Michael Bohlke-Schneider

Joined

May 2021

Names

Michael Bohlke-Schneider (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Researcher

Amazon Development Center Germany (amazon.de)

2018 – 2024

Researcher

Technische Universität Berlin (tu-berlin.de)

2016 – 2017

PhD student

TU Berlin (tu-berlin.de)

2010 – 2015

Advisors, Relations & Conflicts

PhD Advisor

Oliver Brock

2010 – 2015

Expertise

Time Series

2018 – Present

Forecasting

2018 – Present

Computational Biology

2003 – Present

Publications

Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
Mert Kayaalp, Ali Caner Turkmen, Oleksandr Shchur, Pedro Mercado, Abdul Fatir Ansari, Michael Bohlke-Schneider, Bernie Wang
- ICLR 2026 Poster
- Readers: Everyone
Multi-layer Stack Ensembles for Time Series Forecasting
Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Ali Caner Turkmen
- AutoML 2025 Methods Track
- Readers: Everyone
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Henri Joseph Senetaire, Ali Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram
- AISTATS 2025 Poster
- Readers: Everyone
A Flexible Forecasting Stack
Tim Januschowski, Yuyang Wang, Jan Gasthaus, Syama Sundar Rangapuram, Caner Turkmen, Jasper Zschiegner, Lorenzo Stella, Michael Bohlke-Schneider, Danielle C. Maddix, Konstantinos Benidis, Alexander Alexandrov, Christos Faloutsos, Sebastian Schelter
- Proc. VLDB Endow. 2024
- Readers: Everyone
Chronos: Learning the Language of Time Series
Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang
- Accepted by TMLR
- Readers: Everyone
Chronos: Learning the Language of Time Series
Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang
- CoRR 2024
- Readers: Everyone
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Bernie Wang
- NeurIPS 2023 poster
- Readers: Everyone
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang Wang
- NeurIPS 2023
- Readers: Everyone
Coherent Probabilistic Forecasting of Temporal Hierarchies
Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Pedro Mercado, Tim Januschowski, Yuyang Wang, Michael Bohlke-Schneider
- AISTATS 2023
- Readers: Everyone
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski
- 2023 (modified: 17 Apr 2023)
- ACM Comput. Surv. 2023
- Readers: Everyone

View all 27 publications

Co-Authors

View all 51 co-authors