Robots that anticipate pain: Anticipating physical perturbations from visual cues through deep predictive models. - Indranil Sur; Heni Ben Amor (IROS, 2017)

"Should Robots Feel Pain?" - Towards a Computational Theory of Pain in Autonomous Systems. - Trevor Richardson; Indranil Sur; Heni Ben Amor (ISRR, 2017)

Data-Efficient Mutual Information Neural Estimator. - Xiao Lin; Indranil Sur; Samuel A. Nastase; Ajay Divakaran; Uri Hasson; Mohamed R. Amer (CoRR, 2019)

Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks. - Karan Sikka; Andrew Silberfarb; John Byrnes; Indranil Sur; Edmond Chow; Ajay Divakaran; Richard Rohwer (CoRR, 2020)

Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. - Aswin Raghavan; Jesse Hostetler; Indranil Sur; Abrar Rahman; Ajay Divakaran (CoRR, 2020)

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. - Indranil Sur; Zachary Daniels; Abrar Rahman; Kamil Faber; Gianmarco J. Gallardo; Tyler L. Hayes; Cameron E. Taylor; Mustafa Burak Gurbuz; James Seale Smith; Sahana Pramod Joshi; Nathalie Japkowicz; Michael Baron; et al. (AIMLSystems, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Alan Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran; Roberto Corizzo; Kamil Faber; Nathalie Japkowicz; Michael Baron; James Seale Smith; et al. (CoLLAs, 2022)

Dual-Key Multimodal Backdoors for Visual Question Answering. - Matthew Walmer; Karan Sikka; Indranil Sur; Abhinav Shrivastava; Susmit Jha (CVPR, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran (CoRR, 2022)

Detecting Trojaned DNNs Using Counterfactual Attributions. - Karan Sikka; Indranil Sur; Anirban Roy; Ajay Divakaran; Susmit Jha (ICAA, 2023)

Human Body Model based ID using Shape and Pose Parameters. - Aravind Sundaresan; J. Brian Burns; Indranil Sur; Yi Yao; Xiao Lin; Sujeong Kim (IJCB, 2023)

TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. - Indranil Sur; Karan Sikka; Matthew Walmer; Kaushik Koneripalli; Anirban Roy; Xiao Lin; Ajay Divakaran; Susmit Jha (ICCV, 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning. - Indranil Sur; Aswin Raghavan; Abrar Rahman; James Zachary Hare; Daniel N. Cassenti; Carl E. Busart (CoRR, 2024)