PC member at various venues in 2022
I serve as a technical program committee at AISTATS 22, ICLR 22, ICML 22, IJCAI 22, and UAI 22.
I serve as a technical program committee at AISTATS 22, ICLR 22, ICML 22, IJCAI 22, and UAI 22.
I have been selected among the very best reviewers (top-5%) in the UAI 2021.
I serve as a technical program committee at AAAI 21, ICLR 21, AISTATS 21, ICML 21, IJCAI 21, UAI 21, and ECML 21.
I serve as a technical program committee at ICML 2020 and ECML 2020.
I serve as a technical program committee at ECML 2019 and LWDA 2019.
I will give a talk in the workshop of “The Scoring Society” about fairness in Machine Learning on September 2nd, 2021.
I was invited to give a talk about Reinforcement Learning at TU Delft.
I will give a talk about Sequential Recommendation on December 6th, 2019, 10:00 at Leibniz University Hannover.
I will give a talk about “Contextual Models for Sequential Recommendation” on April 4th, 2019, 12:15 at Leuphana University of Lüneburg (Room C614.2013).
Our paper entitled “Toward Robust Uncertainty Estimation with Random Activation Functions” has been accepted at the Thirty-Seventh AAAI Conference on Artific...
Our paper entitled “FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers” has been accepted at the Northern Lights Deep Learning ...
Our proposal entitled “U-HEAL: A patient-centric lifestyle recommender system for optimizing treatment response in psychosis” has been accepted at the EWUU A...
Our paper entitled “Survey on Fair Reinforcement Learning: Theory and Practice” is now available on arXiv.
Our paper entitled “Rating Player Actions in Soccer” has been accepted at the Frontiers in Sports and Active Living journal.
We are looking for a highly motivated and skilled PhD candidate to work in the area of Machine Learning. Potential topics include, but are not restricted to:...
Our paper entitled “MuseBar: Alleviating Posterior Collapse in Recurrent VAEs toward Music Generation” has been accepted at the International Symposium on I...
Our paper entitled “Survey on Fair Reinforcement Learning: Theory and Practice” is now available on arXiv.
Our paper entitled “Survey on Fair Reinforcement Learning: Theory and Practice” is now available on arXiv.
Our paper entitled “Matrix Factorization with Denoising Autoencoders for Prediction of Drug–Target Interactions” has been published at the journal of Molecul...
An article about the role of artificial intelligence in various games was published (in Dutch) at the de Volkskrant, in which I was interviewed about how the...