Zobrazeno 1 - 10
of 30 399
pro vyhledávání: '"A, Chakravarty"'
Autor:
Chakravarty, Sayok, Mubayi, Dhruv
Fix an integer $s \ge 2$. Let $\mathcal{P}$ be a set of $n$ points and let $\mathcal{L}$ be a set of lines in a linear space such that no line in $\mathcal{L}$ contains more than $(n-1)/(s-1)$ points of $\mathcal{P}$. Suppose that for every $s$-set $
Externí odkaz:
http://arxiv.org/abs/2411.14634
Autor:
Yahia, Olfa Ben, Ferguson, William, Chakravarty, Sumit, Benchoubane, Nesrine, Kurt, Gunes Karabulut, Gür, Gürkan, Falco, Gregory
The rapid evolution of communication technologies, compounded by recent geopolitical events such as the Viasat cyberattack in February 2022, has highlighted the urgent need for fast and reliable satellite missions for military and civil security oper
Externí odkaz:
http://arxiv.org/abs/2411.12632
In recent years, advances in artificial intelligence (AI) have transformed structural biology, particularly protein structure prediction. Though AI-based methods, such as AlphaFold (AF), often predict single conformations of proteins with high accura
Externí odkaz:
http://arxiv.org/abs/2410.14898
Autor:
Chakravarty, Arunava, Emre, Taha, Lachinov, Dmitrii, Rivail, Antoine, Scholl, Hendrik, Fritsche, Lars, Sivaprasad, Sobha, Rueckert, Daniel, Lotery, Andrew, Schmidt-Erfurth, Ursula, Bogunović, Hrvoje
Predicting future disease progression risk from medical images is challenging due to patient heterogeneity, and subtle or unknown imaging biomarkers. Moreover, deep learning (DL) methods for survival analysis are susceptible to image domain shifts ac
Externí odkaz:
http://arxiv.org/abs/2409.20195
Resource sharing is a crucial part of a multi-robot system. We propose a Boolean satisfiability based approach to resource sharing. Our key contributions are an algorithm for converting any constrained assignment to a weighted-SAT based optimization.
Externí odkaz:
http://arxiv.org/abs/2408.07942
The double-cone geometry is a saddle of the gravitational path integral, which explains the chaotic statistics of the spectrum of black hole microstates. This geometry is the usual AdS-Schwarzschild black hole, but with a periodic identification of t
Externí odkaz:
http://arxiv.org/abs/2407.04781
Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap
Autor:
Amalanshu, Avi, Nagaswamy, Viswesh, Prudhvi, G. V. S. S., Sirvi, Yash, Chakravarty, Debashish
Vertical Federated Learning (VFL) is a machine learning paradigm for learning from vertically partitioned data (i.e. features for each input are distributed across multiple "guest" clients and an aggregating "host" server owns labels) without communi
Externí odkaz:
http://arxiv.org/abs/2406.17899
Autor:
Nevgi, Rukma, Dey, Subha, Bhattacharya, Nandana, Ershadrad, Soheil, Dan, Tinku, Chakravarty, Sujay, Kaushik, S. D., Klewe, Christoph, Sterbinsky, George E., Sanyal, Biplab, Middey, Srimanta
Understanding how local distortions determine the functional properties of high entropy materials, containing five or more elements at a crystallographic site, is an open challenge. We address this for a compositionally complex spinel oxide (Mn$_{0.2
Externí odkaz:
http://arxiv.org/abs/2406.01156
Autor:
Emre, Taha, Chakravarty, Arunava, Lachinov, Dmitrii, Rivail, Antoine, Schmidt-Erfurth, Ursula, Bogunović, Hrvoje
Contrastive pretraining provides robust representations by ensuring their invariance to different image transformations while simultaneously preventing representational collapse. Equivariant contrastive learning, on the other hand, provides represent
Externí odkaz:
http://arxiv.org/abs/2405.09404
Autor:
Chakravarty, Aditya
Recent transformer-based ASR models have achieved word-error rates (WER) below 4%, surpassing human annotator accuracy, yet they demand extensive server resources, contributing to significant carbon footprints. The traditional server-based architectu
Externí odkaz:
http://arxiv.org/abs/2405.01004