Jean-Baptiste Tristan (original) (raw)

Jean-Baptiste Tristan

Principal Applied Scientist

Automated Reasoning Group
Amazon Web Services

jean.baptiste.tristan@gmail.com

CV

LinkedIn

dblp

Scholar

ACM

I am interested in program verification (especially in Lean), randomized/probabilistic algorithms, reinforcement learning, and compilers.

I am the co-recipient of the 2022 Programming Languages Software Award and the 2021 ACM Software System Award .

* PDLI'23 Verified Density Compilation for a Probabilistic Programming Language Joseph Tassarotti, Jean-Baptiste Tristan

* JCTC Dual-Level Training of Gaussian Processes with Physically Inspired Priors for Geometry Optimizations Chong Teng, Yang Wang, Daniel Huang, Katherine Martin, Jean-Baptiste Tristan, Lucas Bao

* NARE Dry Reforming of Methane on Doped Ni Nanoparticle: Feature-Assisted Optimizations and Ranking of Doping Metals for Direct Activations of CH4 and CO2 Shiru Lin, Yang Wang, Jean-Baptiste Tristan, Lucas Bao

* LICS'22 Computable PAC Learning of Continuous Features Nathanael Ackerman, Julian Asilis, Jieqi Di, Cameron Freer and Jean-Baptiste Tristan

* JCP Geometry Meta-Optimization (Link) Daniel Huang, Lucas Bao, Jean-Baptiste Tristan

* JOMC mad-GP:Automatic Differentiation of Gaussian Processes for Molecules and Materials Link Daniel Huang, Chong Teng, Lucas Bao, Jean-Baptiste Tristan

* ICML'21 Conjugate Energy-Based Models (PDF) Hao Wu, Babak Esmaeili, Michael Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent

* AISTATS'21 Rate-Regularization and Generalization in Variational Autoencoders (PDF) Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana H. Brooks, Jennifer G. Dy, Jan-Willem van de Meent

* CPP'21 A Formal Proof of PAC Learnability for Decision Stumps (PDF) Joseph Tassarotti, Koundinya Vajjha, Anindya Banerjee, Jean-Baptiste Tristan

* WSDM'21 Online Post-Processing In Rankings For Fair Utility Maximization (PDF) Justin Payan, Eric Johnson, Ananya Gupta, Aditya Roy, Ari Kobren, Michael L. Wick, Swetasudha Panda, Jean-Baptiste Tristan

* NeurIPS'19 Unlocking Fairness: a Trade-off Revisited (PDF) Michael L. Wick, Swetasudha Panda, Jean-Baptiste Tristan

* TOPC'19 Using Butterfly-Patterned Partial Sums to Draw from Discrete Distributions (PDF) Guy L. Steele Jr., Jean-Baptiste Tristan

* AKBC'19 Scaling Hierarchical Coreference with Homomorphic Compression (PDF) Michael L. Wick, Swetasudha Panda, Joseph Tassarotti, Jean-Baptiste Tristan

* AAAI'19 Gradient-based Inference for Networks with Output Constraints (PDF) Jay-Yoon Lee, Sanket Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime Carbonell

* AISTATS'19 Sketching for Latent Dirichlet-Categorical Models (PDF) Joseph Tassarotti, Jean-Baptiste Tristan, Michael L. Wick

* PLDI'17 Flexible Compilation for Probabilistic Programs (PDF) Daniel Huang, Jean-Baptiste Tristan, Greg Morrisett

* TOPC'17 Adding Approximate Counters (PDF) Guy L. Steele Jr., Jean-Baptiste Tristan

* AISTSATS'16 Exponential stochastic cellular automata for massively parallel inference (PDF) Manzil Zaheer, Michael L. Wick, Jean-Baptiste Tristan, Alex Smola, Guy L. Steele Jr.

* ICML'15 Efficient training of LDA on a GPU by mean-for-mode estimation (PDF) Jean-Baptiste Tristan, Joseph Tassarotti, Guy L. Steele Jr.

* NIPS'14 Augur: data-parallel probabilistic modeling (PDF) Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Pocock, Stephen J. Green, Guy L. Steele Jr.

* PLDI'12 Rocksalt: better, faster, stronger SFI for the x86 (PDF) Greg Morrisett, Gang Tan, Joseph Tassarotti, Jean-Baptiste Tristan, Edward Gan

* PLDI'11 Evaluating value-graph translation validation for LLVM (PDF) Jean-Baptiste Tristan, Paul Govereau, Greg Morrisett

* POPL'10 A simple, verified validator for software pipelining (PDF) Jean-Baptiste Tristan, Xavier Leroy

* PLDI'09 Verified validation of lazy code motion (PDF) Jean-Baptiste Tristan, Xavier Leroy

* POPL'08 Formal verification of translation validators (PDF) Jean-Baptiste Tristan, Xavier Leroy