Zobrazeno 1 - 10
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pro vyhledávání: '"Yat, So"'
Language mismatch is among the most common and challenging domain mismatches in deploying speaker verification (SV) systems. Adversarial reprogramming has shown promising results in cross-language adaptation for SV. The reprogramming is implemented b
Externí odkaz:
http://arxiv.org/abs/2411.11353
We propose a novel deep learning approach to nonparametric statistical inference for the conditional hazard function of survival time with right-censored data. We use a deep neural network (DNN) to approximate the logarithm of a conditional hazard fu
Externí odkaz:
http://arxiv.org/abs/2410.18021
Optimization over Stiefel manifolds has found wide applications in many scientific and engineering domains. Despite considerable research effort, high-dimensional optimization problems over Stiefel manifolds remain challenging, and the situation is e
Externí odkaz:
http://arxiv.org/abs/2409.01770
Image-generation diffusion models have been fine-tuned to unlock new capabilities such as image-editing and novel view synthesis. Can we similarly unlock image-generation models for visuomotor control? We present GENIMA, a behavior-cloning agent that
Externí odkaz:
http://arxiv.org/abs/2407.07875
Autor:
Oh, Yong-Geun, Suen, Yat-Hin
Let $\mathfrak{Fuk}(T^*M)$ be the Fukaya category in the Fukaya's immersed Lagrangian Floer theory \cite{fukaya:immersed} which is generated by immersed Lagrangian submanifolds with clean self-intersections. This category is monoidal in that the prod
Externí odkaz:
http://arxiv.org/abs/2404.09485
We propose a monotone splitting algorithm for solving a class of second-order non-potential mean-field games. Following [Achdou, Capuzzo-Dolcetta, "Mean Field Games: Numerical Methods," SINUM (2010)], we introduce a finite-difference scheme and obser
Externí odkaz:
http://arxiv.org/abs/2403.20290
Hamilton-Jacobi Reachability (HJR) is a popular method for analyzing the liveness and safety of a dynamical system with bounded control and disturbance. The corresponding HJ value function offers a robust controller and characterizes the reachable se
Externí odkaz:
http://arxiv.org/abs/2403.16982
Hamilton-Jacobi reachability (HJR) provides a value function that encodes the set of states from which a system with bounded control inputs can reach or avoid a target despite any bounded disturbance, and the corresponding robust, optimal control pol
Externí odkaz:
http://arxiv.org/abs/2403.14184
We study the evolution of conditional mutual information in generic open quantum systems, focusing on one-dimensional random circuits with interspersed local noise. Unlike in noiseless circuits, where conditional mutual information spreads linearly w
Externí odkaz:
http://arxiv.org/abs/2402.18548
Autor:
Oh, Changhun, Chen, Senrui, Wong, Yat, Zhou, Sisi, Huang, Hsin-Yuan, Nielsen, Jens A. H., Liu, Zheng-Hao, Neergaard-Nielsen, Jonas S., Andersen, Ulrik L., Jiang, Liang, Preskill, John
Publikováno v:
Phys. Rev. Lett. 133, 230604 (2024)
We show that quantum entanglement can provide an exponential advantage in learning properties of a bosonic continuous-variable (CV) system. The task we consider is estimating a probabilistic mixture of displacement operators acting on $n$ bosonic mod
Externí odkaz:
http://arxiv.org/abs/2402.18809