Tom Wollschläger
9 papers · 2023–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Optimization & Theory
(6)
Architectures
(5)
Artificial Intelligence
(4)
Application Areas
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core AI
(2)
Learning Types
(2)
Natural Language Processing
(1)
Core Methods
(1)
Generation
(1)
Models
(1)
Techniques
(1)
Keywords
graph neural network
(4)
epistemic uncertainty
(2)
out-of-distribution detection
(2)
uncertainty quantification
(2)
policy gradient
(1)
adversarial attack
(1)
3d reconstruction
(1)
gaussian process
(1)
anomaly detection
(1)
distribution shift
(1)
uncertainty sampling
(1)
generalization
(1)
point cloud generation
(1)
diffusion model
(1)
randomized smoothing
(1)
inductive bia
(1)
node classification
(1)
energy-based model
(1)
image segmentation
(1)
active learning
(1)
Papers
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space
ICLR 2025
REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
ICML 2025
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
ICML 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
ICML 2025
Energy-based Epistemic Uncertainty for Graph Neural Networks
NeurIPS 2024
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
ICML 2024
Uncertainty for Active Learning on Graphs
ICML 2024
Localized Randomized Smoothing for Collective Robustness Certification
ICLR 2023
Uncertainty Estimation for Molecules: Desiderata and Methods
ICML 2023