Lorenz Linhardt
PhD Student at the TU Berlin ML group + BIFOLD
Model robustness/correction 🤖🔧
Understanding representation spaces 🌌✨
@ayakimovich.bsky.social
I am a group leader at Helmholtz in Görlitz, Germany and an Associate Prof of CS at Uni Wroclaw, Poland. My group is working on Machine Learning for Infection and Disease. Personal account and opinions. Website: ayakimovich.github.io / www.casus.science
@mlemanczyk.bsky.social
Visiting Grad Student at Koo Lab (Cold Spring Harbor Laboratory) | PhD Student @renardlab.bsky.social (Hasso-Plattner-Institute) | XAI in Genomics 🧬
@thorbenfrank.bsky.social
PhD Student @ TU Berlin @BIFOLD Berlin | ML for molecular simulation
@anujsharma.bsky.social
brought into #hpc by different forces of nature. stayed for the community
@mikiobraun.com
ML, coding, Berlin, been accused of cryptic sarcasm more than once. @mikiobraun everywhere.
@dgrinwald.bsky.social
@juliushense.bsky.social
PhD Student @ https://bifold.berlin/, TU Berlin. Computational Pathology, XAI, Multimodal ML, Representation Learning. Github: https://github.com/bifold-pathomics
@aziehe.bsky.social
Senior Researcher in machine learning (ML) at TU Berlin and BIFOLD; Alumnus of Humboldt University of Berlin and University of Potsdam, Germany.
@rieck.mlsec.org
Machine Learning and Security, Professor of Computer Science at TU Berlin,
@marvinsextro.de
Machine Learning for Precision Medicine PhD student at BIFOLD & TU Berlin Data Scientist at Aignostics https://marvinsextro.de
@ssnio.bsky.social
PhD student at ML-lab at TU-Berlin doing Neuroscience <-> MachineLearning research
@mersault.bsky.social
Professor at BIFOLD & TU Berlin, research on data engineering for ML. Previously at UvA, NYU, Amazon, Twitter. Opinions are my own. https://deem.berlin
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.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.
@franknoe.bsky.social
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
@tkipf.bsky.social
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more). 📍 San Francisco, CA
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
@bogojeski.bsky.social
Machine learning researcher @ D. E. Shaw Research working on ML for quantum chemistry and drug discovery. Big fan of TTRPGs and bouldering.
@sarahwiegreffe.bsky.social
Research in NLP (mostly LM interpretability & explainability). Incoming assistant prof at UMD CS + CLIP. Current postdoc @ai2.bsky.social & @uwnlp.bsky.social Views my own. sarahwie.github.io
@nsaphra.bsky.social
Waiting on a robot body. All opinions are universal and held by both employers and family. Recruiting students to start my lab! ML/NLP/they/she.
@christophmolnar.bsky.social
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
@adrhill.bsky.social
PhD student at @bifold.berlin, Machine Learning Group, TU Berlin. Automatic Differentiation, Explainable AI and #JuliaLang. Open source person: adrianhill.de/projects
@achterbrain.bsky.social
Neuroscience & AI at University of Oxford and University of Cambridge | Principles of efficient computations + learning in brains, AI, and silicon 🧠 NeuroAI | Gates Cambridge Scholar www.jachterberg.com
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@ethz.ch
Where the future begins. 🚀🔬 One of the world’s leading universities for technology & natural sciences. Posts in both English and German. www.ethz.ch
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
@profdata.bsky.social
Senior research scientist at Los Alamos National Laboratory. Former UCL, UTexas, Alan Turing Institute, Ellis EU. CogSci, AI, Comp Neuro, AI for scientific discovery https://bradlove.org
@cocoscilab.bsky.social
Tom Griffiths' Computational Cognitive Science Lab at Princeton. Studying the computational problems human minds have to solve.
@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/
@phillipisola.bsky.social
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/
@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
@lampinen.bsky.social
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine. lampinen.github.io
@martinhebart.bsky.social
Proud dad, Professor of Computational Cognitive Neuroscience, author of The Decoding Toolbox, founder of http://things-initiative.org our lab 👉 https://hebartlab.com
@saxelab.bsky.social
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
@sarahooker.bsky.social
I lead Cohere For AI. Formerly Research Google Brain. ML Efficiency, LLMs, @trustworthy_ml.
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@sucholutsky.bsky.social
On the faculty job market! Doing ML/DL with small data - Postdoc @PrincetonU Making mining sustainable - VP Research @Stratum.AI Trying to re-democratize AI
@patrickmineault.bsky.social
NeuroAI, vision, open science. NeuroAI researcher at Amaranth Foundation. Previously engineer @ Google, Meta, Mila. Updates from http://neuroai.science