Richard Kurle
10 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Grand Slam
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Conference Pioneer
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Unstoppable · Bronze
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Century Club · Bronze
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Trend Setter
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Keyword Collector
(51)
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Models
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Core Methods
(4)
Data Science & Analytics
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Learning Types · Machine Learning
(3)
Methods
(3)
Core AI
(2)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Keywords
variational inference
(5)
state space model
(4)
variational autoencoder
(3)
kalman filter
(2)
bayesian neural network
(2)
posterior approximation
(2)
gaussian process
(1)
constrained optimization
(1)
online learning
(1)
time series forecasting
(1)
particle filter
(1)
mean-field approximation
(1)
sequence prediction
(1)
riemannian geometry
(1)
posterior inference
(1)
multi-source learning
(1)
switching linear dynamical system
(1)
multivariate time series
(1)
latent representation
(1)
time series
(1)
Papers
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
ICML 2025
On the detrimental effect of invariances in the likelihood for variational inference
NeurIPS 2022
Deep Explicit Duration Switching Models for Time Series
NeurIPS 2021
Latent Matters: Learning Deep State-Space Models
NeurIPS 2021
Continual Learning with Bayesian Neural Networks for Non-Stationary Data
ICLR 2020
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
NeurIPS 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis
NeurIPS 2020
Learning Hierarchical Priors in VAEs
NeurIPS 2019
Multi-Source Neural Variational Inference
AAAI 2019
Metrics for Deep Generative Models
AISTATS 2018