Research

Publications

reverse chronological · google scholar

2026

In-Review

Hiding in Plain Sight: Detectability-Aware Antidistillation of Reasoning Models

Max Hartman, Vidhata Jayaraman, Moulik Choraria, Yash Savani, Lav R. Varshney

ICML WS

Protecting the Trace: A Principled Black-Box Approach Against Distillation Attacks

Max Hartman, Vidhata Jayaraman, Moulik Choraria, Lav R. Varshney — ICML (Second) Workshop on Technical AI Governance Research

ICML

Skip-It? Theoretical Conditions for Layer Skipping in Vision–Language Models

Max Hartman, Vidhata Jayaraman, Moulik Choraria, Akhil Bhimaraju, Lav R. Varshney — Forty-Third International Conference on Machine Learning

ACC

Federated Nonlinear System Identification

Omkar Tupe, Max Hartman, Lav R. Varshney, Saurav Prakash — The 2026 American Control Conference

JSTSP

Continual Instruction Tuning via Increasing Experts

Xinbo Wu, Max Hartman, Vidhata Arjun Jayaraman, Lav R. Varshney — IEEE Journal of Selected Topics in Signal Processing

2025

ICCV WS

Unmasking the Functionality of Early Layers in VLMs

Max Hartman, Vidhata Jayaraman, Moulik Choraria, Akhil Bhimaraju, Lav R. Varshney — ICCV 2025 Workshop on Explainable Computer Vision: Quo Vadis?

JSAIT

Energy-Aware Routing to Large Reasoning Models

Austin R. Ellis-Mohr, Max Hartman, Lav R. Varshney — IEEE Journal of Selected Areas in Information Theory

arXiv

SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures - Undergraduate Thesis

Max Hartman, Lav Varshney