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Benjamin Sherman
Benjamin Sherman
MIT CSAIL
E-mail confirmado em csail.mit.edu
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Kami: a platform for high-level parametric hardware specification and its modular verification
J Choi, M Vijayaraghavan, B Sherman, A Chlipala, Arvind
Proceedings of the ACM on Programming Languages 1 (ICFP), 24, 2017
1332017
Trace Types and Denotational Semantics for Sound Programmable Inference in Probabilistic Languages
AK Lew, MF Cusumano-Towner, B Sherman, M Carbin, VK Mansinghka
Principles of Programming Languages (POPL), 2020
392020
Reactive probabilistic programming
G Baudart, L Mandel, E Atkinson, B Sherman, M Pouzet, M Carbin
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020
312020
𝜆ₛ: computable semantics for differentiable programming with higher-order functions and datatypes
B Sherman, J Michel, M Carbin
Proceedings of the ACM on Programming Languages 5 (POPL), 1-31, 2021
212021
Sound and robust solid modeling via exact real arithmetic and continuity
B Sherman, J Michel, M Carbin
Proceedings of the ACM on Programming Languages 3 (ICFP), 29, 2019
102019
Computable decision making on the reals and other spaces: via partiality and nondeterminism
B Sherman, L Sciarappa, A Chlipala, M Carbin
Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer …, 2018
7*2018
Programmation d'Applications Réactives Probabilistes
G Baudart, L Mandel, M Pouzet, E Atkinson, B Sherman, M Carbin
JFLA 2020-Journées Francophones des Langages Applicatifs, 2020
22020
Programming languages for sound computation with continuous values
BM Sherman
Massachusetts Institute of Technology, 2020
12020
Constructive probabilistic semantics with non-spatial locales
B Sherman, J Tramontano, M Carbin
Probabilistic Programming Languages, Semantics, and Systems (PPS 2018), 2018
12018
: Computable semantics for differentiable programming with higher-order functions and datatypes
B Sherman, J Michel, M Carbin
arXiv preprint arXiv:2007.08017, 2020
2020
Programming Reactive Probabilistic Applications
G Baudart, L Mandel, M Pouzet, E Atkinson, B Sherman, M Carbin
PROBPROG, 2020
2020
NAP: Noise-Based Sensitivity Analysis for Programs
J Michel, S Verma, B Sherman, M Carbin
Workshop on Approximate Computing, 2019
2019
Making discrete decisions based on continuous values
BM Sherman
Massachusetts Institute of Technology, 2017
2017
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