Daolang Huang
PhD student at Aalto University 🇫🇮
Probabilistic ML, amortized inference.
See more at huangdaolang.com
@tsarpf.bsky.social
CS/ML PhD research in high-dimensional time-series @helsinki.fi Before: 7y of C++/JS/VR/AR/ML at Varjo, Yle, Reaktor, Automattic ... After dark: synthesizers & 3D gfx
@shubhendu.bsky.social
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare. https://shubhendu-trivedi.org
@kschweig.bsky.social
ELLIS PhD Student @ JKU supervised by Sepp Hochreiter Working on Predictive Uncertainty in ML
@deshwalaryan.bsky.social
Bayesian Optimization and Gaussian Processes University of Minnesota Web: https://aryandeshwal.github.io/
@chengkunli.bsky.social
PhD student, University of Helsinki Working on Bayesian computation https://pipme.github.io/
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=6Qa-wXMAAAAJ&sortby=pubdate
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@silviasellan.bsky.social
Incoming Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@dbindel.bsky.social
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@jameshensman.bsky.social
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@theo-brown.bsky.social
PhD student UCL / UKAEA | Probabilistic ML | Safe control | Nuclear fusion
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@pnkraemer.bsky.social
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making. https://pnkraemer.github.io/
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@maosbot.bsky.social
Parent, spouse, Australian, cyclist, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@austinjtripp.bsky.social
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery) Researcher @valenceai.bsky.social Details: austintripp.ca
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@kontoyiannis.bsky.social
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]
@lucamb.bsky.social
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@ian-goodfellow.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@omeuxeito.bsky.social
Group leader at @cnb-csic.bsky.social. Systems biology, complex systems, and spatiotemporal phenomena in life. All opinions and tweets my own, personal responsibility. Podcast (Spanish): @lavacaesferica.bsky.social ORCID: 0000-0001-6214-4083
@konakoder.bsky.social
ML for Earth (Currently: Low K-Shot Animal Re-Identification). Former Microsoft Azure ML, Xamarin, Gemini Observatory. Once magazines: Editor in Chief of AI Expert, Software Development. Disdained by Bill Gates. Also: DnD, SCUBA, Hawaii.
@wwydmanski.bsky.social
PhD candidate @ GMUM UJ. Working on tabular DL and domain-specific IR. CTO of Gaius-Lex, a conversational search engine for lawyers
@mattivihola.bsky.social
Professor of Statistics, University of Jyväskylä. Computational statistics, applied probability, Monte Carlo methods, Bayesian inference. https://iki.fi/mvihola/
@izzycw.bsky.social
PhD Student at UC San Diego | LLM Agents, Reinforcement Learning, Human-AI Collaboration, Multi-Agent Systems
@randyneu.bsky.social
Milwaukee, Wisconsin clean air, clean water, nature Cloud (AWS) architecture / "DevOps" / security things Currently working to bring AI to the edge of the power grid
@kamalasaurus.com
Former engineer • Ph.D. student in Biology interested in structural evolution of plant resistance proteins, pathogen effectors, and the generative design of proteins • co-advised by https://bergelsonlab.org and https://huanglab.rbind.io • Art enthusiast
@jvallikivi.bsky.social
@pranav-mahajan.bsky.social
PhD candidate at University of Oxford. Engineer and a computational neuroscientist thinking about pain and safe AI. (Views are my own; he/his) https://www.pranavmahajan.info/
@spmontecarlo.bsky.social
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
@rmcantin.bsky.social
Prof in System Eng. Researcher in Machine Learning, Robotics and Computer Vision at @unizar (@DIIS_UZ, @I3Aunizar). @ELLISforEurope member. https://webdiis.unizar.es/~rmcantin/
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@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
@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
@elseml.bsky.social
💡 PhD candidate @ Heidelberg University. 🌱 AI for science - simulation-based inference, robust machine learning & cognitive modeling.
@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.