Schott, Lukas
- Comparative Study of Deep Learning Software Frameworks
2015/11/19 by Soheil Bahrampour, Naveen Ramakrishnan, Bahrampour, Soheil +5 · 2 voices
#cs.LG
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse\n Coding
2020/07/21 by David Klindt, Klindt, David, Lukas Schott +11 · 12 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Towards the first adversarially robust neural network model on MNIST
2018/05/23 by Schott, Lukas, Rauber, Jonas, Bethge, Matthias +1 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Score-Based Generative Classifiers
2021/10/01 by Zimmermann, Roland S., Schott, Lukas, Song, Yang +2 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learned Watershed: End-to-End Learning of Seeded Segmentation
2017/04/07 by Wolf, Steffen, Schott, Lukas, Köthe, Ullrich +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
2021/07/17 by Schott, Lukas, von Kügelgen, Julius, Träuble, Frederik +6 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
2022/10/06 by Martin Bjerke, Bjerke, Martin, Lukas Schott +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Cell Image Analysis Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
- Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data
2024/05/06 by Leonhard Hennicke, Hennicke, Leonhard, C. Adriano +7 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications
- Attention Is All You Need For Mixture-of-Depths Routing
2024/12/30 by Advait Gadhikar, Gadhikar, Advait, Majumdar, Souptik Kumar +8 · 1 citation
Engineering · #Manufacturing Process and Optimization #VLSI and FPGA Design Techniques #Optimization and Packing Problems
- Improving Knowledge Distillation Under Unknown Covariate Shift Through Confidence-Guided Data Augmentation
2025/06/02 by Niclas Popp, Kevin Alexander Laube, Popp, Niclas +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #cs.CV