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Found 7 papers, 3 papers with code
Decomposing reverse-mode automatic differentiation
We decompose reverse-mode automatic differentiation into (forward-mode) linearization followed by transposition.
Automatically Batching Control-Intensive Programs for Modern Accelerators
We present a general approach to batching arbitrary computations for accelerators such as GPUs.
Simple, Distributed, and Accelerated Probabilistic Programming
For both a state-of-the-art VAE on 64x64 ImageNet and Image Transformer on 256x256 CelebA-HQ, our approach achieves an optimal linear speedup from 1 to 256 TPUv2 chips.
Probabilistic programs for inferring the goals of autonomous agents
Intelligent systems sometimes need to infer the probable goals of people, cars, and robots, based on partial observations of their motion.
Time Series Structure Discovery via Probabilistic Program Synthesis
There is a widespread need for techniques that can discover structure from time series data.
Probabilistic Programming with Gaussian Process Memoization
Gaussian Processes (GPs) are widely used tools in statistics, machine learning, robotics, computer vision, and scientific computation.
Jewish Problems
This is a special collection of problems that were given to select applicants during oral entrance exams to the math department of Moscow State University.
History and Overview
