World's Best Scientists 2026 revealed!
Michael Carbin

Michael Carbin

D-Index & Metrics

Computer Science

D-Index
33
Citations
7832
World Ranking
12418
National Ranking
5034

Best Publications

  • The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

    Jonathan Frankle;Michael Carbin

  • The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

    Jonathan Frankle;Michael Carbin

  • Automatically patching errors in deployed software

    Jeff H. Perkins;Sunghun Kim;Sam Larsen;Saman Amarasinghe

  • Dynamic knobs for responsive power-aware computing

    Henry Hoffmann;Stelios Sidiroglou;Michael Carbin;Sasa Misailovic

  • Verifying quantitative reliability for programs that execute on unreliable hardware

    Michael Carbin;Sasa Misailovic;Martin C. Rinard

  • Verifying quantitative reliability for programs that execute on unreliable hardware

    Michael Carbin;Sasa Misailovic;Martin C. Rinard

  • Using datalog with binary decision diagrams for program analysis

    John Whaley;Dzintars Avots;Michael Carbin;Monica S. Lam

  • Context-sensitive program analysis as database queries

    Monica S. Lam;John Whaley;V. Benjamin Livshits;Michael C. Martin

  • Chisel: reliability- and accuracy-aware optimization of approximate computational kernels

    Sasa Misailovic;Michael Carbin;Sara Achour;Zichao Qi

  • Comparing Rewinding and Fine-tuning in Neural Network Pruning.

    Alex Renda;Jonathan Frankle;Michael Carbin

  • Stabilizing the Lottery Ticket Hypothesis

    Jonathan Frankle;Gintare Karolina Dziugaite;Daniel M. Roy;Michael Carbin

  • The Lottery Ticket Hypothesis: Training Pruned Neural Networks.

    Jonathan Frankle;Michael Carbin

  • Proving acceptability properties of relaxed nondeterministic approximate programs

    Michael Carbin;Deokhwan Kim;Sasa Misailovic;Martin C. Rinard

  • Detecting and escaping infinite loops with jolt

    Michael Carbin;Sasa Misailovic;Michael Kling;Martin C. Rinard

  • The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models

    Tianlong Chen;Jonathan Frankle;Shiyu Chang;Sijia Liu

  • Linear Mode Connectivity and the Lottery Ticket Hypothesis

    Jonathan Frankle;Gintare Karolina Dziugaite;Daniel M. Roy;Michael Carbin

  • The Lottery Ticket Hypothesis at Scale

    Jonathan Frankle;Gintare Karolina Dziugaite;Daniel M. Roy;Michael Carbin

  • Automatically identifying critical input regions and code in applications

    Michael Carbin;Martin C. Rinard

  • Automatic input rectification

    Fan Long;Vijay Ganesh;Michael Carbin;Stelios Sidiroglou

  • Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks

    Charith Mendis;Alex Renda;Dr.Saman Amarasinghe;Michael Carbin

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