Automating Stroke Rehabilitation for Home-Based Therapy. - Akanksha Saran; Kris M. Kitani; Thanassis Rikakis (AAAI Fall Symposia, 2014)

Hand parsing for fine-grained recognition of human grasps in monocular images. - Akanksha Saran; Damien Teney; Kris M. Kitani (IROS, 2015)

Viewpoint selection for visual failure detection. - Akanksha Saran; Branka Lakic; Srinjoy Majumdar; Jürgen Hess 003; Scott Niekum (IROS, 2017)

Human Gaze Following for Human-Robot Interaction. - Akanksha Saran; Srinjoy Majumdar; Elaine Schaertl Short; Andrea Thomaz; Scott Niekum (IROS, 2018)

Understanding Teacher Gaze Patterns for Robot Learning. - Akanksha Saran; Elaine Schaertl Short; Andrea Thomaz; Scott Niekum (CoRL, 2019)

Enhancing Robot Learning with Human Social Cues. - Akanksha Saran; Elaine Schaertl Short; Andrea Thomaz; Scott Niekum (HRI, 2019)

Human Gaze Assisted Artificial Intelligence: A Review. - Ruohan Zhang; Akanksha Saran; Bo Liu 042; Yifeng Zhu; Sihang Guo; Scott Niekum; Dana H. Ballard; Mary M. Hayhoe (IJCAI, 2020)

Efficiently Guiding Imitation Learning Algorithms with Human Gaze. - Akanksha Saran; Ruohan Zhang; Elaine Schaertl Short; Scott Niekum (CoRR, 2020)

Efficiently Guiding Imitation Learning Agents with Human Gaze. - Akanksha Saran; Ruohan Zhang; Elaine Schaertl Short; Scott Niekum (AAMAS, 2021)

Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots. - Akanksha Saran; Kush Desai; Mai Lee Chang; Rudolf Lioutikov; Andrea Thomaz; Scott Niekum (IROS, 2022)

Interaction-Grounded Learning with Action-Inclusive Feedback. - Tengyang Xie; Akanksha Saran; Dylan J. Foster; Lekan P. Molu; Ida Momennejad; Nan Jiang 008; Paul Mineiro; John Langford 001 (NeurIPS, 2022)

Interaction-Grounded Learning for Recommender Systems. - Jessica Maghakian; Kishan Panaganti; Paul Mineiro; Akanksha Saran; Cheng Tan (ORSUM@RecSys, 2022)

Personalized Reward Learning with Interaction-Grounded Learning (IGL). - Jessica Maghakian; Paul Mineiro; Kishan Panaganti; Mark Rucker; Akanksha Saran; Cheng Tan (ICLR, 2023)

Streaming Active Learning with Deep Neural Networks. - Akanksha Saran; Safoora Yousefi; Akshay Krishnamurthy; John Langford 001; Jordan T. Ash (ICML, 2023)

Autocalibrating Gaze Tracking: A Demonstration through Gaze Typing. - Akanksha Saran; Jacob Alber; Danielle Bragg; Cyril Zhang; John Langford 001 (CoRR, 2023)

In-Context Learning in Large Language Models: A Neuroscience-inspired Analysis of Representations. - Safoora Yousefi; Leo Betthauser; Hosein Hasanbeig; Akanksha Saran; Raphaël Millière; Ida Momennejad (CoRR, 2023)

A Ranking Game for Imitation Learning. - Harshit Sikchi; Akanksha Saran; Wonjoon Goo; Scott Niekum (Trans. Mach. Learn. Res., 2023)

Towards Principled Representation Learning from Videos for Reinforcement Learning. - Dipendra Misra; Akanksha Saran; Tengyang Xie; Alex Lamb; John Langford 001 (ICLR, 2024)

Leveraging Prosody as an Informative Teaching Signal for Agent Learning: Exploratory Studies and Algorithmic Implications. - Matilda Knierim; Sahil Jain; Murat Han Aydogan; Kenneth Mitra; Kush Desai; Akanksha Saran; Kim Baraka (ICMI, 2024)

Prosody as a Teaching Signal for Agent Learning: Exploratory Studies and Algorithmic Implications. - Matilda Knierim; Sahil Jain; Murat Han Aydogan; Kenneth Mitra; Kush Desai; Akanksha Saran; Kim Baraka (CoRR, 2024)

EyeO: Autocalibrating Gaze Output with Gaze Input for Gaze Typing. - Akanksha Saran; Jacob Alber; Cyril Zhang; Ann Paradiso; Danielle Bragg; John Langford 001 (CHI Extended Abstracts, 2025)