Best Paper Awards
LLD 2017 Best Paper Runner-Up, at the NIPS 2017 Workshop on Learning with Limited Labeled Data: Weak Supervision and Beyond (LLD 2017).
Awarded for the paper "A Semantic Loss Function for Deep Learning Under Weak Supervision" , coauthored with Jingyi Xu, Zilu Zhang, Tal Friedman, and Yitao Liang.
KR 2016 Best Student Paper Award, Marco Cadoli Student Paper Prize, for the best student paper at the International Conference on Principles of Knowledge Representation and Reasoning (KR 2016).
Awarded for the paper "Open-World Probabilistic Databases" , coauthored with Ismail Ilkan Ceylan and Adnan Darwiche.
UAI 2015 Best Paper Award, for the best paper (out of 292) at the Conference on Uncertainty in Artificial Intelligence (UAI 2015), funded by Microsoft.
Awarded for the paper "Hashing-Based Approximate Probabilistic Inference in Hybrid Domains" , coauthored with Vaishak Belle and Andrea Passerini.
AAAI 2014 Best Paper Award Honorable Mention, for the 5 best papers (out of 1406) at the AAAI Conference on Artificial Intelligence (AAAI 2014).
Awarded for the paper "Tractability through exchangeability: A new perspective on efficient probabilistic inference" , coauthored with Mathias Niepert.
ILP 2011 Best Student Paper Award, Turing Theory Prize, for the best student paper at the International Conference on Inductive Logic Programming (ILP 2011), funded by Machine Learning Journal.
Awarded for the paper "k-optimal: A novel approximate inference algorithm for ProbLog" coauthored with Joris Renkens and Siegfried Nijssen.