Lukas Schott
6 papers · 2017–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Keywords
generative factor
(2)
adversarial robustness
(1)
domain generalization
(1)
manifold learning
(1)
weakly supervised learning
(1)
gaussian process
(1)
feature sharing
(1)
neural population
(1)
latent variable model
(1)
latent variable
(1)
adversarial example
(1)
latent factor
(1)
sparse prior
(1)
analysis by synthesis
(1)
class-conditional distribution
(1)
l-inf robustness
(1)
temporal sparse coding
(1)
representation learning
(1)
ensemble detection
(1)
Papers
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
ICLR 2023
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
ICLR 2022
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
ICLR 2021
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions
ECCV 2020
Towards the first adversarially robust neural network model on MNIST
ICLR 2019
Learned Watershed: End-To-End Learning of Seeded Segmentation
ICCV 2017