Johannes Lederer
8 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (9)
π
Cross-Pollinator
(5)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(17)
β
The Questioner
Conferences
AISTATS (2)
ICML (2)
JMLR (2)
ICLR (1)
WACV (1)
Top co-authors
Keywords
regularization parameter
(2)
semantic segmentation
(1)
few-shot learning
(1)
false discovery rate
(1)
anomaly detection
(1)
high-dimensional inference
(1)
network analysis
(1)
oracle inequality
(1)
probability distribution
(1)
lasso regression
(1)
high-dimensional regression
(1)
precision matrix estimation
(1)
graphical lasso
(1)
patch matching
(1)
generative model
(1)
gaussian graphical model
(1)
normalizing flow
(1)
heavy-tailed distribution
(1)
foundation model
(1)
graph recovery
(1)
Papers
How many samples are needed to train a deep neural network?
ICLR 2025
AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2
WACV 2025
Single-Model Attribution of Generative Models Through Final-Layer Inversion
ICML 2024
Marginal Tail-Adaptive Normalizing Flows
ICML 2022
False Discovery Rates in Biological Networks
AISTATS 2021
Estimating the Lasso's Effective Noise
JMLR 2021
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery
AISTATS 2021
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees
JMLR 2016