Leander Kurscheidt
ML PhD student @ Uni Edinburgh
Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
@mariawollburg.bsky.social
@jessejdavis.bsky.social
Professor @ KU Leuven researching AI, machine learning, and sports. Co founder of runeasi
@poorvagarg.bsky.social
Working on Probabilistic Programming Languages https://web.cs.ucla.edu/~poorvagarg/
@sholtzen.bsky.social
I like computers. assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
@nsriraam.bsky.social
Professor of CS working in Statistical Relational AI, neurosymbolic AI, graphical models, sequential decision making and healthcare.
@lucderaedt.bsky.social
Professor of AI, DTAI, KU Leuven; Wallenberg Guestprofessor AASS, Örebro University; Director http://Leuven.AI, AAAI and EurAI Fellow, Former PC Chair IJCAI, ICML, ECAI and ECMLPKDD, ERC AdG 2015 and 2023
@ropeharz.bsky.social
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
@fventola.bsky.social
PhD candidate at AI & ML lab @ TU Darmstadt (he/him). Research on deep, flexible, and efficient probabilistic models.
@devendradhami.bsky.social
Pahadi 🇮🇳| Assistant Professor at TU Eindhoven | Causality, Neuro-symbolic AI, Probabilistic Circuits and pretty much all of Machine Learning ;)
@robinmanhaeve.bsky.social
A post-doc researcher at DTAI, KU Leuven. I focus on neurosymbolic AI.
@statwonk.bsky.social
Dad, Partner. Statistician-Econometrician-Engineer. AI Developer. Decision theory. Game theory. #autisticpride #9 at Zapier, first DS
@benjiewang.bsky.social
Postdoc @ UCLA StarAI Lab, PhD in CS from Oxford. Probabilistic ML, Tractable Models, Causality
@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/
@wannesm.bsky.social
@dtai-kuleuven.bsky.social
Declarative Languages and Artificial Intelligence research group at the KU Leuven Computer Science department. https://dtai.cs.kuleuven.be
@federico-errica.bsky.social
Senior Research Scientist at NEC. PhD in CS @ UniPi, Bayesian Deep Learning for Graphs. Trying to do Science 🔍, not SotA 🥇.
@moritzwillig.bsky.social
PhD student at AIML Lab, TU Darmstadt, Germany. Connecting AI & Causality. | Website: https://moritz-willig.de/
@philosotim.bsky.social
researching causality and interactive AI at AIML Lab, TU Darmstadt | also interested in philosophy, logic, physics and vegan baking
@steven-braun.com
@zzhe.bsky.social
Incoming Assist. Prof. @UVA | Faculty fellow @NYU | CS Ph.D @UCLA | Neurosymbolic AI, Probabilistic ML, Constraints, AI4Science | https://zzeng.me/
@lennartpurucker.bsky.social
PhD student sup. by Frank Hutter; researching automated machine learning and foundation models for (small) tabular data! Website: https://ml.informatik.uni-freiburg.de/profile/purucker/
@andreasgeiger.bsky.social
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 🖺
@winfried-ripken.bsky.social
PhD Student @ TU Berlin @BIFOLD working on ML applications for chemistry
@arnabphani.bsky.social
PhD student at TU Berlin | Large-scale Data Systems | PMC member of Apache SystemDS | Past: Sr. SWE @ Teradata Database Profile: https://phaniarnab.github.io/
@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.
@thorbenfrank.bsky.social
PhD Student @ TU Berlin @BIFOLD Berlin | ML for molecular simulation
@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
@farnoushrj.bsky.social
ML Ph.D. Candidate @tuberlin.bsky.social and @bifold.berlin | Explainable AI, Interpretability, Efficient Machine Learning farnoushrj.github.io
@lukasmut.bsky.social
Senior RS in AI for Biotech | Prev. SR and Research Intern at Google DeepMind | PhD in ML and NeuroAI from @tuberlin.bsky.social @bifold.berlin @mpicbs.bsky.social | Representations in 🧠 and 🤖 | #FirstGen 🌈 🌍: https://lukasmut.github.io/
@kirillbykov.bsky.social
PhD student in Interpretable ML @UMI_Lab_AI, @bifoldberlin, @TUBerlin
@lorenzlinhardt.bsky.social
PhD Student at the TU Berlin ML group + BIFOLD Model robustness/correction 🤖🔧 Understanding representation spaces 🌌✨
@lciernik.bsky.social
PhD @ ML Group TU Berlin, BIFOLD, HFA, @ellis.eu | BSc & MSc @ethzurich.bsky.social
@eberleoliver.bsky.social
Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪 Prev at IPAM | UCLA | BCCN Interpretability | XAI | NLP & Humanities | ML for Science
@uweohler.bsky.social
Scientist and music nerd. All things machine learning and genomics for gene regulation. Faculty at Max Delbruck Centrum and Humboldt University Berlin @mdc-berlin.bsky.social http://www.mdc-berlin.de/ohler Baritone at www.byrdland.org
@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
@stefan-grafberger.com
PhD Student at BIFOLD & TU Berlin, researching data management for ML. Previously worked with UvA, Microsoft GSL, Amazon Research, Oracle Labs, and others. https://stefan-grafberger.com
@rieck.mlsec.org
Machine Learning and Security, Professor of Computer Science at TU Berlin,
@pr0me.bsky.social
Firmware Security • Embedded Systems • AI x Infosec • Researcher @binarly • PhD Candidate @TUBerlin • Capturing Flags with ENOFLAG