[Apr/2021] Workshop Tractable Probabilistic Modeling accepted and will be hosted at the 37th Conference on Uncertainty in Artificial Intelligence.
[Apr/2021] “Novel AI driven approach to General Movement Assessment” has been accepted at Scientific Reports (Springer Nature).
[Mar/2021] Wieger Wesselink joined the group as Senior AI Engineer. Welcome, Wieger!
[Feb/2021] “High-Value Token-Blocking: Efficient Blocking Method for Record Linkage” has been accepted for publication in the ACM TKDD.
[Feb/2021] Vu-Linh Nguyen joined the group as Postdoc Researcher. Welcome, Linh!
[Feb/2021] Thomas Krak joined the group as Researcher. Welcome, Thomas!
[Dec/2020] “An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting” has been accepted for publication at IEEE ICDE 2021.
[Oct/2020] Maryam Tavakol joined the group as Assistant Professor. Welcome, Maryam!
[Sep/2020] Erik Quaeghebeur joined the group as Assistant Professor. He has great experience on robust uncertainty modelling for AI and AI-based surrogate modelling for complex systems. Welcome, Erik!
[Aug/2020] A Structured View on Weighted Counting with Relations to Counting, Quantum Computation and Applications has been accepted for publication in Information and Computation.
[Aug/2020] Sum-Product Network Decompilation, “Almost No News on the Complexity of MAP in Bayesian Networks”, and Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures have been accepted at PGM 2020.
[Jul/2020] Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits has been presented at ICML 2020.
[Jul/2020] Towards Robust Classification with Generative Forests has been accepted for presentation at ECML-PKDD 2020 Workshop on Uncertainty in Machine Learning.
[Jun/2020] “PS3: Partition-based Skew-Specialized Sampling for Batch Mode Active Learning in Imbalanced Text Data” has been accepted at ECML/PKDD 2020.
[Apr/2020] “Mitochondrial Toolbox” - A Review of Online Resources to Explore Mitochondrial Genomics has been accepted for publication at Frontiers in Genetics.
[Feb/2020] Probabilistic Circuits: Representations, Inference, Learning and Applications Tutorial presented at AAAI 2020.
[Jan/2020] Resource-Efficient Neural Networks for Embedded Systems has been included in the arxiv.org.
[Jan/2020] On Pruning for Score-Based Bayesian Network Structure Learning has been accepted for publication and to be presented at AISTATS 2020.
[Nov/2019] Robert Peharz joined the group as Assistant Professor. Welcome, Robert!