretrain an unsupervi... | d | 92cfbecff8d9e18dc5ae6df40da775d3 |
Next-Active-Object Prediction:
Our method is designed to accommodate videos captured from a third-person viewpoint as we need to have a view of the human joints and the surrounding objects. The most related work to ours is the work of Dessalene et al. {{cite:fe3f44a0a95d4e2aee36a6e0498a2ae16199e347}} which is currently... | r | 5d80a15f0d9fe975e81234191c18c62e |
Some exciting applications that fall under the scope of intelligent code analysis are vulnerability prediction {{cite:511495c82a8e0e5efdce912834faae3a2064b437}}, {{cite:e803882413ac37263c996b2b088f0031a6a5cda0}}, {{cite:733fd3291180aa6418b5aa13f6354842f39cb0e9}}, semantic-based code search {{cite:28f143fb9989dd273c8823... | i | f21537e332a49141265e71bfdd7ebf59 |
The first characteristic is the invisible agent. The struggle against
corruption targets `invisible enemies' that deviate budgets from education,
healthcare, etc. – “they are often difficult to discover,
to prove, and to punish. Such crimes are usually committed in secret, by
powerful people, and with some degree of so... | d | 77d82e68147b11968d163ea960a25df2 |
In these papers {{formula:6c0d1287-4f8c-4750-9856-aa0c86d73530}} was defined by the method of “combinatorial quantization", which yields presentations by generators and relations given in matrix form. Assuming {{formula:815b7db4-1432-401e-bce2-9d6bec6ec0ac}} has one vertex and no edge contractible in {{formula:a8b6f0... | i | 6512fd1eb2e9684c346fcab97b93be2f |
The irreversible deformations that we observe happen under persistent stress at slow rate.
They occur at very low stress, significantly below the material yield stress: the typical values obtained experimentally for the local stresses are at most {{formula:a1ffed4e-cd21-4a22-9d12-ecb5b7780957}} .
These small local stre... | d | b6c0cfe5e662049ab2ca802325ffc8d3 |
The PASCAL dataset {{cite:4b72fcc6aaf78e61e9a835ba4290dfd1a77d821d}} is a popular benchmark for dense prediction tasks. As in {{cite:f14335fcf3a23259880567310c42b691b54c3ed1}}, we use the PASCAL-Context split {{cite:09da0c880c63c24ae7ccb0587b2daf210b92680a}} that has annotations for semantic segmentation, human part se... | r | 88005bb429f6d134f5a6581af6640ef6 |
This should be compared with analogous results for random walks.
Under finite first moment condition, a random walk on a hyperbolic group almost surely sub-linearly tracks geodesics from the basepoint {{formula:66147687-6083-4dcc-9d7e-c27cbd0fa50d}} to the limit point of the random walk in the Gromov boundary.
We refe... | r | 83c5a5e7866cb2e2ecf6bd4e3434811e |
In recent decades, hadron physicists have expended great effort hunting for evidence of the multiquark states. Since the arguable state of {{formula:ff804d5c-0783-4fb0-9660-e0c512c788d7}} (1540) was proposed as the first observed pentaquark, tremendous progress on experimental and theoretical explorations of the multiq... | i | 3dc345ca98eb0b78d79fb901f6a7d415 |
The (scaling) dimension of the operator {{formula:6ebc208e-8402-4a26-a1dd-11d898cc0512}} is thus {{formula:f876e1e3-e03e-49bf-a691-97993d63366d}} , coinciding with the engineering dimension {{formula:e13a90ff-8cd3-4003-a7c3-6252d3043701}} of its top term. The lower powers appear due to the tadpole corrections. At the... | i | 68a1f84001daf0182fc8f97a3515026e |
We generally discuss the whole distribution of the FPT and its
asymptotic behaviors. As said earlier, the short-time asymptotic
behavior is determined by “direct trajectories” that go straight
from the starting point to the closest point on the pillar
{{cite:7553a2d7d8a156249aaf7b0ad240b4cbb82a092d}}, {{cite:998cb11a32... | d | 9e0249d36dc7c2c6f7620ba37606bc25 |
Synthetic adversarial patches: First, we create synthetic robust feature level adversarial patches as in {{cite:f7bbb96854c9bf8c5741947fc70eebf3c61bf489}} by perturbing the latent activations of a BigGAN {{cite:b4855261b54685d37daeba1849d114ef14622160}} generator.
The synthetic adversarial patches were trained to cause... | m | 994fd873870c5a6c747f0b8b033d9b9b |
3D Proposal Recall:
3D proposal generation is evaluated using 3D bounding box recall at a {{formula:55d9e121-1096-4aad-b15a-513e19bd408e}} 3D IoU threshold. We compare three variants of our RPN against the proposal generation algorithms 3DOP {{cite:412144720da765534af64177f8fddb959e1ab855}} and Mono3D {{cite:1a8fcbc71... | r | b51ee96162a2f0e1f6bcbd3e6509f909 |
Based on an analysis of an {{formula:efa594ef-ab59-4965-8291-75d46f59d3d2}} data sample with an integrated luminosity of 2.93 fb{{formula:6bfd67b1-8eef-450d-a4f8-f7bedf219104}} collected at {{formula:d7b563c2-b107-4a00-9105-dfbb0759969c}} GeV
with the BESIII detector, we measure the branching fractions of hadronic {... | d | 4774a48a10332b42a392d3e15a5af3ae |
Furthermore, we show that self-distillation on this baseline provides an additional boost. Self-distillation is a form of knowledge distillation {{cite:1533dde8803a12aa7997cd7fb310b56f3ff43790}}, where the student and teacher models are identical in architecture and task. We apply self-distillation to the pre-trained n... | i | 865e137ef4861c5a8a618c7604b3e368 |
4th order quadrature with preconditioner {{cite:ad11ac80f33363733b2f767677fa0fc6279d8a24}}, {{cite:f461dcc5f8801303fa746423c76a597ee5dec38b}}; see the Matlab functions quadrature.m and weights.m in the supplementary material.
Wiener-Hopf method using the sinc-based fast Hilbert transform with no zero padding. In orde... | r | 0f7f4c55e666a515ba1cd819306f76bd |
A very interesting observation made in {{cite:087fc6232adaf817c929284a75ebf5c3b30ebaa8}} is that the coupling constants of Chiral Theory determine a certain (kinematic) algebra in the light-cone gauge and the product in this algebra is a remnant of the star-product. This statement covers all vertices. For the FDA at ha... | d | 5c92aec1e5ea2cc86a9c441c4c6f653d |
In fact, the likelihood principle is still applicable under a rather mild independence assumption that, at least, approximately endorses some distributional characters upon observed or computed recurrent events occurring along with the time series. For instance, ({{cite:ecf80ea3119a292408fb95746d03aac5ad72045a}}; {{cit... | i | 36a68cee989103b0d6bf98b6e823bec1 |
In this paper we restrict our empirical investigations to IRM and ERM under the settings described above. In this linear setting, we present the ERM results through both the analytical formSimilar to {{cite:8d0281a255d91f3787ba2f36869cee8aa1f0494d}}, we use an off the shelf scikit learn solver for this. and SGD optimiz... | r | 5f5c83fbcd0a015c890978f96e60e27d |
The output scores of MultiXrank can be used in a wide variety of downstream analyses, such as clustering and embedding. For instance, shallow embedding methods need similarity measure for the optimization of the loss function {{cite:64d2ab745164d8af42e497f6124dcc3dab0e38d8}}, {{cite:034f2d7e902c6d01e31f511919544a341ebd... | d | f5aa1bfcd83d0884927ed01af6c747c8 |
Using this formula for {{formula:1c348739-f5f6-40f0-b5a5-07205134c3d6}} together with {{cite:23fee3e2df7e58196255ed91ab04274a07a0dc62}} gives the polynomial
{{formula:b410e99e-5561-4899-b78d-51580357ae4a}}
| m | 5b370b14e15a27c85cd2707cfc153ae5 |
We found that image regions contain information about their spatial position relative to the lens, refining established assumptions about translational invariance {{cite:5602882bd2631bca79bc98ea20498bddd9624df3}}.
Our network has automatically discovered various relevant clues, ranging from subtle lens flaws to photogr... | d | a87de69cfe74a155a93bb5ed80c1e0b1 |
KL divergence-based loss. This loss utilises the different ranges of the built time labels in the dataset. Intuitively, an arbitrary pair of predicted built year must have a similar relationship (i.e., the closeness) to the ground-truth built time, which is not as straightforward as computing the distance between two s... | m | 8a5a74d2ffa1d502270774e3a2ec80a9 |
As above, we show that the family {{formula:a5047a7b-105c-4a94-baf6-1bc2c4978c49}} for {{formula:e64843ae-e3fb-4053-9280-2ee40ff2e25f}} given in Definition REF is generic in the variety of {{formula:76bed4d3-91c8-440c-b927-88455f8b10ff}} -dimensional commutative nilpotent algebras and inductively give an algorithmic... | i | ddeb075bc8af85ed1fe14fd4dd095d65 |
The paper is organized as follows. In Section 2, we will first discuss the salient features of the bottom-up magnetised EMD model of {{cite:c4ede254e675679f70ca5ea2105d1f4c04cb28b5}}, {{cite:6e0b2dad11dce517e34804bbfb95496723399f23}}. We will then discuss the free energy, entropy of a quark-antiquark pair, and entropic... | i | 7c0eef2c212fcaaf47fd891bc8ccf721 |
The same applies to AB, with the exception of the inclusion of two dice losses {{cite:3ff566237bcce36e193076dd269db57023ea1c82}} on both transferred outputs for the segmentation task to impose data fidelity:
{{formula:7688d798-9a2c-4193-845c-61406ce70f3e}}
| m | 85cc0523bcd3278025a2669717a835e8 |
In its current form a CAT makes specific assumptions about the conditional dependencies between actions (Section REF ). Following {{cite:e590aafa4e824730465603ae1cd3f0f58b722265}}, a potential future research avenue is to explore the possibility of modelling more complex dependencies. Namely, by contextualizing further... | d | 5fbdcb4c9ace73bd5c91a7bedea199ce |
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