Hamidreza Kamkari

According to our database, Hamidreza Kamkari authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Orthonormal Bases for Function Spaces.

Hamidreza Kamkari, Mohammad Sina Nabizadeh, Justin Solomon

CoRR, May, 2026

IV-ICL: Bounding Causal Effects with Instrumental Variables via In-Context Learning.

Vahid Balazadeh Meresht, Hamidreza Kamkari, Medha Barath, Ricardo Silva, Rahul G. Krishnan

CoRR, May, 2026

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, June, 2025

CausalPFN: Amortized Causal Effect Estimation via In-Context Learning.

Vahid Balazadeh Meresht, Hamidreza Kamkari, Valentin Thomas, Junwei Ma, Bingru Li, Jesse C. Cresswell, Rahul G. Krishnan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

OCDaf: Ordered Causal Discovery with Autoregressive Flows.

Hamidreza Kamkari, Vahid Zehtab, Vahid Balazadeh Meresht, Rahul G. Krishnan

CoRR, 2023

2021

Physarum Inspired Dynamics to Solve Semi-Definite Programs.

Hamidreza Kamkari, Andreas Karrenbauer, Mohammadamin Sharifi

CoRR, 2021