Ankit Anand

According to our database, Ankit Anand authored at least 26 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Code as Reward: Empowering Reinforcement Learning with VLMs.

David Venuto, Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand

CoRR, 2024

Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection.

Abdullateef I. Almudaifer, Tobias O'Leary, Whitney L. Covington, JaMor Hairston, Zachary Deitch, Ankit Anand, Caleb M. Carroll, Estera Crisan, William Bradford, Lauren Walter, Eaton F. Ellen, Sue S. Feldman, John D. Osborne

CoRR, 2024

2023

GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning.

Mehran Kazemi, Hamidreza Alvari, Ankit Anand, Jialin Wu, Xi Chen, Radu Soricut

CoRR, 2023

Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search.

Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner

CoRR, 2023

AutoMix: Automatically Mixing Language Models.

Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui

CoRR, 2023

Policy composition in reinforcement learning via multi-objective policy optimization.

Shruti Mishra, Ankit Anand, Jordan Hoffmann, Nicolas Heess, Martin A. Riedmiller, Abbas Abdolmaleki, Doina Precup

CoRR, 2023

Accelerating exploration and representation learning with offline pre-training.

Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand

CoRR, 2023

Learning About Progress From Experts.

Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Proving Theorems using Incremental Learning and Hindsight Experience Replay.

Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen Marcus McAleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad

Proceedings of the International Conference on Machine Learning, 2022

2021

Proving Theorems using Incremental Learning and Hindsight Experience Replay.

Eser Aygün, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad

CoRR, 2021

Training a First-Order Theorem Prover from Synthetic Data.

Vlad Firoiu, Eser Aygün, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei M. Zhang, Doina Precup, Shibl Mourad

CoRR, 2021

2020

Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary.

Sai Raam Venkatraman, Ankit Anand, S. Balasubramanian, R. Raghunatha Sarma

CoRR, 2020

Learning to Prove from Synthetic Theorems.

Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad

CoRR, 2020

Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework.

Luckyson Khaidem, Massimiliano Luca, Fan Yang, Ankit Anand, Bruno Lepri, Wen Dong

IEEE Access, 2020

AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition.

Afroz Ahamad, Ankit Anand, Pranesh Bhargava

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2018

Block-Value Symmetries in Probabilistic Graphical Models.

Gagan Madan, Ankit Anand, Mausam, Parag Singla

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017

Coarse-to-Fine Lifted MAP Inference in Computer Vision.

Haroun Habeeb, Ankit Anand, Mausam, Parag Singla

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models.

Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Contextual Symmetries in Probabilistic Graphical Models.

Ankit Anand, Aditya Grover, Mausam, Parag Singla

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Lifting Techniques for Sequential Decision Making and Probabilistic Inference (Extended Abstract).

Ankit Anand

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

OGA-UCT: On-the-Go Abstractions in UCT.

Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla

Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2015

ASAP-UCT: Abstraction of State-Action Pairs in UCT.

Ankit Anand, Aditya Grover, Mausam, Parag Singla

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Novel Abstraction Framework for Online Planning: Extended Abstract.

Ankit Anand, Aditya Grover, Mausam, Parag Singla

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2013

Virtual Machine Placement Optimization Supporting Performance SLAs.

Ankit Anand, J. Lakshmi, S. K. Nandy

Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

2009

Efficient information retrieval via proxy caching mechanisms within a lossy environment.

Ankit Anand, Xiao-Hong Peng, Richard Haywood

Proceedings of the 4th International Conference for Internet Technology and Secured Transactions, 2009

2005

EUCLID: A System for the Exploratory Discovery of Geometrical Properties of Triangles.

Gaurav Pandey, Ankit Anand, Harish Karnick

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005