Uncertainty on Asynchronous Time Event Prediction. - Bertrand Charpentier; Marin Bilos; Stephan Günnemann (NeurIPS, 2019)

Intensity-Free Learning of Temporal Point Processes. - Oleksandr Shchur; Marin Bilos; Stephan Günnemann (ICLR, 2020)

Fast and Flexible Temporal Point Processes with Triangular Maps. - Oleksandr Shchur; Nicholas Gao; Marin Bilos; Stephan Günnemann (NeurIPS, 2020)

Towards linking social media profiles with user's WiFi preferred network list. - Ante Dagelic; Mario Cagalj; Toni Perkovic; Marin Bilos (Ad Hoc Networks, 2020)

Deep Representation Learning and Clustering of Traffic Scenarios. - Nick Harmening; Marin Bilos; Stephan Günnemann (CoRR, 2020)

Equivariant Normalizing Flows for Point Processes and Sets. - Marin Bilos; Stephan Günnemann (CoRR, 2020)

Scalable Normalizing Flows for Permutation Invariant Densities. - Marin Bilos; Stephan Günnemann (ICML, 2021)

Neural Flows: Efficient Alternative to Neural ODEs. - Marin Bilos; Johanna Sommer; Syama Sundar Rangapuram; Tim Januschowski; Stephan Günnemann (NeurIPS, 2021)

Irregularly-Sampled Time Series Modeling with Spline Networks. - Marin Bilos; Emanuel Ramneantu; Stephan Günnemann (CoRR, 2022)

Modeling Temporal Data as Continuous Functions with Process Diffusion. - Marin Bilos; Kashif Rasul; Anderson Schneider; Yuriy Nevmyvaka; Stephan Günnemann (CoRR, 2022)

Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion. - Marin Bilos; Kashif Rasul; Anderson Schneider; Yuriy Nevmyvaka; Stephan Günnemann (ICML, 2023)

Add and Thin: Diffusion for Temporal Point Processes. - David Lüdke; Marin Bilos; Oleksandr Shchur; Marten Lienen; Stephan Günnemann (NeurIPS, 2023)

Lag-Llama: Towards Foundation Models for Time Series Forecasting. - Kashif Rasul; Arjun Ashok; Andrew Robert Williams; Arian Khorasani; George Adamopoulos; Rishika Bhagwatkar; Marin Bilos; Hena Ghonia; Nadhir Vincent Hassen; Anderson Schneider; Sahil Garg; Alexandre Drouin; et al. (CoRR, 2023)

Variational Schrödinger Diffusion Models. - Wei Deng 002; Weijian Luo; Yixin Tan; Marin Bilos; Yu Chen; Yuriy Nevmyvaka; Ricky T. Q. Chen (ICML, 2024)

Recurrent Interpolants for Probabilistic Time Series Prediction. - Yu Chen; Marin Bilos; Sarthak Mittal; Wei Deng 002; Kashif Rasul; Anderson Schneider (CoRR, 2024)

Machine Learning for Irregularly-Sampled Time Series. - Marin Bilos (2024)