Christian Bartelt
12 papers · 2022–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (28) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9)
π
Cross-Pollinator
(10)
π
Grand Slam
ποΈ
Keyword Collector
(55)
π
Century Club
(12)
β‘
Prolific Year
(6)
Conferences
AAAI (2)
ICLR (2)
IJCAI (2)
ACL (1)
CONLL (1)
ICCV (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
vision transformer
(1)
model selection
(1)
online learning
(1)
binary classification
(1)
ensemble learning
(1)
probabilistic inference
(1)
hyperparameter optimization
(1)
symbolic reasoning
(1)
model evaluation
(1)
multimodal learning
(1)
model architecture
(1)
test-time adaptation
(1)
model interpretability
(1)
gradient descent
(1)
multi-class classification
(1)
distribution shift
(1)
tractable inference
(1)
data stream
(1)
decision tree
(1)
representation learning
(1)
Papers
DCBM: Data-Efficient Visual Concept Bottleneck Models
ICML 2025
Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages
NAACL 2025
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
ICLR 2025
Developmentally Plausible Multimodal Language Models Are Highly Modular
CONLL 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
NIPS 2024
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
ICLR 2024
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
AAAI 2024
A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task
ACL 2024
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
IJCAI 2024
Online Random Feature Forests for Learning in Varying Feature Spaces
AAAI 2023
A Multidimensional Analysis of Social Biases in Vision Transformers
ICCV 2023
Exchangeability-Aware Sum-Product Networks
IJCAI 2022