A Closer Look at Disentangling in β-VAE. - Harshvardhan Sikka; Weishun Zhong; Jun Yin 002; Cengiz Pehlevan (ACSSC, 2019)

A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition. - Harshvardhan Sikka (CoRR, 2020)

Benchmarking Differentially Private Residual Networks for Medical Imagery. - Sahib Singh; Harshvardhan Sikka (CoRR, 2020)

Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems. - Sridhar Venkatesan; Harshvardhan Sikka; Rauf Izmailov; Ritu Chadha; Alina Oprea; Michael J. De Lucia (MILCOM, 2021)

Investigating Learning in Deep Neural Networks Using Layer-Wise Weight Change. - Ayush Manish Agrawal; Atharva Tendle; Harshvardhan Sikka; Sahib Singh; Amr Kayid (SAI (2), 2021)

A Genetic Algorithm Based Approach for Satellite Autonomy. - Sidhdharth Sikka; Harshvardhan Sikka (SAI (2), 2021)

WeightScale: Interpreting Weight Change in Neural Networks. - Ayush Manish Agrawal; Atharva Tendle; Harshvardhan Sikka; Sahib Singh (CoRR, 2021)

Agent Smith: Teaching Question Answering to Jill Watson. - Ashok K. Goel 001; Harshvardhan Sikka; Eric Gregori (CoRR, 2021)

Agent Smith: Machine Teaching for Building Question Answering Agents. - Ashok K. Goel 001; Harshvardhan Sikka; Eric Gregori (AAAI Spring Symposium: MAKE, 2022)

A Framework for Interactive Knowledge-Aided Machine Teaching. - Karan Taneja; Harshvardhan Sikka; Ashok K. Goel 001 (CoRR, 2022)

ReFace: Real-time Adversarial Attacks on Face Recognition Systems. - Shehzeen Hussain; Todd Huster; Chris Mesterharm; Paarth Neekhara; Kevin An; Malhar Jere; Harshvardhan Sikka; Farinaz Koushanfar (CoRR, 2022)

Explanation as Question Answering based on a Task Model of the Agent's Design. - Ashok K. Goel 001; Harshvardhan Sikka; Vrinda Nandan; Jeonghyun Lee; Matt Lisle; Spencer Rugaber (CoRR, 2022)

Human-AI Interaction Design in Machine Teaching. - Karan Taneja; Harshvardhan Sikka; Ashok K. Goel 001 (CoRR, 2022)

Deidentifying Student Writing with Rules and Transformers. - Langdon Holmes; Scott A. Crossley; Wesley Morris; Harshvardhan Sikka; Anne Trumbore (AIED (Posters/Late Breaking Results/...), 2023)

Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent. - Jeonghyun Lee; Vrinda Nandan; Harshvardhan Sikka; Spencer Rugaber; Ashok Goal (CoRR, 2023)

Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks. - Pranav Guruprasad; Harshvardhan Sikka; Jaewoo Song; Yangyue Wang; Paul Pu Liang (CoRR, 2024)

Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended Action Environments. - Pranav Guruprasad; Yangyue Wang; Sudipta Chowdhury; Harshvardhan Sikka (CoRR, 2025)

A4L: An Architecture for AI-Augmented Learning. - Ashok K. Goel 001; Ploy Thajchayapong; Vrinda Nandan; Harshvardhan Sikka; Spencer Rugaber (CoRR, 2025)

An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models. - Pranav Guruprasad; Yangyue Wang; Sudipta Chowdhury; Jaewoo Song; Harshvardhan Sikka (CoRR, 2025)