Awards
Research Awards
Best Paper Awards
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AAAI 2021 Distinguished Paper Award at the AAAI Conference on Artificial Intelligence for the paper "On the Tractability of SHAP Explanations" , coauthored with Anton Lykov, Maximilian Schleich and Dan Suciu.
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OOPSLA 2020 Distinguished Paper Award at the Conference on Object-Oriented Programming Systems, Languages,and Applications.
ACM SIGPLAN award for the paper "Scaling Exact Inference for Discrete Probabilistic Programs" , coauthored with Steven Holtzen, and Todd Millstein.
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StarAI 2020 Best Paper Award at the AAAI 2020 International Workshop on Statistical Relational AI for the (non-archival) paper "Towards a Tractable Relational Embedding Model" , coauthored with Tal Friedman.
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LLD 2017 Best Paper Runner-Up at the NIPS 2017 Workshop on Learning with Limited Labeled Data: Weak Supervision and Beyond for the paper "A Semantic Loss Function for Deep Learning Under Weak Supervision" , coauthored with Jingyi Xu, Zilu Zhang, Tal Friedman, and Yitao Liang.
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KR 2016 Best Student Paper Award at the International Conference on Principles of Knowledge Representation and Reasoning. Marco Cadoli Student Paper Prize for the paper "Open-World Probabilistic Databases" , coauthored with Ismail Ilkan Ceylan, and Adnan Darwiche.
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UAI 2015 Best Paper Award at the Conference on Uncertainty in Artificial Intelligence for the paper "Hashing-Based Approximate Probabilistic Inference in Hybrid Domains" , coauthored with Vaishak Belle and Andrea Passerini.
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AAAI 2014 Best Paper Honorable Mention at the AAAI Conference on Artificial Intelligence for the paper "Tractability through exchangeability: A new perspective on efficient probabilistic inference" , coauthored with Mathias Niepert.
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ILP 2011 Best Student Paper Award at the International Conference on Inductive Logic Programming (ILP 2011). Turing Theory Prize for the paper "k-optimal: A novel approximate inference algorithm for ProbLog" coauthored with Joris Renkens, and Siegfried Nijssen.
Thesis Awards
Service Awards