Helge Langseth
9 papers · 2003–2024 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🏃 Academic Marathon (21) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (13)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(21)
📈
Trend Setter
🗃️
Keyword Collector
(51)
🚀
Conference Pioneer
Conferences
PGM (4)
AAAI (1)
ACML (1)
ICML (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
bayesian network
(3)
conjugate exponential model
(2)
variational inference
(2)
feature extraction
(1)
uncertainty quantification
(1)
epistemic uncertainty
(1)
em algorithm
(1)
distributed learning
(1)
deep learning
(1)
distributed computing
(1)
natural gradient
(1)
map inference
(1)
message passing
(1)
structural learning
(1)
time series forecasting
(1)
simulated annealing
(1)
maximum a posteriori
(1)
prior information
(1)
variational message passing
(1)
attention mechanism
(1)
Papers
A Divide and Conquer Approach for Solving Structural Causal Models
PGM 2024
ASAP: Attention-Based State Space Abstraction for Policy Summarization
ACML 2023
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications
PGM 2022
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
UAI 2020
Forecasting Intra-Hour Imbalances in Electric Power Systems
AAAI 2019
Bayesian Models of Data Streams with Hierarchical Power Priors
ICML 2017
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
PGM 2016
d-VMP: Distributed Variational Message Passing
PGM 2016
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains
JMLR 2003