Chanakya Ajit Ekbote

According to our database, Chanakya Ajit Ekbote authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains.

Chanakya Ekbote, Marco Bondaschi, Nived Rajaraman, Jason D. Lee, Michael Gastpar, Ashok Vardhan Makkuva, Paul Pu Liang

CoRR, August, 2025

PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts.

Hengzhi Li, Brendon Jiang, Alexander Naehu, Regan Song, Justin Zhang, Megan Tjandrasuwita, Chanakya Ekbote, Steven-Shine Chen, Adithya Balachandran, Wei Dai, Rebecca Chang, Paul Pu Liang

CoRR, June, 2025

QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training.

Wei Dai, Peilin Chen, Chanakya Ekbote, Paul Pu Liang

CoRR, June, 2025

Understanding the Emergence of Multimodal Representation Alignment.

Megan Tjandrasuwita, Chanakya Ekbote, Liu Ziyin, Paul Pu Liang

CoRR, February, 2025

TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models.

Jaewoo Lee, Keyang Xuan, Chanakya Ekbote, Sandeep Polisetty, Yi R. Fung, Paul Pu Liang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Local to Global: Learning Dynamics and Effect of Initialization for Transformers.

Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar, Chanakya Ekbote

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations.

Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Sundararajan Sellamanickam, Ramakrishna Bairi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions.

Chanakya Ekbote, Moksh Jain, Payel Das, Yoshua Bengio

CoRR, 2022

A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks.

Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Biological Sequence Design with GFlowNets.

Moksh Jain, Emmanuel Bengio, Alex Hernández-García, Jarrid Rector-Brooks, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Jie Fu, Tianyu Zhang, Michael Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio

Proceedings of the International Conference on Machine Learning, 2022

2020

A Stochastic Game Framework for Efficient Energy Management in Microgrid Networks.

Shravan Nayak, Chanakya Ajit Ekbote, Annanya Pratap Singh Chauhan, Raghuram Bharadwaj Diddigi, Prishita Ray, Abhinava Sikdar, Sai Koti Reddy Danda, Shalabh Bhatnagar

CoRR, 2020

Stochastic Game Frameworks for Efficient Energy Management in Microgrid Networks.

Shravan Nayak, Chanakya Ajit Ekbote, Annanya Pratap Singh Chauhan, Raghuram Bharadwaj Diddigi, Prishita Ray, Abhinava Sikdar, Sai Koti Reddy Danda, Shalabh Bhatnagar

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020