Johannes Lederer
8 papers · 2016–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Keywords
generative model
(2)
regularization parameter
(2)
anomaly detection
(2)
semantic segmentation
(1)
generalization error
(1)
sample complexity
(1)
false discovery rate
(1)
network analysis
(1)
oracle inequality
(1)
probability distribution
(1)
graphical lasso
(1)
lasso regression
(1)
high-dimensional regression
(1)
precision matrix estimation
(1)
high-dimensional inference
(1)
few-shot learning
(1)
patch matching
(1)
learning theory
(1)
gaussian graphical model
(1)
generative modeling
(1)
Papers
AnomalyDINO: Boosting Patch-Based Few-Shot Anomaly Detection with DINOv2
WACV 2025
How many samples are needed to train a deep neural network?
ICLR 2025
Single-Model Attribution of Generative Models Through Final-Layer Inversion
ICML 2024
Marginal Tail-Adaptive Normalizing Flows
ICML 2022
Estimating the Lasso's Effective Noise
JMLR 2021
False Discovery Rates in Biological Networks
AISTATS 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