Rahul Ramesh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Hypothesis Space

Top Venues

Publications

Rahul Ramesh, Anthony Bisulco, Ronald W. Ditullio, Linran Wei, Vijay Balasubramanian, Kostas Daniilidis, Pratik Chaudhari
Many Perception Tasks are Highly Redundant Functions of their Input Data. CoRR (2024)
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model. CoRR (2024)
Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
The Value of Out-of-Distribution Data. ICML (2023)
Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
A Picture of the Space of Typical Learnable Tasks. ICML (2023)
Jialin Mao, Itay Griniasty, Han Kheng Teoh, Rahul Ramesh, Rubing Yang, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold. CoRR (2023)
Rahul Ramesh, Mikail Khona, Robert P. Dick, Hidenori Tanaka, Ekdeep Singh Lubana
How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks. CoRR (2023)
Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
Prospective Learning: Principled Extrapolation to the Future. CoLLAs (2023)
Rahul Ramesh, Pratik Chaudhari
Model Zoo: A Growing Brain That Learns Continually. ICLR (2022)
Yansong Gao, Rahul Ramesh, Pratik Chaudhari
Deep Reference Priors: What is the best way to pretrain a model? ICML (2022)
Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
The Value of Out-of-Distribution Data. CoRR (2022)
Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
A picture of the space of typical learnable tasks. CoRR (2022)
Yansong Gao, Rahul Ramesh, Pratik Chaudhari
Deep Reference Priors: What is the best way to pretrain a model? CoRR (2022)
Rahul Ramesh, Pratik Chaudhari
Boosting a Model Zoo for Multi-Task and Continual Learning. CoRR (2021)
Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning. ECML/PKDD (2) (2020)
Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra
FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. IJCNN (2019)
Rahul Ramesh, Manan Tomar, Balaraman Ravindran
Successor Options: An Option Discovery Framework for Reinforcement Learning. IJCAI (2019)
Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning. CoRR (2019)
Rahul Ramesh, Manan Tomar, Balaraman Ravindran
Successor Options: An Option Discovery Framework for Reinforcement Learning. CoRR (2019)
Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra
A Question-Answering framework for plots using Deep learning. CoRR (2018)
Girish Raguvir J, Rahul Ramesh, Sachin Sridhar, Vignesh Manoharan
AUPCR Maximizing Matchings : Towards a Pragmatic Notion of Optimality for One-Sided Preference Matchings. CoRR (2017)
Sahil Sharma, Aravind Suresh, Rahul Ramesh, Balaraman Ravindran
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning. CoRR (2017)
Rahul Ramesh, Deepak Gupta
Influence of learners' motivation on responses to Facebook promotions of online courses. ICACCI (2015)