Andrea Dittadi
postdoc at Helmholtz AI | generative models & causal representation learning | previously PhD at DTU Copenhagen & intern at MPI, Microsoft Research, Amazon
addtt.github.io
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@ncklashansen.bsky.social
PhD student at UCSD. NVIDIA fellow. Prev: Meta AI, UC Berkeley, DTU. Interested in reinforcement learning and robots. 🏳️🌈 they/he https://www.nicklashansen.com
@laura-rieger-de.bsky.social
Postdoc at DTU Energy working on machine learning for modelling material science. Currently on a research stay at Sam Coopers group, Imperial College London
@federicobergamin.bsky.social
Postdoc in machine learning at the Technical University of Denmark (DTU). PhD from DTU. Spent time at Cambridge CBL, DTU, UBC, and University of Padova. https://federicobergamin.github.io/
@lucaeyring.bsky.social
ELLIS PhD student at TU Munich & Helmholtz AI Generative Modeling - Optimal Transport - Representation Learning https://lucaeyring.com/
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
@jonnyfrazer.bsky.social
Probabilistic machine learning to address questions in evolution and health #EvolutionaryMedicine. PI at the Centre for Genomic Regulation, co-leading a group with Mafalda Dias. Previously Harvard.
@smnlssn.bsky.social
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
@anderschri.bsky.social
ELLIS PhD Student in Machine Learning at DTU Copenhagen and Helmholtz AI Munich (formerly Tübingen AI Center, Google AR). Interested in generative modeling, computer vision, and more :)
@shyamgopal.bsky.social
PhD at Tübingen. Working on post-training diffusion and multimodal models. Previous research interns at Snapchat and Naver Labs. https://sgk98.github.io/
@crisostomi.bsky.social
🧑🎓 PhD stud. @ Sapienza, Rome 🥷stealth-mode CEO 🔬prev visiting @ Cambridge | RS intern @ Amazon Search | RS intern @ Alexa. 🆓 time 🎭improv theater, 🤿scuba diving, ⛰️hiking
@beatrixmgn.bsky.social
PhD student in machine learning at DTU, Copenhagen. Especially interested in model representations.
@marcofm.bsky.social
PostDoc @ISTAustria 🧑🏻💻 | Organizer of @unireps.bsky.social | Member @ellis.eu | Prev. PhD @SapienzaRoma @ELLISforEurope | @amazon AWS AI | @autodesk AI Lab | (he/him)
@divyat.bsky.social
Ph.D. Student at Mila Visiting Researcher at Meta FAIR Causality, Trustworthy ML Former: Microsoft Research, IIT Kanpur divyat09.github.io
@maxseitzer.bsky.social
Research Scientist, Meta FAIR. Previously: PhD at MPI-IS / Uni Tübingen. Representation learning, structure, objects.
@ninoscherrer.bsky.social
Research Scientist at Google | Interested in rigorous evaluations, cognitive science, multi-agent systems and causality | Prev: Vector Institute, Mila, Max Planck Institute, ETH Zurich https://ninodimontalcino.github.io/
@singhgautam.bsky.social
ML Postdoc @ Lawrence Livermore National Lab • System 2 Thinking in Machines • Past: NVIDIA Research, Amazon, IBM Research • B.Tech. IIT Guwahati • PhD @RutgersCS with Sungjin Ahn
@zadaianchuk.bsky.social
Postdoc UvA Amsterdam. PhD in ETH Zürich and MPI IS, intern in Amazon AWS. Structured representation learning for and by autonomous agents. zadaianchuk.github.io
@scobleizer.bsky.social
Advocate for tech that makes humans better | Spatial Computing, Holodeck, and AI Futurist | Ex-Microsoft, Rackspace | Co-author, "The Infinite Retina."
@neuralnoise.com
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
@ema-ridopoco.bsky.social
Almost-PhD-completed in AI @ University of Trento and Pisa. I like #concepts, #symbols, and #representations, but I still don't know what they are. 📍 Trento, Italy 🧵 #identifiability, #shortcuts, #interpretability
@richtertill.bsky.social
Machine Learning for Computational Biology | PhD Student @ TUM, Helmholtz Munich with Fabian Theis, Niki Kilbertus
@kristinaulicna.bsky.social
Research Scientist 👩💻 at @valenceai.bsky.social 🧬🧪, powered by @recursionpharma.bsky.social 🔬🤖 | Bringing @mila-quebec.bsky.social spirit from Montréal 🇨🇦🍁 to our new London office 🇬🇧 | Enthusiastic "singlecellologist" 👩🔬🧫 into #AI & 🐍💻
@samuelepapa.bsky.social
Deep Learning PhD student @ University of Amsterdam and The Netherlands Cancer Institute. Loving real-world applications, physics, 3D understanding and medical imaging.
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@icannistraci.bsky.social
PostDoc at ETH Zurich | Prev. PhD at Sapienza Roma| Working on Representation Learning. irene.cannistraci.dev
@stefanabaumann.bsky.social
PhD Student at @compvis.bsky.social & @ellis.eu working on generative computer vision. Interested in extracting world understanding from models and more controlled generation. 🌐 https://stefan-baumann.eu/
@gcorso.bsky.social
PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery
@mandanas.bsky.social
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup. Doing research on AI and Neuroscience 🤖🧠 Based in Montreal. 🇨🇦
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@simonbatzner.bsky.social
Senior RS at DeepMind. Likes deep learning, supercomputing, physics. Prev: Google Brain, Harvard, MIT, NASA
@dpkingma.bsky.social
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
@vicenteor.bsky.social
Rice University, Associate Professor of Computer Science. Computer Vision, Multimodal AI, Deep Learning. Houston, Texas. Check our work at https://vislang.ai/
@confusezius.bsky.social
Large Models, Multimodality, Continual Learning | ELLIS ML PhD with Oriol Vinyals & Zeynep Akata | Previously Google DeepMind, Meta AI, AWS, Vector, MILA 🔗 karroth.com
@cianeastwood.bsky.social
Senior Research Scientist at Valence Labs. Generative modeling (causal, multimodal) and generalisation for scientific discovery. PhD in ML from UofEdinburgh and MPI-IS, with time at Google DeepMind, Meta AI and Spotify. 📍London 🔗 cianeastwood.github.io
@zeynepakata.bsky.social
Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
@sigmabayesian.bsky.social
Visiting Researcher @NYU Courant, CILVR. PhD student @TU Denmark, MLLS(https://mlls.dk). Probabilistic ML/DL. Nth order Markovian. Support Manifolds and latents. Previously intern @SonyAI in deep generative modelling. web: http://uppalanshuk.github.io
@raghavian.bsky.social
Assistant Prof. (TT) UCPH #Carbontracker #EfficientML #MedicalImageAnalysis #GraphNeuralNetworks
@pierrealquier.bsky.social
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 🌈
@lucamb.bsky.social
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
@jobrandstetter.bsky.social
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien