James Thornton
@JamesTThornResearch Scientist @Apple ML Research, Paris | Stat / ML PhD Oxford @oxcsml Working on diffusions, optimal transport and sampling
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So I tried to build a tech company from Norway and here’s what happened: 1. Two years of building without almost any money/funding, better part of a year without salary 2. Raise VC and become one of Norway’s first unicorns 3. Face unrealized gains wealth tax bill of many x my…
Here’s how insane things have gotten in Norway: The Socialist Party has a “wall of shame” in their office with “rich people who have left Norway” - due to the outrageous taxes they’re now being charged. Who do you find on that wall? Startup founders like @hagaetc - who was…
Internship opportunity: If you're a PhD student interested in working with on probabilistic causal inference problems here at Amazon, please apply! amazon.jobs/en/jobs/282013…
I will be attending #EMNLP2024 in Miami! ☀️🌴 There will be talks, posters, .. more updates soon! Our team is also hiring interns, and an AIML resident (details below). Please reach out if you’re interested. DMs are open, and I will be at the Apple booth at 11am tomorrow! 1/2
How much is a noisy image worth? 👀 We show that as long as a small set of high-quality images is available, noisy samples become extremely valuable, almost as valuable as clean ones. Buckle up for a thread about dataset design and the value of data 💰
📝Admissions for our STATML are now open! ⏱️Deadline: 8th Jan '25 STATML is an @EPSRC funded CDT in Statistics & Machine Learning. Studentships are fully funded for a 4-year PhD/DPhil research programme. 🔗For more info, visit: statml.io
Spent the evening bullying a Markov chain into escaping a maze!
🔥Our work shows how to improve the expressivity of denoising distribution in discrete diffusion w/ energy-based models. We improve sampling from discrete diffusion using pre-trained LLMs, getting the best of both worlds (parallel decoding w/ diffusion, likelihood est. w/ LLM).
If you're a PhD student interested in interning with me or one of my amazing colleagues at Microsoft Research New England (@MSRNE, @MSFTResearch) this summer, please apply here jobs.careers.microsoft.com/global/en/job/…
(Re-post with revised application link) Our group is looking for PhD Research Interns for 2025 🔍 The NVIDIA Toronto AI Labs' interests lie at the intersection of machine learning, computer vision, and physics. I'm also interested in foundational ML work, building tools to…
One thing in AI research that I have finally recognized with clarity is the idea of “inertia bias”: continuing to do something when it’s not the best option. The most basic instance of inertia bias is the feeling of “I already spent time implementing X, so let me continue trying…
Geometric memorization (i.e. memorization of latent features) is a phenomenon where generative diffusion models lose degrees of freedom due to small dataset size. It can be seen as a glassy phase transition in the statistics of the score. Paper: arxiv.org/abs/2410.08727
Is pixel diffusion passé? In 'Simpler Diffusion' (arxiv.org/abs/2410.19324) , we achieve 1.5 FID on ImageNet512, and SOTA on 128x128 and 256x256. We ablated out a lot of complexity, making it truly 'simpler'. w/ @tejmensink @JonathanHeek @KayLamerigts @RuiqiGao @TimSalimans
Despite of what the posting says, these can be international (e.g. Europe)! Same for intern positions!
The Autonomous Vehicle (AV) Research group @nvidia is now hiring. From AV foundation models to AI safety and generative simulation, we are pushing the state of the art in AV and embodied AI! To apply: Junior RS: nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx… Senior RS: nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx…
Alert non-LLM internship position in Zurich Health AI 🍏🚨🧑💻 If you 1) have a strong background in deep probabilistic modeling, SBI, hybrid learning or causality 2) are curious about exciting health applications, you should apply! jobs.apple.com/en-il/details/…
AWS offers free hosting for academic datasets. You just have to contact them: aws.amazon.com/opendata/ This is how we hosted Argoverse and NuScenes.
Thrilled to share our latest work on consistency models! We simplified the math behind continuous-time consistency models, stabilized their training, and scaled them up to 1.5B parameters. We are now one step closer to real-time multimodal generation!
Excited to share our latest research progress (joint work with @DrYangSong ): Consistency models can now scale stably to ImageNet 512x512 with up to 1.5B parameters using a simplified algorithm, and our 2-step samples closely approach the quality of diffusion models. See more…
Introducing Mochi 1 preview. A new SOTA in open-source video generation. Apache 2.0. magnet:?xt=urn:btih:441da1af7a16bcaa4f556964f8028d7113d21cbb&dn=weights&tr=udp://tracker.opentrackr.org:1337/announce
🌪️ Can Gaussian-based diffusion models handle heavy-tailed data like extreme scientific events? The answer is NO. We’ve redesigned diffusion models with multivariate "Student-t" noise to tackle heavy tails! 📈 📝 Read more: arxiv.org/abs/2410.14171
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