Ankit Anand - RankMe

46 papers A* 13A 3B 1Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Art of Being Difficult: Combining Human and AI Strengths to Find Adversarial Instances for Heuristics. CoRR Henri Nikoleit, Ankit Anand, Anurag Murty Naredla, Heiko Röglin
2025	J	`jnl`	Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning. CoRR Lynn Cherif, Flemming Kondrup, David Venuto, Ankit Anand, Doina Precup, Khimya Khetarpal
2025	A*	`conf`	Discovering Symbolic Cognitive Models from Human and Animal Behavior. ICML Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Noémi Élteto, Will Dabney, Alexander Novikov, Glenn C. Turner, Maria K. Eckstein, Nathaniel D. Daw, Kevin J. Miller, Kim Stachenfeld
2025	J	`jnl`	GRAIL: Graph Edit Distance and Node Alignment Using LLM-Generated Code. CoRR Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu
2025	A*	`conf`	GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code. ICML Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu
2025	—	`conf`	Melodic and Metrical Elements of Expressiveness in Hindustani Vocal Music. ISMIR Yash Bhake, Ankit Anand, Preeti Rao
2025	J	`jnl`	Melodic and Metrical Elements of Expressiveness in Hindustani Vocal Music. CoRR Yash Bhake, Ankit Anand, Preeti Rao
2025	—	`conf`	Metaverse Techniques, Product Types, and Their Interactions: Stock Market Responses. AMCIS Ankit Anand, Babu John Mariadoss, Daniel Kuzmich, Youngsoo Kim
2024	A*	`conf`	AutoMix: Automatically Mixing Language Models. NeurIPS 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
2024	A*	`conf`	Code as Reward: Empowering Reinforcement Learning with VLMs. ICML David Venuto, Mohammad Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand
2024	J	`jnl`	Code as Reward: Empowering Reinforcement Learning with VLMs. CoRR David Venuto, Mohammad Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand
2024	A*	`conf`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. IJCAI 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
2024	J	`jnl`	Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection. J. Biomed. Semant. 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
2024	A*	`conf`	ReMI: A Dataset for Reasoning with Multiple Images. NeurIPS Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Sreenivas Gollapudi, Dee Guo, Ahmed Qureshi
2024	J	`jnl`	ReMI: A Dataset for Reasoning with Multiple Images. CoRR Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi
2024	J	`jnl`	Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR 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 Strinopoulos, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
2024	J	`jnl`	Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection. CoRR 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
2023	J	`jnl`	Accelerating exploration and representation learning with offline pre-training. CoRR Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand
2023	J	`jnl`	AutoMix: Automatically Mixing Language Models. CoRR 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
2023	J	`jnl`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR 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
2023	J	`jnl`	GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning. CoRR Mehran Kazemi, Hamidreza Alvari, Ankit Anand, Jialin Wu, Xi Chen, Radu Soricut
2023	A*	`conf`	Learning About Progress From Experts. ICLR Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus
2023	J	`jnl`	Policy composition in reinforcement learning via multi-objective policy optimization. CoRR Shruti Mishra, Ankit Anand, Jordan Hoffmann, Nicolas Heess, Martin A. Riedmiller, Abbas Abdolmaleki, Doina Precup
2022	A*	`conf`	Proving Theorems using Incremental Learning and Hindsight Experience Replay. ICML Eser Aygün, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen Marcus McAleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad
2021	J	`jnl`	Proving Theorems using Incremental Learning and Hindsight Experience Replay. CoRR Eser Aygün, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad
2021	J	`jnl`	Training a First-Order Theorem Prover from Synthetic Data. CoRR Vlad Firoiu, Eser Aygün, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei M. Zhang, Doina Precup, Shibl Mourad
2020	B	`conf`	AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition. LREC Afroz Ahamad, Ankit Anand, Pranesh Bhargava
2020	J	`jnl`	AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition. CoRR Afroz Ahamad, Ankit Anand, Pranesh Bhargava
2020	J	`jnl`	Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary. CoRR Sai Raam Venkatraman, Ankit Anand, S. Balasubramanian, R. Raghunatha Sarma
2020	J	`jnl`	Learning to Prove from Synthetic Theorems. CoRR Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad
2020	J	`jnl`	Optimizing Transportation Dynamics at a City-Scale Using a Reinforcement Learning Framework. IEEE Access Luckyson Khaidem, Massimiliano Luca, Fan Yang, Ankit Anand, Bruno Lepri, Wen Dong
2018	A	`conf`	Block-Value Symmetries in Probabilistic Graphical Models. UAI Gagan Madan, Ankit Anand, Mausam, Parag Singla
2018	J	`jnl`	Block-Value Symmetries in Probabilistic Graphical Models. CoRR Gagan Madan, Ankit Anand, Mausam, Parag Singla
2017	A*	`conf`	Coarse-to-Fine Lifted MAP Inference in Computer Vision. IJCAI Haroun Habeeb, Ankit Anand, Mausam, Parag Singla
2017	J	`jnl`	Coarse-to-Fine Lifted MAP Inference in Computer Vision. CoRR Haroun Habeeb, Ankit Anand, Mausam, Parag Singla
2017	A	`conf`	Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
2017	J	`jnl`	Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
2016	A*	`conf`	Contextual Symmetries in Probabilistic Graphical Models. IJCAI Ankit Anand, Aditya Grover, Mausam, Parag Singla
2016	J	`jnl`	Contextual Symmetries in Probabilistic Graphical Models. CoRR Ankit Anand, Aditya Grover, Mausam, Parag Singla
2016	A*	`conf`	Lifting Techniques for Sequential Decision Making and Probabilistic Inference (Extended Abstract). IJCAI Ankit Anand
2016	A*	`conf`	OGA-UCT: On-the-Go Abstractions in UCT. ICAPS Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla
2015	A	`conf`	A Novel Abstraction Framework for Online Planning: Extended Abstract. AAMAS Ankit Anand, Aditya Grover, Mausam, Parag Singla
2015	A*	`conf`	ASAP-UCT: Abstraction of State-Action Pairs in UCT. IJCAI Ankit Anand, Aditya Grover, Mausam, Parag Singla
2013	—	`conf`	Virtual Machine Placement Optimization Supporting Performance SLAs. CloudCom (1) Ankit Anand, J. Lakshmi, S. K. Nandy
2009	—	`conf`	Efficient information retrieval via proxy caching mechanisms within a lossy environment. ICITST Ankit Anand, Xiao-Hong Peng, Richard Haywood
2005	—	`conf`	EUCLID: A System for the Exploratory Discovery of Geometrical Properties of Triangles. IICAI Gaurav Pandey, Ankit Anand, Harish Karnick