Talks
Invited TalkJul 2021
Invited TalkOct 2020
TutorialMay 2020

Probabilistic Circuits: Inference, Representations, Learning and Theory
UCLA Computer Science Department - CS201 Seminar
Invited TalkJan 2020

Towards a New Synthesis of Reasoning and Learning
CSE Colloquia Series, Washington University in St. Louis
TalkDec 2019
Guest LectureDec 2019
Invited TalkOct 2019
Colloquium Talk at Harvey Mudd College
Invited TutorialSep 2019
Invited TalkSep 2019
Invited TutorialAug 2019
Invited TalkApr 2019

Towards a New Synthesis of Reasoning and Learning
Northeastern University, Khoury College of Computer Sciences
Invited TalkApr 2019
Invited TalkMar 2019
Invited TalkFeb 2019
Invited TalkFeb 2019

Probabilistic and Logistic Circuits: A New Synthesis of Logic and Machine Learning
RelationalAI ArrowheadCon
Invited TalkDec 2018
Oral PresentationDec 2018
Approximate Knowledge Compilation by Online Collapsed Importance Sampling ( video)
NeurIPS 2018, Montreal, Canada
TalkNov 2018
Invited TalkMay 2018

Probabilistic Circuits: A New Synthesis of Logic and Machine Learning
Computer Science Department, University of California, San Diego
Panelist2018
Women & Philanthropy Spring Event on Artificial Intelligence, University of California, Los Angeles
Invited Talk2017
Invited Talk2017
Talk2017

PSDDs for Tractable Learning in Structured and Unstructured Spaces
Computer Science Department, University of British Columbia
Invited Talk2017
Invited Talk2017
Invited Talk2017
Invited Talk2016
Invited Talk2016
Invited Talk2016
Probabilistic Reasoning by First-Order Model Counting ( video)
Workshop on Uncertainty in Computation, Simons Institute, Berkeley
Invited Talk2016
Invited Talk2016
Talk2016
Invited Talk2015
Invited Talk2015

First-Order Knowledge Compilation for Probabilistic Reasoning
Symposium on New Frontiers in Knowledge Compilation, Vienna Center for Logic and Algorithms, Austria
Invited Talk2015
Invited Tutorial2015
An Overview of Statistical Relational Learning
Alberto Mendelzon Graduate School on Data Management, Lima, Peru
Talk2015
Invited Talk2015

Scalable Inference and Learning for High-Level Probabilistic Models
Department of Computer Science, Cornell University
Invited Talk2015
Invited Talk2015
Scalable Inference and Learning for High-Level Probabilistic Models ( video)
Department of Computer Science & Engineering, University of Washington, Seattle
Invited Talk2015

Scalable Inference and Learning for High-Level Probabilistic Models
Department of Computer Science, University of Southern California
Invited Talk2015

Scalable Inference and Learning for High-Level Probabilistic Models
Department of Computer Science, University of California, Irvine
Invited Talk2015

Scalable Inference and Learning for High-Level Probabilistic Models
Cheriton School of Computer Science, University of Waterloo
Invited Talk2015

Scalable Inference and Learning for High-Level Probabilistic Models
Computer Sciences Department, University of Wisconsin-Madison
Invited Talk2015

Scalable Inference and Learning for High-Level Probabilistic Models
Department of Computer Science, Tufts University
Invited Talk2015

Scalable Inference and Learning for High-Level Probabilistic Models
Department of Computer Science and Informatics, Indiana University, Bloomington
Invited Talk2015

Scalable Inference and Learning for High-Level Probabilistic Models
School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne
Invited Talk2015

Scalable Inference and Learning for High-Level Probabilistic Models
Computer Science Department, University of California, Los Angeles
Talk2015

On the Role of Canonicity in Knowledge Compilation
AAAI Conference on Artificial Intelligence, Austin, Texas,
Talk2015

Lifted Probabilistic Inference for Asymmetric Graphical Models
AAAI Conference on Artificial Intelligence, Austin, Texas,
Tutorial2014
Invited Tutorial2014

Lifted inference in statistical relational models
International workshop on Big Uncertain Data (BUDA), ACM SIGMOD/PODS conference, Snowbird
Invited Talk2014
ECCAI Dissertation Award Ceremony at the European Conference on Artificial Intelligence (ECAI), , Prague, Czech Republic
Invited Talk2014
Scientific prize IBM Belgium for Informatics Award Ceremony, IBM, Brussels, Belgium
Invited Talk2014
Lifted Inference and Learning in Statistical Relational Models,
Center for Data Science, University of Washington, Tacoma
Talk2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference ( video)
Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe
Talk2012

Recent advances in lifted inference at Leuven
Spring Workshop on Mining and Learning, Bad Neuenahr, Germany
Talk2011

On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference ( video)
25th Annual Conference on Neural Information Processing Systems (NIPS), Granada, Spain
Talk2011
Invited Talk2011

Monte-Carlo tree search for multi-player, no-limit Texas hold’em poker
SIKS Symposium on Strategic Decision-Making in Complex Games, Maastricht University, Netherlands
Tutorial Presenter2011
Talk2010

DTProbLog: A Decision-Theoretic Probabilistic Prolog
Twenty-fourth AAAI Conference on Artificial Intelligence, Atlanta