EUCLID: A System for the Exploratory Discovery of Geometrical Properties of Triangles. - Gaurav Pandey; Ankit Anand; Harish Karnick (IICAI, 2005)

Efficient information retrieval via proxy caching mechanisms within a lossy environment. - Ankit Anand; Xiao-Hong Peng; Richard Haywood (ICITST, 2009)

Virtual Machine Placement Optimization Supporting Performance SLAs. - Ankit Anand; J. Lakshmi; S. K. Nandy 001 (CloudCom (1), 2013)

A Novel Abstraction Framework for Online Planning: Extended Abstract. - Ankit Anand; Aditya Grover; Mausam; Parag Singla (AAMAS, 2015)

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

OGA-UCT: On-the-Go Abstractions in UCT. - Ankit Anand; Ritesh Noothigattu; Mausam; Parag Singla (ICAPS, 2016)

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

Contextual Symmetries in Probabilistic Graphical Models. - Ankit Anand; Aditya Grover; Mausam; Parag Singla (IJCAI, 2016)

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

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

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

AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition. - Afroz Ahamad; Ankit Anand; Pranesh Bhargava (LREC, 2020)

Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework. - Luckyson Khaidem; Massimiliano Luca; Fan Yang 057; Ankit Anand; Bruno Lepri; Wen Dong 001 (IEEE Access, 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)

Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary. - Sai Raam Venkatraman; Ankit Anand; S. Balasubramanian 001; R. Raghunatha Sarma (CoRR, 2020)

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)

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)

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 (ICML, 2022)

Learning About Progress From Experts. - Jake Bruce; Ankit Anand; Bogdan Mazoure; Rob Fergus (ICLR, 2023)

Accelerating exploration and representation learning with offline pre-training. - Bogdan Mazoure; Jake Bruce; Doina Precup; Rob Fergus; Ankit Anand (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)

GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning. - Mehran Kazemi; Hamidreza Alvari; Ankit Anand; Jialin Wu; Xi Chen 071; Radu Soricut (CoRR, 2023)

Code as Reward: Empowering Reinforcement Learning with VLMs. - David Venuto; Mohammad Sami Nur Islam; Martin Klissarov; Doina Precup; Sherry Yang 001; Ankit Anand (ICML, 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; et al. (IJCAI, 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; et al. (NeurIPS, 2024)

ReMI: A Dataset for Reasoning with Multiple Images. - Mehran Kazemi; Nishanth Dikkala; Ankit Anand; Petar Devic; Ishita Dasgupta 001; Fangyu Liu; Bahare Fatemi; Pranjal Awasthi; Sreenivas Gollapudi; Dee Guo; Ahmed Qureshi (NeurIPS, 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; Ellen F. Eaton; Sue S. Feldman; et al. (CoRR, 2024)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. - Irina Jurenka; Markus Kunesch; Kevin R. McKee; Daniel Gillick; Shaojian Zhu; Sara Wiltberger; Shubham Milind Phal; Katherine L. Hermann; Daniel Kasenberg; Avishkar Bhoopchand; Ankit Anand; Miruna Pîslar; et al. (CoRR, 2024)

LearnLM: Improving Gemini for Learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Brett Wiltshire; Brian Veprek; Daniel Gillick; Daniel Kasenberg; Derek Ahmed; Irina Jurenka; James Cohan; Jennifer She; et al. (CoRR, 2024)

Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection. - Abdullateef I. Almudaifer; Whitney L. Covington; JaMor Hairston; Zachary Deitch; Ankit Anand; Caleb M. Carroll; Estera Crisan; William Bradford; Lauren Walter; Ellen F. Eaton; Sue S. Feldman; John D. Osborne (J. Biomed. Semant., 2024)

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 (CoRR, 2025)

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

Evaluating Gemini in an arena for learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Ankit Anand; Avishkar Bhoopchand; Brett Wiltshire; Daniel Gillick; Daniel Kasenberg; Eleni Sgouritsa; Gal Elidan; Hengrui Liu; et al. (CoRR, 2025)