Dynamical Inference Lab
Dynamical Inference Lab
Home
Team
Research
Join us!
Outreach
Steffen Schneider*
Latest
Sparse Autoencoders Reveal Selective Remapping of Visual Concepts During Adaptation
Self-supervised contrastive learning performs non-linear system identification
Learnable Latent Embeddings for Joint Behavioral and Neural Analysis
Contrastive Learning Inverts the Data Generating Process
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Improving Robustness against Common Corruptions by Covariate Shift Adaptation
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
Iron-Sequestering Nanocompartments as Multiplexed Electron Microscopy Gene Reporters
wav2vec: Unsupervised Pre-training for Speech Recognition
Multi-Task Generalization and Adaptation between Noisy Digit Datasets: An Empirical Study
Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains
Towards Desynchronization Detection in Biosignals
NeuBtracker — imaging neurobehavioral dynamics in freely behaving fish
Context-based Normalization of Histological Stains using Deep Convolutional Features
Cite
×