Ričards Marcinkevičs
5 papers · 2021–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (8)
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Renaissance Researcher
(5)
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Taxonomy Completionist
(15)
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The Questioner
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Trend Setter
Conferences
ICLR (2)
NIPS (2)
MLHC (1)
Top co-authors
Keywords
concept bottleneck model
(2)
interpretable machine learning
(2)
model interpretability
(1)
deep neural network
(1)
confidence region
(1)
group fairness
(1)
debiasing method
(1)
model fine-tuning
(1)
concept bottleneck
(1)
concept-based intervention
(1)
black box model
(1)
stochastic modeling
(1)
concept intervention
(1)
concept dependency
(1)
chest x-ray
(1)
neural network
(1)
concept dependencies
(1)
neural network pruning
(1)
distributional parameterization
(1)
probabilistic modeling
(1)
Papers
Stochastic Concept Bottleneck Models
NIPS 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
NIPS 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