Zobrazeno 1 - 10
of 456
pro vyhledávání: '"SRIVASTAVA, PIYUSH"'
Publikováno v:
Phys. Rev. D 110, 114505 (2024)
Exploring nuclear physics through the fundamental constituents of the strong force -- quarks and gluons -- is a formidable challenge. While numerical calculations using lattice quantum chromodynamics offer the most promising approach for this pursuit
Externí odkaz:
http://arxiv.org/abs/2411.08962
In contemporary deep learning practice, models are often trained to near zero loss i.e. to nearly interpolate the training data. However, the number of parameters in the model is usually far more than the number of data points $n$, the theoretical mi
Externí odkaz:
http://arxiv.org/abs/2405.16639
Publikováno v:
Probab. Theory Relat. Fields (December 2024, online)
Running a random walk in a convex body $K\subseteq\mathbb{R}^n$ is a standard approach to sample approximately uniformly from the body. The requirement is that from a suitable initial distribution, the distribution of the walk comes close to the unif
Externí odkaz:
http://arxiv.org/abs/2211.04439
It is known from the work of Shearer (1985) (and also Scott and Sokal (2005)) that the independence polynomial $Z_G(\lambda)$ of a graph $G$ of maximum degree at most $d+1$ does not vanish provided that $\vert{\lambda}\vert \leq \frac{d^d}{(d+1)^{d+1
Externí odkaz:
http://arxiv.org/abs/2204.04868
A well-studied challenge that arises in the structure learning problem of causal directed acyclic graphs (DAG) is that using observational data, one can only learn the graph up to a "Markov equivalence class" (MEC). The remaining undirected edges hav
Externí odkaz:
http://arxiv.org/abs/2111.05070
Publikováno v:
Combinatorics, Probability and Computing, 31(2), 320-332, 2022
We obtain a polynomial upper bound on the mixing time $T_{CHR}(\epsilon)$ of the coordinate Hit-and-Run random walk on an $n-$dimensional convex body, where $T_{CHR}(\epsilon)$ is the number of steps needed in order to reach within $\epsilon$ of the
Externí odkaz:
http://arxiv.org/abs/2009.14004
Autor:
Agrawal, Shubhada, Bhandari, Siddharth, Bhattacharjee, Anirban, Deo, Anand, Dixit, Narendra M., Harsha, Prahladh, Juneja, Sandeep, Kesarwani, Poonam, Swamy, Aditya Krishna, Patil, Preetam, Rathod, Nihesh, Saptharishi, Ramprasad, Shriram, Sharad, Srivastava, Piyush, Sundaresan, Rajesh, Vaidhiyan, Nidhin Koshy, Yasodharan, Sarath
Publikováno v:
Journal of the Indian Institute of Science, volume 100, pages 809-847, 2020
We highlight the usefulness of city-scale agent-based simulators in studying various non-pharmaceutical interventions to manage an evolving pandemic. We ground our studies in the context of the COVID-19 pandemic and demonstrate the power of the simul
Externí odkaz:
http://arxiv.org/abs/2008.04849
In neuroscience, an important aspect of understanding the function of a neural circuit is to determine which, if any, of the neurons in the circuit are vital for the biological behavior governed by the neural circuit. A similar problem is to determin
Externí odkaz:
http://arxiv.org/abs/2006.08266
Autor:
Harsha, Prahladh, Juneja, Sandeep, Patil, Preetam, Rathod, Nihesh, Saptharishi, Ramprasad, Sarath, A. Y., Sriram, Sharad, Srivastava, Piyush, Sundaresan, Rajesh, Vaidhiyan, Nidhin Koshy
The nation-wide lockdown starting 25 March 2020, aimed at suppressing the spread of the COVID-19 disease, was extended until 31 May 2020 in three subsequent orders by the Government of India. The extended lockdown has had significant social and econo
Externí odkaz:
http://arxiv.org/abs/2006.03375
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