Pascal Mettes

PhD student at Osaka University. NeuroAI, brain decoding

Agents, memory, representations, robots, vision. Sr Research Scientist at Google DeepMind. Previously at Oxford Robotics Institute. Views my own.

Associate Professor at Unimore. Interested in Computer Vision, Language, and Multimedia.

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

Official Account for the European Conference on Computer Vision (ECCV) #ECCV2026, Malmo 🇸🇪 Hosted by @jbhaurum and @CSProfKGD

Assistant Professor of CS @University of Bath 🇬🇧| Ph.D. & postdoc @EPFL 🇨🇭| Publicity Co-Chair @CVPR 2025 & 2026| Co-chair WiCV @CVPR| General Chair- AI for Visual Arts| ELLIS member

Assistant Professor at @@utwente.bsky.social, Netherlands. Computer vision for image and video understanding. https://estefaniatalavera.github.io/

Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social

Applied Scientist at Microsoft. Computer Vision | Deep Learning | Machine Learning

Postdoc at MIT CSAIL and Harvard Medical School. Working on geometry processing for healthcare and biology https://people.csail.mit.edu/abulnaga/

EurIPS is a community-organized, NeurIPS-endorsed conference in Copenhagen where you can present papers accepted at @neuripsconf.bsky.social eurips.cc

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

Assistant professor at Télécom Paris, Institut Polytechnique de Paris 🇨🇵🇨🇴. #GeometricDeepLearning #ComputerVision https://jhonygiraldo.github.io/

Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar

Postdoctoral Researcher @ University of Pisa | Ph.D. @ University of Padova | Research Intern @ Samsung Research UK | Visiting Ph.D. Mila - Quebec AI Institute, Concordia University https://donaldssh.github.io/

Research Lead @parameterlab.bsky.social working on Trustworthy AI Speaking 🇫🇷, English and 🇨🇱 Spanish | Living in Tübingen 🇩🇪 | he/him https://gubri.eu

Prof @ School of Data Science, University of Virginia. Formerly at IU. Networks, data science, and machine learning. https://yyahn.com 🚲🚲🚲

🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ

ELLIS PhD Candidate @ Radboud University Nijmegen, exchange @ University of Oxford.

Official account of ICML

AI/ML, Computer vision, Deep learning

Cognitive neuroscientist. I use M/EEG to study how our brain predicts and attends to the world around us. Based at CIMeC, University of Trento (IT). Guest at Donders Institute, Radboud University (NL).

AI Researcher working on AI for Science Research Scientist @ arsenale.bio | Prev Research Scientist @ Georgia Tech & @ Naver Labs Europe | Prev Board Member @ ContinualAI | PhD from RIT | https://tyler-hayes.github.io

Post-doc at VIB-KU Leuven

PhD candidate @ University of Amsterdam evgeniia.tokarch.uk

PhD student in ML @uni_tue & @hdm_stg Interested in robust vision and object-centric learning 🌌🔴🔶💙🟩

Assistant Professor in machine learning @VUAmsterdam Abstract representations+reinforcement learning.

Prof for AI. Interested in knowledge graphs, ML with background knowledge, Web science, AI Ethics

Tenured Asst Prof at the Uni Groningen, Uncertainty in Machine Learning, Robotics, Chilean, Photographer, Feminist, Snoopy lover, Dr #latinXinAI

PhD student at the University of Tuebingen. Computer vision, video understanding, multimodal learning. https://ninatu.github.io/

Ph.D. student at Visual Recognition Group, Czech Technical University in Prague 🔗 https://stojnicv.xyz

Research Scientist at Apple for uncertainty quantification.

https://katrinrenz.de/ LLMs + Autonomous Driving. PhD Student at Uni Tübingen with Andreas Geiger. Previously at Wayve & Uni Oxford, VGG.

Associate Prof @ UniPD Machine Intelligence Group @ IAS-Lab https://iaslab.dei.unipd.it/groups/mig/

Marrying classical CV and Deep Learning. I do things, which work, rather than being novel, but not working. http://dmytro.ai

Computer vision PhD student from Prague. https://klarajanouskova.github.io/

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.

3D Vision and Robotics - PostDoc @ Stanford https://francisengelmann.github.io/

Prof. Social and Affective Computing, Utrecht University. Former institutions: Boğaziçi University, Nagoya University, University of Amsterdam, CWI. https://webspace.science.uu.nl/~salah006/

ML Engineer at NVIDIA. Previously: Stealth GPU startup; Stability AI; AMD; Autodesk; CEO of 2 startups (3D + AI). Toronto, Canada

Professor in the Informatics Institute, University of Amsterdam. Director of the Digital Interactions Lab.

PhD student at TU Munich Working on 3D reconstruction, optimization theory and such things website: linusnie.github.io/ github: github.com/Linusnie scholar: scholar.google.com/citations?user=HWAA

Official account for IEEE/CVF Conference on Computer Vision & Pattern Recognition. Hosted by @CSProfKGD with more to come. 📍🌎 🔗 cvpr.thecvf.com 🎂 June 19, 1983

Chief Scientist @ AIST | Academic Visitor @ Oxford VGG | PI @ cvpaper.challenge | 3D ResNet (Top 0.5% in 5-yr CVPR) | FDSL (ACCV20 Award/BMVC23 Award Finalist)

Professor at Michigan | Voxel51 Co-Founder and Chief Scientist | Creator, Builder, Writer, Coder, Human

Principal Research Scientist in Computer Vision at Naver Labs Europe https://philippeweinzaepfel.github.io/

Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com

Research Scientist at Meta GenAI

Doing research in 3D Computer Vision. Ph.D. student at the University of Amsterdam. Previously at TUM. https://vladimiryugay.github.io/

Research faculty @ImagineENPC. https://gulvarol.github.io/

CS Prof at the University of Oregon, studying adversarial machine learning, data poisoning, interpretable AI, probabilistic and relational models, and more. Avid unicyclist and occasional singer-songwriter. He/him

PhD Student, Cognitive Affective Technology Lab, TU Delft Website: http://sayakmukherjee.github.io

Professor of Computer Vision and AI at TU Munich, Director of the Munich Center for Machine Learning mcml.ai and of ELLIS Munich ellismunich.ai cvg.cit.tum.de

I am a Professor of Computer Science at EPFL in Switzerland. My main research interests are in Computer Vision, Machine Learning, Computer Assisted Engineering, and Biomedical imaging.

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

Postdoc at Amazon on MLLM - ex CMU, PoliTo, IIT https://gmberton.github.io/

MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨ bit.ly/olga-zaghen

AI tinkerer and protagonist. Pro-democracy. Resisting fascism. The Singularity is near. Musician.

generative models and making them faster

Postdoctoral Researcher @ Inria Montpellier (IROKO, Pl@ntNet) SSL for plant images Interested in Computer Vision, Natural Language Processing, Machine Listening, and Biodiversity Monitoring Website: ilyassmoummad.github.io

#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of @tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social

Lecturer (assistant professor) at the University of Bath. Work website: https://www.davidemoltisanti.com/research. My photos: https://www.davidemoltisanti.com

Working on machine learning for science and symmetry/equivariance in RL. She/her. Senior Researcher at Microsoft Research Amsterdam. https://www.elisevanderpol.nl/ & https://sigmoid.social/@elisevanderpol

computer vision | TU Munich working on 3D reconstruction, beyond-euclidean geometry, semantic segmentation website: https://simonwebertum.github.io

PhD Student working on bioimaging inverse problems with @florianjug.bsky.social at @humantechnopole.bsky.social + @tudresden.bsky.social | Prev: computer vision Hitachi R&D, Tokyo. 🔗: https://rayanirban.github.io/ Likes 🏸🏋️🏔️🏓 and ✈️

Father. AI Freelancer @ 🇮🇹. Ph.D. @KAUST_AEx. @AdobeResearch @Qualcomm_EU @samsungresearch Wandering Caribbean 🇨🇴, ☮️❤️❌⚔️

Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/

Researcher at TU Munich Visiting Faculty at Google https://arnike.github.io

🎥 YouTube: https://www.youtube.com/@GMTK 🍓 GMTK Game Jam: http://gmtk.itch.io 🔠 Word Play: http://s.team/a/3586660/ 🧲 Mind Over Magnet: http://s.team/a/2685900/

Open indie game marketplace and DIY game jam host Account support? Email support@itch.io ❗📢 You can use your itchio URL as your Bluesky username, check here: https://itch.io/user/settings/bluesky

Head of Video & Image Sense Lab | University of Amsterdam | Scientific Director Amsterdam AI | https://www.ceessnoek.info/

Professor, University of Tübingen @unituebingen.bsky.social. Head of Department of Computer Science 🎓. Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social. ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu. CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺

Postdoc at Utrecht University, previously PhD candidate at the University of Amsterdam Multimodal NLP, Vision and Language, Cognitively Inspired NLP https://ecekt.github.io/

CV & ML Ph.D. student at @uva.nl | prev. Univ. of Tuebingen, MPI-IS | Teaching machines to perceive humans. | anticdimi.github.io

Assistant Professor of Computer Science at TU Darmstadt, Member of @ellis.eu, DFG #EmmyNoether Fellow, PhD @ETH Computer Vision & Deep Learning

PhD Candidate @UvA_Amsterdam @QUvALab @ELLISforEurope

PhD candidate at UvA in continuous signal modelling, geometric deep learning and dynamics.

Research Scientist GoogleDeepMind. Working on large-scale pretraining at Gemini. https://phlippe.github.io/

Deep Learning PhD student @ University of Amsterdam and The Netherlands Cancer Institute. Loving real-world applications, physics, 3D understanding and medical imaging.

Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.

Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io

Postdoc @TUeindhoven

Promoting research excellence and advancing breakthroughs in AI The Bluesky account of the ELLIS unit Amsterdam. For more information, visit our website: https://ivi.fnwi.uva.nl/ellis/

PhD candidate at UvA on video understanding and film

Learning in non-Euclidean spaces | ELLIS PhD student @ VIS Lab, University of Amsterdam | Board Member @ WiCVWorkshop | Open to internships for spring/summer 2025.

Computer scientist at SRI. Working on AI for remote sensing. Mostly here for AI news.

AI researcher. CTO at HANCE, Associate Professor at NTNU. Compression, generative, audio, time series

Msc AI @ University of Amsterdam. Love robots, dogs, geometric ML and ice hockey.

PhD candidate @ UvA 🇳🇱, ELLIS 🇪🇺 | {video, neuro, cognitive}-AI Neural networks 🤖 and brains 🧠 watching videos 🔗 https://sites.google.com/view/csartzetaki/

PhD student at the University of Amsterdam | ex-intern at Microsoft Research and Samsung AI Research | Cohere For AI Community Researcher

PhD student in Machine Learning and Causality @ University of Warwick | Enrichment student @ The Alan Turing Institute | These days thinking about Causal Abstractions, Optimal Transport, Information Theory, and Emergence. Website: yfelekis.github.io

Associate Professor & Co-Founder - Dynamical Deep Learning

Postdoctoral researcher @vuamsterdam.bsky.social AI for climate | Graph Neural Networks | Geometric Deep Learning | Neural Fields | Spatiotemporal Forecasting mkofinas.github.io

PhD student @ UvA

NeurIPS workshop and digital community | 🌐 geometry, algebra, topology + 🤖 deep learning + 🧠 neuroscience | Join us on slack! http://tinyurl.com/nr-slack Visit our website: https://www.neurreps.org/

Full prof at Saarland University & part of the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇩🇪🇳🇱 #UAI2026 general chair https://saramagliacane.github.io/

Associate Professor in Computer Science @UniVerona Member of @ellis.eu Computer Vision & Social and Affective Computing & Machine and Deep Learning

Research Scientist @ IBM Research. Postdoc @ Berkeley AI. PhD @ Tel Aviv University. Working on Compositionality, Multimodal Foundation Models, and Structured Physical Intelligence. 🔗 https://roeiherz.github.io/ 📍Bay area 🇺🇲