text stringlengths 54 548k | label stringclasses 4
values | id_ stringlengths 32 32 |
|---|---|---|
In the case of the BigFish and Jumper environments, no simple policy exists common to every level that allows for a good performance, thus almost no agent is able to succeed without retraining on new levels. We note, however, that the small number of levels (50) used to train the experts contributes to the lack of gene... | r | 1c8af11d16cb7e9b8f721aa878b5ff5b |
We show qualitative results on AFHQ dog and wild (Figure REF ), FFHQ faces (Figure REF ), and StyleGAN2 {{cite:f1e9223b47ba31f8addce10c2667be8ac1a294cc}} (Figure REF ). All models are trained with ten user edits.
| r | 8a30bc5c27d6234da8030d38635905d2 |
The small fraction of time that the radio pulsations are detectable is notable. There are several possible explanations that are difficult to differentiate between with only one relatively low signal-to-noise detection. One reason could be simply interstellar scintillation. High frequency observations of nearby MSPs ar... | d | ac8361b7ea42267effdb3dd6e5649b94 |
Inspired by previous works {{cite:4ce920ebc9792d1efe3d7263fe35a70642d70da3}}, {{cite:08fe441e8cae6b8fddfeb0eb04e10895e09e43b5}}, {{cite:00ad09977dcb5436e6f349a551cca104da009cf9}},
we introduce a novel pseudo multi-labeling strategy.
Concretely, we extract pseudo-attributes from product titles and optimize a multi-label... | i | 63db7b741ff163685752155f56c2ee0f |
Notwithstanding these limitations we have shown that ideal networks
designed to be maximally navigable at minimal cost share basic
structural properties with real networks. Compared to existing works
on navigation-optimal distributions of shortcut edges in Euclidean
grids
{{cite:3d05444dc79e69b9354702e24a63e7be0d7af760... | d | 862ba9b358123dbecf73689e4e18b89b |
From Andrzejak et al. {{cite:679219f58a4afe9b829b1e90079bfe77e3a88236}}, 10 Participants (5 Healthy and 5 Epileptic Patients)
| d | 2738538329bb83c72ba3845b34fc442f |
M3 SMOTE ENN {{cite:f7527b03d9bfd2d58b7a7c8186fdebfefda7f158}} 13 Binary C4.5 AUC
| m | e440531b851471064076c266b2ee0cd8 |
More generally, the phylogenetic networks that we have
considered in this paper did not have arc weights. It would
be interesting to understand how arc weights might affect
our results, especially when we want to make
a straight-line drawing where the length of an
arc is proportional to its weights. A special case that... | d | d07d3ec8735034a433ed8764c2eca662 |
Perhaps one of the most interesting findings is that our PAC-Bayes bound is able to capture the power law scaling of the learning curve of DNNs. This scaling has been the subject of recent important work in deep learning theory {{cite:bca9778c4465fe5bcb75069d0ad06a2880e4173b}}, {{cite:10d35739b990d6c45547676d654349d30e... | d | 33b51d14585cbeba910a055a48d6e9ad |
The systems confined in quantum dots weakly coupled to electron reservoirs are studied with the transport spectroscopy using the Coulomb blockade phenomenon {{cite:0327b25f72406e26b5781f261ea0c9c4cfca509a}}, {{cite:09e2dbfb7ae1418465cf79ff2d0c1284e077ec7b}}.
In the Coulomb blockade regime, the flow of the current acros... | d | 55e545152be1cfc685d295459bfa4d09 |
The large-scale fading of the BS-RIS and RIS-user channels are modelled as {{formula:3d94a7e3-2b28-4e08-9750-9234462425be}} , {{formula:3e12aea2-bf7a-406a-a49c-a10401bdcc3e}} , {{formula:ec2c48b3-7d81-4c83-87b8-996ceb2f5725}} , {{formula:2f0ab48a-cc3f-4e09-a571-aae8698258dd}} , where {{formula:7e1227a8-aa59-4419-9656-b... | r | 8cad452e4c7c2abd411d8ea146ebf973 |
We view the proposed model as a simple first step towards addressing pitfalls of Bayesian approaches to high-dimensional clustering. There are several important aspects that we have not been able to address in this initial paper. The first is the issue of fast computation in very large {{formula:c63fb7b9-8d4d-4509-8de3... | d | 2c6e1255025e9b7a1f676c5fa81e6acb |
Sometimes authors even refer to the quantity {{formula:9a7b4ec8-bb09-4f75-8840-542e95b7c408}} (expressed in terms of the HHZ variables {{formula:7183b9c9-ddac-4917-9686-5067a5a3d795}} and {{formula:d2afe977-962e-4f4e-904a-0a3b25040ebb}} ) as the free energy {{formula:a13c4013-bd67-4dc0-b679-9b25266701e6}} , rather th... | r | 8dad3a21751046ba2643549c0e7bbdc9 |
Since the continuous Newton flow (REF ) is intrinsically
a nonlinear diminishing system for the energy function {{formula:392a640f-a54a-469d-a71e-fe6c3bccfff2}} ,
it can be integrated by the strong stability preserving methods {{cite:17b9f6b704e6a0f01b00685eb88cb266f147acfc}}, {{cite:f7acc410777cc55529098e143b0110e5b07... | m | a45b0b58f67d6e0b982325d023c02974 |
In this section, we present the results for two trained hierarchic decomposition models. We use the ShapeNet dataset {{cite:ab6f06daedbb2743e748446bec4128be4a2d4242}} for training along with the NVIDIA Kaolin v0.1 library {{cite:ca0a75b6ebdbb93ef9016f0f0845de95ffcaa9af}}, which is used to compute signed distance functi... | r | a6ec0546281167b44ba55420a490f3a3 |
We also compare with other methods on Colored MNIST in a single-bias setting. There are two variants of Colored MNIST datasets in previous works—(1) adding colors to the foreground (i.e., digit) {{cite:15b50e2db9cdbdf13258e7e0ad0a8ed1e525d1bc}}, {{cite:9ab8b29aa900625f44b5514de6eb94179620ce83}}, {{cite:268fdff4db223ac7... | r | cba469eae63d17893b76e42df8677b98 |
“God used beautiful mathematics in creating the world.” During the 20th century physicists constructed many beautiful theories that would describe the Universe at all scales even though some of the theories were not so simple. However up to date no theory was able to give a decisive answer regarding the fate of our uni... | i | 41685a55f7cae58dffff232767fd65c0 |
One could arguably compute mfc on the basis of human-annotated semantic similarity ratings.
Datasets of such ratings exist {{cite:dc4124a06c6d9ef51f22e2dc68b15c562eaf2aaf}}, {{cite:907fd0010fdb3bff2cdf142d25c5c9607c882674}}, but they do not provide a (dis)similarity between every pair of items as is required to perform... | m | 37e225112fa8dcd846fd59d9c23c88d3 |
Unconditional Generation of SkeGAN:
The effect of temperature {{formula:8f73b41f-53cd-45bc-91cc-bd5b7f85faaa}} for unconditional generation is similar to its effect in conditional generation in the case of VASkeGAN. As {{formula:f1217027-88cb-45e5-8319-9ecc6a2cca99}} increases the randomness of the generated sketches... | d | e603d93526613deaf5d263431e78800d |
Pseudo-LiDAR {{cite:3be251c152ae090c5ca6ff0301c7ecc3e1770259}} + segmentation: Uses Pseudo-lidar with PSMNet to generate a 3D point cloud from the input stereo images which is used to project the semantic segmentation of the front view to the bird's eye view. The PSMNet is trained separately on the respective datasets... | m | 33693a3d790b643a07161220c6245139 |
As argued in {{cite:8facfd99ee2c23df7552c61b32a04347ab8ba081}} the norm of weights does not necessary captures good generalization. They show in particular that generalization in ReLu networks is invariant along hyper planes corresponding to reciprocal rescaling in and out side of a nonlinearity by some constant {{form... | d | 415da03a883d9da286ac08d8b5b20371 |
We use OpenFace 2.0 {{cite:4c015ba6bca25aa53354dacfce423bd4a256fbe2}} to compute the head position, head pose, gaze, facial AU presence, and facial AU intensity from individual frames in each video segment.
| m | 795590736a58cf529f36f134c847540b |
The above theorem for {{formula:01692196-0461-4f20-8dea-9dbd7ce1e938}} -{{formula:03381ef3-d89b-4804-abdc-b1c24c2beb6f}} in {{formula:fb7a5985-710f-424b-9106-1f4c51e9d81e}} -metric is obtained through an intermediate hardness of approximation
proof for {{formula:b7b05d0e-e3b5-4b7e-93d2-c8b28d8c1054}} -{{formula:d5f4bd... | r | c977a3e46ce468024e0a704d52fe72b3 |
From the Lemma of Douglas-Dupont (see in {{cite:cddc47a1afe52ec22d1dabcfbba05ed0eaf6871b}}), it follows that, given a function
{{formula:fd47f5dd-731e-49eb-95b4-18c465310e2c}} , there is an interpolator {{formula:daa4c4f4-be5f-44af-9abb-179696fb2ddb}} such that
{{formula:cda7f55b-f3d4-4560-a5ff-a82bcf99142a}}
| m | 2ec5a65fd8957433adedef3a86be1540 |
Compared with the previous theoretical works that used the plane wave expansion method on the {{formula:301c797c-29bb-49a5-94d7-bc4bf2b61f46}} model {{cite:43a3c16d4eb683e68620727477459a8a054ff85b}}, {{cite:b15333b3ccea93279a0e188ffaa4c318e04c1c18}}, our results show the following differences: (i) the inverted bands a... | d | d086e8a061faa53d5289edccacd79c96 |
We show the quantitative results on Matterport3D dataset {{cite:c8c8f0325058e18a56f8bee82312df755f6a013a}}.
The sampling strategies are the same as our experiments on PROX dataset.
We first perform K-Means ({{formula:ec0e4bf5-6b4e-43de-9c59-2323113e37ea}} ) and evaluate the obtained human-scene interaction anchors on M... | r | 7b8f65f41b1bf499f2e52eb820862072 |
We perform a series of tests to show the physical accuracy, robustness, and generalizability of our method compared to other baseline methods.
We primarily use data from a high-fidelity SPH solver with adaptive time stepping {{cite:d6ee9fcde0fa48ffd8f46506203ad34005988b64}}. The resulting, two-dimensional dataset "WBC-... | r | 0b82490a4148f63ec32163084882abc9 |
6.2. In the homological mirror symmetry due to Kontsevich {{cite:6fe984f989c14dd1da6fa8e1b6c6233e7fcb0bbf}}, monodromy transformations in B-structures are interpreted as the corresponding transformations in the derived category of coherent sheaves {{formula:8fc881dd-7c2e-4420-9e4d-43cfce398f40}} . From this viewpoint, ... | d | 83a332d21681e232df22d378625909d9 |
It is well-known that for {{formula:a9b45444-b5fb-4ab8-82fe-d04af8a0c94b}} (cf. {{cite:57601bbcc49a634e1af43dc3f7b5d0974438fd1e}}, {{cite:d0454dfba4cc6000e9f7b7feba7d4d6989ba2064}})
{{formula:4b8d0276-f76b-4bed-ab71-c0f3aa20f6c1}}
| m | 808335b37f49ed6c35043526c5d25314 |
Moreover, UAVs flight duration is bounded by the on-board battery lifetime. To improve the energy performance, solutions can optimize for energy efficiency such as in {{cite:7aa99394b0f4e1c279a15196dc4e9a783dbc7897}} where the authors derived a model for the propulsion energy consumption taking the trajectory into cons... | i | c9a8f7c076eb6633ed20c709057af60b |
Based only on the experimental data reported by {{cite:efc0785029fee2b7aa5afee270aaa933965ea06d}}, W. D. Langer & T. Velusamy (cited as private communication in {{cite:efc0785029fee2b7aa5afee270aaa933965ea06d}}) searched for ortho-CH{{formula:8d6a2da7-9ed7-47c5-b327-e07df9ff9839}} C{{formula:d1c1e278-0a0a-426d-97aa-fa3... | r | 00caa77dbb91b85bfd303feb5178e275 |
Weighted Boxes Fusion. Typically, detectors generate multiple bounding box predictions (with confidence scores) of a lesion's location. Predictions become clustered together when an ensemble is created from multiple selected epochs of a single detector or over different object detection networks. Weighted boxes fusion ... | m | 7dfc676dc663e9697f97706a4726babd |
We compare the performance of our proposed method to competing approaches on
the MultiWOZ benchmark {{cite:13349286a20e6be98aef5a8ade78999d8c15a66c}}.
Our experimental results show that we are able to improve
the state-of-the-art performance across different benchmark metrics.
Apart from MultiWOZ's context-to-text metr... | i | 6d727a66bb589e177b3eaaddc4923bc8 |
Our model-fitting results reveal
that the acceleration zones could extend
to spatial distances of {{formula:6bb2e5a6-14bb-4710-abc0-154caf3850c2}} 300–400 pc from the cores
(for knots C4, C5, C9,
C17 and B6, see Table 1 and 2). This result is consistent with MHD
theories for jet formation. For example, Vlahakis & Köni... | d | b61e4c2bec0dd2f939cae332fa35587c |
It is also worth mentioning the flow of the ambient fluid, which we have so far ignored for this study.
In particular, wherever there are sharp changes in the interface shape, this may be associated with non-negligible displacement of the local ambient fluid, such that the dynamic boundary condition (REF ) cannot be ap... | d | 0eeb9f518e324b8b804fe3fcb0ef4553 |
Following the standard evaluation metrics on QUBIQ, we averaged 7 predictions as the confidence map and compared them with the average of seven manual labels with the continuous Dice similarity score. We note that the averaged value of each pixel is in {{formula:ef531bfb-eb0e-49a1-a38b-b87f575d493f}} . The confidence m... | r | cb524b2a724af21492f2c78fd1ea32c4 |
To conclude, we advocate directly maximizing the average reward in RL.
It is the root for approaching Blackwell optimality through Veinott criteria.
It also eliminates any complication due to artificial discounting.
Future works include investigating to what extent exploration strategies
for discounted rewards applies ... | d | ca246e5497b0e8f04eaf2907b1c224f8 |
In an accretion disc around black hole, rotating
flow experiences centrifugal repulsion against gravity that effectively
constructs a virtual barrier in the vicinity of the black holes. Depending
on the flow variables, eventually, such a virtual barrier triggers discontinuous
transition of the flow variables in the for... | i | 831d1e51359174b8ea6b435ae44a0f97 |
In this study, we used a publicly available labelled DR fundus image dataset from the Asia Pacific Tele-Ophthalmology Society (APTOS)https://asiateleophth.org/ to train, validate and test the model. The dataset has 3662 DR fundus images categorised into a five-class scale of increasing severity, namely normal, mild, mo... | m | 24fc2e9ae280b72ddc901ab4f26914c3 |
However, in general the three point function for different interactions and in different models does not necessarily lead to {{formula:fd24199e-5ee6-4aa2-8aaa-8d2a31b57e67}} -dependence presented in (REF ) and it can have crests and troughs at different locations. Therefore, over the years there have been different tem... | r | 8d4cc67232f14d3ce1991c430235ec67 |
The choice of baseline and path function. Although Sundararajan {{cite:ed60065849343d5740ac6de072afd60e9c3acab8}} suggest to use black image as baseline and linear interpolation as the path function, Sturmfels {{cite:6a2e330f08e194ad77cc0d2db18b1495fd40abd2}} argue that it may not be the best choice.
We experimentall... | d | ec0bb189367cb680409b46eb54eaf0b1 |
Figure REF shows the overall performance of the tested algorithms in different scenarios. The results include the median performance and {{formula:793ebf7a-3d5f-4c99-8337-ff5e45ce3ed6}} percentiles are shaded to avoid the effect of any outliers as recommended in {{cite:9347b0755b96844a800f646ddd4fb43bcd56510f}}. For ... | r | 3edfaed563c62d54b3d211fd1717ab1e |
Given a simple graph {{formula:76a938d4-8b88-4cd7-b6ef-8549b3e3bedd}} , a set of vertices {{formula:b326bbf8-81ab-46da-9589-0ed306325f6b}} is an independent set if the vertices of this set are all pairwise non-adjacent. Finding an independent set with maximum cardinality is a fundamental problem in algorithmic graph t... | i | 20a46e525793c4a942ab123184545c5c |
Recently, the {{formula:af4be171-9042-497b-80c9-af6133e4b637}} norm was successfully used in low-rank representation {{cite:13f5fb2ff6724ace9d202ee55c62a14374fd4143}} to optimize the noise data matrix {{formula:9da07252-5178-48a4-910a-7b24069bd563}} . The optimal {{formula:2e3400ac-8396-407d-9383-a08563a4a080}} can b... | m | 78305ce85cd35181e590ffa457de9cf5 |
Following the work {{cite:b30e4a805cb3fa4fbcdd1a03d1c03aedccf5b42c}} of Agler and Young, this domain has remained a field of extensive research in operator theory and complex geometry constituting examples and counter-examples to celebrated problems in these areas such as the rational dilation problem {{cite:4f1b136a39... | r | 8681deb99ff337627e06a0943e1afad2 |
The length of path between two vertices {{formula:6a2ac94f-67cf-46a7-a672-e079d63370ae}} in a connected graph is the shortest distance {{formula:55a2c16a-9dfd-48b5-95a8-6bdee195fb43}} between them. Let {{formula:ffecb4d1-eb3f-4b75-a87e-59f81f5472e4}} be a vertex of {{formula:489980e7-34fe-486b-b517-0c806e550dba}} a... | r | c48cb4e5cea5bca88ac0fc53562f4b40 |
Since when {{formula:4ed61a43-b0c9-469d-8f5b-5a45df0017d3}}
and {{formula:53e6a6ca-5fc2-4b59-8997-d2f93cdff6b7}} , the mountain pass value for problem (REF ) is not a critical value of the corresponding functional,
all the arguments based on the concentration compactness arguments {{cite:003fae9e432df33a1af0f1072522f9... | i | dbc5afe18ca9daa59816f0370d92a0fd |
An ultimate signature of the dynamical topological phase transition is illustrated in ssh:fig:2 b), which shows the band gap structure of the evolving soliton lattice. We see that for {{formula:6c697322-f284-444c-aabe-75d348936443}} values up to the first topological phase transition point at {{formula:1611584f-c203-4... | r | 40efeb417d93481d1c56b5a28cee3bf2 |
The results in Fig.REF clearly show that when no TPE contributions are considered, the extracted {{formula:060d9897-52bc-40b8-8a7a-86e058c566ab}} {{cite:d91532db75fe8d41405a5bcbcfc4bbb9038938a9}} are totally inconsistent with that by the PT method {{formula:78dc84cc-710f-48e5-927f-9f3670b90ff3}} {{cite:e429aa5b9865a... | r | 6d3d5750ed9a630b6346c715fac162cc |
For a fair comparison, we also competed with the state of the art methods that differ in terms of losses and feature extraction modules: GMN-PL{{cite:69412c17e426d29d7af12296c489e79659eb8ed8}} using permutation loss, PCA-GM{{cite:8b56dc8c5c3be842d34bfc34e866d4c0c02dd2e5}}, GLMNet{{cite:d04ee4b9c0b53978c320fa4149eb62d9c... | m | bf4825392bc0e5e927263ba9f9a3b3d5 |
where we take {{formula:531cd288-88f0-42b7-bf7c-6e46ad19798e}} and {{formula:dbcb703b-8eb6-4526-9633-166a84b33a30}} with {{formula:539c4b87-8b1e-4326-bd66-6264b40d1ba0}} and {{formula:200d18d4-23f7-41cf-88cb-4e1b4e174731}} the conformal time when gravitational waves are generated from the thermal plasma. Note that ... | d | 3f2b9306f2528d70c4a6f1c5786119de |
As we see, its decay width is very small and its decay to {{formula:53c191de-37b6-4a7a-bb51-79075a119bc9}} occur very slowly and with delay. Because of that this particle is the longest living exotic state discovered till now. The discovery of the first doubly charmed tetraquark state will, undoubtedly, usher in a new... | i | eb5cebc2404092ff91609e5e6f501c00 |
With the unprecedented growth of mobile data traffic stemming from a growing use of data-hungry applications, next-generation wireless networks need to adopt a paradigm shift in the way the resources are managed. Millimeter Wave (mmWave) technology is promising large and underutilized spectrum between 30 and 300 GHz, w... | i | 78be878a73b853ea41ce6995a3724f00 |
The kinematics of the gas in the M1931 BCG point out to such a scenario. According to {{cite:69c6f11246358b820232ff2c852263b0638d316f}} and to our observations, the molecular gas in the {{formula:bc1e6ff6-822e-4897-a853-8cb5e68b1164}} tail is probably falling inward at {{formula:63dbb0b3-4d01-43dd-a3db-db23f0f11d01}} ... | d | 3531794409e136f42eae0c60cc90e921 |
For the two–dimensional Dirac operator {{formula:b15cbe42-6995-4d63-9fe7-fe36effb2fc3}} , the most general boundary conditions have been studied by three of us in collaboration with Søren Fournais in {{cite:7f4ccc3aa643d49937abba3468721069e7c50767}}, {{cite:9fa5d9d0e958bb50a758f9e3582e85763f7ef459}}. It turns out that ... | i | 0952555e2523cc347fdaba5e6ae00499 |
For reference, the band gaps and lattice parameters of different boron nitride polytypes are listed in Table 1.
While all the experimental band gaps are from the literature, the theoretical values are obtained for the respective unit cells.
Here, one can note the wide spread in the measured band gaps for h-BN, between ... | r | 62e84e8520b300bba9dec2c3ebc2b38a |
Lemma 3.9 (Theorem 4.3 of {{cite:d0063e9675000b6a365264eda3c26f145e31dc20}})
Let {{formula:49c4c6b5-e030-4f57-81fd-eda7f8c8dc11}} and {{formula:5c4ace3a-ad74-4ed2-9b58-ae4f3ef688dd}} be given. Then, we have
{{formula:8ffbf65d-2d96-469e-9604-ae15d9419e4f}}
| m | f0ef33c69119d66a90c953a5a43bd14a |
where {{formula:9db0c090-27be-41fa-bb42-f348a72272be}} is the temperature coefficient introduced in {{cite:2469f981b25719fc153822f0ac3cb692b5b689cf}} to make the softmax prediction sharp. Vanilla MSP {{cite:9296de25fb3277affd4cfc751e11a40ea3b891df}} did not include temperature scaling, which was proposed in ODIN {{cit... | m | ec68314f6d6f2960ff5e9d9c3f3515af |
Notice that transmission probability of Eq. (REF ) is different from that reported in Ref. {{cite:003c248e3fb34d0703ffe68315011d444b62b2fc}},
which depends upon the imaginary part of the susceptibility instead on the full susceptibility function. As we will illustrate
in Sec. , this difference leads to notable differen... | m | 8e5f38f6e3af32f9922771d44b46a778 |
Inverse propensity weighting (IPW) is the first unbiased learning to rank algorithm proposed under the propensity-based framework {{cite:fcfc5992e1490a8d388286f35c89b2ba92bf1e1d}}, {{cite:b40e7b43ffa93a5d0857edfa45dcae919cb30a34}}. Let {{formula:0de0ab9f-d166-4292-a314-b054241c2572}} be the binary variables that repre... | m | 54f99528d1c902936eb3b7717ce0dacd |
Quantitative Results:
We first show quantitative results on the two settings, GTA5{{formula:10c88a2e-767f-4c21-a3c7-8df809e93cab}}Cityscapes and Synthia{{formula:dcac8e6d-082c-476e-a41d-40699df6cc1a}}Cityscapes, in Tables REF and REF respectively. We compare our results with existing UDA {{cite:f964332e944c1afe25df31... | r | e402a84819dc6453ecf61f4f909cc21b |
The spectral method {{cite:8a91421495d19ae8eed6c943eeab256783574182}} is applied to validate Theorem . Let {{formula:05cbf47f-273a-451b-8fa5-f7bb01d0b497}} then the full set of eigenfunctions given by (REF ) can be written as {{formula:2f667e3d-c9df-4e89-9507-2ae08f64eccf}} . For the numerical simulation a polar mesh ... | m | 87cc96e4a6efde0dc90535299692c0d0 |
In addition, the paper {{cite:c01240470ef35ae2d48c8da364966fabbee447f3}} relies on the approach of {{cite:e7eb4c045d0d5fdbd58b5b1994c4510163ed15cb}} by using commutator estimates to prove conservation of energy. We rely on the approach of {{cite:629935c2cafbf48ae1503baa1737497691bdea29}} by using an equation of energy ... | r | b7cb76c62224f539bcbe4c8595efd22a |
The NLL BFKL computed in {{cite:79369c32b1c87c591b796314f28963c53e17284e}}, {{cite:5e630765168f4e381fb45ebeef2ef0929b7d3196}} and in {{cite:4e02cd6ad02edd50aa552e3f21c3d21d4ac90045}}, {{cite:e2efb968bde79e1063ba4995364fc78fb3cad4f6}}, {{cite:4eba6ff94ca7cbaabbe6efb2a922df8b21b21954}} (in the context of high energy proc... | i | 77ffed57392b6bec054c3f9dc576faa9 |
We first implemented LTH-based pruning on single-modal systems described in {{cite:1f2e787474f6a1b72e2647fbbc5c50a2b047c319}} with the results shown in Table REF . When LTH-based pruning in {{cite:1f2e787474f6a1b72e2647fbbc5c50a2b047c319}} is firstly applied to the single-modal models, the performance degrades rapidly ... | r | 836365da974ace67c7e9239e9346ac3e |
Label Tree
Label tree methods usually assume that labels are organized in a tree structure.
In label trees, each node consists of a set of labels which are then distributed to the child nodes. The tree structure is determined by recursively clustering labels until terminal conditions are reached. Specifically, the aim ... | m | ae043b4ba0a1be0e78de3d627e7f7ec9 |
In this subsection, we present a state-of-the-art method for comparison. To the best of our knowledge, XGNN {{cite:cfbf84746ab986cac4ad56fec46abb34cb6aa96e}} is the sole model-level explanation method for GNNs, which trains a graph generator that generates a subgraph pattern (i.e., a prototype graph) via reinforcement ... | m | 289464b961b23e7a672c79997db09251 |
Ilyas et al. {{cite:8f21863e530beebe732a366d12517f82ee36b181}} showed that deep networks richly represent so-called “non-robust” features, but that adversarial training can be used to avoid extracting non-robust features at a modest cost to downstream performance. Although in-distribution performance is harmed, Ilyas e... | d | f8f8395f65f6d438b790b57c3d3d70c4 |
Figure REF (right) points to an interesting observation. Depending on the region where the training is performed, the carbon emissions can vary drastically. This is due to the regional carbon intensity as shown in Figure REF which reflects the extent of clean and coal-powered energy in specific geographic locations. ... | d | e7d13c7d89f06c665375ad27d6a505fe |
Data processing was performed with the Python programming language. All statistical tests (except the power analysis) were conducted using the SciPy library {{cite:75300b19cfe571a6e27054b593320596a262b83c}} while data visualisation plots were generated using the Matplotlib library {{cite:fdf550e85159a0c92988279d3379fc8... | m | 0a7ffd5734cbfef632df0000c0160232 |
Figure 6(a) shows the extracted {{formula:208396a5-7c0f-4c7e-afb4-84d5e2f5ae2f}} (T), with values indicating remarkably metallic behavior.
As the temperature is reduced from 300 K to approximately 200 K, each {{formula:1936a6c3-e74a-4b9f-b67a-f70a442d3435}} characteristic displays a positive slope, which also suggests... | r | d4ff68095b7562de79d91f2732b271cf |
In the literature, many techniques for secure consensus or synchronization within a network are available. Most of them rely on the concept of resilience, ensuring robustness to attacks or faulty behaviors. In {{cite:a6a21f98d81e53e7319fe43b602728dd611329f5}}, classic tools from system theory are applied on networks mo... | i | 8587de960b27a7754ef386b3e006aac0 |
As it is well known, in a rather good approximation, the nucleus can be considered as a system of {{formula:9c03fe5a-6437-4925-b068-16f880a2fb60}} protons and {{formula:4a3e34e2-e40b-4a43-99ab-61ed864a760a}} neutrons
moving independently inside the nuclear volume and attracted by the nuclear center through
a central ... | m | b801886e2b6b7a5a5dc097323e5ddf16 |
Lung cancer has the highest incidence and mortality rates worldwide {{cite:e893a5441023874e413467bd2553943c2ac256a1}}. Early diagnosis and treatment of pulmonary nodules can increase the survival rate of patients. Computed tomography (CT) has been widely used and proved effective for detecting pulmonary nodules. Howeve... | i | 3d2b8b605743ff8bbc1ce8b1c481ebe0 |
formal models implementing alternative mechanisms for generating synthetic TTIs to be compared against the empirical ones.
The underlying idea is that some models reproduce relevant structural features of the empirical TTI with higher accuracy than others. In other words, they provide a higher quality explanation of th... | m | 9755c814c37612bd40591c1a2da74e84 |
Understanding quantum phase transitions (QPTs) lies at the heart of quantum many-body physics {{cite:dcebcac140155e2fbbca44eaedf5e010df23f1f0}}. Traditionally, QPTs are dealt with the Landau-Ginzburg theory, which is built upon the notions of symmetry breaking, order parameter, and correlation length {{cite:dcebcac1401... | i | f17ae4fad4802df50ca4d32db762f083 |
In the string theory literature on the intermediate matrix model, the 't Hooft limit has been considered, where one takes {{formula:ce6fa054-f42d-472e-8f73-d038651c33ee}} and simultaneously {{formula:d742aa63-7b74-4c71-b13e-1016ce496ade}} such that the `t Hooft parameter {{formula:c44770ef-3c86-44ee-a419-63968970c1ac... | i | a27084c4277f69e5714b084abaff482b |
The first DL based JSCC architecture proposed by {{cite:b8f83df083fa8d8aea5161fd0bec438137005ba2}} consists of convolutional modules for image source. Each module consists of a convolution layer followed by a parametric ReLU (PReLU) every layer except the last one or a sigmoid activation function in the last layer. It ... | r | f4a181596e15223a2d09fa2b0bd93ad3 |
In 1939, Fierz and Pauli introduced the first massive spin-2 field theory. They presented the unique Lorentz-invariant linear theory without ghosts in a flat spacetime {{cite:a03b2ec18af77bb61d912eb9307edfdc24c42182}}.
But, there was a discontinuity (van Dam-Veltman-Zakharov i.e., vDVZ discontinuity) which the theory d... | i | 3336e96132f5db090a2924cf7152f757 |
In the regression setting, asymptotic analysis requires studying small ball probabilities (SBPs). Very little is known for Fréchet and Hausdorff distances in that respect. Such analyses are therefore promising, yet technically challenging prospects for future research. In a more general framework, one might be interest... | d | 8c4f3f02f9fa087c6d7717921ca6ed9c |
The proposed architecture was evaluated on the MICCAI STACOM 2017 ACDC dataset in a stratified five-fold cross validation. Figure REF shows segmentation results and the ground truth masks for both 2D and 3D cases. Table REF summarizes the comparison results, which show that our proposed model significantly improved t... | r | b3924c8aa38382dc2d174b84f619f27a |
We analyze in this paper the long-time asymptotics of various geometric flows,
in particular the stability of self-similar solutions.
From the point of view of calculus of variations, many geometric flows can be
seen as the negative gradient flows of some geometric functionals with respect
to certain underlying metric.... | i | 8c32b48677b2515c6a7cb3bb1c6679a6 |
Note that, as we are imposing a homogeneous Dirichlet boundary condition, we do not need to rely on the very technical construction of a recovery sequence presented in {{cite:35c7a08a705fe1b7e0c738242ebb967caa6d6cea}} as we can simply perform a cut-off procedure as in {{cite:178a92df66b074d73b040fede0265008080d938f}}.... | r | 5fa65d65ce35e79a11b010620a6f0c75 |
Finally, the differences between the magnetic and density structure of the simulated and real solar corona, and hence the limitations of the model used for our analysis need to be addressed. The forward modelled EUV emission from the simulated corona is comparatively more diffuse and lacks a lot of fine-scale structure... | d | 5ec7d37883dcc531193a18eb66058939 |
Then, for {{formula:cacb5e4c-6577-466c-bd51-7b0544db02e3}} we get better accuracy since {{formula:4a86bbaa-f844-4319-9cf4-318158bea42a}} is
increased, whereas the opposite happens for {{formula:e4b26ea0-c84d-45bf-8b73-49f909575ffe}} . (iii) The
theory above refers to the estimation of {{formula:073924ec-62ca-4b7e-a0... | d | 951f8b47b2e8736b1e5eb66eb29c3dba |
we can minimize {{formula:0e730263-2f84-4c2a-b4d2-659cf13d80fb}} not only for {{formula:0ff900ed-965b-405c-9c9c-f79f52f62a17}} but for {{formula:e02b7e82-fabc-4453-b791-4a583bae7243}} .
The same arguments hold for the case of RQF.
Actually, we can efficiently compute the gradient of the cost with respect to {{formula... | d | 10bda26144112aafe146e11c6b9abae1 |
The method SEPO, determining the orbit by using only one pulsar, has been proposed and demonstrated with POLAR {{cite:639029364edab1f0256950eba9bf4f0cd52b3e60}} and Insight-HXMT in this paper, respectively. As POLAR has an effective area of about 200 cm{{formula:12e08a15-ae6e-496f-bacb-7401713e0ca6}} and high backgrou... | d | 9b4a7cb96cc4ae2ad3d6dec1685cdd9e |
Cluster algebras, introduced in {{cite:36160d78a27449e1121ea2dfe3bb06fcc29dc77d}}, are a class of commutative algebras which, rather than being
specified a priori, have distinguished sets of generators called clusters, which are produced recursively from an initial {{formula:eaef5582-63a4-4789-b357-c1f65fef4591}} -tupl... | i | 645259cda2c10c7f5e4bca876f24a6a3 |
We could also generalize our tree level higher spin correlator calculation to a wider class of theories. For instance, the ABJ quadrality of {{cite:010bd87a7ff4b9ed8f4bceb98aa57bca687e16d7}} considered not just the 3d {{formula:39b9a47d-0389-405b-b1fd-1abfcfdb5002}} {{formula:02c8bbe9-465f-4e2f-93ce-e5b7fc7ea302}} th... | d | 3fecc9f9c8c667a29219d88afaf4664a |
Origin of the seed photons for the IC scattering in blazars is an open issue, which include the synchrotron photons {{cite:7b360a20c011e05408321cef0ff9c5af90697a7e}}, {{cite:a95d7d0bc22814f7216d6e05510de890082cc720}} and/or external photons (EC process), where the external photons possibly originate from accretion disk... | i | 1c2d3144ca261bf14d396d7ee725d998 |
For a few decades now the phenomenon of spin polarization of the {{formula:530fc35f-589a-40d6-aa22-745ec327e5f5}} hyperons produced in proton-proton and heavy-ion collisions has been an intriguing topic of both experimental and theoretical investigations {{cite:9f81f126a6af89b0be1e6e163c10321568753abc}}. For example, ... | i | 0bbf47ccadf5112b8491ffa05b27f5d1 |
The results in Figure REF are in agreement with the ones
in {{cite:6ff1ff2ad0a46112b78d119fa9e4b9d18b6e808d}}: F1-scores are not identical but close,
and trends are generally consistent. This general agreement between our results
and the ones in {{cite:6ff1ff2ad0a46112b78d119fa9e4b9d18b6e808d}} reinforces our confiden... | d | 656123379af6a33a35160816081f02f8 |
where
{{formula:543af8e5-3e38-40be-924d-bbc35eb9fb83}} is the dipole operator and
{{formula:ce0654af-7b3b-4077-9e88-72cf4b9ad109}} is the incoming-field operator.
Here,
{{formula:3041ffdb-f13a-4d6e-8a22-079434b09a5b}} ,
{{formula:cbd8087c-bcde-4454-90f2-55605a89ed1f}} , and
{{formula:7c4e4f14-5bf1-405c-84fb-46ff4c9c7... | r | 3bd4da2752b53663198f0094c03694fe |
Representation embedding. The current method uses an online learning algorithm that updates its belief dynamically during the B&B as new data becomes available. This is a significant change compared to the standard supervised learning approach where the dataset is generated offline {{cite:7df82ae7fb58c3fd6de5806fe73713... | m | 77594bf3b76a35fb1c82591c5aa5bbf5 |
Classical black holes with absorbing boundary conditions
cannot support minimally coupled scalar field configurations
{{cite:e70c1c4fb3a0287510202f327161cab58cc1fb7e}}, {{cite:f051d6dccbf8d176c2d64b78129ace720682d9dd}}, {{cite:e603880a924f1eab8d1a0609a03f191014cb68cc}}, {{cite:7ab861becb348587cdeb673f91332902d9d0febd}}... | d | 0df0839f368af83517433a6ff5d2d3e7 |
We first train the TCN-based baseline system and proposed Conformer-FFN and TCN-Conformer systems ({{formula:c3d5c72e-8c81-4f11-8f8c-3698d22aa0c1}} stacks) using only the 2-mix dataset. We then train all considered systems using all datasets (2-mix, 3-mix, noisy-mix) together. For both training conditions, we evaluate ... | r | 6ecae65298a1cc9c4baced660b04fa33 |
The theory developed in this paper is presented under the strong assumption that the domain {{formula:40c12959-7ca2-4c01-8714-baeec48ac11f}} be bounded with a {{formula:17987116-1601-41b6-96a0-eff92c843195}} boundary.
The boundedness of the domain is only present to simplify the proofs while the constraint on the bou... | i | 73faf8c05c200868e5f40bcaec99af58 |
Many M31 GCs are resolved in HST observations. Some authors,
including {{cite:9d6ae251e93eaf6fb96f65eae00d32a4f8022206}}, {{cite:01a82d46727e215f2d8ee24f6ed6d51312f04f4e}}, {{cite:cf4e02674a515d8f4b52951e727d01591a32924d}},
{{cite:6686b26a0dfea210ec1deddc488d1dc22ac7a57e}}, {{cite:d19fed3f1987fbf851c7d20dad14c18894b185... | r | 7d196dcfac667bd1a406b8f88c3366c2 |
Local Approximate Gaussian Processes: {{cite:74a4d2152a36ccbf6390354ef37ffc6e1cd070f4}} proposed a sequential design scheme that dynamically defines the support of a Gaussian process predictor based on a local subset of the data. The local subset comprises of {{formula:6b307f7f-e7bd-4278-978c-e60f9bfb59c3}} data point... | m | c64d753a4392b6e94e0431ba5ada747c |
One popular version that attracted much attention in cosmology is the braneworld model with a single large extra dimension and with `induced gravity' on the brane {{cite:176fb2a921642c336bf40e1565611d1422c8ded1}}, {{cite:961b6d762af43b6b9bde64141d767cc413f728ad}}, {{cite:241f943c103a359bf587b99f0abe65e099f17009}}. Amon... | d | 3a213ff08c12c07f34b53286215140db |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.