Local Deep Kernel Learning for Efficient Non-linear SVM Prediction. - Cijo Jose; Prasoon Goyal; Parv Aggrwal; Manik Varma (ICML (3), 2013)

New Rules for Domain Independent Lifted MAP Inference. - Happy Mittal; Prasoon Goyal; Vibhav Gogate; Parag Singla (NIPS, 2014)

Kernel Extraction via Voted Risk Minimization. - Corinna Cortes; Prasoon Goyal; Vitaly Kuznetsov; Mehryar Mohri (FE@NIPS, 2015)

Voted Kernel Regularization. - Corinna Cortes; Prasoon Goyal; Vitaly Kuznetsov; Mehryar Mohri (CoRR, 2015)

End to End Learning for Self-Driving Cars. - Mariusz Bojarski; Davide Del Testa; Daniel Dworakowski; Bernhard Firner; Beat Flepp; Prasoon Goyal; Lawrence D. Jackel; Mathew Monfort; Urs Muller; Jiakai Zhang; Xin Zhang; Jake Zhao; et al. (CoRR, 2016)

Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers. - Lars Hellsten; Brian Roark; Prasoon Goyal; Cyril Allauzen; Françoise Beaufays; Tom Ouyang; Michael Riley 001; David Rybach (FSMNLP, 2017)

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning. - Prasoon Goyal; Zhiting Hu; Xiaodan Liang; Chenyu Wang; Eric P. Xing; Carnegie Mellon (ICCV, 2017)

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning. - Prasoon Goyal; Zhiting Hu; Xiaodan Liang; Chenyu Wang; Eric P. Xing (CoRR, 2017)

Using Natural Language for Reward Shaping in Reinforcement Learning. - Prasoon Goyal; Scott Niekum; Raymond J. Mooney (IJCAI, 2019)

PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. - Prasoon Goyal; Scott Niekum; Raymond J. Mooney (CoRL, 2020)

Zero-shot Task Adaptation using Natural Language. - Prasoon Goyal; Raymond J. Mooney; Scott Niekum (CoRR, 2021)

CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. - Vasu Sharma; Prasoon Goyal; Kaixiang Lin; Govind Thattai; Qiaozi Gao; Gaurav S. Sukhatme (CoRR, 2022)

Language-guided Task Adaptation for Imitation Learning. - Prasoon Goyal; Raymond J. Mooney; Scott Niekum (CoRR, 2023)

Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI. - Hangjie Shi; Leslie Ball; Govind Thattai; Desheng Zhang; Lucy Hu; Qiaozi Gao; Suhaila Shakiah; Xiaofeng Gao 002; Aishwarya Padmakumar; Bofei Yang; Cadence Chung; Dinakar Guthy; et al. (CoRR, 2023)

MICo: Preventative Detoxification of Large Language Models through Inhibition Control. - Roy Siegelmann; Ninareh Mehrabi; Palash Goyal; Prasoon Goyal; Lisa Bauer; Jwala Dhamala; Aram Galstyan; Rahul Gupta 001; Reza Ghanadan (NAACL-HLT (Findings), 2024)

S-EQA: Tackling Situational Queries in Embodied Question Answering. - Vishnu Sashank Dorbala; Prasoon Goyal; Robinson Piramuthu; Michael Johnston; Dinesh Manocha; Reza Ghanadan (CoRR, 2024)

"Don't Forget to Put the Milk Back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations. - James F. Mullen Jr.; Prasoon Goyal; Robinson Piramuthu; Michael Johnston; Dinesh Manocha; Reza Ghanadan (IEEE Robotics Autom. Lett., 2024)

Amazon Nova AI Challenge - Trusted AI: Advancing secure, AI-assisted software development. - Sattvik Sahai; Prasoon Goyal; Michael Johnston; Anna Gottardi; Yao Lu; Lucy Hu; Luke Dai; Shaohua Liu; Samyuth Sagi; Hangjie Shi; Desheng Zhang; Lavina Vaz; et al. (CoRR, 2025)