Richard Kurle
10 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (7) πΊοΈ Taxonomy Completionist (21)
π
Conference Polyglot
(5)
π
Academic Marathon
(7)
π
Renaissance Researcher
(5)
π
Grand Slam
π
Century Club
(10)
π₯
Unstoppable
(5)
π
Conference Pioneer
Conferences
NIPS (6)
AAAI (1)
AISTATS (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
variational inference
(4)
variational autoencoder
(3)
state-space model
(3)
posterior approximation
(2)
kalman filter
(2)
multivariate time series
(1)
time series
(1)
multi-source learning
(1)
mean-field approximation
(1)
particle filter
(1)
sequence prediction
(1)
riemannian geometry
(1)
gaussian process
(1)
time series forecasting
(1)
state space model
(1)
switching linear dynamical system
(1)
posterior inference
(1)
latent representation
(1)
dynamical system
(1)
constrained optimization
(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
NIPS 2022
Deep Explicit Duration Switching Models for Time Series
NIPS 2021
Latent Matters: Learning Deep State-Space Models
NIPS 2021
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
NIPS 2020
Continual Learning with Bayesian Neural Networks for Non-Stationary Data
ICLR 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis
NIPS 2020
Learning Hierarchical Priors in VAEs
NIPS 2019
Multi-Source Neural Variational Inference
AAAI 2019
Metrics for Deep Generative Models
AISTATS 2018