Vidal Lab Group Photo

Vidal Lab

Vision, Dynamics & Learning Lab

University of Pennsylvania · Department of Electrical and Systems Engineering

About Us

The Vidal Lab develops mathematical foundations for machine learning, computer vision, and dynamical systems. Our research spans deep learning theory, trustworthy and parsimonious representation learning, optimization, and continual learning. In computer vision, we work on 3D vision, video and image understanding, and vision-language models. We also apply these methods to biomedical data science, including medical image analysis and computer vision for health. Additionally, we study the theory of dynamical systems, including hybrid, multi-agent, and linear systems.

Recent News

Project Highlights

ICML 2025

Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs

Hancheng Min, René Vidal

Paper
CVPR 2025

Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality

Meghna Ramchandran, Ambar Pal, Jeremias Sulam, René Vidal

Paper
MICCAI 2025

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

Yuyan Ge, Ryan Chan, Pablo Messina, René Vidal

Paper
Preprint 2025

Conformal Information Pursuit for Interactively Guiding Large Language Models

Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, René Vidal

Project Paper
Preprint 2025

SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations

Buyun Liang, Liangzu Peng, Jinqi Luo, Darshan Thaker, Ryan Chan, René Vidal

Paper
Preprint 2025

Voyaging into Unbounded Dynamic Scenes from a Single View

Fengrui Tian, Tianjiao Ding, Jinqi Luo, Hancheng Min, René Vidal

Paper
Preprint 2026

Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification

Nghia Nguyen, Tianjiao Ding, René Vidal

Paper
IEEE TBE 2025

CAMI-2DNet: Computerized Assessment of Motor Imitation for Distinguishing Autism in Video

Kaleab Kinfu, Carolina Pacheco, et al., René Vidal

Paper
Cambridge University Press 2022

Optimization Landscape of Neural Networks

René Vidal, Zhihui Zhu, Benjamin D. Haeffele

Book