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20182022
most citedComparing Rewinding and Fine-tuning in Neural Network Pruning

180 citations · 259 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.PL202230 cited

Twist: Sound Reasoning for Purity and Entanglement in Quantum Programs

Charles Yuan, Christopher McNally, Michael Carbin

Quantum programming languages enable developers to implement algorithms for quantum computers that promise computational breakthroughs in classically intractable tasks. Programming…

cs.PL2020

Simplifying Dependent Reductions in the Polyhedral Model

Cambridge Yang, Eric Atkinson, Michael Carbin

A Reduction -- an accumulation over a set of values, using an associative and commutative operator -- is a common computation in many numerical computations, including scientific c…

cs.PL2020

: Computable Semantics for Differentiable Programming with Higher-Order Functions and Datatypes

Benjamin Sherman, Jesse Michel, Michael Carbin

Deep learning is moving towards increasingly sophisticated optimization objectives that employ higher-order functions, such as integration, continuous optimization, and root-findin…

cs.PL2019

Reactive Probabilistic Programming

Guillaume Baudart, Louis Mandel, Eric Atkinson +3

Synchronous modeling is at the heart of programming languages like Lustre, Esterel, or Scade used routinely for implementing safety critical control software, e.g., fly-by-wire and…

cs.PL2018

Verifying Programs Under Custom Application-Specific Execution Models

Brett Boston, Zoe Gong, Michael Carbin

Researchers have recently designed a number of application-specific fault tolerance mechanisms that enable applications to either be naturally resilient to errors or include additi…

cs.PL2018

Verifying Handcoded Probabilistic Inference Procedures

Eric Atkinson, Cambridge Yang, Michael Carbin

Researchers have recently proposed several systems that ease the process of performing Bayesian probabilistic inference. These include systems for automatic inference algorithm syn…