2 citations · 2 across the 5 of their papers we have counts for
5 papers
High-Fidelity 3D Simulator for Synthetic fNIRS Data Generation
Condell Eastmond, Niels Bracher, Xavier Intes +1
Functional near-infrared spectroscopy (fNIRS) provides a noninvasive window into brain activity by measuring task-related changes in oxygenated and deoxygenated hemoglobin in the c…
Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks
Leonid Pogorelyuk, Niels Bracher, Aaron Verkleeren +2
We pilot a family of stable contrastive losses for learning pixel-level representations that jointly capture semantic and geometric information. Our approach maps each pixel of an…
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
Niels Bracher, Lars Kühmichel, Desi R. Ivanova +3
We consider problems of parameter estimation where design variables can be actively optimized to maximize information gain. To this end, we introduce JADAI, a framework that jointl…
Diffusion Models in Simulation-Based Inference: A Tutorial Review
Jonas Arruda, Niels Bracher, Ullrich Köthe +2
Diffusion models have recently emerged as powerful learners for simulation-based inference (SBI), enabling fast and accurate estimation of latent parameters from simulated and real…
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
Lynton Ardizzone, Jakob Kruse, Carsten Lüth +3
We introduce a new architecture called a conditional invertible neural network (cINN), and use it to address the task of diverse image-to-image translation for natural images. This…