Lukas Fischer
AI & ML interests
Machine Learning, Deep Learning, LSTM/xLSTM, Generative Models (e.g. GANs, VAEs, AEs), Contrastive Learning, Transformers, Computer Vision, especially on medical data (e.g. segmentation, registration, classification, and tracking), Transfer Learning, Privacy Preserving Learning aspects
Recent Activity
upvoted a paper 2 days ago
Kronecker Delta Rule for Long Context Linear Attention new activity 6 days ago
NX-AI/TiRex:Long- and short-horizon skill, tested on days that post-date the model upvoted a paper 3 months ago
TiRex-2: Generalizing TiRex to Multivariate Data and Streaming