Publications

Soheun Yi, Yizhou Lu, Chandler Squires, Pradeep Ravikumar (2026). Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation. NeurIPS 2026 (accepted).
PDF Cite
Chandler Squires, Michael Truell, Jan-Christian Hütter, Piotr Zwiernik, Caroline Uhler (2026). Maximum Likelihood Estimation for Brownian Motion Tree Models Based on One Sample. Bernoulli 2026.
PDF Cite DOI
Yuan Guan, Chandler Squires, Timothy Hu, Pradeep Ravikumar (2026). Context-Informed Ship Trajectory Prediction via Conditional Attention. IEEE FUSION 2026.
PDF Cite
Duncan Soiffer, Chandler Squires, Yuan Guan, Jason Hartford, Pradeep Ravikumar (2026). Catastrophic Compositional Generation: Why Vanilla Diffusion Models Fail to Extrapolate. Preprint, 2026.
PDF Cite
Chandler Squires, Pradeep Ravikumar (2026). A Unifying Framework for Unsupervised Concept Extraction. AISTATS 2026.
PDF Cite
Burak Varıcı, Chandler Squires, Pradeep Ravikumar (2026). Causal Representation Learning. Neurosymbolic AI, 2026.
Cite
Juyong Kim, Chandler Squires, Pradeep Ravikumar (2025). Knowledge-Enriched Machine Learning for Tabular Data. NeuS 2025.
PDF Cite Code
Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar (2025). The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CLeaR 2025.
PDF Cite
Chandler Squires, Davin Choo, Arnab Bhattacharyya, David Sontag (2025). Probably Approximately Correct High-dimensional Causal Effect Estimation Given a Valid Adjustment Set. CLeaR 2025.
PDF Cite
Bijan Mazaheri, Chandler Squires, Caroline Uhler (2025). Synthetic Potential Outcomes and Causal Mixture Identifiability. AISTATS 2025.
PDF Cite