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Author Information
Augustus Odena (Google Brain)
Charles Sutton (Google)
Roopsha Samanta (Purdue University)
Roopsha Samanta is an Assistant Professor the Department of Computer Science at Purdue University. She leads the Purdue Formal Methods (PurForM) group and is a member of the Purdue Programming Languages (PurPL) group. Before joining Purdue in 2016, she completed her PhD at UT Austin in 2013, advised by E. Allen Emerson and Vijay K. Garg, and was a postdoctoral researcher at IST Austria from 2014-2016 with Thomas A. Henzinger. She is a recipient of the 2019 NSF CAREER award. She works at the intersection of formal methods and programming languages to develop algorithms and tools for assisting programmers in writing reliable programs. Her current research agenda is centered around two themes—formal reasoning about distributed systems and semantics-driven inductive program synthesis and repair.
Xinyun Chen (UC Berkeley)
Elena Glassman (Massachusetts Institute of Technology)
More from the Same Authors
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2021 : Type Inference as Optimization »
Eirini V. Pandi · Earl Barr · Andrew Gordon · Charles Sutton -
2021 Poster: Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages »
Xinyun Chen · Dawn Song · Yuandong Tian -
2021 Poster: Learning Semantic Representations to Verify Hardware Designs »
Shobha Vasudevan · Wenjie (Joe) Jiang · David Bieber · Rishabh Singh · hamid shojaei · C. Richard Ho · Charles Sutton -
2021 Poster: A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics »
Kai Xu · Akash Srivastava · Dan Gutfreund · Felix Sosa · Tomer Ullman · Josh Tenenbaum · Charles Sutton -
2020 : closing talk »
Augustus Odena · Charles Sutton -
2020 : Xinyun Chen Talk »
Xinyun Chen -
2020 : Satish Chandra Talk »
Satish Chandra · Augustus Odena · Charles Sutton -
2020 : Spotlight Session 2 »
Augustus Odena · Kensen Shi · David Bieber · Ferran Alet · Charles Sutton · Roshni Iyer -
2020 : Elena Glassman Talk »
Elena Glassman -
2020 : Spotlight Session 1 »
Augustus Odena · Maxwell Nye · Disha Shrivastava · Mayank Agarwal · Vincent J Hellendoorn · Charles Sutton -
2020 : Roopsha Samanta Talk »
Roopsha Samanta -
2020 Workshop: Workshop on Computer Assisted Programming (CAP) »
Augustus Odena · Charles Sutton · Nadia Polikarpova · Josh Tenenbaum · Armando Solar-Lezama · Isil Dillig -
2020 : Welcome Talk »
Augustus Odena -
2020 Poster: Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples »
Samarth Sinha · Zhengli Zhao · Anirudh Goyal · Colin A Raffel · Augustus Odena -
2020 Poster: Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks »
David Bieber · Charles Sutton · Hugo Larochelle · Danny Tarlow -
2020 Poster: SMYRF - Efficient Attention using Asymmetric Clustering »
Giannis Daras · Nikita Kitaev · Augustus Odena · Alex Dimakis -
2020 Poster: Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis »
Kavi Gupta · Peter Ebert Christensen · Xinyun Chen · Dawn Song -
2020 Poster: Compositional Generalization via Neural-Symbolic Stack Machines »
Xinyun Chen · Chen Liang · Adams Wei Yu · Dawn Song · Denny Zhou -
2020 Poster: Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration »
Hanjun Dai · Rishabh Singh · Bo Dai · Charles Sutton · Dale Schuurmans -
2019 Poster: Coda: An End-to-End Neural Program Decompiler »
Cheng Fu · Huili Chen · Haolan Liu · Xinyun Chen · Yuandong Tian · Farinaz Koushanfar · Jishen Zhao -
2019 Poster: Learning to Perform Local Rewriting for Combinatorial Optimization »
Xinyun Chen · Yuandong Tian -
2018 : Panel on research process »
Zachary Lipton · Charles Sutton · Finale Doshi-Velez · Hanna Wallach · Suchi Saria · Rich Caruana · Thomas Rainforth -
2018 : Charles Sutton »
Charles Sutton -
2018 Poster: Realistic Evaluation of Deep Semi-Supervised Learning Algorithms »
Avital Oliver · Augustus Odena · Colin A Raffel · Ekin Dogus Cubuk · Ian Goodfellow -
2018 Spotlight: Realistic Evaluation of Deep Semi-Supervised Learning Algorithms »
Avital Oliver · Augustus Odena · Colin A Raffel · Ekin Dogus Cubuk · Ian Goodfellow -
2018 Poster: Tree-to-tree Neural Networks for Program Translation »
Xinyun Chen · Chang Liu · Dawn Song -
2018 Poster: HOUDINI: Lifelong Learning as Program Synthesis »
Lazar Valkov · Dipak Chaudhari · Akash Srivastava · Charles Sutton · Swarat Chaudhuri -
2017 Poster: VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning »
Akash Srivastava · Lazar Valkov · Chris Russell · Michael Gutmann · Charles Sutton -
2016 Workshop: Towards an Artificial Intelligence for Data Science »
Charles Sutton · James Geddes · Zoubin Ghahramani · Padhraic Smyth · Chris Williams -
2015 Poster: Latent Bayesian melding for integrating individual and population models »
Mingjun Zhong · Nigel Goddard · Charles Sutton -
2015 Spotlight: Latent Bayesian melding for integrating individual and population models »
Mingjun Zhong · Nigel Goddard · Charles Sutton -
2014 Poster: Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models »
Yichuan Zhang · Charles Sutton -
2014 Poster: Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation »
Mingjun Zhong · Nigel Goddard · Charles Sutton -
2012 Poster: Continuous Relaxations for Discrete Hamiltonian Monte Carlo »
Zoubin Ghahramani · Yichuan Zhang · Charles Sutton · Amos Storkey -
2012 Spotlight: Continuous Relaxations for Discrete Hamiltonian Monte Carlo »
Zoubin Ghahramani · Yichuan Zhang · Charles Sutton · Amos Storkey -
2011 Poster: Quasi-Newton Methods for Markov Chain Monte Carlo »
Yichuan Zhang · Charles Sutton