Tim Januschowski
16 papers · 2018–2023 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(14)
🌍
Conference Polyglot
(6)
🤝
Dynamic Duo
(10)
🏆
Keyword Champion
(2)
🌱
Topic Pioneer
💎
Century Club
(16)
🗃️
Keyword Collector
(58)
📈
Trend Setter
⚡
Prolific Year
(7)
🔥
Unstoppable
(6)
Conferences
NIPS (8)
AISTATS (3)
ICML (2)
ICLR (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
probabilistic forecasting
(6)
time series
(5)
time series forecasting
(4)
deep learning
(3)
recurrent neural network
(3)
anomaly detection
(3)
probabilistic forecast
(3)
quantile regression
(2)
probabilistic model
(2)
variational inference
(2)
temporal point process
(2)
state space model
(2)
event sequence
(2)
neural network
(2)
stochastic process
(1)
mean-field approximation
(1)
probabilistic generative model
(1)
sequential hypothesis testing
(1)
transfer learning
(1)
posterior inference
(1)
Papers
Coherent Probabilistic Forecasting of Temporal Hierarchies
AISTATS 2023
On the detrimental effect of invariances in the likelihood for variational inference
NIPS 2022
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
ICLR 2022
Multivariate Quantile Function Forecaster
AISTATS 2022
Neural Flows: Efficient Alternative to Neural ODEs
NIPS 2021
Online false discovery rate control for anomaly detection in time series
NIPS 2021
Deep Explicit Duration Switching Models for Time Series
NIPS 2021
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
ICML 2021
Neural Temporal Point Processes: A Review
IJCAI 2021
Probabilistic Forecasting: A Level-Set Approach
NIPS 2021
Detecting Anomalous Event Sequences with Temporal Point Processes
NIPS 2021
GluonTS: Probabilistic and Neural Time Series Modeling in Python
JMLR 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis
NIPS 2020
Probabilistic Forecasting with Spline Quantile Function RNNs
AISTATS 2019
Deep Factors for Forecasting
ICML 2019
Deep State Space Models for Time Series Forecasting
NIPS 2018