Matin Ghavamizadeh

According to our database, Matin Ghavamizadeh authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

GenSQL: A Probabilistic Programming System for Querying Generative Models of Database Tables.

Mathieu Huot, Matin Ghavami, Alexander K. Lew, Ulrich Schaechtle, Cameron E. Freer, Zane Shelby, Martin C. Rinard, Feras A. Saad, Vikash K. Mansinghka

Proc. ACM Program. Lang., 2024

Probabilistic Programming with Programmable Variational Inference.

McCoy R. Becker, Alexander K. Lew, Xiaoyan Wang, Matin Ghavami, Mathieu Huot, Martin C. Rinard, Vikash K. Mansinghka

Proc. ACM Program. Lang., 2024

2023

Probabilistic Programming with Stochastic Probabilities.

Alexander K. Lew, Matin Ghavamizadeh, Martin C. Rinard, Vikash K. Mansinghka

Proc. ACM Program. Lang., 2023

Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes.

Nishad Gothoskar, Matin Ghavami, Eric Li, Aidan Curtis, Michael Noseworthy, Karen Chung, Brian Patton, William T. Freeman, Joshua B. Tenenbaum, Mirko Klukas, Vikash K. Mansinghka

CoRR, 2023

SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals.

Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

3DP3: 3D Scene Perception via Probabilistic Programming.

Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021