Marin Bilos - RankMe

23 papers A* 8Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Speculative Sampling for Parametric Temporal Point Processes. CoRR Marin Bilos, Anderson Schneider, Yuriy Nevmyvaka
2024	—	`—`	Machine Learning for Irregularly-Sampled Time Series. Marin Bilos
2024	J	`jnl`	Recurrent Interpolants for Probabilistic Time Series Prediction. CoRR Yu Chen, Marin Bilos, Sarthak Mittal, Wei Deng, Kashif Rasul, Anderson Schneider
2024	A*	`conf`	Variational Schrödinger Diffusion Models. ICML Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen
2024	J	`jnl`	Variational Schrödinger Diffusion Models. CoRR Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen
2023	A*	`conf`	Add and Thin: Diffusion for Temporal Point Processes. NeurIPS David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
2023	J	`jnl`	Add and Thin: Diffusion for Temporal Point Processes. CoRR David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
2023	J	`jnl`	Lag-Llama: Towards Foundation Models for Time Series Forecasting. CoRR 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
2023	A*	`conf`	Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion. ICML Marin Bilos, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann
2022	J	`jnl`	Irregularly-Sampled Time Series Modeling with Spline Networks. CoRR Marin Bilos, Emanuel Ramneantu, Stephan Günnemann
2022	J	`jnl`	Modeling Temporal Data as Continuous Functions with Process Diffusion. CoRR Marin Bilos, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann
2021	A*	`conf`	Neural Flows: Efficient Alternative to Neural ODEs. NeurIPS Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
2021	J	`jnl`	Neural Flows: Efficient Alternative to Neural ODEs. CoRR Marin Bilos, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
2021	A*	`conf`	Scalable Normalizing Flows for Permutation Invariant Densities. ICML Marin Bilos, Stephan Günnemann
2020	J	`jnl`	Deep Representation Learning and Clustering of Traffic Scenarios. CoRR Nick Harmening, Marin Bilos, Stephan Günnemann
2020	J	`jnl`	Equivariant Normalizing Flows for Point Processes and Sets. CoRR Marin Bilos, Stephan Günnemann
2020	A*	`conf`	Fast and Flexible Temporal Point Processes with Triangular Maps. NeurIPS Oleksandr Shchur, Nicholas Gao, Marin Bilos, Stephan Günnemann
2020	J	`jnl`	Fast and Flexible Temporal Point Processes with Triangular Maps. CoRR Oleksandr Shchur, Nicholas Gao, Marin Bilos, Stephan Günnemann
2020	A*	`conf`	Intensity-Free Learning of Temporal Point Processes. ICLR Oleksandr Shchur, Marin Bilos, Stephan Günnemann
2020	J	`jnl`	Towards linking social media profiles with user's WiFi preferred network list. Ad Hoc Networks Ante Dagelic, Mario Cagalj, Toni Perkovic, Marin Bilos
2019	J	`jnl`	Intensity-Free Learning of Temporal Point Processes. CoRR Oleksandr Shchur, Marin Bilos, Stephan Günnemann
2019	A*	`conf`	Uncertainty on Asynchronous Time Event Prediction. NeurIPS Bertrand Charpentier, Marin Bilos, Stephan Günnemann
2019	J	`jnl`	Uncertainty on Asynchronous Time Event Prediction. CoRR Marin Bilos, Bertrand Charpentier, Stephan Günnemann