Shashwat Sourav

According to our database, Shashwat Sourav authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness.

Subhodip Panda, Dhruv Tarsadiya, Shashwat Sourav, Prathosh A. P., Sai Praneeth Karimireddy

CoRR, October, 2025

The Platonic Universe: Do Foundation Models See the Same Sky?

Kshitij Duraphe, Michael J. Smith, Shashwat Sourav, John F. Wu

CoRR, September, 2025

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models.

Atilla Kaan Alkan, Shashwat Sourav, Maja Jablonska, Simone Astarita, Rishabh Chakrabarty, Nikhil Garuda, Pranav Khetarpal, Maciej Pióro, Dimitrios Tanoglidis, Kartheik Iyer, Mugdha Polimera, Michael J. Smith, Tirthankar Ghosal, Marc Huertas-Company, Sandor Kruk, Kevin Schawinski, Ioana Ciuca

CoRR, April, 2025

Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective.

Subhodip Panda, Shashwat Sourav, Prathosh A. P.

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective.

Subhodip Panda, Shashwat Sourav, Prathosh A. P.

CoRR, 2024

2022

A Bayesian Learning, Greedy agglomerative clustering approach and evaluation techniques for Author Name Disambiguation Problem.

Shashwat Sourav

CoRR, 2022