Michael Bohlke-Schneider
8 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
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Keywords
time series forecasting
(6)
probabilistic forecasting
(3)
multivariate time series
(2)
covariance estimation
(1)
deep learning
(1)
synthetic data generation
(1)
low-rank approximation
(1)
time series
(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)
synthetic data
(1)
ensemble model
(1)
pre-trained model
(1)
generative adversarial network
(1)
Papers
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
AISTATS 2025
Multi-layer Stack Ensembles for Time Series Forecasting
AutoML 2025
Coherent Probabilistic Forecasting of Temporal Hierarchies
AISTATS 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
NeurIPS 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
NeurIPS 2020
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
NeurIPS 2019