Zobrazeno 1 - 10
of 3 685
pro vyhledávání: '"P. Vemuri"'
Autor:
Rani, Pooja, Vemuri, M. K.
In [Pooja Rani and M. K. Vemuri, The Brylinski beta function of a double layer, Differential Geom. Appl. \textbf{92}(2024)], an analogue of Brylinski's knot beta function was defined for a compactly supported (Schwartz) distribution $T$ on Euclidean
Externí odkaz:
http://arxiv.org/abs/2410.00555
Autor:
Mishra, Mansi, Vemuri, M. K.
If $T$ is a compactly supported distribution on $\mathbb{R}^{2n}$, then the Fourier transform of $T$ is $p$-th power integrable if and only if the Weyl transform of $T$ is $p$-th power traceable, and the Fourier transform of $T$ vanishes at infinity
Externí odkaz:
http://arxiv.org/abs/2409.16835
Physics-Informed Neural Networks (PINNs) have shown continuous and increasing promise in approximating partial differential equations (PDEs), although they remain constrained by the curse of dimensionality. In this paper, we propose a generalized PIN
Externí odkaz:
http://arxiv.org/abs/2408.13101
Autor:
Mishra, Mansi, Vemuri, M. K.
If $\mu$ is a smooth measure supported on a real-analytic submanifold of $\mathbb{R}^{2n}$ which is not contained in any affine hyperplane, then the Weyl transform of $\mu$ is a compact operator.
Externí odkaz:
http://arxiv.org/abs/2406.03128
How well do representations learned by ML models align with those of humans? Here, we consider concept representations learned by deep learning models and evaluate whether they show a fundamental behavioral signature of human concepts, the typicality
Externí odkaz:
http://arxiv.org/abs/2405.16128
Autor:
Chen, Zoey, Walsman, Aaron, Memmel, Marius, Mo, Kaichun, Fang, Alex, Vemuri, Karthikeya, Wu, Alan, Fox, Dieter, Gupta, Abhishek
Constructing simulation scenes that are both visually and physically realistic is a problem of practical interest in domains ranging from robotics to computer vision. This problem has become even more relevant as researchers wielding large data-hungr
Externí odkaz:
http://arxiv.org/abs/2405.11656
Indian folk paintings have a rich mosaic of symbols, colors, textures, and stories making them an invaluable repository of cultural legacy. The paper presents a novel approach to classifying these paintings into distinct art forms and tagging them wi
Externí odkaz:
http://arxiv.org/abs/2405.08776
Autor:
Chakraborty, Haimanti, Vemuri, Ranga
Logic Obfuscation is a well renowned design-for-trust solution to protect an Integrated Circuit (IC) from unauthorized use and illegal overproduction by including key-gates to lock the design. This is particularly necessary for ICs manufactured at un
Externí odkaz:
http://arxiv.org/abs/2404.07426
Functional MRI (fMRI) research, employing naturalistic stimuli like movies, explores brain network interactions in complex cognitive processes such as empathy. The empathy network encompasses multiple brain areas, including the Insula, PFC, ACC, and
Externí odkaz:
http://arxiv.org/abs/2403.07089
This paper presents a novel concept learning framework for enhancing model interpretability and performance in visual classification tasks. Our approach appends an unsupervised explanation generator to the primary classifier network and makes use of
Externí odkaz:
http://arxiv.org/abs/2401.04647