Diffusion models leverage a variety of samplers. Deterministic methods... like DDIM produce orderly paths. In contrast, stochastic samplers like DDPM produce chaotic trajectories. Despite their differences, both methods draw valid samples from the underlying distribution.show more

Stochastic and deterministic sampling strategies for diffusion models produce... strikingly different trajectories, but both ultimately achieve the same aim. I had a great time presenting our work, Diffusion Explorer, this week at IEEE VIS in Vienna.show more

Flow matching produces smooth, deterministic trajectories. In contrast, the... sampling process of a diffusion model is chaotic, resembling the random motion of gas particles.show more

Langevin Monte Carlo allows you to draw samples from... a probability distribution using its log gradient ∇ log p(x). By performing a sort of gradient ascent with noise you can navigate around the distribution. Langevin MC is heavily related to modern diffusion models.show more

Israel employs inhumane and degrading methods in the distribution... of humanitarian aid to Gaza's residents.show more

There are only a few ways to image the... brain without surgery: electricity, magnets, light, sound. All existing methods either produce blurry images or require a room-sized machine. Our image is captured with ultrasound transmitted through the skull, with a contrast agent.show more

Veg NI are a cooperative of growers in Northern... Ireland promoting their produce in the face of fierce import competition. The brand centres around the idea of ‘Parful Produce’ (‘Powerful Produce’ if you’re not from NI). Find out more on our instagram @jackrenwickstudioshow more

What $30 of fresh produce looks like in El... Salvador 🇸🇻show more

I made a tool called Diffusion Explorer that lets... you to train and visualize simple 2D diffusion and flow models live in the browser. You can draw your own distributions and observe how the generated samples converge during training. Try it live 👇show more

What does the endoplasmic reticulum look like in a... live cell, thanks to super-resolution microscopy? Nature Methodsshow more

The Raspy Cricket can produce silk-not from its body... like a spider, but from its mouth, to form sheltersshow more

The latent space of earlier generative models like GANS... can linearly encode concepts of the data. What if the data was model weights? We present weights2weights, a subspace in diffusion weights that behaves as an interpretable latent space over customized diffusion models.show more

Keeping it fresh for 2026 and beyond. Krown Produce... and Aston Martin Aramco are excited to announce a multi-year deal, with the Canadian leader in premium produce and pioneer in importing for retail and wholesale distribution.show more

Training large models with RL typically runs on a... fixed homogeneous cluster of the latest accelerators for numerical stability and faster throughput. This throws away inference optimization work done for other vendors and generations, limits the capacity you can utilize, and is unnecessarily expensive. So we trained a model on agentic coding tasks using fully asynchronous RL and mixed-precision, mixed-accelerator samplers. With off-policy correction, training stayed stable through convergence, on par with homogeneous samplers, at a lower cost.show more

If ITV decided to produce an All-Stars series featuring... 16 housemates from their four series, what would your cast look like? #BBUKshow more

Google is making progress on their diffusion models... It's... now as good as a Gemini 2.0 Flash Lite. The writing is on the wall, a majority of language AI use in the future will be diffusion models.show more

Capturing smoke from burning plastic in a bag demonstrates... the significant amount of pollution a single fire can produceshow more

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models... "Block diffusion sequentially generates blocks of tokens by performing diffusion within each block and conditioning on previous blocks. By combining strength from autoregressive and diffusion models, block diffusion overcomes the limitations of both approaches by supporting variable-length, higher-quality generation and improving inference efficiency with KV caching and parallel sampling."show more