Ričards Marcinkevičs
5 papers · 2021–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
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The Questioner
Venues
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Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Core Methods
(3)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Domain-Specific
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
interpretable machine learning
(2)
concept bottleneck model
(2)
stochastic gradient
(1)
probabilistic modeling
(1)
variational inference
(1)
granger causality
(1)
model interpretability
(1)
survival analysis
(1)
nonlinear dynamics
(1)
multivariate time series
(1)
deep neural network
(1)
confidence region
(1)
group fairness
(1)
debiasing method
(1)
model fine-tuning
(1)
concept bottleneck
(1)
deep generative model
(1)
concept-based intervention
(1)
stochastic modeling
(1)
concept intervention
(1)
Papers
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
NeurIPS 2024
Stochastic Concept Bottleneck Models
NeurIPS 2024
A Deep Variational Approach to Clustering Survival Data
ICLR 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods
MLHC 2022
Interpretable Models for Granger Causality Using Self-explaining Neural Networks
ICLR 2021