Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. - Xiaoxue Zang; Ashwini Pokle; Marynel Vázquez; Kevin Chen 001; Juan Carlos Niebles; Alvaro Soto; Silvio Savarese (EMNLP, 2018)

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 (ICRA, 2019)

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 (CoRL, 2021)

Contrasting the landscape of contrastive and non-contrastive learning. - Ashwini Pokle; Jinjin Tian; Yuchen Li 007; Andrej Risteski (AISTATS, 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 (NeurIPS, 2022)

Deep Equilibrium Approaches to Diffusion Models. - Ashwini Pokle; Zhengyang Geng; J. Zico Kolter (NeurIPS, 2022)

One-Step Diffusion Distillation via Deep Equilibrium Models. - Zhengyang Geng; Ashwini Pokle; J. Zico Kolter (NeurIPS, 2023)

Deep Equilibrium Based Neural Operators for Steady-State PDEs. - Tanya Marwah; Ashwini Pokle; J. Zico Kolter; Zachary C. Lipton; Jianfeng Lu 001; Andrej Risteski (NeurIPS, 2023)

Training-free Linear Image Inversion via Flows. - Ashwini Pokle; Matthew J. Muckley; Ricky T. Q. Chen; Brian Karrer (CoRR, 2023)

Consistency Models Made Easy. - Zhengyang Geng; Ashwini Pokle; William Luo; Justin Lin; J. Zico Kolter (CoRR, 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; Weijian Luo; Justin Lin; J. Zico Kolter (ICLR, 2025)