Rahul Ramesh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations. | Anthony Bisulco, Rahul Ramesh, Randall Balliestro, Pratik Chaudhari |
| 2025 | ICML | Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing. | Kento Nishi, Rahul Ramesh, Maya Okawa, Mikail Khona, Hidenori Tanaka, Ekdeep Singh Lubana |
| 2025 | MICCAI | Federated and Continual Learning of AI Models from Routine Clinical Data Under Privacy Constraints. | Varghese Alex Kollerathu, Vineet Vinay Bhombore, Rahul Ramesh, Abhinandan Tejani, Matthias Wolf, Gerardo Hermosillo Valadez |
| 2024 | ICML | Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model. | Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka |
| 2024 | ICML | Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks. | Rahul Ramesh, Ekdeep Singh Lubana, Mikail Khona, Robert P. Dick, Hidenori Tanaka |
| 2023 | ICML | A Picture of the Space of Typical Learnable Tasks. | Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari |
| 2023 | ICML | The Value of Out-of-Distribution Data. | Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein |
| 2022 | ICLR | Model Zoo: A Growing Brain That Learns Continually. | Rahul Ramesh, Pratik Chaudhari |
| 2022 | ICML | Deep Reference Priors: What is the best way to pretrain a model? | Yansong Gao, Rahul Ramesh, Pratik Chaudhari |
| 2019 | IJCAI | Successor Options: An Option Discovery Framework for Reinforcement Learning. | Rahul Ramesh, Manan Tomar, Balaraman Ravindran |
| 2019 | IJCNN | FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. | Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra |