UCL CSML @ELLISforEurope Unit regrouping @GatsbyUCL, @uclcs and @stats_UCL. We organise the @JumpTrading CSML Seminar Series.
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Joined March 2012
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UCL CSML retweeted
This Monday, Oct 19, Justin Deschenaux (@jdeschena) will present his paper:
Simplex Diffusion Models
A reminder of the online talk today! Note a change of speaker, @jdeschena will be presenting instead on the same topic. Hope to see lots of you there!
The UCL CSML Seminar is back! For our first talk, Valentin de Bortoli (GDM) @ValentinDeBort1 will present simplex diffusion models! The talk will be 12:30 (BST) Wed 14 of Oct at @SWC_Neuro @GatsbyUCL , and streamed at ucl.zoom.us/j/99748820264.
The UCL CSML Seminar is back! For our first talk, Valentin de Bortoli (GDM) @ValentinDeBort1 will present simplex diffusion models! The talk will be 12:30 (BST) Wed 14 of Oct at @SWC_Neuro @GatsbyUCL , and streamed at ucl.zoom.us/j/99748820264.
Tagging some relevant people @agalashov @ArthurGretton @ArnaudDoucet1 @liwenliang @JamesTThorn @AndrewC_ML @jdeschena
UCL CSML retweeted
🔥Welcome 🔺Simplex Diffusion Models🔻!
Standard discrete diffusion models suffer from "information collapse" because they discard uncertainty at intermediate steps by sampling categorical tokens. (1/5)
UCL CSML retweeted
Interested in a #PhD in machine learning & theoretical neuroscience?
Applications for 2027 entry to the Gatsby Unit PhD programme now open!
💰 Fully-funded 4-year programme
🤝 Close links to Sainsbury Wellcome Centre & the ELLIS Unit @ UCL (@uclcsml)
ℹ️ ucl.ac.uk/life-sciences/gats…
UCL CSML retweeted
Applying to #UCL for a PhD in AI? Then be sure to apply for ELLIS as well! A great opportunity to collaborate with leading European AI labs.
🎓 Ready for a PhD in AI/ML? The #ELLISPhD Program connects top students with leading researchers across Europe.
The application portal opens on 1 Oct.
Register now to join the virtual info session on 30 Sep.
All info at bit.ly/3TrH9CJ
UCL CSML retweeted
🎓 Ready for a PhD in AI/ML? The #ELLISPhD Program connects top students with leading researchers across Europe.
The application portal opens on 1 Oct.
Register now to join the virtual info session on 30 Sep.
All info at bit.ly/3TrH9CJ
UCL CSML retweeted
New Aggregation Methods!
-SingleBatch SB
-TwoBatch TB
-DataDriven SB
-Sequential SB
Applications
-Multiple Hypothesis Testing
-Conformal Prediction
MMDAgg-SB HSICAgg-SB
-Exact level
-Higher power
-Admit p-value
-Minimax optimal
Schrab* Shah Gretton Kim*
arxiv.org/abs/2607.15823
UCL CSML retweeted
Optimized MMD for Detecting Distribution Shift!
Video:
slideslive.com/39064367/opti…
and slides
gatsby.ucl.ac.uk/~gretton/co…
from the #ICLR26 workshop
sites.google.com/view/iclr-2…
Covers:
jmlr.org/papers/v24/21-1289.…
and
proceedings.neurips.cc/paper…
UCL CSML retweeted
Meet DiffusionGemma!
An experimental open model that explores a fast approach to text generation, released under an Apache 2.0 license.
Moving beyond sequential, token-by-token processes to generate entire blocks of text simultaneously. Here’s what’s new with DiffusionGemma: 👇
UCL CSML retweeted
Final deadline reminder: applications to AAE close today.
Join us at Gatsby for two days on adaptive experimentation, causal inference, bandits, RL, and sequential decision-making.
Apply: aae-workshop.github.io/info/
UCL CSML retweeted
🚨 🧵 New paper: Finite-particle rates for drifting models.
Drifting trains 1-step generators by moving model μ toward data ν with a conservative or non-conservative velocity field. Consider data on x-axis, model on the y-axis. These 2 fields yield 2 different motions. 1/7
UCL CSML retweeted
Your drifting model is secretly a fixed point for the Wasserstein gradient flow on...
...the KL?
...an approximation to the Sinkhorn?
...Is it even a Wasserstein gradient flow at all?
arxiv.org/abs/2605.05118
@liwenliang @agalashov @JamesTThorn @ValentinDeBort1 @ArnaudDoucet1
Next Wednesday (May 13) at 12:30 pm we’re excited to have Long Tran-Thanh (Warwick) present his work on “Pruning at initialization through the lens of graphon limits”. The seminar will be streamed live at ucl.zoom.us/j/99748820264.
UCL CSML retweeted
Come spend 2 days in adaptive experimentation, causal inference, & online learning at @ucl this June.
Co-organised by @uclcsml, it brings together researchers across theory, methodology, & applications.
📍 London 🇬🇧
📅 18-19 June
⏰ Apply by 28 May
🔗 bit.ly/4wbHrMJ
This Wednesday (May 6th) 12:30 pm, we are excited to have Ben Dai (CUHK) present his work on “RankSEG: A consistent ranking-based framework for segmentation”. The seminar will be streamed at ucl.zoom.us/j/99748820264. Please note the event is online only.
UCL CSML retweeted
🚀 Excited to announce the Advances in Adaptive Experimentation (AAE) Workshop!
📅 June 18–19
🔗 aae-workshop.github.io/info/
Join us at @GatsbyUCL in London for two days at the frontier of causal inference 🧩, adaptive experiments 🔁, and bandits/RL 🤖!
UCL CSML retweeted
Looking forward to this!
Excited to share our ICML 2026 Hypothesis Testing Workshop in Seoul, this July! @icmlconf
🎉This workshop aims to bring together researchers developing modern hypothesis testing methodology and applying it to machine learning problems such as robustness, distribution shift, security, medicine, and LLM evaluation. In other words, if you care about how we make ML claims rigorous, this workshop is for you.
We now have four confirmed speakers:
Arthur Gretton @ArthurGretton,
Yao Xie @yaoxie21851119,
Bo Li @uiuc_aisecure, and
Yisong Yue @yisongyue.
The organizing team includes Xiuyuan Cheng (Duke), Feng Liu @AlexFengLiu1, Lester Mackey @LesterMackey, Shayak Sen @shayaksen, Danica J. Sutherland
@d_j_sutherland, and Nathaniel Xu (UBC).
📌 Submission deadline: 10 May 2026
📌 Notification: 26 May 2026
📌 Camera-ready: 17 June 2026
📌 Workshop date: July 10 or 11, 2026 (TBA)
🚩Check more information below!
🔗Website: testing.ml
🔗Submission Portal: openreview.net/group?id=ICML…
We’re also recruiting PC members/reviewers.
🔗 Reviewer interest form: docs.google.com/forms/d/e/1F…
🏁Please feel free to share this with colleagues, collaborators, and students who may be interested.
#ICML #ICML26
