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Topic: denoising

Seminar
1 seminar
Podcast episode
1 podcast episode

In Applied Mathematics and Artificial Intelligence

Podcast episode · Machine Learning

High-Efficiency Diffusion Models for On-Device Image Generation and Editing

The TWIML AI Podcast

Oct 28, 2025

Hung Bui examines efficient diffusion models for image generation and editing on devices. The discussion covers SwiftBrush and SwiftEdit, distillation from iterative teachers into single-step students, and a coach network that aligns denoising behaviour. It also considers personalised agents and reasoning under fixed compute budgets.

Seminar · Computational Neuroscience

Representation transfer and signal denoising through topographic modularity

Barna Zajzon · Morrison lab, Forschungszentrum Jülich, Germany

Thu, Nov 4, 2021 · 16:30 UTC

To prevail in a dynamic and noisy environment, the brain must create reliable and meaningful representations from sensory inputs that are often ambiguous or corrupt. Since only information that permeates the cortical hierarchy can influence sensory perception and decision-making, it is critical that noisy external stimuli are encoded and propagated through different processing stages with minimal signal degradation. Here we hypothesize that stimulus-specific pathways akin to cortical topographic maps may provide the structural scaffold for such signal routing. We investigate whether the featur