Talks and Presentations
Talks and Presentations
Are Spurious Correlations Benchmarks with Accuracy on the Line Misspecified?
Sanjoy K. Mitter Laboratory for Information Decision Systems Student Conference, MIT, 2025.
Laboratory for Information Decision Systems Autonomy Tea Talk, MIT, 2025.
Hitting the Right Target: From AI in the Lab to AI in the Real World
Computer Science and Engineering Seminar, Georgia Institute of Technology, 2025. (invited).
Tandon College of Engineering Faculty First Look Program, New York University, 2025. (invited).
On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning
Workshop on Causal Representation Learning (CRL) @ Conference on Neural Information Pro-
cessing Systems (NeurIPS), 2024 — Oral Presentation, 2024.
Clued-in to Clueless: Navigating Distribution Shifts with Varying Levels of Target Distribution Information
Computer Science Seminar, Texas State University, 2024.
Institute for Foundations of Machine Learning (IFML), UT Austin, 2024.
Towards Externally Valid Evaluation of AI Systems
MobiliT.AI forum, 2024.
Machine Learning Seminar, University of Illinois at Urbana-Champaign, 2024.
Shah Lab, Stanford University, 2024.
Learning Domain General Predictors
Simons Institute – Information-Theoretic Methods for Trustworthy Machine Learning, 2023.
Separating Neural Encoding and Decoding Pathways in fMRI by Disentangling Causal and Anticausal Mechanisms
University of Illinois at Urbana-Champaign Miniature Brain Machinery Retreat, 2022.
PGM-augmented-ICA-AROMA: Denoising via probabilistic graphical model augmentation of ICA-AROMA
Beckman Institute Graduate Student Seminar, 2021.
University of Illinois at Urbana-Champaign Miniature Brain Machinery Retreat, 2021.
Automated Incorporation of Machine Learning (AIM)
Sandia National Laboratories MARTIANS End of Summer Symposia, 2020.
Interpretable Recurrent Convolutional Neural Networks for Cyber Alert Triaging
Sandia National Laboratories MARTIANS End of Summer Symposia, 2019.