Tim Januschowski
16 papers · 2018–2023 · 6 venues · across top CS/AI venues
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Achievements
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Keyword Collector
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Research topics
Machine Learning
(14)
Data Science & Analytics
(11)
Methods
(11)
Optimization & Theory
(11)
Deep Learning
(8)
Artificial Intelligence
(7)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Core Methods
(6)
Learning Types Β· Deep Learning
(4)
Architectures
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Learning Types Β· Machine Learning
(3)
Models
(3)
Applications
(1)
Core AI
(1)
Keywords
time series
(6)
probabilistic forecasting
(6)
time series forecasting
(4)
recurrent neural network
(3)
probabilistic forecast
(3)
state space model
(3)
anomaly detection
(3)
deep learning
(3)
variational inference
(2)
quantile regression
(2)
event sequence
(2)
probabilistic model
(2)
temporal point process
(2)
neural network
(2)
mean-field approximation
(1)
probabilistic generative model
(1)
sequential hypothesis testing
(1)
data augmentation
(1)
transfer learning
(1)
multivariate time series
(1)
Papers
Coherent Probabilistic Forecasting of Temporal Hierarchies
AISTATS 2023
Multivariate Quantile Function Forecaster
AISTATS 2022
On the detrimental effect of invariances in the likelihood for variational inference
NeurIPS 2022
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
ICLR 2022
Deep Explicit Duration Switching Models for Time Series
NeurIPS 2021
Detecting Anomalous Event Sequences with Temporal Point Processes
NeurIPS 2021
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
ICML 2021
Neural Flows: Efficient Alternative to Neural ODEs
NeurIPS 2021
Neural Temporal Point Processes: A Review
IJCAI 2021
Online false discovery rate control for anomaly detection in time series
NeurIPS 2021
Probabilistic Forecasting: A Level-Set Approach
NeurIPS 2021
GluonTS: Probabilistic and Neural Time Series Modeling in Python
JMLR 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis
NeurIPS 2020
Deep Factors for Forecasting
ICML 2019
Probabilistic Forecasting with Spline Quantile Function RNNs
AISTATS 2019
Deep State Space Models for Time Series Forecasting
NeurIPS 2018