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Related Work on Optimal Transport Frameworks in Machine Learning. A large body of related works apply optimal transport theory to address various statistical learning problems. These applications include generative adversarial networks (GANs) {{cite:42918b32cd96ceb917422488d459c73b882005c4}}, {{cite:6431cadb1901d4588a8... | i | 5943016ba9f3128c993a4a3350189221 |
Among other similar works, in {{cite:3c3c7e1e74f2f64f855822178be7f74b40eb05bc}}, the authors study in the framework of Bethe-Salpeter equation, the production ratio of neutral to charged kaon pair in {{formula:ec84e6dd-863f-4a90-bfb4-396fe63b14cc}} annihilation below the {{formula:c1ec4f83-4923-4a32-9a13-8264ff427dc6}... | d | 60d684924751e02bf14af67c33fba3bb |
Full Connections. Beyond obtaining information from certain scales, many researches are exploring methods aggregating features from all scales. Kong et al.,{{cite:94e65fdfbd1ee00108a476dec9e93e0098c3288d}} gather features from all levels to a medium level followed by concatenation along channel dimension. For each leve... | m | b953594e57fe289aca69677a5a95c3a8 |
Comparative analysis of MM speech synthesis model's results on U.S. English speech database is presented in Table REF . For evaluation of speech synthesis, experimental results Mean Opinion Score (MOS) and Mel-Cepstral Distortion (MCD) are the most commonly used subjective and objective evaluation metrics. Subjective a... | r | 31e5cbc1c738cdde8777d3d2ce573ff4 |
Built on the above foundations, we turn to verify if this bound is followed by the encoded information of {{formula:1cafbe80-0fdd-4395-97c3-7d523762a5ef}} in an arbitrary sub-system of {{formula:30848954-ba02-47b2-9001-4fd76bf575d5}} as well. The necessity to study this problem lies in that it provides an opportunity... | d | a3d6179a8cd1bb67a6ece9680073161a |
As mentioned in the Related Work section, InstaBoost {{cite:b3b1a46091a91a2e4bc48f08727e345036db8c27}} relies on two operations - shift of instance segments and in-paint of background - to boost the performance of instance segmentation and detection. There are several key differences between PanDA and InstaBoost. First... | d | edce34111616f1da4a004f8400d181a0 |
Modern face recognition methods rely on deep convolutional networks trained on large-scale datasets {{cite:63ba37f79f3f112f6cf596e7503c09f7e2706a2a}}, {{cite:e9c7e472e34e5b5d36a47319ba86ab9468c9bdc1}}, {{cite:e4781723e3233235a521cd04a5ef582c15df73ad}}, {{cite:794a60d40eea784452606f6263af742edbcb1a45}}. These methods ar... | i | 97e041bf92e9762840da32d5cb66b8c6 |
Let {{formula:3a3d677f-c61c-4b72-a0e6-96a5581298a0}} denote the composition of {{formula:d601ebe1-628f-4317-9a45-01ba542ab18e}} with the canonical projection {{formula:ec04f2b6-1b54-477d-9dc6-51fdf7ca682f}} . It is well known that {{formula:c5b774c7-417e-454b-a5c2-3aaad3977d99}} (also known as the level-{{formula:7e... | m | 9ea591d6aec44067e7f13d19e11f1028 |
We notice that the total luminosity change during the transition is by a factor of 1.6, which is smaller than the model-predicted luminosity gap of 2.4, and could be related to matter leaking through the magnetosphere to the NS surface (e.g., {{cite:e4cf72c0fc75b5e80ecf3ec13277ab9fb03c3f18}}, {{cite:f9895e3892a9913297e... | d | 4adad41d2bea300142ca790ec965ca58 |
The Proper Orthogonal Decomposition (POD),
particularly the snapshot method {{cite:a7207deb7278da2cf20f758b4c84f2d0fd6d4744}},
opened an increasingly popular avenue to
data-driven reduced-order modeling {{cite:833e624ae1044c655d4d24f7f1c1dd38d9eac6f0}},
fueled by the increasing availability of high-quality numerical an... | i | a24c450d8ace51aa7dd8ffe4abcd96cb |
During the last century, telecommunication networks' theoretical analysis, design, and control have evolved together with the underlying technology. Starting with the circuit-switched telephone networks of the early twentieth century, through the boom of the packet-switched network that is the Internet, the advent of q... | i | 212a41241031b9f99d0b11c181416644 |
We now evaluate the impact of EMI on the system secure performance, with special focus on the cases with EMI-aware and EMI-unaware eavesdropper; these are referred to as EA and EU in the sequel, for the sake of compactness. The phase noise term {{formula:9254465c-1475-4db8-ad1e-68a60c47bdab}} for the RIS is modeled as... | r | e4de2196f78ed0e98a48f83eb0566f45 |
The works in {{cite:cec018da422d69e33a21600a567b8528f19caecf}}, {{cite:f31bfe0218b538acedf57daeeb47e05f55295147}} demonstrate that GPs can still have superior expressive power and generalization if the kernels are dedicatedly designed. With the belief that deeper models generalize better than the shallower counterparts... | r | e11e4f84d2de6aea3bbec9aa0ea55541 |
As it was mentioned in Section REF , the AVE does not vanish for {{formula:ddc7e266-d471-437b-882b-fda4e5fd3419}} , as it is apparent from eq. (REF ). This means that the AVE does not
need chiral imbalance to show up and persists for a perfectly chirally balanced system.
We interpret this feature - at least in the form... | d | b771cbf581947007fbf891ef28b911ea |
This supplementary material presents additional experimental results and visualizations of our method, which are not included in the main paper.
Section first describes additional experimental results on CIFAR10-C and CIFAR100-C datasets with different severity levels and the classification accuracy with 5 trials.
Sec... | d | 45719097389665a9e87a2f460a0d943a |
We have investigated a generic model of non-linearly evolving dynamical dark energy equation of state {{formula:ff8c1e10-7db1-4fe1-839b-53b8d384580f}} , in the light of the recent Planck, Pantheon, BAO data and recent measurements of {{formula:856567ae-3965-4885-adf9-ee04e0d0141a}} and {{formula:9b1bdcde-063c-4935-8cd... | d | ba62f0cd2d155937d068de621b060164 |
It should be noted that many notes in PMC-Patients have token counts far exceeding BERT's 512 token limits and truncation is applied in our baselines, which suffers from inevitable information loss.
Efficient transformers {{cite:3313315419b8215a7b0b978046c225a29bbbc026}}, represented by Big bird {{cite:68afdd94b804411f... | r | 56aed857de4c24aba63fc6125688123c |
The system of gas dynamics equations for INS in the Euler representation
(e.g {{cite:fd6f1a2e1ea3e27f617d7add8dd78f5fd27cf306}}, {{cite:7dc0d184cb5d621ea4723d362fe5866cfcffe241}}) is:
{{formula:1cd0b6e6-15fa-4bf8-bdb6-914474c6be1a}}
{{formula:4abfb22c-66cb-41c4-9c76-ddd50453c9a5}}
{{formula:63def4dc-c09e-43d1-8ae8-bc... | r | a6b50a199d10b7c2b39b8bad176a7a46 |
To illustrate our proposed method with a concrete example, let us assume that we chose MagFace {{cite:ef182a5c452928388d1e8b0f0524e6baf0b7f66f}} as the underlying unsupervised FIQA method and used the ResNet-100 {{cite:102713cb24a1a3bbc7a13646fe8b8e9fc5e5d842}} model trained with ArcFace loss {{cite:47b0e3c312a530e77c8... | m | e5ec8f7ab76b40c830b6ca06e75ab5c9 |
For the majority of our void galaxy spectra, the value of logO{{formula:8fd7bee7-7312-46fe-807b-43e92fac8028}}
falls below 0.5. Therefore, one expects some corrections of
t{{formula:e58a3381-df6d-4c72-b4a9-bcd544eb7f89}} calculated in papers by
{{cite:d00e6e5b7e85212273639ac6db1a1d0a1eae3aac}}, {{cite:ed9ba17a5aff6ee... | m | 373182a4803cd6c4a77c41c1ee095b00 |
Recent work has incorporated risk into the analysis, with different works working with different risk measures that satisfy various properties.
In the existing literature, the more popular risk measures being considered are mean-variance {{cite:bd59180d0e86604109006ada21d4a697f187a3f0}}, {{cite:64427950862c094ef5e0b73d... | i | 6fe4e11185b5b4eccf4db406608c14b0 |
There are a number of limitations to our work. As we have remarked throughout the paper, both inherent differences between the platforms and differences in data sampling and selection biases make direct and fair comparisons impossible in many cases.
The content collected from the Twitter Decahose is biased toward activ... | d | 60b55db83f8538aa1415b72170040251 |
We used the FedOT-GDA algorithm (Algorithm REF ), that is a distributed mini-batch stochastic GDA, for solving the regularized FedOT's min-max problem as formulated in Proposition REF . We used a batch-size of 20 for every user and tuned the minimization and maximization stepsize parameters {{formula:4807140a-1b06-4be9... | r | 9d464a9dac5446517906c00278c25789 |
Table REF lists the method comparison results. The ones labeled by “ours" were those pruned using the new pruning method proposed in this paper. Three other methods were compared: the feature reconstruction-based methods(ThiNet {{cite:1832618f49685ca2a06201aa9c7eddbf816b772c}}, NISP-50-B {{cite:b256afcb1376439e6577f3d... | r | 25696470e7772fef874c8b0ce6b0bf76 |
In {{cite:454ebe3732f65689b9433a966ba9b5aec820bdc8}}, Bowditch constructs the boundary of a relatively hyperbolic pair {{formula:66415242-0780-42d0-a7d6-47ce1f88f8cd}} and proves that it is compact and Hausdorff, provided that {{formula:28e5b991-938e-4575-a74b-6c996e84929b}} is countable.
In Section , we show that th... | m | bdfc7ac9d857a8379cde1392c0a430e9 |
Graph classification to distinguish the class labels of graphs in a dataset is an important task with practical applications in a large spectrum of fields (e.g., bioinformatics {{cite:bf14ed6ac44f43d19fa5e7a17ea556e386a4e2d4}}, social network analysis {{cite:695f2640398c33793754403d167e97e9b9f3644d}} and chemoinformati... | i | 136130925f0651b5037127af27aef005 |
Backpropagation, as described in the previous section, can provide us with the derivatives of the error surface.
This can be used in a variety of ways to update the weights.
What we just saw, in Equation REF , is known as gradient descent.
One of the most commonly used optimisation methods is Stochastic Gradient Descen... | m | 05f57984738aea09e58477b576105b87 |
We change both selection and classification backbone architectures to ResNet-50 and pre-train them on ImageNet with MoCo-v2 {{cite:892ebae244ab7695367ab654e373157923fd8c8f}} for 800 epochs. We report the experiments in sec:imagenet with the new setting in tab:moco. This table shows that the superiority of {{formula:d52... | m | d6fc598c7c3e711e244e918851298cea |
In Eq.REF , {{formula:543664d5-6455-49bc-8d2e-c1ad410c82f3}} , q, E, V, and {{formula:f2d420bf-fb0b-4481-a461-95222ec97e8a}} refer to the reduced Planck constant, elementary charge of electron, energy, potential, and Fermi distribution function of leads, respectively. Near the equilibrium condition, by shedding the li... | m | 105f0d58eed8e2402a5c98944039d3d4 |
Limitations – COMET works better if there is at least one constant of motion in the system.
If there is no constant of motion, then COMET works similarly like the neural ODE {{cite:9732df8086c12edcce0edacd53d8b719aa7ad4cf}}.
Although we presented a way to find out the number of constants of motion in section , it still... | d | 5c320bac900d440a9dd6ae7efbcaca7f |
cf. (REF ).
Based on the KKT conditions {{cite:c0cb44e42c6b5600ca820a64acc131c736137dfc}}, it has the solution:
{{formula:802dbb22-6d79-4ba4-824c-8493e75b303a}}
| m | a9f91d2181035ed3f43ac9c43b9834be |
Our method is distinct from existing works ({{cite:102c72c88d3975e3433acd10665dd28e03a71629}}, {{cite:669e8064b44922a3d8c29b738e9b45e4cba41beb}}, {{cite:3dfaf8d0b00e8e4f7be013255144056d47e6a285}}, {{cite:00a7da2f89a25a48dc8d09eb703933b9e5007db8}}) that formulate CRFs inference as Recurrent Neural Networks for end-to-en... | m | b2713d4e01b62a47e84df363e3a5853f |
As a traditional vector meson of {{formula:5ddd44c0-ed77-4489-8d4c-84f932c8a3aa}} system, {{formula:f3ef9a76-f7b0-4bc6-87d3-374dab95117e}} is not only a bridge to explore the QCD from light to heavy quarks {{cite:7f0b931565e1898ed3e46cd8562b7486be97b7d2}}, but also its photoproduction process is suitable for studying... | i | d5f8a296413c89f5289852d0a685ecf0 |
In this work, we have proposed a CAM network, MESH, that exhibits a memory continuum, and can be used as a high capacity pattern labeller for recognition/familiarity detection, and locality sensitive hashing. While the convergence time of the Hopfield network scales as {{formula:cbaccdef-053a-44cf-906c-c54238a45a88}} ... | d | 6c583b61b30f309a616b874806224661 |
Random (Rand): Random allocation of token importance.
Attention ({{formula:d6d1499d-e512-41ee-86cf-5cbae2e43299}} ): Token importance corresponding to normalized attention scores {{cite:9018a11210797e1fb8722a9f227fd55ec81045b1}}.
Scaled Attention ({{formula:2ff8207e-7e55-4386-a047-565005edd16f}} ): Scales the atten... | m | fb6775be47b39e158f08265b5aa3c79a |
Compact objects present a tantalizing opportunity to study dark matter candidates. Their strong gravitational fields present a unique environment, and their properties are coming under increased scrutiny thanks to gravitational wave (GW) and X-ray observations.
Most dark matter candidates consider one weakly self-inter... | i | 99c8079d01fe459550065be818a7fd98 |
Could this be an observational artifact caused by changes in the
Thomson-scattering weighting functions? For this to be the case, it
would be necessary that the Thomson weighting functions become narrower
(in angle as seen from the Sun) as the closest approach of the line of
sight to the Sun moves further from the Sun.... | d | 2d7f16d84b5518d17a26826230356ce0 |
Very recently, the ZSL based SBIR systems are developed mainly in conjunction with the deep generative models {{cite:b7716d1969227f5227da820ac1e1532191c60c0a}}, {{cite:e58a94b80f620886c0e95b362aea3bc0b6278cbd}}. In this technique, given a sketch sample, the authors try to learn the corresponding class RGB image by gene... | i | d229a6113dc21eb43dcaee3c7456a9f0 |
In addition to extensive experiments, we also analyzed our method and other automated augmentation methods using the theoretical framework proposed by Chen et al. {{cite:e8c81f06f6d77742154ffbf7e38e384cfd667502}}. Using that framework, we show why uniform sampling is actually expected to achieve good results given an a... | i | f2aede2d9de4c2f126070c68429c9245 |
Hereafter, we compare the results of the proposed approach with 5 popular semantic segmentation models which proved to be effective on a wide variety of segmentation tasks across different domains, namely the original version of DeepLabV3 {{cite:c28007cc0d0bb9c5152c3635c058dc73fea9bcf6}}, its improvement, represented b... | r | fa4b9547915507f4b793b818eeca26bf |
Definition 4 {{cite:d47d704da2619ba4916ec3f3c952dbf0e2af10e8}}
Let {{formula:ad83d92c-8a05-435d-9619-cbc007450ce9}} be a sector of complex numbers. A closed densely defined linear operator {{formula:c6a008a2-79b8-41fe-a6e1-02619386953a}} is called a sectorial operator if there exists a constant {{formula:caa3812a-6a2... | r | 5d9271d2866b95ebbab5065ff299df79 |
We note that recently several works have come out regarding a SUSY explanation of the Fermilab muon {{formula:942afa15-b650-4117-b8d6-59fcdfced55f}} {{cite:081515def0991f90cce777ae21edfffb0b0ee153}}, {{cite:34ab735b34c57a6f67387089d4412d6fde250f57}}, {{cite:3189465143eb773ca04c9771f8d78fa7b8f24647}}, {{cite:734ee56fe1... | r | 481997af31326db07b188ce5f3358399 |
It was pointed out in Ref. cft1 that the operation of
the evolution operator {{formula:45b0030b-e6db-4fd0-ba9d-b53392ff2085}} on any primary operator of the CFT can be
understood in terms of a Möbius transformation of its coordinates
and is therefore given by Eq. REF . This is further
discussed in App. . In this secti... | r | 9f76b4f9bebdbd83a0f7e7537005425e |
Lindsey's method (LM) {{cite:9ce7c8e9d74801c89a02dee280ffc3d12ad81bb0}} recasts density estimation as a regression problem.
{{cite:81c6eebd6fafab3d8a63c445104fbe59da1fe3ff}} describes it as follows. Suppose a random sample {{formula:e4c1679a-9641-451e-afe4-12e2f30cc762}} from a density {{formula:291c7dd0-5f5e-438d-bd9... | m | bf873d0699d72a7a6ea63e83d619cac0 |
Experimental realization of these new quasi-periodic patterns can be also examined in various systems that are candidate of high-dimensional quantum simulation such as the Floquet lattice with multiple frequency driving systems, optical lattice and four-dimensional time crystals{{cite:4e53a542f2beb13d10b70ad165690a1c97... | d | 21ed5b3e26ad0190ad8b38f9fe7aa3e1 |
As we noted in the introduction, DIS scattering in holographic QCD at moderate values of partonic-x
involves hadronic and not partonic constituents {{cite:d6a8e5f58079fcc27a196461b5716723a4388104}}. Indeed, in the large {{formula:b17dcd18-91da-4c44-916f-146c81e085f7}} limit, the leading
single trace twist contribution... | r | 12f0ce5b5693597739cb256fc42b44ff |
A model with SSB, via an explicit potential, usually includes nonlinearities otherwise a nontrivial vacuum cannot occur. This can lead to nonlinear constraints that may cause undesirable physical implications. A theory for a physical system must have a consistent mathematical and causal structure. It also should satisf... | i | 359e952a0ed33beee78dc9bfb40b76e4 |
Initialization. The SDF weights {{formula:2a802e8a-e740-49eb-bec2-cfdd5c1e120c}}
are initialized using the method of {{cite:64127435f1b37b9f85539945fd27db946aeb7805}} such that the initial shape is roughly a sphere. The diffuse albedo {{formula:7a0736b5-c1d8-42ec-a805-b9c8939d7ecd}} is initialized such that predicted... | m | 4f53d02353e4793c40e611d6910900ce |
Werner states as special mixed states can be geometrically described as a curve of states in density operator space, which is from a fully separable mixed state to an entangled pure state {{cite:8f27d139007d00ccfb21f1da97c3b21ee9c1865a}}. There always exists a critical point separating fully separable states and entang... | d | 7ce658060eb8fe548ee9883ae4d68dfa |
This conclusion motivates astronomers to search for the binary companions of nearby SNe. Currently, there are only four core-collapse SNe with direct companion detections, i.e. the Type IIb SN 1993J {{cite:adff480a25240da0b90b6045259efa4542ceb4fd}}, {{cite:21d1bb633dbdfb4e2962713e0111a30b14da977c}}, SN 2001ig {{cite:66... | i | da660e99603e17f6efc45c9902c7dabe |
However, we get such a quantum cosmological picture within the scheme of a quantum {{formula:904c6ffd-0687-4d0e-855e-3db79d4f3912}} extension of gravity as viewed in the Jordan frame {{cite:cde384151ce1e6be2d50bbf8d52083afda245b43}}, {{cite:a1b706b5fc7e0d49232f323482371f1724118545}}. This choice is well-motivated by t... | i | ba2d4b780383f813cd5527739176f04f |
We recommend empirical researchers to examine the covariate imbalance using both formal and informal diagnostics, and when possible, incorporate the quality of statistical matching into their outcome analysis. For instance, one way to do this is to perform a randomization inference under a biased randomization scheme u... | d | c8c2211f9dc8557b88c80c86d53b9042 |
where {{formula:f17a7e87-e6ac-4e4a-85a8-e58a631e5511}} . Then, after generating multiple bootstrap samples, the user will reject the null hypothesis if the test statistic (REF ) falls outside a certain percentile of the empirical histogram of the bootstrap samples, otherwise the null hypothesis is not rejected. Under ... | m | bc95d3a0bd18787b02d2964c24aa7e32 |
The focus of this study will be on incorporating this process into a new global analysis, while accounting for the uncertainty of the data-driven theory, to determine the nuclear gluon PDF with greater accuracy than previously possible.
A precise knowledge of the nuclear PDFs is important for the following reasons:
Fir... | i | f5f9f9dd1d5457f39b4702965f2cf03c |
To acquire a more complete understanding of the phases and transitions
in the NRKHM, we present the DOSs [Eq. ()], the averaged
AGRs [Eq. (REF )], the minimum of IPRs [Eq. (REF )]
and the measure of critical mobility edge phase {{formula:8f26a587-b364-4389-a38d-593eba4cee1a}} [Eq. (REF )]
versus the amount of hopping ... | r | 8747bbcebeea02955577288d7205bfaa |
Modular invariance is an promising framework to address the flavor puzzle of the standard model. In recent years, much effort has gone into the study of lepton models based on inhomogeneous and homogeneous finite modular groups. In the present work, we have performed a systematical analysis of the possible lepton and q... | d | 9dfc81ff282ec6bcc9f9724f331a7c24 |
are given in terms of Mittag-Leffler (M-L) functions {{cite:d6e0ddff7877519342a4d86fae1054012a31c1b1}}, {{cite:afd0aa47e00891e98c5dd15f2f2f92af0e39e88c}} {{formula:ece4e7cf-0268-47ad-bfca-0bc5eba1b348}} . M-L functions may be thought of a generalized exponentials that are defined by the series expansion
{{formula:ab7b9... | i | 36db096132711485f3957a0bd408703f |
In another hand, the ESTC algorithm can only achieve optimal regret bound in data poor regime and becomes suboptimal in the data rich regime. It is interesting to have an algorithm to achieve optimal regrets in “best of two worlds". Information-direct sampling {{cite:0d9c1059cdb4f4a1dc33a142ef8d7cec88dd31c7}} might be ... | d | 057b6e9ce455a223cb47d06e3bbd2831 |
Historically, there are some asymptotic analysis methods that can be used to derive the macroscopic governing equation (REF ) from the MDF-LBM {{cite:621cdb97d847ad79f4b7ad249e3cb9975a4aa493}}, including the Chapman-Enskog analysis {{cite:47b5b56e50d741e0cb92ce906886b7fb1e74b282}}, {{cite:c0c578503a6e4c73cf2265b8205bc5... | m | a06bb669be405e506ef9ce2ebf6bc814 |
A model of the mental lexicon also requires representations for words' meanings. Word meanings are likewise coded numerically, making use of high-dimensional distributed representations, the individual dimensions of which do not necessarily have a straightforward interpretation. Importantly, vectors which are more simi... | i | fd583a102e98e7aea8d9bb61a9bdbca3 |
In this section, we numerically demonstrate the robustness of our algorithm in terms of both maximizing robust reward value function and satisfying constraints under model uncertainty. We compare our RPD algorithm with the heuristic algorithms in {{cite:df9dfba1d7d47df69fd60b8cca39ed617bf31020}}, {{cite:a8149fca14db199... | r | 7a28c1509c1ab75cb27fd2fc961cc81d |
In this section we present an example of the proposed correction. We
focus on count data with low counts since this is usually a
challenging case as well as low dimension random effects like the
second order random walk model. Throughout we use MCMC
as the gold standard and compare VBC to the Laplace method and
INLA ({... | r | 4804ed955d9ba19b28b6280bc85854cd |
One of the next steps would be to explore if QAOA can be valuable in applications that require BLLS as a subroutine, such as NBMF {{cite:f6a7437c6173bdf4f408b9d88713ff9338045ca3}}. Another step can be to try the BLLS problem on other types of quantum computers {{cite:01ff2973ec627189768452b670be5b23a1a43e40}}, {{cite:2... | d | 8b86d42eccd1e514fdb0d53ff8b8a119 |
Qualitative Results on Car and Church categories. To show the generalization ability of our proposed method, we performed image editing on two additional datasets of cars and churches.
For cars, we performed three edits: pose-change, background-change and background removal as shown in top three rows in Fig. REF . For ... | m | 72d4ea4501dda657e210736084c1939e |
{{cite:38cc7810baa3fd4a0de8cd23369f0c654bfb00e6}} did not consider the case of {{formula:e456d98e-5d5f-42b2-b617-b2b27b4bb460}} , but its framework can actually be applied to CFT{{formula:0db724aa-0827-4e22-bbc6-b9a049612f4a}} . In the case {{formula:43096ad9-52ff-4cbf-ad38-cff5def74dad}} , one can immediately see that... | d | 5f7e3cd3de5251093c88dd463da163a6 |
A second theme addresses versions of the Frank-and-Wolfe theorem where the class of quadratic functions
is further restricted. One may for instance ask for sets {{formula:4e07e3f7-e22a-4645-ae6c-2dc5643cad04}} on which convex or quasi-convex quadratics attain their finite infima.
It turns out that this class has a com... | i | de92f45397fb5d4d911cb4f751cc8a99 |
In this section, we compare our results with state-of-the-art methods on CUHK03 and Market1501 datasets. Notice that we do not use any additional modules (e.g., IBN-Net) or post-processing methods (e.g., Re-Rank {{cite:74a6e2b2681b5dada8436246c0338a1895480e46}}).We just simply apply UP-ReID pre-trained vanilla ResNet50... | m | c046ec0241c70496d9186c0984192a20 |
As mentioned in Section 5.5 (Tables 5,6 and Figure 7) of the main paper, we apply D&D, D&D++ and all other de-biasing baselines on the Resnet-50 version of Arcface {{cite:01828282bc02d283e6da4e3221ef6da1b01562fd}} to evaluate their generalizability. The gender bias analysis and skintone bias analysis for all the method... | r | b31ee80b5907c9bef908d044d6639f33 |
A common assumption in the imaging literature, validated empirically by {{cite:27118de94c0cb994f6d865661a9b9c83a16eb9f1}}, is that distributions of natural images live on low dimensional manifolds. Understanding whether these distributions are composed of separated modes or not remains, to the best of our knowledge, an... | d | efd3a92c3aa324bbce25ae2881e0be05 |
Data Augmentation (Fig. REF , {{formula:c8eadb87-5c14-4455-9f49-f3cb8c23e8f5}}{{formula:07d1249f-29bb-4594-8b1e-b5c7a23228c6}} ).
When augmenting input scenes, we first translate them to the origin by subtracting the centroid from all point positions.
By doing so, we make sure that the two scenes are overlapping in the... | m | 50ed25ed3027591a8d8685223c9e1d6e |
One of the most fascinating features of quantum mechanics is that the vacuum is filled with virtual particles. In extreme physical conditions these particles can be promoted to real at the expense of a high energy field. For example, Hawking radiation is predicted to be emitted from outside the event horizon of a black... | i | 758017b6ca1ef788f0bf492589a0980d |
In this paper, we aim at bridging this gap and designing model families with high accuracy and inference speed, by taking into consideration hardware architecture details of TPUs and GPUs for both NAS and model scaling. We first analyze DC accelerators to find performance bottlenecks. Our analysis reveals the root caus... | i | e5607b68d6c4ad90416cbdf606712423 |
Very recently, the use of energy-efficient spiking neural networks (SNNs) for radar processing has grown to become an emerging topic in radar sensing and is currently being investigated by many teams {{cite:aa250063a623c70ce4f9053ad63d4225c977fd4b}}, {{cite:c7caa81c64b2ae218204d4af1feaa0217a820be2}}, {{cite:6f28ec95055... | i | ad7e9a3626707c781762427a0b48fb41 |
The response scaling function has also been shown to dictate the response time not just for the mean of the current but the pulsatile components as well. This has an important consequence in that for any given network of compliant vessels there is a set timescale over which any section of the network will be able to re... | d | d5010bc188ed246902a1077ac3fa14ba |
By using a physical observable like {{formula:21ab5816-dee5-4ddb-921b-29422aa39ffe}} , the leading singular terms {{formula:912b33eb-30ab-413e-ae2b-20d6723b8f78}} can be computed using a factorization theorem for the cross section {{cite:e4272c1b40f12c4fd488620c485b51dfd7317b8c}}, {{cite:1bf6c4f2f051f5bc107c5a71c945e7... | i | 86b7d4068337bb2f7ca379a9cbaaf1b3 |
Many other ideas follow from a better understanding of computation in general, and how neurons might actually be engaged in non-digital computation, such as analog computation. Some have claimed that computation requires software, or the ability to be programmed {{cite:c2428fcaeb04d0cc2a1d3c7f10e2ca2ecc8914e5}}; others... | d | 735e200e8c99b4b46837d6a50bf52911 |
Sections §REF , §REF and §REF discuss LAB areas, influence of the parametes used, and bias factor of LABs.
Other uncertainties include assumption that particles inside a halo are spherically symmetrically
distributed, lack of radiative transfer calculation {{cite:601596272ffc3163092c44532714d941438208ee}}, and lack o... | d | e95790f7cbeb8305950544204fb2774e |
The usage of transfer learning for skin lesion classification in this work was additionally motivated by recent skin cancer classification study {{cite:40010fc9f9938687cce98e91284bce246c734154}}. It was performed by retraining the weights of the last three layers, where our version has seven neurons in its output layer... | m | fbb7002fa0067d07f5de03a148c2a79f |
The two following sections are heavily inspired from the recent {{cite:ece4c5da784dac816dc5f3d0e7674f66ac2e5909}}, and should be considered as a necessary reminder in view of extending our time-frequency ({{formula:b305f365-ec06-4301-b0a4-93aa292db4b6}} ) approach to the time-space-frequency-wavevector {{formula:afbe1d... | i | a407280db8339a623494cd395e5d90d4 |
Finally, the proof of our main lower bound, presented in Section , relies on a combination of some delicate exact computations and multiple applications of the matrix Chernoff and Bernstein inequalities {{cite:fa9868aeb0c0766b43a4e83c6982b1cf985dc519}}. Technical difficulties aside, the main challenge in proving our lo... | r | 1c609c18a758cbec0953bf501f7e7185 |
In the past few years, several work have attempted to establish that PG and SPG converge to a global optimal point for various classes of policies {{cite:81b79b8e37bf4ecd191f2c60465b2f011179a400}}, {{cite:0bedd38e65e0fa75f15797b85baeee2ec2ecf173}}.
For instance, for Fisher non-degenerate policies, Liu et al. {{cite:8a0... | d | 72571add75aaf537de75519f50fd8a32 |
For our simulations, the carrier frequency is set to 73 GHz and the mmW bandwidth is 1 GHz. In this case, the value of the wavelength lambda of the carrier frequency is {{formula:32248ff8-e776-4282-b81a-6f31e38af7b9}} mm. The number of transmit antennas at the mmW AP and receive antennas at the UE are set to 128 and 6... | r | 150ac5ac91264f45e072d9c9c3027680 |
the local {{formula:cc7bfc54-96ca-4fc2-80b1-dd4b386c651b}} -regularity of solutions was completed under the assumption that {{formula:cc06dc62-2832-44d4-b2bc-3df212140916}} is continuous and bounded; see {{cite:8790ef9c850657c9d70ac55dc683e31f32e005bf}} for the degenerate case {{formula:afc7ebe6-15bc-4ba5-bf48-260bbc4... | i | 70c0277a1162223452c7a32da87ba55f |
where {{formula:cf2ac7e0-dbf3-4f29-890b-fd05fda9c61f}} , {{formula:0d30be57-5e61-4c38-a94e-f76d12be231c}} , {{formula:3cae11e7-f2b9-4056-98d8-befce4ddc2a0}} is the spin-dimensionality.
For the 3D-Heisenberg model, there is {{formula:b8461dd7-65f1-4705-9b4d-9b4cc31d0adb}} 3 and {{formula:4928cd4c-4253-4ab3-80d3-f6bcc9... | r | 8bdc0d8e427db0286fe55c7c26e1594d |
A widespread classification of quantum correlations termed as entanglement, EPR steering,
and Bell nonlocality, from a quantum-information perspective was given by Wiseman et al.
{{cite:3587a2e0784f75dce8d467f2a57b3d3a5cfa6c1b}}, {{cite:3907765dc94ed907d9b7e66b8a2c587e4116dc89}}, {{cite:629cb601c04518e0bf5b5daad26fdb97... | d | bca3d8e9e1e96bbdcae0a6f9f1a6e583 |
Applying Au's Mathematica package {{cite:032e5f6ad9d910dae7dbb44aa7b3044aecef895a}}, {{cite:e93b1387da44821385cbcd40227f75ef39d527ec}}, we can find many explicit evaluations of AMTVs and AMSVs. We listed some cases, please see Examples REF , REF and REF .
| r | 357f699346db30466cc31063b60b09d5 |
One can then show {{cite:40b06243ded569d803678f243d3f59c1b4038b19}}, {{cite:443e0e5f7d72a1cd5d572c648decb90951579f9c}} that for every {{formula:339b03cf-f70e-4052-bba3-7a214f11fdda}} : {{formula:b0583f15-61dc-47d0-b05d-fab7d6517299}} for some {{formula:5932db10-d44a-4088-90f5-94634a54d0e2}} . This number, denoted by {... | i | 668de98c5d25b6912fb0c159ac533729 |
Kingma et. al {{cite:589d94b95d0c3d25a271e4379b33a0124bbf1935}} have first addressed the problem of semi-supervised classification using variational inference. Subsequent works {{cite:77414f2fd20a780754b0e4b1bcec3be13fe38189}}, {{cite:3423ba36b2f14f70e77b969ac2550c28075e47dc}} improve upon Kingma's work by introducing ... | i | dc4478c7bcb626ff0d0f3fb012c6827f |
Nevertheless, the negative sampling techniques suffer from the following limitations.
Firstly, they introduce additional computation and memory costs.
In existing CF-based methods, the negative sampling algorithm should be carefully designed in order to not select the observed positive user-item pairs.
Specifically, to... | i | a73fc92fe80399975236ffd36634ee35 |
The vast majority of extractive, non-neural summarization algorithms use four data-sets for performance evaluation, exhibiting an interesting pattern. Unsupervised summarization methods majorly evaluate performance on DUC data-sets ({{cite:8f694aa0c7f163c143b4f0e8309f2463d826336d}}, {{cite:f58faedce3c83ffa6a4b276013c87... | d | 42877be5be5663dbcedf47f324e77420 |
Since the other 3D editing methods apply to specific architectures or have their generator part, we pick 2D attribute manipulators that have been proven to work well on 2D generators as baselines. They can also be applied to latent spaces of 3D GANs.
InterFaceGAN {{cite:abaa2e95e3ae882149ccec788ace6a1d12e23c79}} and St... | m | 77d3521ccc9d43163298a0ce8b825779 |
In the same time, AI is often presented as a solution to environmental problems, often under the larger scope of IT for Green {{cite:826c9493acee0eb04455d96f547aeed60deb8c1e}}, {{cite:fefe831874ea5bfa04b4241a6d815f9fc92164ea}}. The negative environmental impacts are briefly evoked - and in particular rebound effects {{... | i | 0118a62a2e02eef3a9a716fcbcaa1b09 |
While the simplicity of the purely topological measures we have considered are important as starting places for understanding MCMC for trees, extending this work to branch lengths via BHV space {{cite:f2af595b8a30c83bc0cbd4b2fa331572af8c396d}} is an interesting possibility.
This would have the advantage of additionally... | d | 4a2e58b71774909f9c0bcdac2fc5fb96 |
We operationalise `topic' as a community
in a citation network of papers, i.e. as a
cohesive subgraph that is well separated from the rest of the network
{{cite:3ae25cb575ef75e5311fd7df2c4bc19cd8c1fccb}}.
Hierarchical and poly-hierarchical organisation inevitably reduce cohesion because larger communities include boun... | m | 3068cc517312abf0007e43948a63b4f1 |
Reservoir computing is a neuromorphic inspired machine learning paradigm, which enables high-speed training of recurrent neural networks and is capable of solving highly complex time-dependent tasks.
First proposed by Jaeger {{cite:f22f20d0b8310cb64b626f45243847ce1d34e340}} and inspired by the human brain {{cite:640370... | i | c0b2970ff2a575c0af4e9e0db2ed6fff |
Relation to the Inference Model in {{cite:ea579f4341b97458ff7047a95e54cf6097e600b0}} The inference
model proposed in our conference version paper {{cite:ea579f4341b97458ff7047a95e54cf6097e600b0}} is a simplified
version of Eq. (REF ), where {{formula:4307f132-a72c-440f-ad4c-8f8a82514ab0}} s are set to 0 and
linkage b... | d | fa4545f8ea0d86152c4443f59a44f926 |
In order to prove it, it was useful to introduce a refined classification of MMG theories by means of type-a and type-b theories.
In type-a theories gravitational waves have the usual dispersion relation, whereas in type-b theories the dispersion relation is modified. To our knowledge, the proof that cuscuton and VCDM ... | d | 4a93b430ae87640b8717f5aae2531f3e |
Usually, the prior information consists of global quantities calculated from
{{formula:55977158-a25b-4256-b7cb-e2a7b6651e63}} , i.e., from all the data set. For Poisson
processes, only one quantity is necessary: the mean rate
{{formula:caa2178b-29b5-4058-aa01-96fb51fa7665}} . Considering the conjugate prior of the Pois... | m | 6de5767cdbf224bdec35a2e03ed595ff |
Our approach utilizes a reference atomistic trajectory (or set of atomistic trajectories) for a molecule we intend to backmap. The trajectory contains {{formula:96a4fe54-82df-4eea-9ef6-0e2d2ae77875}} atoms and is composed of a collection of {{formula:0bf00e1a-2c15-422a-9e28-ea426fa69c64}} frames {{formula:e8436df5-1a... | m | 4da755f7ef5b794379de85026561679e |
The PINN method, developed by {{cite:517c62c948f173b22ff14360e4d2604a6c7b0df5}} (first published in arxiv in 2017), addresses the forward deterministic PDE problem by constructing a NN approximator, parametrized by {{formula:2e392b65-deb3-4267-baaa-0092338212f2}} , for modeling the solution {{formula:94c66492-803d-4a7b... | m | dfd5a7f0828c177d3f7770e717ed2d56 |
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