Ankit Anand

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 29

Top Topics

Probabilistic Graphical Models

Extended Abstract

Reinforcement Learning

Top Venues

Publications

David Venuto, Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand
Code as Reward: Empowering Reinforcement Learning with VLMs. CoRR (2024)
Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi
ReMI: A Dataset for Reasoning with Multiple Images. CoRR (2024)
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, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR (2024)
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
Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection. J. Biomed. Semant. 15 (1) (2024)
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
Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection. CoRR (2024)
Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus
Learning About Progress From Experts. ICLR (2023)
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
AutoMix: Automatically Mixing Language Models. CoRR (2023)
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
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR (2023)
Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand
Accelerating exploration and representation learning with offline pre-training. CoRR (2023)
Mehran Kazemi, Hamidreza Alvari, Ankit Anand, Jialin Wu, Xi Chen, Radu Soricut
GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning. CoRR (2023)
Shruti Mishra, Ankit Anand, Jordan Hoffmann, Nicolas Heess, Martin A. Riedmiller, Abbas Abdolmaleki, Doina Precup
Policy composition in reinforcement learning via multi-objective policy optimization. CoRR (2023)
Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen M. Mcaleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad
Proving Theorems using Incremental Learning and Hindsight Experience Replay. ICML (2022)
Vlad Firoiu, Eser Aygün, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei M. Zhang, Doina Precup, Shibl Mourad
Training a First-Order Theorem Prover from Synthetic Data. CoRR (2021)
Eser Aygün, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad
Proving Theorems using Incremental Learning and Hindsight Experience Replay. CoRR (2021)
Afroz Ahamad, Ankit Anand, Pranesh Bhargava
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition. CoRR (2020)
Afroz Ahamad, Ankit Anand, Pranesh Bhargava
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition. LREC (2020)
Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad
Learning to Prove from Synthetic Theorems. CoRR (2020)
Luckyson Khaidem, Massimiliano Luca, Fan Yang, Ankit Anand, Bruno Lepri, Wen Dong
Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework. IEEE Access 8 (2020)
Sai Raam Venkatraman, Ankit Anand, S. Balasubramanian, R. Raghunatha Sarma
Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary. CoRR (2020)
Gagan Madan, Ankit Anand, Mausam, Parag Singla
Block-Value Symmetries in Probabilistic Graphical Models. CoRR (2018)
Gagan Madan, Ankit Anand, Mausam, Parag Singla
Block-Value Symmetries in Probabilistic Graphical Models. UAI (2018)
Haroun Habeeb, Ankit Anand, Mausam, Parag Singla
Coarse-to-Fine Lifted MAP Inference in Computer Vision. IJCAI (2017)
Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR (2017)
Haroun Habeeb, Ankit Anand, Mausam, Parag Singla
Coarse-to-Fine Lifted MAP Inference in Computer Vision. CoRR (2017)
Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS (2017)
Ankit Anand, Aditya Grover, Mausam, Parag Singla
Contextual Symmetries in Probabilistic Graphical Models. IJCAI (2016)
Ankit Anand, Aditya Grover, Mausam, Parag Singla
Contextual Symmetries in Probabilistic Graphical Models. CoRR (2016)
Ankit Anand
Lifting Techniques for Sequential Decision Making and Probabilistic Inference (Extended Abstract). IJCAI (2016)
Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla
OGA-UCT: On-the-Go Abstractions in UCT. ICAPS (2016)
Ankit Anand, Aditya Grover, Mausam, Parag Singla
A Novel Abstraction Framework for Online Planning: Extended Abstract. AAMAS (2015)
Ankit Anand, Aditya Grover, Mausam, Parag Singla
ASAP-UCT: Abstraction of State-Action Pairs in UCT. IJCAI (2015)
Ankit Anand, J. Lakshmi, S. K. Nandy
Virtual Machine Placement Optimization Supporting Performance SLAs. CloudCom (1) (2013)
Ankit Anand, Xiao-Hong Peng, Richard Haywood
Efficient information retrieval via proxy caching mechanisms within a lossy environment. ICITST (2009)
Gaurav Pandey, Ankit Anand, Harish Karnick
EUCLID: A System for the Exploratory Discovery of Geometrical Properties of Triangles. IICAI (2005)