Ashwini Pokle

According to our database, Ashwini Pokle authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Training-free linear image inverses via flows.

Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer

Trans. Mach. Learn. Res., 2024

Consistency Models Made Easy.

Zhengyang Geng, Ashwini Pokle, William Luo, Justin Lin, J. Zico Kolter

CoRR, 2024

2023

Training-free Linear Image Inversion via Flows.

Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer

CoRR, 2023

Deep Equilibrium Based Neural Operators for Steady-State PDEs.

Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski

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

One-Step Diffusion Distillation via Deep Equilibrium Models.

Zhengyang Geng, Ashwini Pokle, J. Zico Kolter

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

2022

Deep Equilibrium Approaches to Diffusion Models.

Ashwini Pokle, Zhengyang Geng, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Path Independent Equilibrium Models Can Better Exploit Test-Time Computation.

Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrasting the landscape of contrastive and non-contrastive learning.

Ashwini Pokle, Jinjin Tian, Yuchen Li, Andrej Risteski

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views.

Jingyun Yang, Hsiao-Yu Tung, Yunchu Zhang, Gaurav Pathak, Ashwini Pokle, Christopher G. Atkeson, Katerina Fragkiadaki

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Deep Local Trajectory Replanning and Control for Robot Navigation.

Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vázquez

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation.

Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018