23 citations · 58 across the 35 of their papers we have counts for
9 papers · 1 filter
Status-quo policy gradient in Multi-Agent Reinforcement Learning
Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri +4
Individual rationality, which involves maximizing expected individual returns, does not always lead to high-utility individual or group outcomes in multi-agent problems. For instan…
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks
Ayush Chopra, Esma Gel, Jayakumar Subramanian +5
We introduce DeepABM, a framework for agent-based modeling that leverages geometric message passing of graph neural networks for simulating action and interactions over large agent…
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
Swapnil Parekh, Yaman Singla Kumar, Somesh Singh +3
It is well known that natural language models are vulnerable to adversarial attacks, which are mostly input-specific in nature. Recently, it has been shown that there also exist in…
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors
Ayush Chopra, Rishabh Jain, Mayur Hemani +1
Image-based virtual try-on involves synthesizing perceptually convincing images of a model wearing a particular garment and has garnered significant research interest due to its im…
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms
Sumedh A Sontakke, Sumegh Roychowdhury, Mausoom Sarkar +3
Humans excel at learning long-horizon tasks from demonstrations augmented with textual commentary, as evidenced by the burgeoning popularity of tutorial videos online. Intuitively,…
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring
Yaman Kumar Singla, Avykat Gupta, Shaurya Bagga +3
Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a candidate's speaking proficiency in a language. ASS systems face many challenges like open grammar, variable…