6 citations · 11 across the 6 of their papers we have counts for
6 papers
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection
Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya +1
Data valuation and subset selection have emerged as valuable tools for application-specific selection of important training data. However, the efficiency-accuracy tradeoffs of stat…
Finding High-Value Training Data Subset through Differentiable Convex Programming
Soumi Das, Arshdeep Singh, Saptarshi Chatterjee +2
Finding valuable training data points for deep neural networks has been a core research challenge with many applications. In recent years, various techniques for calculating the "v…
Convex Online Video Frame Subset Selection using Multiple Criteria for Data Efficient Autonomous Driving
Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya +3
Training vision-based Urban Autonomous driving models is a challenging problem, which is highly researched in recent times. Training such models is a data-intensive task requiring…
Current relaxation in the Random Resistor cum Tunneling Network Model through First-Passage route : Regimes and Time-scales
Somnath Bhattacharya
Numerically we study the bulk current relaxation in percolative Random Resistor cum Tunneling Network (RRTN) model through a first-passage route. The RRTN considers an extra semi-c…
Snowmass Energy Frontier Simulations using the Open Science Grid (A Snowmass 2013 whitepaper)
A. Avetisyan, S. Bhattacharya, M. Narain +9
Snowmass is a US long-term planning study for the high-energy community by the American Physical Society's Division of Particles and Fields. For its simulation studies, opportunist…
A Survey on Cross-Layer Design Frameworks for Multimedia Applications over Wireless Networks
Jaydip Sen, Shomik Bhattacharya
In the last few years, the Internet throughput, usage and reliability have increased almost exponentially. The introduction of broadband wireless mobile ad hoc networks (MANETs) an…