A Greedy, Flexible Algorithm to Learn an Optimal Bayesian Network Structure. - Amir Arsalan Soltani (CoRR, 2014)

Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks. - Amir Arsalan Soltani; Haibin Huang; Jiajun Wu 001; Tejas D. Kulkarni; Joshua B. Tenenbaum (CVPR, 2017)

Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects. - Tomer D. Ullman; Eliza Kosoy; Ilker Yildirim; Amir Arsalan Soltani; Max H. Siegel; Josh Tenenbaum 001; Elizabeth S. Spelke (CogSci, 2019)

Inverse Rendering Best Explains Face Perception Under Extreme Illuminations. - Bernhard Egger 001; Max H. Siegel; Riya Arora; Amir Arsalan Soltani; Ilker Yildirim; Josh Tenenbaum 001 (CogSci, 2020)

Perception of Mooney Faces: Extreme Generalization through Inverse Rendering? - Shreya Kapoor; Maximilian Weiherer; Max H. Siegel; Amir Arsalan Soltani; Ilker Yildirim; Josh Tenenbaum 001; Bernhard Egger 001 (CogSci, 2023)

3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis. - Ilker Yildirim; Max H. Siegel; Amir Arsalan Soltani; Shraman Ray Chaudhari; Joshua B. Tenenbaum (CoRR, 2023)