Mateja Jamnik
26 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (5)
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Cross-Pollinator
(10)
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Grand Slam
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Keyword Champion
(2)
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Prolific Year
(10)
ποΈ
Keyword Collector
(118)
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Century Club
(26)
Conferences
NIPS (9)
AAAI (7)
ICML (5)
ICLR (4)
ECCV (1)
Top co-authors
Research topics
Keywords
transfer learning
(3)
neural network
(3)
large language model
(3)
concept representation
(2)
tabular datum
(2)
mathematical reasoning
(2)
premise selection
(2)
concept bottleneck model
(2)
automated theorem proving
(2)
biomedical datum
(2)
explainable ai
(2)
knowledge representation
(2)
multimodal learning
(1)
information retrieval
(1)
embedding learning
(1)
data augmentation
(1)
hyperparameter optimization
(1)
multilingual nlp
(1)
visual representation
(1)
medical imaging
(1)
Papers
Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine
ICLR 2025
NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones
ICML 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
ICML 2025
Measuring Cross-Modal Interactions in Multimodal Models
AAAI 2025
Neural Reasoning for Sure Through Constructing Explainable Models
AAAI 2025
End-to-End Ontology Learning with Large Language Models
NIPS 2024
Generation of Visual Representations for Multi-Modal Mathematical Knowledge
AAAI 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
NIPS 2024
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
NIPS 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
NIPS 2024
Multi-language Diversity Benefits Autoformalization
NIPS 2024
Efficient Bias Mitigation Without Privileged Information
ECCV 2024
Dynamics-Informed Protein Design with Structure Conditioning
ICLR 2024
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
ICML 2024
Understanding Inter-Concept Relationships in Concept-Based Models
ICML 2024
Learning to Receive Help: Intervention-Aware Concept Embedding Models
NIPS 2023
Interpretable Neural-Symbolic Concept Reasoning
ICML 2023
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data
AAAI 2023
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
ICLR 2023
Towards Robust Metrics for Concept Representation Evaluation
AAAI 2023
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract)
AAAI 2022
Autoformalization with Large Language Models
NIPS 2022
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
NIPS 2022
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers
NIPS 2022
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)
AAAI 2020
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
ICLR 2020