Marin Bilos

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Point Processes

Diffusion Models

Top Venues

Ad Hoc Networks

Publications

Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen
Variational Schrödinger Diffusion Models. CoRR (2024)
David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
Add and Thin: Diffusion for Temporal Point Processes. NeurIPS (2023)
David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
Add and Thin: Diffusion for Temporal Point Processes. CoRR (2023)
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, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish
Lag-Llama: Towards Foundation Models for Time Series Forecasting. CoRR (2023)
Marin Bilos, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion. ICML (2023)
Marin Bilos, Emanuel Ramneantu, Stephan Günnemann
Irregularly-Sampled Time Series Modeling with Spline Networks. CoRR (2022)
Marin Bilos, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann
Modeling Temporal Data as Continuous Functions with Process Diffusion. CoRR (2022)
Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
Neural Flows: Efficient Alternative to Neural ODEs. NeurIPS (2021)
Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
Neural Flows: Efficient Alternative to Neural ODEs. CoRR (2021)
Marin Bilos, Stephan Günnemann
Scalable Normalizing Flows for Permutation Invariant Densities. ICML (2021)
Ante Dagelic, Mario Cagalj, Toni Perkovic, Marin Bilos
Towards linking social media profiles with user's WiFi preferred network list. Ad Hoc Networks 107 (2020)
Oleksandr Shchur, Marin Bilos, Stephan Günnemann
Intensity-Free Learning of Temporal Point Processes. ICLR (2020)
Oleksandr Shchur, Nicholas Gao, Marin Bilos, Stephan Günnemann
Fast and Flexible Temporal Point Processes with Triangular Maps. NeurIPS (2020)
Nick Harmening, Marin Bilos, Stephan Günnemann
Deep Representation Learning and Clustering of Traffic Scenarios. CoRR (2020)
Oleksandr Shchur, Nicholas Gao, Marin Bilos, Stephan Günnemann
Fast and Flexible Temporal Point Processes with Triangular Maps. CoRR (2020)
Marin Bilos, Stephan Günnemann
Equivariant Normalizing Flows for Point Processes and Sets. CoRR (2020)
Bertrand Charpentier, Marin Bilos, Stephan Günnemann
Uncertainty on Asynchronous Time Event Prediction. NeurIPS (2019)
Oleksandr Shchur, Marin Bilos, Stephan Günnemann
Intensity-Free Learning of Temporal Point Processes. CoRR (2019)
Marin Bilos, Bertrand Charpentier, Stephan Günnemann
Uncertainty on Asynchronous Time Event Prediction. CoRR (2019)