Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
Sheer Karny*, Anthony Baez*, and Pat Pataranutaporn
*Equal Contribution
ACM Conference on Intelligent User Interfaces 2026
Code

Guaranteeing Conservation of Integrals in Physics-Informed Neural Networks
Anthony Baez, Wang Zhang, Ziwen Ma, Subhro Das, Lam M Nguyen, and Luca Daniel
Arxiv Preprint
Code

Guaranteeing Conservation Laws in Physics-Informed Neural Networks
Anthony Baez, Wang Zhang, Ziwen Ma, Subhro Das, Lam M Nguyen, and Luca Daniel
Data-driven and Differentiable Simulations, Surrogates, and Solvers Workshop @ NeurIPS 2024
Code

LSLlama: Fine-tuned LLaMA for Lexical Simplification
Anthony Baez, and Horacio Saggion
Second Workshop on Text Simplification, Accessibility and Readability @ EMNLP 2023
Code