Zobrazeno 1 - 10
of 1 974
pro vyhledávání: '"P. Sivaram"'
Geometric reconstruction of opaque surfaces from images is a longstanding challenge in computer vision, with renewed interest from volumetric view synthesis algorithms using radiance fields. We leverage the geometry field proposed in recent work for
Externí odkaz:
http://arxiv.org/abs/2411.17067
Low Probability of Detection (LPD) communication aims to obscure the presence of radio frequency (RF) signals to evade surveillance. In the context of mobile surveillance utilizing unmanned aerial vehicles (UAVs), achieving LPD communication presents
Externí odkaz:
http://arxiv.org/abs/2409.17048
The Koopman autoencoder, a data-driven technique, has gained traction for modeling nonlinear dynamics using deep learning methods in recent years. Given the linear characteristics inherent to the Koopman operator, controlling its eigenvalues offers a
Externí odkaz:
http://arxiv.org/abs/2408.11303
We consider piecewise polynomial discontinuous Galerkin discretizations of boundary integral reformulations of the heat equation. The resulting linear systems are dense and block-lower triangular and hence can be solved by block forward elimination.
Externí odkaz:
http://arxiv.org/abs/2408.04080
Publikováno v:
Modern Physics Letters A, 2450073, 2024
The estimation of the Hubble constant in the past few decades has increasingly become more accurate with the advance of new techniques. But its value seems to depend on the epoch at which the measurements are made. The Planck estimate of the Hubble c
Externí odkaz:
http://arxiv.org/abs/2407.18975
The motility-induced phase separation (MIPS) phenomenon in active matter has been of great interest for the past decade or so. A central conceptual puzzle is that this behavior, which is generally characterized as a nonequilibrium phenomenon, can yet
Externí odkaz:
http://arxiv.org/abs/2405.15803
Autor:
Venkatasubramanian, Venkat, Sanjeevrajan, N, Khandekar, Manasi, Sivaram, Abhishek, Szczepanski, Collin
Despite the stunning progress recently in large-scale deep neural network applications, our understanding of their microstructure, 'energy' functions, and optimal design remains incomplete. Here, we present a new game-theoretic framework, called stat
Externí odkaz:
http://arxiv.org/abs/2405.10955
Autor:
Venkatasubramanian, Venkat, Shi, Jessica, Goldman, Leo, M., Arun Sankar E., Sivaram, Abhishek
Contrary to the widely believed hypothesis that larger, denser cities promote socioeconomic mixing, a recent study (Nilforoshan et al. 2023) reports the opposite behavior, i.e. more segregation. Here, we present a game-theoretic model that predicts s
Externí odkaz:
http://arxiv.org/abs/2403.04084
Low Probability of Detection (LPD) communication aims to obscure the very presence of radio frequency (RF) signals, going beyond just hiding the content of the communication. However, the use of Unmanned Aerial Vehicles (UAVs) introduces a challenge,
Externí odkaz:
http://arxiv.org/abs/2402.09426
Autor:
P, Sivaram
We adapt the PDE approach of Guo-Phong-Tong and Guo-Phong-Tong-Wang [17, 18] to prove an $L^\infty$ estimate for transverse complex Monge-Amp\`ere equations on homologically orientable transverse K\"ahler manifolds. As an application, we obtain a pur
Externí odkaz:
http://arxiv.org/abs/2312.16030