Biloš, Marin

11 publications

NeurIPSW 2024 Recurrent Interpolants for Probabilistic Time Series Prediction Yu Chen, Marin Biloš, Sarthak Mittal, Wei Deng, Kashif Rasul, Anderson Schneider

ICML 2024 Variational Schrödinger Diffusion Models Wei Deng, Weijian Luo, Yixin Tan, Marin Biloš, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen

NeurIPS 2023 Add and Thin: Diffusion for Temporal Point Processes David Lüdke, Marin Biloš, Oleksandr Shchur, Marten Lienen, Stephan Günnemann

NeurIPSW 2023 Lag-Llama: Towards Foundation Models for Time Series Forecasting Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Biloš, Hena Ghonia, Nadhir Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish

ICML 2023 Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann

NeurIPSW 2022 Modeling Temporal Data as Continuous Functions with Process Diffusion Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann

NeurIPS 2021 Neural Flows: Efficient Alternative to Neural ODEs Marin Biloš, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann

ICML 2021 Scalable Normalizing Flows for Permutation Invariant Densities Marin Biloš, Stephan Günnemann

NeurIPS 2020 Fast and Flexible Temporal Point Processes with Triangular Maps Oleksandr Shchur, Nicholas Gao, Marin Biloš, Stephan Günnemann

ICLR 2020 Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur, Marin Biloš, Stephan Günnemann

NeurIPS 2019 Uncertainty on Asynchronous Time Event Prediction Marin Biloš, Bertrand Charpentier, Stephan Günnemann