Mathurin Massias

Assistant professor at Ecole polytechnique. Optimization, Federated Learning, Reinforcement Learning, Privacy

Neuron trainer and Earth Observation mage at IGN France. Kicking stuff until it works. 🌐 https://nicolas.audebert.at 🐘 http://mastodon.social/@nsh (he/him)

Professor in applied mathematics at University of Orléans 🇫🇷 & IUF Junior 2022 on an innovation chair. Interested in image processing and deep generative models. I teach generative models for imaging at #MasterMVA.

Research scientist at Google DeepMind. Creating noise from data.

Diffusion d'information pour l'association GRETSI : Groupe de Recherche et d’Études de Traitement du Signal et des Images (et disciples connexes)

Ph.D. student on generative models and domain adaptation for Earth observation 🛰 Previously intern @SonyCSL, @Ircam, @Inria 🌎 Personal website: https://lebellig.github.io/

ML Research scientist. Interested in geometry, information theory and statistics. Webpage: https://a-pouplin.github.io/

Co-founder and CEO, Mistral AI

Founding Researcher @ Stealth Startup & Inria & MVA. Ex: Llama @AIatMeta; Gemini and BYOL @GoogleDeepMind. LLMs, RL, alignment.

École normale supérieure de Lyon - Établissement d'enseignement supérieur

Research Scientist @ Google DeepMind - working on video models for science. Worked on video generation; self-supervised learning; VLMs - 🦩; point tracking.

Nashville, TN. Computational physicist into ML/AI to help humans' music production, tech & ethics, representation learning. Prof. @Belmont University. https://scotthawley.com

Postdoc in statistics at the Department of Mathematical Sciences, UCPH. Follow me at https://jolars.co.

Sociologue · chercheuse Sociologie des inégalités, de la culture et des sciences #genre et #maths

Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni

Associate prof. in Optim and ML

CIRM is quite a unique place. At the heart of the Parc des Calanques, it is entirely dedicated to welcome researchers from around the world who meet here. www.cirm-math.fr

VP of AI Research, Principal Scientist @ EIT Oxford | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine. Opinions my own. https://danilorezende.com/

Postdoctoral researcher at Inria in machine learning.

Associate professor @ University of Genoa https://malga.unige.it/

Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️‍♂️🎾🏐⛷️⛸️🧘‍♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️

CNRS researcher. Hates genAI with passion. Food and music 🎹 https://linktr.ee/bluecurlmusic

Senior researcher at IMAGINE (ENPC, LIGM). Machine learning & computer vision for 3D + geospatial + historical data. loiclandrieu.com

Machine learning Google DeepMind Paris

Professor in Computer Science. Love and hate AI Optimal Transport Affinicionado Head of Obelix group @Irisa

Software engineer at probabl, scikit-learn contributor. Also at: https://sigmoid.social/@ogrisel https://github.com/ogrisel

🧙🏻‍♀️ scientist at Meta NYC | http://bamos.github.io

Assistant Professor at École Polytechnique interested in Optimal Transport. More information at: https://clbonet.github.io/

Building the future of neural interfaces from EMG signals at Meta Reality Labs. Ex Research director at Inria, scikit-learn co-founder, mne-python creator.

Incoming Assistant Professor @Imperial College London. Post-doc @UniofOxford. Into Geometry ∩ Generative Models. @mila-quebec.bsky.social Affiliate member. Phd from @mila-quebec.bsky.social / McGill. website: https://joeybose.github.io/

PhD in Ockham Inria team @EnsDeLyon

Prof. at Univ. Rennes 2 ML for time series + a bit of Optimal Transport Maintainer of tslearn rtavenar.github.io

messing up with gaussians

Machine Learning Researcher at Inria

PhD student in Machine learning at Ecole Normale Supérieure, Paris My webpage: https://vcastin.github.io/

a bit of b.

Researcher at Criteo. Interested in Bandits, Privacy, Competitive Analysis, Reinforcement Learning. https://hugorichard.github.io/

Associate Professor at Princeton Machine Learning Researcher

Assistant professor at Université Paris Cité - LPSM. Working on optimization and machine learning.

Co-founding CEO at Formel AI • PhD from ENS Paris-Saclay 🔗 https://sylvaincom.github.io

Postdoc at ENS Paris https://rpetit.github.io

Ph.D. student in Machine Learning at Inria. Website: https://ambroiseodt.github.io/ Blog: https://logb-research.github.io

CNRS researcher at ENS

Research scientist, Google DeepMind

skrub is a Python library to ease preprocessing and feature engineering for tabular machine learning. Our long-term goal is to directly connect database tables to machine learning estimators. https://skrub-data.org https://discord.gg/ABaPnm7fDC

Machine learning in Python • Open Source https://scikit-learn.org

Researcher at CNRS & ENS working on the crossroads between machine learning and statistical physics.

Postdoc at Inria working on optimization and machine learning. Website: https://matdag.github.io/

Research engineer at Huawei. https://albertcthomas.github.io/blog/

Research Scientist at Meta | AI and neural interfaces | Interested in data augmentation, generative models, geometric DL, brain decoding, human pose, … 📍Paris, France 🔗 cedricrommel.github.io

Machine Learning researcher working on kernels and duality. Broad interest in machine learning and applications.

Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina

Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.

CNRS researcher at IRIT. Computational Imaging, Microscopy, Optimization, Machine Learning Website: https://www.irit.fr/~Emmanuel.Soubies/

Postdoc at Inria Grenoble with Julien Mairal. scottpesme.github.io

Assistant Professor @JohnsHopkinsAMS, Works in Mathematical Optimization, Mostly here to share pretty maths/3D prints, sometimes sharing my research

PhD student at TU Berlin, working on generative models and inverse problems he/him

full-time ML theory nerd, part-time AI-non enthusiast

ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. https://remi.flamary.com/

Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.

Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.

Researcher in mathematical optimization at Inria Grenoble, caffeine-fueled computational scientist and open-source developer

#chesspunk 🐙 #ML 🦈

Mathématiques en classes préparatoires aux grandes écoles. PhD in applied statistics: classification non supervisée (coclustering), sélection de modèles, algorithme bayésien, R. Mes propos n'engagent que moi.

https://nparikh.org

Professor of Computer Vision/Machine Learning at Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 😬 mostly silly personal views 📍Paris 🔗 https://davidpicard.github.io/

Love Physics, Maths, Machine learning, Computer Science but above all playing 🎸🎵 Happy dad 👧 👧. Also professor @ EPFL. Views are my own.

CNRS research director in computer graphics, part time assistant prof at Polytechnique

CNRS research director at Sorbonne University in Paris. Interested in black-box optimization (theory, benchmarking, applications, learning,...). ERC project dynaBBO on dynamic black-box optimization algorithms (consolidator grant)

Researcher at Inria Saclay, team Soda working on machine learning and causal inference for health data

Optimization and Machine Learning Assoc Prof Wharton stats http://OptimizationInPyTorch.com http://damekdavis.com/random

Doing mathematics, also as a job. Now at Uni Bremen, was at TU Braunschweig. Only here for the math. Optimization, inverse problems, imaging, learning - stuff like that.

Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL

Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.

Assistant Professor @ Politecnico di Torino, Istituto Italiano di Tecnologia, ELLIS Prev. ML Genoa Center & University of Genoa ML&Robotics 🐘 http://sigmoid.social/@raf_camo 🔗 www.linkedin.com/in/raffaellocamoriano I support a free & independent Ukraine

Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).

Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org

CNRS research scientist, based at ENS de Lyon I'm interested in AI for imaging inverse problems Looking to hire phds/postdocs! 🇦🇷🇬🇧🇫🇷 Website: https://tachella.github.io/ Deepinverter: https://deepinv.github.io/

Ass. Prof. of AI at CentraleSupélec in the Centre pour la Vision Numérique.

Researcher in machine learning

CNRS Researcher in Geometry Processing at Liris, Lyon (views are my own) https://perso.liris.cnrs.fr/julie.digne/

Professor of applied mathematics at the University of Toulouse Website: www.iutzeler.org

Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈

Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.

Research & code: Research director @inria ►Data, Health, & Computer science ►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social ►Sometimes does art photography ►Physics PhD

Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/

Research scientist, Inria. Statistical machine learning.

Professor at UT Nuremberg, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.

CNRS Researcher in maths & computer science. website: https://samuelvaiter.com

official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app