Generative Modeling Summer School (GeMSS)
Excited about
🎓 Generative Modeling Summer School / Statlearn
🗓️ Mar 31 - Apr 4, 2025, France
ℹ️ gemss.ai
🎟️ Deadline: Jan 27, 2025
🧑🏫 Yingzhen Li, @stephanmandt.bsky.social, Aude Sportisse, Anna Korba, @glouppe.bsky.social, @jesfrellsen.bsky.social, @pamattei.bsky.social, @jmtomczak.bsky.social, TBA
10.01.2025 10:42 — 👍 24 🔁 11 💬 0 📌 1
🔥You enjoyed @arnauddoucet.bsky.social talk but want even more Schrodinger Bridge? Come talk to me at our poster!
🔷Schrodinger Bridge Flow for Unpaired Data Translation
🔊 East Exhibit Hall A-C #2504
Work done with my amazing collaborators Ira Korshunova
Andriy Mnih and @arnauddoucet.bsky.social
13.12.2024 17:52 — 👍 17 🔁 2 💬 0 📌 0
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition!
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
27.11.2024 09:00 — 👍 354 🔁 102 💬 12 📌 11
This. Training a high dimensional discriminator as a proxy to the log likelihood and doing it so successfully had a ripple effect. Also people forget styleGAN, progressiveGAN and text to image GAN models.
28.11.2024 05:53 — 👍 2 🔁 0 💬 0 📌 0
This year, there are 16 positions at CNRS in computer science (8 in "applied" domains → ask me - 8 on "fundamental" domains → ask the other David).
@mathurinmassias.bsky.social has a good list of advice mathurinm.github.io/cnrs_inria_a...
Official 🔗 www.ins2i.cnrs.fr/en/cnrsinfo/...
Don't wait!
23.11.2024 19:33 — 👍 32 🔁 18 💬 2 📌 1
Highly interested! Dropping you an email.
23.11.2024 05:32 — 👍 0 🔁 0 💬 0 📌 0
Hi Nathan, I am interested in applying but the job link doesn't seem to be working?
23.11.2024 02:05 — 👍 0 🔁 0 💬 0 📌 0
Seminar on Advances in Probabilistic Machine Learning
This seminar series aims to provide a platform for young researchers (PhD student or post-doc level) to give invited talks about their research, intending to have a diverse set of talks & speakers on ...
For those who don’t know yet, I am organising an online talk series together with Arno Solin on “Advances in Probabilistic Machine Learning (APML)”.
It’s free for everyone to join and support early career researchers!
You can register and check out the schedule here: aaltoml.github.io/apml/
20.11.2024 20:33 — 👍 93 🔁 30 💬 2 📌 1
✋
20.11.2024 06:52 — 👍 0 🔁 0 💬 1 📌 0
For theoreticians there's just more incentive to find that wall, so they can go back to doing what they were before.
19.11.2024 23:40 — 👍 2 🔁 0 💬 0 📌 0
Me as well 🙋. Thanks
19.11.2024 05:07 — 👍 0 🔁 0 💬 2 📌 0
Alright, let’s try out that 🦋 thing! I’ll try to post some little pieces about machine learning, uncertainty, and applied maths in general!
18.11.2024 20:00 — 👍 9 🔁 1 💬 0 📌 0
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of
@tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
Postdoc @harvard.edu @kempnerinstitute.bsky.social
Homepage: http://satpreetsingh.github.io
Twitter: https://x.com/tweetsatpreet
Creative and controllable AI Researcher
MSU Lomonosov -> MPI-inf (PhD) -> Inria (Postdoc) -> CVSSP/PAI (Assistant Professor) -> Adobe
https://yulia.gryaditskaya.com
ML Research Scientist @ Flagship Pioneering
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A business analyst at heart who enjoys delving into AI, ML, data engineering, data science, data analytics, and modeling. My views are my own.
You can also find me at threads: @sung.kim.mw
Drug Discovery Fellow @ DE Shaw Research
Comp chem, biological/protein engineering, viruses
Past: PhD ‘22 MIT HST, ‘17 Harvey Mudd
Senior AI/ML Engineer, Causal Machine Learning at GSK.ai | ML, Statistics, Causal Inference, Genetics/Genomics, Statistical Physics
Husband. Father. Artificial Intelligence and Machine Learning. Software Developer. Retired Army Intelligence Officer. Progressive. Antifascist. GenX. INTP.
Colorado, USA.
Post-doc @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
CTO at Osmo. Digitizing Smell.
Boston/NYC
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
MLE @ Apple | Prev. Stanford, IITB, Google Research | soumyac1999.github.io
Senior ML Scientist I at BigHat Biosciences.
Previously: AstraZeneca, Secondmind, PhD student & Gates Cambridge Scholar at CBL in Cambridge.
Views are my own.
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
Postdoc in machine learning at the Technical University of Denmark (DTU) 🇩🇰. PhD from DTU 🇩🇰. Spent time at Cambridge CBL 🇬🇧, UBC 🇨🇦, and University of Padova 🇮🇹.
https://federicobergamin.github.io/
Lecturer at the University of Bristol.
probabilistic ML, optimisation, interpretability, LLM evals.
