Physarum Inspired Dynamics to Solve Semi-Definite Programs. - Hamidreza Kamkari; Andreas Karrenbauer; Mohammadamin Sharifi (CoRR, 2021)

OCDaf: Ordered Causal Discovery with Autoregressive Flows. - Hamidreza Kamkari; Vahid Zehtab; Vahid Balazadeh Meresht; Rahul G. Krishnan (CoRR, 2023)

A Geometric Explanation of the Likelihood OOD Detection Paradox. - Hamidreza Kamkari; Brendan Leigh Ross; Jesse C. Cresswell; Anthony L. Caterini; Rahul G. Krishnan; Gabriel Loaiza-Ganem (ICML, 2024)

A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models. - Hamidreza Kamkari; Brendan Leigh Ross; Rasa Hosseinzadeh; Jesse C. Cresswell; Gabriel Loaiza-Ganem (NeurIPS, 2024)

TabDPT: Scaling Tabular Foundation Models. - Junwei Ma; Valentin Thomas; Rasa Hosseinzadeh; Hamidreza Kamkari; Alex Labach; Jesse C. Cresswell; Keyvan Golestan; Guangwei Yu; Maksims Volkovs; Anthony L. Caterini (CoRR, 2024)

A Geometric Framework for Understanding Memorization in Generative Models. - Brendan Leigh Ross; Hamidreza Kamkari; Tongzi Wu; Rasa Hosseinzadeh; Zhaoyan Liu; George Stein; Jesse C. Cresswell; Gabriel Loaiza-Ganem (ICLR, 2025)

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning. - Vahid Balazadeh Meresht; Hamidreza Kamkari; Valentin Thomas; Benson Li; Junwei Ma; Jesse C. Cresswell; Rahul G. Krishnan (CoRR, 2025)