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2020 – today
- 2024
[j2]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): 11 (2024)- [c16]David Venuto, Mohammad Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand:
Code as Reward: Empowering Reinforcement Learning with VLMs. ICML 2024 - [c15]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. IJCAI 2024: 6985-6993 - [i18]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, John D. Osborne:
Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection. CoRR abs/2401.15222 (2024) - [i17]David Venuto, Mohammad Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand:
Code as Reward: Empowering Reinforcement Learning with VLMs. CoRR abs/2402.04764 (2024) - [i16]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 abs/2406.09175 (2024) - [i15]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 abs/2407.12687 (2024) - 2023
- [c14]Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus:
Learning About Progress From Experts. ICLR 2023 - [i14]Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand:
Accelerating exploration and representation learning with offline pre-training. CoRR abs/2304.00046 (2023) - [i13]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 abs/2308.15470 (2023) - [i12]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 abs/2310.12963 (2023) - [i11]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 abs/2311.03583 (2023) - [i10]Mehran Kazemi, Hamidreza Alvari, Ankit Anand, Jialin Wu, Xi Chen, Radu Soricut:
GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning. CoRR abs/2312.12241 (2023) - 2022
- [c13]Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen Marcus McAleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad:
Proving Theorems using Incremental Learning and Hindsight Experience Replay. ICML 2022: 1198-1210 - 2021
- [i9]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 abs/2103.03798 (2021) - [i8]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 abs/2112.10664 (2021) - 2020
- [j1]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: 171528-171541 (2020) - [c12]Afroz Ahamad, Ankit Anand, Pranesh Bhargava:
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition. LREC 2020: 5351-5358 - [i7]Afroz Ahamad, Ankit Anand, Pranesh Bhargava:
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition. CoRR abs/2005.07973 (2020) - [i6]Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad:
Learning to Prove from Synthetic Theorems. CoRR abs/2006.11259 (2020) - [i5]Sai Raam Venkatraman, Ankit Anand, S. Balasubramanian, R. Raghunatha Sarma:
Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary. CoRR abs/2010.01488 (2020)
2010 – 2019
- 2018
- [c11]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. UAI 2018: 886-895 - [i4]Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. CoRR abs/1807.00643 (2018) - 2017
- [c10]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS 2017: 1541-1549 - [c9]Haroun Habeeb, Ankit Anand, Mausam, Parag Singla:
Coarse-to-Fine Lifted MAP Inference in Computer Vision. IJCAI 2017: 4595-4602 - [i3]Haroun Habeeb, Ankit Anand, Mausam, Parag Singla:
Coarse-to-Fine Lifted MAP Inference in Computer Vision. CoRR abs/1707.07165 (2017) - [i2]Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam:
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR abs/1707.08879 (2017) - 2016
- [c8]Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla:
OGA-UCT: On-the-Go Abstractions in UCT. ICAPS 2016: 29-37 - [c7]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
Contextual Symmetries in Probabilistic Graphical Models. IJCAI 2016: 3560-3568 - [c6]Ankit Anand:
Lifting Techniques for Sequential Decision Making and Probabilistic Inference (Extended Abstract). IJCAI 2016: 3972-3973 - [i1]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
Contextual Symmetries in Probabilistic Graphical Models. CoRR abs/1606.09594 (2016) - 2015
- [c5]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
A Novel Abstraction Framework for Online Planning: Extended Abstract. AAMAS 2015: 1901-1902 - [c4]Ankit Anand, Aditya Grover, Mausam, Parag Singla:
ASAP-UCT: Abstraction of State-Action Pairs in UCT. IJCAI 2015: 1509-1515 - 2013
- [c3]Ankit Anand, J. Lakshmi, S. K. Nandy:
Virtual Machine Placement Optimization Supporting Performance SLAs. CloudCom (1) 2013: 298-305
2000 – 2009
- 2009
- [c2]Ankit Anand, Xiao-Hong Peng, Richard Haywood:
Efficient information retrieval via proxy caching mechanisms within a lossy environment. ICITST 2009: 1-6 - 2005
- [c1]Gaurav Pandey, Ankit Anand, Harish Karnick:
EUCLID: A System for the Exploratory Discovery of Geometrical Properties of Triangles. IICAI 2005: 2759-2776
Coauthor Index
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