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As mentioned above, global FI measures can be agnostic or model-specific. A global model-specific FI for GBM can be derived
by evaluating its individual trees FI and averaging them across all trees in the ensemble {{cite:d3c7d69862afb05374ee56dda37c9a52ff2595d2}}.
Given a tree, there are many methods to interpret how i... | m | ac02eb84d4d89def3b484c989ebfee0f |
In this paper, we have developed the Layer-Peeled Model as a simple yet effective modeling strategy toward understanding well-trained deep neural networks. The derivation of this model follows a top-down strategy by isolating the last layer from the remaining layers. Owing to the analytical and numerical tractability o... | d | f6f85d671eb7fe40b3b29f4d5088b861 |
In Einstein-Aether theory there are scalar, transverse vector,
and tensor perturbations, whose propagation
speeds {{formula:6306ed29-423a-4634-9002-c8a13a20fc48}} , {{formula:9c8b888b-5a1a-43e7-a30e-af5accc45a6d}} , {{formula:b79a4650-07ad-4724-a9ad-9accb6e92b8a}} on the Minkowski background
are generally different fr... | i | ea9297f8a828c4598bf6ef426f667d6b |
Gaussian process (GP) is the method of choice in the popular PILCO algorithm {{cite:c80c0e7075bcb1a392408516b077bc5343d56dce}}. On the modelling side, it cannot handle non-Gaussian (multimodal or heteroscedastic) posteriors and {{formula:ff6e11ef-23cf-4a58-81fe-ba834a790919}} -interdependence, failing Req REF . More im... | r | 77f05d3cdf3d3ac6f31fd8ed42e91a5b |
We only considered the cases where we have not access to {{formula:953d4f15-60ec-4fa4-a4b8-49f48d437c6a}} . However, there are ML applications where we do. For instance, in computationally intensive numerical simulations, for physical sciences, economics or climatology, some models are run on supercomputers and can tak... | d | be70956d9679f7ad04f5f3353e90bf26 |
Another approach for investigating the properties of the strongly coupled theories at finite temperature and chemical potential is via the AdS/CFT correspondence {{cite:fdb497c6689bac9d692099bc7813ca5111aa36f8}}, {{cite:0511b751ab7299c5f00d097a33ff945ef2e45922}}, {{cite:70c0421a29337f6d51762217077142117bfa888c}} which ... | i | 818e98b4b9db2f6434bb921222de6c08 |
Researchers switch their attention to the robustness of deep models as they now achieve high-performance results on clean/in domain validation sets.
Previously, the object recognition {{cite:fb3c2df23f49135b2e8a4545f75929083864b381}}, and semantic segmentation {{cite:b786f2b6d0240cea7fd9b1f4d98175aa28b47ebf}} tasks are... | d | 7d8f4e3d730626380a5a9e47dba1096f |
where {{formula:67f97c02-6e6e-4583-94bd-6478aa2c88d2}} is defined by using the equation {{cite:20d67d6eaed0d36bda7b9bed723ac5de4927e02c}}
{{formula:43046ac5-2ebe-41f6-8c54-45e8702353b2}}
| m | 3b35c3bb9a6dcd557f705c86e9d43a20 |
Finally, it would be an interesting issue to study the dynamics of kinks and bound state solutions of the model (REF ) in the context of quasi-integrability, which would be relevant to the study of the quasi-conservation laws such as (REF ), and the relevant quasi-conserved quantities in the so-called (quasi-)integrabl... | d | 1a852bca3eddec7f0297bea062176ed5 |
Methods of solving the Kohn-Sham equations {{cite:69f5822f2bff3105c6e60e6bfdb777d3355d8e76}} in average atoms typically involve numerical finite-difference integration schemes like Adams-Bashforth or Runge-Kutta. A largely unexplored alternative is to use basis functions via spectral methods, where one solves a matrix ... | i | 1df230e2ff38898fda947e0a89b8ac9b |
Noise-Limited Regime (NLR): ({{formula:c52e37fc-0341-4342-9ddd-09822c44db0f}}
in Fig. REF , Fig. REF
and Fig. REF ). In this regime, the
typical MU is likely to have a NLoS path with the serving BS, see
Fig. REF . The network in the NLR regime
is very sparse and thus the interference can be ignored compared with
th... | r | 26558b16820092cc709c13d74c601779 |
Object detection {{cite:e0b84551dbbb302ed7f8fbcffc8930e9cbd427be}}, {{cite:54e7c519bc86f3ed10e553f487bbfffae00c1622}}, {{cite:99debd81591233b2435dd94dd2d658fb63643b75}}, {{cite:4fe5664cac3cab2c2e6739fcf6b5fcf271b9440a}} is a core task in computer vision that has considerably advanced with the adoption of deep learning ... | i | af33d8cf99117b3ea0f24b13f3050267 |
Sparse voxel-based methods quantize the 3D points into sparse voxels, and then apply 3D convolution operation only on those non-empty voxels to reduce computation and memory cost. Minkowski CNN {{cite:ccf34a510156aabc8f220bb4c4c9261e49b9c98e}} is the first efficient sparse voxel framework, and it surpasses all point-ba... | m | 7f0334ef574b4ba9b2998d48eef759b2 |
Aspect Conditional Masked Language Model (ACMLM) {{cite:52611a7b9cccd6bd89cac42512fb53fc310f1b84}} is a fine-tuned BERT {{cite:c46f261541e4a4e92419df177d8d59f654ad04e4}}, where an attention layer is introduced to encode the features for both the user and the item.
By predicting masked tokens, this model can produce di... | m | 5b5368f7f78fd9057d50d9138731840f |
The present paper constitutes a generalisation of the holonomy groupoid constructions in {{cite:a5a7a6a2bf574095ef0c37f28022222489206689}} to singular foliations, and is inspired in part by the recent work of Garmendia and Villatoro {{cite:7078f5a5c0d43cfb50f13262fca814ac7d216e13}}, who showed how to recover the Androu... | i | 67f477beec655d0aec0312c235ff70ad |
We note that, in general, for loop calculations some care is needed
when using dimensional regularization. To take advantage of the
spinor-helicity formulation in a one-loop calculation we need to
choose an appropriate version of dimensional
regularization. Specifically, instead of taking the external
polarization tens... | m | a82dd7ab3ddad1e99cd4fa66d910a33c |
The pattern formation mechanism presents significant advantages; first and in contrast to classical chimeras, the generation process is robust to the choice of initial conditions. Secondly, patterns that follow such a global instability principle are known to be stable and not transient, which is also observed in our n... | d | a8bb86a5f92d0fadb2dfe937dc034793 |
Take {{formula:4786635c-1c2e-4ea4-a1bc-3db3a76b4b45}} in Lemma 3, pp. 161 of Blum, et al. {{cite:63d13a867758b85fa134310ad906f9f9b8688dc1}}.
Also, the following auxiliary results of elementary convex analysis
will be needed:
| r | 4faf6c23a79aab4676ebba48f31db45a |
We now turn to a 2D S-TI-S junction with helical magnetization depicted in Fig. REF . The helical pattern is given by {{formula:9a49e473-8d20-4af2-ac0f-fa56e991e11b}} , where {{formula:468dac88-e541-4087-8ead-a6fb20ffddaf}} and {{formula:e962307e-2fcd-4bb2-a0ec-457b96933cc3}} determines the actual pattern of the magn... | r | 1444cbb9406190cc1754698b6f4396e1 |
We have hence seen that we can design a quantum Hamiltonian simulation algorithm
which hast time complexity {{formula:e9afe83a-8f61-4d8a-911a-a54efc2058f6}} even for non-sparse Hamiltonians.
The algorithm relies heavily on the access to a seemingly powerful input model.
While it is questionable that it is even possibl... | d | 6671c575da06b6266a9cf1b7c755b640 |
On the other hand, CeCu{{formula:bcb2378a-6127-4dce-b37a-5db4d9ba5d4d}} Si{{formula:f625f354-b3bb-4bad-a245-7261cc48a58d}} , CeNi{{formula:e5ccc89f-8ea0-4cc4-be24-469e45f8cf99}} Ge{{formula:91ecaf06-9e33-40bf-95c1-c54cf704665e}} , YbIr{{formula:f61fbea2-adbc-4272-abb7-5a71d4dddc09}} Si{{formula:94aa0ca0-0772-4a85-a3b5-... | d | b3190d09aed99b8711142193feeca3d6 |
Our lower bound is incomparable with that of Fung et al.{{cite:928230e9b89de7eedde2e6b28e1eb756013a51d7}}, who showed that for
any constant {{formula:7297d1ec-8e79-4363-af28-99591b24ff7d}} , there exists a graph for obtaining a
factor {{formula:b54d3580-7d62-43fa-ab76-5f4bc1943b33}} -cut sparsifier by averaging trees r... | r | 899addb07b3b04b8c90444dee84147ce |
Since it's preferable to have more than one criterion for the difference between the two corpora, future work will focus, particularly, downstream tasks to confirm this {{cite:5b2321901e5fc3fbe31c1a2290e0c8e5876ca43a}}, {{cite:a5bf5fd6a8dd509c68775b70b099bbdc5d26f509}}.
Implementation without using the pre-processing s... | r | 3b6c8a60e9ce02e82b0c3d835b805683 |
In this paper, we show that Spiking ResNet is inapplicable to all neuron models to achieve identity mapping. Even if the identity mapping condition is met, Spiking ResNet suffers from the problems of vanishing/exploding gradient. Thus, we propose the Spike-Element-Wise (SEW) ResNet to realize residual learning in SNNs.... | i | 87bbbf5c28d2f1379675f8a23f1b98d4 |
subject to the boundary and initial constraints in the last three lines of (REF ).
The computed solution to (REF ) is set as the obtained minimizer.
However, due to the nonlinearity {{formula:726fa127-6f23-4088-8c21-161e9553e122}} , such a functional is not convex.
It might have multiple minima and ravines.
Therefore, ... | m | ed12c79c941687291ec75dd9a1f6fd9e |
where {{formula:ca1378d1-feb2-4915-829f-6d35ec66f794}} and {{formula:5240b222-0740-4802-a2b4-d3d0a6cf5397}} are the retarded and advanced Green's functions, respectively, and {{formula:ab057b5f-fd5d-4a17-b300-5fbb1d3c55f5}} and {{formula:f1db7192-9883-4854-a7d3-866513477aa8}} are the coupling
factors. In terms of t... | r | 9ffe697fc01a0d1050afa553970481f4 |
In our experiments, DIP-GM is the proposal based on our MILP model (Model REF ) of the graph matching problem. It stands for Deep Integer Program-Graph Matching. DIP-GM{{formula:b029e86c-f085-40e6-853d-7cc9ded16ea0}} is our proposal based on our topology-relaxed MILP model (Model REF ) where topological constraints ar... | m | 65b04921521db4f583aba1b7e5c3549f |
RISs mainly are planar and rectangular, tile-resembling
devices whose physical characteristics, and particularly their permittivity
and permeability, can be engineered in real-time to obtain a required
macroscopic electromagnetic behavior {{cite:09d52f1cbe4d6b04b97e19f5301ac3e163c36392}}. Thus,
when a wireless wave emi... | i | 35b2172bbd685c4b9abfd578ea375444 |
In the recent years transformers {{cite:cf58472f6dd8e8e6bff0fcff618f6709d7c61ec0}} have shown to perform strongly in the field of natural language processing. By solving the problem of long-term dependencies and effectively paying attention to the right words for the context, very impressive transformer-based language ... | i | 6d2f697e26c75b98c0f2d5abb330cdc2 |
For nonlinear functions, some formulas have been proposed to calculate {{formula:c64e0e2c-f67d-4615-988c-3c014eaf5cc5}} have been proposed (for further details, see {{cite:179b7cacc98156d25b73bf55fa8cd42cb2f9e3f3}}).
In this study, we use the following formula for {{formula:41e9a730-42ec-4f96-9c00-c7eb88a6b83f}} prop... | m | 9123705ec7132a8f6b13631bf37010b4 |
We have run {{formula:394967d5-ed1a-4e1b-ba04-6a9849ae7223}} -body simulations of star clusters on circular orbits about a point-mass galaxy, using the GPU-accelerated {{formula:15b34060-024f-4324-b435-2b1a74ebb10c}} -body code, nbody6 {{cite:6d21fb8d5e2cf3d3a3d0ae566f3f71dfbb864a6c}}, {{cite:4e85f95d07f42ea5802093ff49... | m | bd595e548f0fad30822de42769bee62d |
We also formulate Dark Experience Replay (DER) {{cite:4bd93da94ecad51802520759ca8d41740a98fd7d}} for UCL. DER for SCL alleviates catastrophic forgetting by matching the network logits across a sequence of tasks during the optimization trajectory. Notably, the loss for SCL-DER can be defined as follow:
{{formula:a7d72ba... | m | 40a583b4f4e08aaffc9aabf2c4891e77 |
Our analysis here supports the findings by Madry et al. {{cite:7db885fcd509f8528f357a9920ff23ab4a88c49e}} and Bubeck et al. {{cite:4d35b2e1f8bdabedfa99f53f2487dbc3112a9137}}, {{cite:e5eaeee5cef7cefb8594d78b46e6e98ce188d837}} with the caveat that Bubeck et al. 's analysis is based {{formula:107c30c9-f9f0-4574-aa64-bff... | d | 7b57796154759dbe6e98ccfc58c47a25 |
Besides masked-based explanation, there are other
causal explanation methods, e.g., LIME {{cite:88cf4ab51c594489448eb594664ed91fbbb197ed}}, Kernel SHAP {{cite:a44c29c666236ad478bb14405d78c659589f7a6d}}. They are regression methods based on super-pixels. As such, they produce coarse-grained explanations.
| m | 1c7069e7cd79aa65010ee6d24a0c50ad |
Specialization to the bipartite graph alignment.
When specialized to the bipartite graph alignment problem, the proposed Algorithm AttrRich provides an alternative polynomial time algorithm to the celebrated Hungarian Algorithm {{cite:f6b98e6c609ca7dd1cdf717faae63decbad05b1c}} when {{formula:22b84ff5-70e0-4bba-bb96-d4a... | d | 724fac28ba95657a0027310227824bb0 |
Within certain modelling frameworks, classification of time series is well established. For example, within an ARIMA framework {{cite:0941e24d7a385e23d2746725e8f543acf5b23cbf}}, or within a state-space framework for exponential smoothing {{cite:671961db23d37a6e2fe98d1d84150d6c95bb2a15}}, series may be classified, for e... | m | 4da98c6855d5d255ca4d2c32ddd7104e |
Memory comparison and speed-memory trade-off: In table:recontablesynthetic and table:recontablellff, we also compare the memory requirement of our method along with our baselines. For SNeRG {{cite:2d2816478a9882fa6d07b660eac46573fa5c4115}}, NeRF-SH (PlenOctree) {{cite:2f309db01cfaabc65c05fcc74f100540ce348721}}, FastNeR... | d | ab74f809c9bc0171c923a9f7a499908c |
In {{cite:9747f1c4b067715c24fec43319be72e274613b32}}, Isbell proves that a collapsible 2-dimensional cellular complex {{formula:6a682bef-6640-44d8-a298-73e11b3a4413}} admits an injective metric by explicitly constructing a hyper-convex metric on {{formula:1d9a2fae-8e6d-475a-91a3-4d80365a856a}} as follows: taking a tr... | r | 70e2c7b4775765d32e92185be032bb1d |
Hybrid methods combine ideas from the above-mentioned methods such as pseudo-label, consistency regularization and entropy minimization for performance improvement. Moreover, a learning principle, namely Mixup {{cite:9147720ce68d799c7ad344684579410ccb4607c9}}, is introduced in those hybrid methods. It can be considered... | m | f02259464177601173fc7a203c620a3e |
i.e., each node can only affect its own iterate and the iterates of its neighbors. When nodes only have information of themselves and their neighbors, this is a natural way to preserve feasibility of the coupling constraint. The extended method in Section REF for handling general {{formula:09577b8e-6f33-42bd-a9dd-f56d... | m | 82ba5614349b570c2e7de3d1cb580cd8 |
Model-in-the-loop's performance. Interestingly, the MoViE+MCAN model that was not used in the loop and trained with a different seed, performs very similarly to other models. This suggests that to some extent, annotators overfit to the model instance. An alternative explanation is that model selection for all evaluated... | d | 3fa65973f318cff54c27a7e786a230b2 |
Our models are built using PyTorch {{cite:420bc06c918e754dba42ade70eb5d4c4bae1dcec}} and Open-NMT {{cite:dfe42139a90cbe8ab6345b3998969f8d0e2207ee}}. We configure Transformers with word embedding size 512, gloss level tokenization, sinusoidal positional encoding, 2,048 hidden units and 8 heads. For optimization, we use ... | d | 9ecff5a703575dc50e51de2912a680b5 |
First observe that by Lemma REF , {{formula:2a8e9571-8bcd-4ce5-8894-0f6e4f6171aa}} is {{formula:8e89f98f-34cb-4659-a563-08baa61e089f}} -strongly convex for all {{formula:3cd455b6-dcef-4aa9-83f3-e318e82ba2dc}} Next, notice that by Lemma REF , there exist {{formula:fe00f57a-18c3-499f-b72c-1d155fb12ab7}} such that {{fo... | m | 76c2a785f471c604c365714b0de79a48 |
In {{cite:01b62cda59c6c9fdac36bfebcf03516e9398597c}} it was considered a special type of set theoretical solutions of the quantum Yang–Baxter equation, the so called non degenerate rational maps. Nowadays, this type of solutions is referred to as quadrirational Yang–Baxter maps. Note that the notion of quadrirational m... | i | b57c8dc8f329968c3a17571eff9f99e1 |
A possible extension of this research is to investigate analogues of these problems for multivariable functions. Previous research on learning multivariable functions {{cite:b1031059f371b73d9f33f6ce6469634936a9161e}}, {{cite:40677691a979ada74579f9b4d9eb264eecc1804f}}, {{cite:7cdce6b3dca7104b89d3d7ff37f5863f24fa18dc}} h... | d | 664d8b2caf80b58635ecdd168964f124 |
The majority of the experiments use the synthetic oracle for labeling. We also run experiments with actual human annotators in the demos + preferences experimental setup, with the full schedule and with the schedule reduced by a factor of 2. In our experiments the humans were contractors with no experience in RL who we... | r | c0496262253ea067dd88d8aa792d3f2a |
An interesting direction to explore would be cost sensitive learning in Class Conditional Noise (CCN) models without using/tuning noise rates {{formula:954ad409-8993-400b-8316-1748dca7effd}} and {{formula:95f197dc-8ee2-4af5-a0b2-a3fdb710f52d}} . We could invoke Elkan's result {{cite:0b5a5ddc1c672a2338ec2bc7630ba83ab0d... | d | b364f07d99ecf89fa6fb4255b87fc6bd |
Figure REF visualizes the datasets in the Background Challenge {{cite:70c4128cb86d8cc17293bd3ec008f35e590a5f11}} benchmark, which provides various combinations of foregrounds and backgrounds: Original ({{formula:613d5709-fbf4-4cf9-885d-03b8ab752e37}} ), Only-BG-B ({{formula:d700286e-72b5-47f9-9a46-1b5a33ee255e}} ), On... | d | bcd220a1457a36d59b01e3818b305c9f |
However, we notice that both CLM and MLM still remain some deficiencies in calculating sentence scores. For instance, some works {{cite:5a362bfd52bacf39e0d1e4abc5558a5ced04f0e9}} utilized GPT-style model for ASR reranking within single inference, yet GPT model can only extract unidirectional information due to the limi... | i | 3e5cb53edd131735a62a9b457ac83237 |
Architecture scope: We sample our architectures from the large AnyNetX network space. It contains the CNN building blocks to span basic designs such as AlexNet or VGG as well as the whole ResNet, ResNeXt and RegNet families. We acknowledge that there are popular CNN components not covered, however, Radosavovic et al. {... | d | cf81fa5c59904a522e47087e5ec19751 |
We strongly believe though that robotics competitions like AIRR reveal highly relevant research areas for AI. In this case: How can AI best be designed, so that robots need minimal time and data to reach robust and highly agile flight? A monolithic neural network trained end-to-end purely in simulation likely requires ... | d | e39a96e2857c8a23bf7381296e2c4bab |
Let {{formula:635014f8-966f-4a60-bf24-30d529abbd43}} and {{formula:b7168b6b-ab4a-44f8-ac96-31c5da2e0f3d}} . Then the following hold (c.f.{{cite:c2c560ff366c620c53825e1df14ccd14c99e8209}}, {{cite:30a4fe7d9a553713a32e8407a298314296af3b5b}}).
| i | 2b9be2312173476c84f35abf630bdf35 |
The equivalence of conditions (1) and (2) as well as the equivalence of conditions (4) and (5) can be found in {{cite:f1c4c02ecdfc706f1df4fbea81496000e80fd7d3}}. That (2) implies (3) is immediate from Proposition REF .
| r | e840d2682d3025ec667e0832f9829f88 |
As a backbone of our explainability tool, we require a method to represent the special activation properties induced by a single sample in FR models. The AM visualization scheme used in this work is the Score-CAM proposed by Wang et al. in {{cite:fa3f142309f5dad48e6a7c8f4153909e54306ac5}}. This method is designed to ef... | m | c725dcffa856b9017aea2cd40ec33a5a |
Our method of testing identification addresses in some sense a statistical problem `in between' classical treatment evaluation, where both the treatment of interest and the identifying assumptions are predetermined, and so-called causal structure learning or causal discovery, see e.g. {{cite:a89a4ce1e3f0215d689ff449fae... | i | ccc4e20b15e823eb903f4592016dcecc |
The Fast Gradient Sign Method (FGSM) is a popular one-step method to generate adversarial examples in the supervised setting {{cite:3307e3c627520d0a1190df3e833759ff275a1173}}.
Its untargeted mode perturbs the input {{formula:e3d3971b-9f86-48ff-b983-c4c8837eea8a}} by taking a step of size {{formula:f84291ba-2f89-4bdf-9... | m | 2948abbe8818277f73cb7c73654c1488 |
Table REF summarises the quantitative results of this experiment. The DiSCVAE yields higher accuracy rates over competitive sequence disentanglement techniques, like the DDPAE and DSeqVAE, despite being completely unsupervised, i.e. there is no need to fit a GMM post-training. These improvements additionally transfer ... | r | 30a98ae4efbc80fbd3f51526eb00eab3 |
In the last decade, many works have managed to further establish sharp convergence rates, which mainly requires to investigate quantitatively the sublinearity of the corrector {{formula:e5177a05-005d-43ac-9869-6793feaa7728}} ; see {{cite:1f3d651981e4ceadf222fe807a6218279b71f081}}, {{cite:49c11495d8745d6199cbe5c68f44fac... | i | 1a4cdde87d800ce8dcf0386585b65d68 |
Entropy inequalities have been a core part of information theory since its inception; their development driven largely by the role they serve in impossibility results for coding theorems. Many basic inequalities enjoyed by entropy, such as subadditivity, boil down to convexity of the logarithm, and hold in great genera... | i | 9da0f381a968760bba827bb99d144c0e |
Over the last few decades, Stein's methods have become one of the essential tools to prove and get a rate of convergence in Central Limit Theorems for sums of dependent random variables. It was first introduced by Charles Stein in 1972 {{cite:e0a727babda3e3ca02ce9160af9ed717876b333b}}, who combined Gaussian Integration... | m | 32f6d79c740e0db76ba2f878257d0afd |
Compared to the GALEX-based measurements in the same redshift
range of {{cite:6e631beb328acfb7846c13fa98b38194280f160d}}, our sample is smaller, covering a smaller
sky area and with a shallower limiting magnitude. On the other hand,
while {{cite:6e631beb328acfb7846c13fa98b38194280f160d}} suffers from systematics relate... | d | 22eb854648bc48a0bd914bdabd29470e |
We also compare with focal loss on Multi-Color MNIST dataset. We use {{formula:e6b0f269-ee67-4fc8-b3e6-37e48a1e88a0}} and {{formula:56858376-2bd4-43e0-bfef-08e3cf29e2ec}} as they perform the best in {{cite:42ed0124818e657a112fc386b08c1592b6dc98aa}}. The results are shown in tab.supp.comparefocal, where focal loss's r... | m | 2c718b903a053a88f1e22f45dafbc34c |
This work is an important step in understanding performative prediction in dynamic environments. Moving forward there are a number of interesting future directions. In this work, we consider one class of well-motivated dynamics. Another practically motivated class of dynamics are period dynamics; indeed, in many applic... | d | 369f13f0c4dd2dd062a625e622917bba |
A commonly used tetrahedron method {{cite:3c07347ed4b6363f1062ac74bd74923a34bd0467}} is a popular tool of density-of-states calculation within density functional theory {{cite:8b3aaadec06748cdcd6bc080d9bf3e02b0a1f14f}}. A fundamental block of this approach is linear approximation of the spectrum within an elementary te... | m | 0d3fb8a989edd8ecadbf0ec646b4acc2 |
A more general nonstationary problem is studied in {{cite:1da536edced87c6e181227ddad1d67ee975d1f12}}, wherein the cumulative maximum variation in mean rewards is subject to a variation budget {{formula:025efac7-186b-4a6c-b0d3-25e02e7f4740}} .
Additionally, the authors in {{cite:1da536edced87c6e181227ddad1d67ee975d1f12}... | i | 04f5d903c8a2609f0e6d12444115b258 |
The effects of weak corrections in parton shower algorithms are known to become significant already at LHC energies, in particular with the upcoming luminosity upgrade, and will be even more relevant at future colliders.
One of the major challenges of the construction of such a shower is the calculation of the relevant... | d | 814d9357b77b4bba73375fde28a02e60 |
What qualifies as the best performing model for SCF? Our SP-GRU learns the best fit for synthesized behavior. On the commonly used metric of NLL {{cite:9211cda377f653ad5b99ed37390e419fbe1f228b}}, {{cite:407b691bd6cfc1bc8177f6d6de666442e8ab093d}}, {{cite:401254e53e3ae71cf619a05dfbbcbf2f2557b756}}, our SP-MLP models perf... | d | 704ef4695c96ef3b7d6c1447eb32aec2 |
Figure 1: Background colors represent the maximum mass of hybrid stars for different parametrizations of the NJL model
(i.e. different values of {{formula:8d25b638-7ebf-49a0-9020-eeb8b85572ab}} and {{formula:acf3a8f5-b621-4139-89d0-871018c1dfb5}} ). In each panel we use a different hadronic EoS (without hyperons):
(a)... | r | 94cf002163e8e069b589ad99967fba08 |
In this section, we provide simulation results of the proposed algorithm.
The positions of users are generated according to a uniform random distribution in a circular range with a radius of 50 m.
The minimum distance between the UAV and any user is 1 m.
Both path loss and Rayleigh fading are considered.
The parameters... | r | 88649b5ca84f8ea1aa2ca690958b1371 |
We consider a cluster of sine tasks, one of linear tasks and one of quadratic tasks, regression problems inspired from {{cite:55e72ca3b7fd7c6acbcf55e91a318d8bcfe8e28b}}.
Details on the problems can be found in Appendix REF .
| r | 111c1ee4d1cac232c080d4ae371ce09d |
On the other hand Bennett and Brassard
proposed a completely different unauthenticated key agreement
protocol, now called BB84 {{cite:e26e27e55ee8d5057ef2962a2165e0b6258ccabd}},
whose security is not based on a mathematical problem, but on physical assumptions on quantum mechanical systems. In this protocol Alice needs... | i | 67d422b2236df676eada0ce47722b370 |
-
Integer linear program (ILP). The standard ILP formulation of the MDADC (REF )-(REF ) {{cite:eba924fd8eb87be4b27bc1ef524c48b64698abf6}}, {{cite:e4b6763a92775748d7c7971f2884f59eba7b14d4}} involves {{formula:4572968e-e1fc-4752-aae5-ebdcd6409de1}} binary variables (the number of edges in a complete {{formula:72661b1f-6... | m | b2eeed1ffe8296034336131816032384 |
Our framework may not generalize well when the size of the training data is small and/or the training data has significantly large domain gap with the test data (, synthetic FlyingThings3D to real-world KITTI). This is mainly due to the Transformer based design. Unlike convolutional networks, Transformer models do not ... | d | 2d0ce89393f90e16158bbeece324a741 |
The surface tension force {{formula:61de69e4-aae5-4252-be44-cddd21758ba5}} , in Eq. REF , refers to the continuum surface force model {{cite:30fb83f1ba6cf544cf61191555082d9bf5c987d3}}.
{{formula:d78c9975-ff64-4596-a50a-0d800197e1e7}}
| m | 652a40f09fe8c268056234841d480799 |
By using the relation in Eq. (REF ), commonly referred to as the kernel trick, operations in the high-dimensional feature space can be computed without ever explicitly computing the coordinates of {{formula:fe9e03a3-01c8-49d5-b387-060688ddb94c}} and instead using a kernel function in inner product space. Remarkably, t... | m | 23f0cf8b8d13372ca1f4ed248b25eedc |
Another research direction was to improve the computational complexity of Courcelle's theorem, since the function {{formula:12727831-e162-49a6-bc0c-1a5a9f9c5259}} grows as an exponential tower in the quantifier depth of the MSO formula. However, Frick and Grohe {{cite:0f196416a2d402f2bc8f16ffdda22c57253f30cd}} proved ... | i | 4df0d679558c76be6c6ff116e800a155 |
Basically, NAS can be classified into three categories: Reinforcement learning (RL) based {{cite:46c5bceb1ef893b62b141d50e7e3f0dbed989f7a}} method, evolution algorithm (EA) based {{cite:ed059c38e7110aa4643b13785c1d92661c476ab7}} method and gradient based {{cite:4e32264b867ddc2ae3d544a1db5be424c8f59f33}} method. The for... | i | cde9833db64dc89f3859fb00b9e2e4ff |
Remark 1 (Unification of {{cite:73bfd1bb384e539053203140b316e8d6e2bd0155}})
If {{formula:bd925a12-48fc-4188-bb49-60b852280abf}} , then the distribution {{formula:dbdc97d6-ea97-4444-9fb7-c15c92c407b0}} is reduced to {{formula:bef8bbc0-078d-4ca8-964f-ee7e9a264db8}} and the bound (REF ) is reduced to
{{formula:e6f424c2... | r | 23bbf356833b69cfb24e3554af6fe08a |
Our study is motivated by the fact that over the last few years several papers{{cite:b6abd5e6a252858e60a13562304cc36ca7b88e44}}, {{cite:c08ff479e9ad4648f43702098dd3a6a768ea72b7}}, {{cite:51a885b966763f3b606ecddfe4b5a6d13c3ea1d5}}, {{cite:083baa87101d541092439c69b487080d8e1d7058}} have independently reported that vertic... | i | 019c4b971d2dd7e11e091114c2606103 |
The fact that {{formula:675fc865-0aec-40ad-95a2-791c1655c003}} admits no compact perturbations increasing its scalar curvature is known as the Geroch conjecture. By identifying faces of a large coordinate cube in {{formula:383e7c09-9035-448b-b795-72a586a4b3ae}} , one can deduce this fact from the non-existence of posi... | i | 576152524d771131a3c82fa7e9ef88bc |
We implement an aggregation-based method TARN {{cite:5a900ad46372a2a07ae0c2cafec091a8b3f89e58}} and a matching-based method OTAM {{cite:8a99c7ff31340c6ad0dc9b430e2558905a87f176}}. We train these two models and our proposed CMOT on the meta-training set of HMDB-51, and test them on different meta-testing set. We show th... | r | 01e45470d09463fc9d350218b4a0b23b |
Remark 1.5 Theorems REF and REF tell us that the effect of the partial confinement is so strong when {{formula:8eb303ef-0a20-4719-93fd-ec98e48f036a}} that a dimension reduction appears. On the other hand, this effect is so weak when {{formula:e9e600e6-2576-42ee-addc-87f2a024a8d4}} that we can almost ignore it. The ... | i | 243a521b7fbdef2907c328f504bb913f |
We then raise some concerns with respect to the procedure and the benchmarks used to assess new CL methodologies. As we can see, through a pretrained model, we can achieve impressive results with respect to the current CL state-of-the-art {{cite:7cce20876ffa96dbc2871aebdf3ffcf5efef6f25}}, {{cite:33b00b51d2eb795e543f867... | d | a94f26ddf29fecf6b5f6c9be40461d13 |
We firstly evaluate AA-RMVSNet on DTU evaluation set {{cite:7e9aec8d3f47cb7822977efc5b2a430d50c51ae8}}.
The depth comparison of Scan 13 with {{cite:4b572613b540ddf535ff134be193d30430fd6aa9}}, {{cite:3bebb764aa1c555bd4133a8b6caef50d50e773e4}} is shown in Fig. REF .
Benefited from the intra-view AA module which integrat... | r | 7a821a0fb32b2f0a8be37bf30511ed76 |
Since the dawn of modern exoplanetary science in the nineties, one of its most ambitious aspirations has always been the discovery and characterization of “true” Earth analogs, i.e., rocky planets orbiting within the habitable zone (HZ) of solar twins. By looking at the distribution of the currently known exoplanets, i... | i | 021f3da6d6d981f8590cb28ce759bc6a |
To construct a Gaussian {{formula:c7453141-65ec-4a69-997f-d22c4a3c2005}} function, we refer to the formulation proposed in the PTOLEMY project {{cite:85ad9b956f817be23b794ffa9f83ad5b66351a99}} (See also {{cite:0dc275096dc66b72e1dc341984f88a127b29dcf1}}, {{cite:8d3ba0113191fb88a8c140f5e3733862628682f0}}, {{cite:941d80a... | m | ab9cbc78b8160243334dff7ee118f3cd |
The discovery of gravitational waves by LIGO {{cite:a8e65b8d2b344e0958c6c4ba5e2a7fa2909ea854}} suggests a novel possibility to observe the early universe.
The comparatively weak interaction between gravity and matter means that gravitational waves will free-stream after their production, carrying with them a fingerprin... | i | e49cead65d4f269b98122e935456d350 |
Finally, there is the issue of scalability. Although some DGP methods have been shown to scale well to large datasets, they have not been thoroughly benchmarked on highly structured datasets such as Imagenet {{cite:2cc674e08ed4f9f971edf25edab04c009512fc3c}}. The problem lies in the model depth required to achieve good ... | d | cd39c7e4f1b968b5328ab7db06d1ec0c |
For further evaluation, quantitative performance is evaluated for image translation. SSIM {{cite:0994b35424667439e3677e8b5c5b971702ea68e4}}, MSE, and PSNR are used for the evaluation. The results are shown in Table REF . We can see that our model outperforms E-CDRD {{cite:c9d3b678ce203272ee327e9506bc9fee6739aa61}}, whi... | r | f149d701d632a0a93b54627352f46f73 |
The kernel of HAP method is the similarity paradigm link prediction algorithm. In order to verify the performance of proposed HAP method, it is compared with six other link prediction methods, including JA{{cite:c66980b4e4e250a0c6b6e6e6f88e61fb342ba4fa}}, PA{{cite:5e65aec37c8a0b4755469c1e07ca70cca9b00d44}}, CN{{cite:9e... | m | 7959cba1018db054141b3793b0c99a57 |
{{formula:b5db6b87-d900-4470-bea0-435ccd6fc7cb}} Notice that the a.n.i. or e.n.i. property of {{formula:0760cab1-b1d0-45da-aba9-e2f9df894b70}} does not imply
that {{formula:5ac174ad-b7c0-4125-9f58-310fc5f02f4e}} is regularly varying. Recall from {{cite:9e001d7123e7bfbae1044e96fa6a7145a7bb0339}} {{formula:9ce20e48-2d... | r | 94838346c8970eddef6ded0629234d9d |
This paper is concerned with the derived symplectic geometry (in the sense of {{cite:b80f9ceb52a95087d10991c573d245349488a3e4}}) of critical loci in the presence of symmetries.
Derived symplectic geometry can be seen as a model independent, homotopy invariant, and global way of dealing with the {{formula:c02a8943-dc19-... | i | 8055da0f86edd0b3c58ecc9356f6e819 |
All numerical simulations were performed using COMSOL Multiphysics which employs a finite element method in frequency domain for the calculation of electromagnetic fields {{cite:9933a8a0fccb7ea8bce3d1225ebec08eeb1f569f}}. Our simulation model for the design and optimization step is reduced to a unit cell with a single ... | m | cffe5a9cc781aca716ba2707258790ab |
As seen in Table REF , we present a few statistical metrics to determine the fairness for different ethnicities in the RFW dataset using MTCNN {{cite:e093c6ae7388348875f1e5d08c33f0bbdad75744}} model and FaceNet embeddings. It is not directly evident from the results of one group getting better results consistently, but... | r | 9baec189731ba5a0602adac27f3c0579 |
A promising direction for future research is the addition of a third task, potentially radiotherapy dose plan estimation. Hence, we can generate contours that are consistent with an optimal dose planning. Further studies could also focus on sophisticated MTL network architectures similar to sluice networks {{cite:9c97a... | d | 41690663ad919dd63732a6f2cd4eef50 |
The results of Section REF suggest two things. First, data complexity (i.e., the diversity of images) largely affects the pre-training rate {{formula:d1988310-0e48-4634-ab20-feaedbf1a449}} . This is reasonable because if we want a network to recognize more diverse images, we need to train it with more examples. Indeed... | r | 2f3b217deb4aad077762c9aa50776585 |
We use the Surface Evolver {{cite:6df3a6c04bb3e388d0467bdb20d15cc8d61c6b2c}} in the manner described by {{cite:a2bbb7342d26e885f4e64219a30352c8da2ab1ef}}.
We create three foams of around 725 bubbles (in this range the number of bubbles does not affect the results; data not shown) between parallel walls with a Voronoi c... | m | c3299e7c25e08515b98592c6d06a59a2 |
Results are replicated using the original author's covariate set for matching and model specification for regression. Since virtually all of the papers replicated in this study make use of matching in conjunction with regression {{cite:bedb74bc9bdeca8471602c24b758dc2f5fd5a1af}} we do the same here. We try to remain as ... | m | 0394e4ba1b5411bab7111f6e9b08d07a |
In order to compute the dominant eigenvalue of {{formula:e0674bab-173f-4399-b00b-a237c732ffd7}} numerically, we retreat to intervals {{formula:bd3af1c8-e058-444d-a11a-fc0817d7c107}} for some {{formula:cfef9eb7-6b61-41d2-8817-c7db3611f6ae}} . It is shown in {{cite:063e4dfd2b4ec2e8053bb745784025420e21b8c9}} that the do... | m | e3286db7edd4c54191b13e3d54f9113e |
However, a complete description of these measurement processes is missing thus far. To make use of the full power of such protocols for quantum state engineering in optical quantum technologies {{cite:f73ca5b6dac1ab066c462938128b9ed291b144b3}}, {{cite:84510f589ec9ddc42206be1b1633a4a6b02afda4}}, {{cite:75ceaa87b698c7266... | i | 18ee0fa93854b9c70c178c1d870b670c |
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