2 citations · 3 across the 6 of their papers we have counts for
6 papers
GATE: GPU-Accelerated Traffic Engineering for the WAN
Rahul Bothra, Alexander Krentsel, Saptarshi Mandal +4
Traffic engineering (TE) has become a crucial tool for enforcing routing policy and maintaining operational efficiency in large networks. Existing TE solutions pick an objective fu…
Finite-Time Convergence of Single-Trajectory Chi-Square Robust Q-Learning With Linear Function Approximation
Saptarshi Mandal, Yashaswini Murthy, R. Srikant
Distributionally robust reinforcement learning seeks policies that remain effective when the deployment environment differs from the one that generated the training data. We study…
Partial projected ensembles and spatiotemporal structure of information scrambling
Saptarshi Mandal, Pieter W. Claeys, Sthitadhi Roy
Thermalisation and information scrambling in out-of-equilibrium quantum many-body systems are deeply intertwined: local subsystems dynamically approach thermal density matrices whi…
Thermal transport characteristics of impinging ferrofluid droplets in the presence of a magnetic field
Ram Krishna Shah, Saptarshi Mandal
Droplet interactions with solid surfaces are fundamental to natural phenomena and hold significant commercial relevance across diverse applications. While the impingement dynamics…
A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks
Saptarshi Mandal, Xiaojun Lin, R. Srikant
Knowledge distillation, where a small student model learns from a pre-trained large teacher model, has achieved substantial empirical success since the seminal work of \citep{hinto…
Spectral Clustering for Crowdsourcing with Inherently Distinct Task Types
Saptarshi Mandal, Seo Taek Kong, Dimitrios Katselis +1
The Dawid-Skene model is the most widely assumed model in the analysis of crowdsourcing algorithms that estimate ground-truth labels from noisy worker responses. In this work, we a…