Michael Bohlke-Schneider
8 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (6) π£ Hot Topic Early Bird
π
Cross-Pollinator
(12)
π
Interdisciplinary Bridge
π±
Topic Pioneer
Conferences
NIPS (3)
AISTATS (2)
AUTOML (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
time series forecasting
(4)
probabilistic forecasting
(3)
multivariate time series
(2)
deep learning
(1)
synthetic data generation
(1)
low-rank approximation
(1)
kalman filter
(1)
gaussian copula
(1)
temporal hierarchy
(1)
generative model
(1)
state space model
(1)
diffusion model
(1)
recurrent neural network
(1)
normalizing flow
(1)
temporal reconciliation
(1)
probabilistic forecast
(1)
graph neural network
(1)
neural network
(1)
coherent forecast
(1)
low-rank covariance
(1)
Papers
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
AISTATS 2025
Multi-layer Stack Ensembles for Time Series Forecasting
AUTOML 2025
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
NIPS 2023
Coherent Probabilistic Forecasting of Temporal Hierarchies
AISTATS 2023
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
ICLR 2022
GluonTS: Probabilistic and Neural Time Series Modeling in Python
JMLR 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis
NIPS 2020
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
NIPS 2019