default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRahul Ramesh
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c11]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. ICML 2024- [c10]Rahul Ramesh, Ekdeep Singh Lubana, Mikail Khona, Robert P. Dick, Hidenori Tanaka:
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks. ICML 2024 - [i13]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 abs/2402.07757 (2024) - [i12]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 abs/2407.13841 (2024) - 2023
- [c9]Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. 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: 347-357 - [c8]Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein:
The Value of Out-of-Distribution Data. ICML 2023: 7366-7389 - [c7]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: 28680-28700 - [i11]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 abs/2305.01604 (2023) - [i10]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 abs/2311.12997 (2023) - 2022
- [c6]Rahul Ramesh, Pratik Chaudhari:
Model Zoo: A Growing Brain That Learns Continually. ICLR 2022 - [c5]Yansong Gao, Rahul Ramesh, Pratik Chaudhari:
Deep Reference Priors: What is the best way to pretrain a model? ICML 2022: 7036-7051 - [i9]Yansong Gao, Rahul Ramesh, Pratik Chaudhari:
Deep Reference Priors: What is the best way to pretrain a model? CoRR abs/2202.00187 (2022) - [i8]Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein:
The Value of Out-of-Distribution Data. CoRR abs/2208.10967 (2022) - [i7]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 abs/2210.17011 (2022) - 2021
- [i6]Rahul Ramesh, Pratik Chaudhari:
Boosting a Model Zoo for Multi-Task and Continual Learning. CoRR abs/2106.03027 (2021) - 2020
- [c4]Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran:
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning. ECML/PKDD (2) 2020: 509-524
2010 – 2019
- 2019
- [c3]Rahul Ramesh, Manan Tomar, Balaraman Ravindran:
Successor Options: An Option Discovery Framework for Reinforcement Learning. IJCAI 2019: 3304-3310 - [c2]Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra:
FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. IJCNN 2019: 1-8 - [i5]Rahul Ramesh, Manan Tomar, Balaraman Ravindran:
Successor Options: An Option Discovery Framework for Reinforcement Learning. CoRR abs/1905.05731 (2019) - [i4]Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran:
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning. CoRR abs/1909.04134 (2019) - 2018
- [i3]Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra:
A Question-Answering framework for plots using Deep learning. CoRR abs/1806.04655 (2018) - 2017
- [i2]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 abs/1705.07269 (2017) - [i1]Girish Raguvir J, Rahul Ramesh, Sachin Sridhar, Vignesh Manoharan:
AUPCR Maximizing Matchings : Towards a Pragmatic Notion of Optimality for One-Sided Preference Matchings. CoRR abs/1711.09564 (2017) - 2015
- [c1]Rahul Ramesh, Deepak Gupta:
Influence of learners' motivation on responses to Facebook promotions of online courses. ICACCI 2015: 1728-1733
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-09 21:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
