Schirrmeister, Robin Tibor

1. Deep learning with convolutional neural networks for decoding and\n visualization of EEG pathology
   2017/08/26 by Robin Tibor Schirrmeister, Schirrmeister, Robin Tibor, Lukas Gemein +7 · 5 citations
   Medicine · Neuroscience · #ECG Monitoring and Analysis #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
2. EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
   2018/06/05 by Kay Gregor Hartmann, Robin Tibor Schirrmeister, Hartmann, Kay Gregor +3 · 5 citations
   Neuroscience · #Neural dynamics and brain function #EEG and Brain-Computer Interfaces #Functional Brain Connectivity Studies
3. TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
   2024/02/17 by Benjamin Feuer, Feuer, Benjamin, Robin Tibor Schirrmeister +13 · 11 citations
   Computer Science · #Embedded Systems Design Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Service-Oriented Architecture and Web Services #Software-Defined Networks and 5G
4. Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
   2020/06/18 by Robin Tibor Schirrmeister, Yuxuan Zhou, Schirrmeister, Robin Tibor +5 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection #Neural and Evolutionary Computing (cs.NE)
5. On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning
   2022/07/16 by Diane R. Wagner, Fábio Furlan Ferreira, Wagner, Diane +9 · 2 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
6. Deep Riemannian Networks for End-to-End EEG Decoding
   2022/12/20 by Daniel J. Wilson, Wilson, Daniel, Robin Tibor Schirrmeister +5 · 1 citation
   Engineering · Neuroscience · #Advanced Memory and Neural Computing #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #Signal Processing (eess.SP) #electronic engineering #information engineering