Vignesh Srinivasan
Generative AI, diffusion/flow models at Zalando. Formerly Fraunhofer HHI, TU Berlin.
@bentheegg.bsky.social
Crafting pixels w PhotoRoom after some time in sunny California and happy Copenhagen. Meta (xformers, FairScale, R&D), EyeTribe (acq) Mostly writing around AI
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@nunezanalyzed.bsky.social
Asst. Prof. University of Amsterdam, rock climber, husband, father. Model-based (Mathematical) Cognitive Neuroscientist. I study decision-making, EEG, 🧠, statistical methods, etc. 🇺🇦🇪🇺
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@matthijspals.bsky.social
Using deep learning to study neural dynamics @mackelab.bsky.social
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com
@stefanradev.bsky.social
Assistant Professor at Rensselaer Polytechnic Institute (RPI) Bayesian | Computational guy | Name dropper | Deep learner | Book lover Opinions are my own.
@schumacherlu.bsky.social
Postdoctoral Researcher at University of Basel Interested in Cognitive Modeling | Decision Making | Dynamics in Cognition | Amortized Bayesian Inference | Superstatistics
@yungbayesian.bsky.social
PhD student at TU Berlin, working on generative models and inverse problems he/him
@yugahikida.bsky.social
Doctoral researcher at Aalto University Simulation-based Inference, Probabilistic ML yugahikida.github.io
@stephenrgreen.bsky.social
Black holes, gravitational waves, and AI. UKRI Future Leaders Fellow @ University of Nottingham. https://www.stephenrgreen.com/
@awehwe.bsky.social
ML + Physics + Health at . Exploring the interaction between scientific and ML models.
@lukasheinrich.com
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
@sbi-devs.bsky.social
Community-maintained simulation-based inference (SBI) toolkit in PyTorch: • NPE, NLE & NRE • amortized and sequential inference • wide range of diagnostics Posts written by @deismic.bsky.social & @janboelts.bsky.social. 🔗 https://github.com/sbi-dev/sbi
@rdgao.bsky.social
computational neuroscience, machine learning, occasionally cognitive science | inverting brain circuits towards translational neuroscience. 🌊 www.rdgao.com
@makagan.bsky.social
Physics + Machine Learning Scientist at SLAC National Laboratory at Stanford
@auschulz.bsky.social
PhD student @mackelab.bsky.social - machine learning in (neuro)science. Co-CEO of KI macht Schule gGmbH
@mackelab.bsky.social
We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social. 📍@ml4science.bsky.social, Tübingen, Germany
@janboelts.bsky.social
Researcher at appliedAI Institute for Europe. Working on simulation-based inference and responsible ML
@gmoss13.bsky.social
PhD student at @mackelab.bsky.social - machine learning & geoscience.
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@ryanpkelly.bsky.social
PhD student at QUT in computational Bayesian statistics simulation-based inference | generative modelling | robust ML
@louissharrock.bsky.social
Postdoc in Statistical Machine Learning @ Lancaster Uni. Previously PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational statistics, probabilistic machine learning, optimisation. Website: https://louissharrock.github.io/
@smsharma.bsky.social
Researcher at Anthropic, incoming faculty at BU. Based in SF. Likes cats. smsharma.github.io.
@chris-drovandi.bsky.social
@ppjgoncalves.bsky.social
Computational Neuroscience and Machine Learning. Group Leader at VIB-NERF (https://nerf.be/en#/) and Associate Professor at KU Leuven (https://www.kuleuven.be/english/kuleuven). More details at goncalveslab.sites.vib.be
@davidjwarne.bsky.social
Senior Lecturer in Statistical Data Science at QUT in Mathematics. I do inference in ecology and biology. Stochastic modelling and Bayesian computation. Opinions=mine
@hpesonen.bsky.social
Researcher at Oslo Centre for Biostatistics and Epidemiology. Likelihood-free inference|Statistical modelling|Often Bayesian|Open source software development
@arnauddelaunoy.bsky.social
PhD student working on simulation-based inference under the supervision of @glouppe .
@vstaros.bsky.social
@aishikghosh.bsky.social
Incoming assistant professor of AI in School of Physics @ GT Fundamental Physics ∩ AI AI Policy AI for hypothesis generation, simulation, inference in particle & astro High-dimensional statistics, neural inference, uncertainty quantification
@approxbayesseminar.bsky.social
Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
@bayesflow.org
Amortized Bayesian Workflows in Python. 🎲 Post author sampled from a multinomial distribution, choices ⋅ @marvinschmitt.bsky.social ⋅ @paulbuerkner.com ⋅ @stefanradev.bsky.social 🔗GitHub github.com/bayesflow-org/bayesflow 💬Forum discuss.bayesflow.org
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/