Marco Cusumano-Towner | DeepAI

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Featured Co-authors

Joshua B. Tenenbaum
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Vikash K. Mansinghka
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Dan Gutfreund
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Alexander K. Lew
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Feras A. Saad
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Nishad Gothoskar
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Falk Pollok
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Ben Zinberg
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Matin Ghavamizadeh
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Austin Garrett
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research

∙ 03/05/2022

Recursive Monte Carlo and Variational Inference with Auxiliary Variables

A key challenge in applying Monte Carlo and variational inference (VI) i...

0 Alexander K. Lew, et al. ∙

research

∙ 02/24/2022

Estimators of Entropy and Information via Inference in Probabilistic Models

Estimating information-theoretic quantities such as entropy and mutual i...

0 Feras A. Saad, et al. ∙

research

∙ 10/30/2021

3DP3: 3D Scene Perception via Probabilistic Programming

We present 3DP3, a framework for inverse graphics that uses inference in...

7 Nishad Gothoskar, et al. ∙

research

∙ 07/20/2020

Automating Involutive MCMC using Probabilistic and Differentiable Programming

Involutive MCMC is a unifying mathematical construction for MCMC kernels...

0 Marco Cusumano-Towner, et al. ∙