Anand, Ankit

20 publications

ICLRW 2025 Cracking the Code of Action: A Generative Approach to Affordances for Reinforcement Learning Lynn Cherif, Flemming Kondrup, David Venuto, Ankit Anand, Doina Precup, Khimya Khetarpal

ICML 2025 Discovering Symbolic Cognitive Models from Human and Animal Behavior Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Noemi Elteto, Will Dabney, Alexander Novikov, Glenn C Turner, Maria K Eckstein, Nathaniel D. Daw, Kevin J Miller, Kim Stachenfeld

ICML 2025 GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu

ICLRW 2025 GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu

NeurIPS 2024 AutoMix: Automatically Mixing Language Models Pranjal Aggarwal, Aman Madaan, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Manaal Faruqui, Mausam

ICML 2024 Code as Reward: Empowering Reinforcement Learning with VLMs David Venuto, Mohammad Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand

IJCAI 2024 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

ICMLW 2024 GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning Mehran Kazemi, Hamidreza Alvari, Ankit Anand, Jialin Wu, Xi Chen, Radu Soricut

NeurIPS 2024 ReMI: A Dataset for Reasoning with Multiple Images Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi

ICMLW 2023 Accelerating Exploration and Representation Learning with Offline Pre-Training Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand

NeurIPSW 2023 AutoMix: Mixing Models with Few-Shot Self and Meta Verification Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui

NeurIPSW 2023 Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Tudor Berariu, Matej Balog, Gheorghe Comanici, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera Paredes, Laurent Orseau, Petar Veličković, Anurag Murty Naredla, Joonkyung Lee, Adam Zsolt Wagner, Doina Precup

ICLR 2023 Learning About Progress from Experts Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus

ICML 2022 Proving Theorems Using Incremental Learning and Hindsight Experience Replay Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen M Mcaleer, Vlad Firoiu, Lei M Zhang, Doina Precup, Shibl Mourad

UAI 2018 Block-Value Symmetries in Probabilistic Graphical Models Gagan Madan, Ankit Anand, Mausam, Parag Singla

IJCAI 2017 Coarse-to-Fine Lifted MAP Inference in Computer Vision Haroun Habeeb, Ankit Anand, Mausam, Parag Singla

AISTATS 2017 Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam

IJCAI 2016 Contextual Symmetries in Probabilistic Graphical Models Ankit Anand, Aditya Grover, Mausam, Parag Singla

IJCAI 2016 Lifting Techniques for Sequential Decision Making and Probabilistic Inference (Extended Abstract) Ankit Anand

IJCAI 2015 ASAP-UCT: Abstraction of State-Action Pairs in UCT Ankit Anand, Aditya Grover, Mausam, Parag Singla