Assistant Prof in Prob ML @ KTH 🇸🇪
WASP Fellow & ELLIS Member
Ex: Aalto Uni 🇫🇮, TU Graz 🇦🇹, originally 🇩🇪.
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https://trappmartin.github.io/
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Reliable ML | UQ | Bayesian DL | tractability & PCs
evil mad scientist
{ he, him }
vocation: entity resolution, knowledge graphs, AI apps @ Senzing
location: coastal redwoods /|\
xocation: https://derwen.ai/paco
more neanderthal than most reading this
remarks are personal, don't reflect employer's views
CS PhD student at UT Austin in #NLP
Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models!
Other interests: math, philosophy, cinema
https://www.juandiego-rodriguez.com/
DPhil student in Computer Science at University of Oxford
🔗 https://mihaela-stoian.github.io
Full professor at University of Oviedo, Spain
Main researcher of WESO Lab (WEb Semantics research group)
Senior Research Engineer @ Humanoid.
https://mdiabphd.wixsite.com/mdiab
#Robotics #NeuroSymbolicAI #AutomatedReasoning #DecisionMaking #AutonomousSystems #HumanRobotInteraction #DexterousManipulation #HumanoidRobots
Hybrid Human Artificial Intelligence (HHAI) conferences.
Our next edition will be in Pisa, Italy in June 2025!
PhD candidate at AI & ML lab @ TU Darmstadt (he/him). Research on deep learning, representation learning, neuro-symbolic AI, explainable AI, verifiable AI and interactive AI
SEMANTiCS conference is the meeting place for professionals who make semantic computing work, and understand its benefits and know its limitations.
SEMANTiCS 2026, 15-17 Sept 2026, Ghent, Belgium
https://2026-eu.semantics.cc/
Association for Uncertainty in AI.
Upcoming conference: #uai2026 August 17-21 in Amsterdam, Netherlands! 🇳🇱
https://auai.org/uai2026
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
International Conference on Learning Representations https://iclr.cc/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Official Account for the European Conference on Computer Vision (ECCV) #ECCV2026, Malmo 🇸🇪 Hosted by @jbhaurum and @CSProfKGD
Official account for the IEEE/CVF International Conference on Computer Vision. #ICCV2025 Honolulu 🇺🇸 Co-hosted by @natanielruiz @antoninofurnari @yaelvinker @CSProfKGD
The Association for Computational Linguistics (ACL) is a scientific and professional organization for people working on Natural Language Processing/Computational Linguistics.
Hash tags: #NLProc #ACL2026NLP
AI and cognitive science, Founder and CEO (Geometric Intelligence, acquired by Uber). 8 books including Guitar Zero, Rebooting AI and Taming Silicon Valley.
Newsletter (100k subscribers): garymarcus.substack.com
FR/US/GB AI/ML Person, Director of Research at Google DeepMind, Honorary Professor at UCL DARK, ELLIS Fellow. Ex Oxford CS, Meta AI, Cohere.
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
Assistant professor at NUS. Scaling cooperative intelligence & infrastructure for an increasingly automated future. PhD @ MIT ProbComp / CoCoSci. Pronouns: 祂/伊
Abolish the value function!
Associate Professor in Data Science and AI at Chalmers University of Technology. Neuro-symbolic AI, AI for maths, a bit of NLP and stir.
🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
Researcher @Nvidia | PhD from @CopeNLU | Formerly doing magic at @Amazon Alexa AI and @ARM. ML MSc graduate from @UCL. Research is the name of the game. ᓚᘏᗢ
http://osoblanco.github.io
Postdoctoral researcher in creative AI, large language models & computational humor @ KU Leuven
thomaswinters.be
AI and Science. Faculty at U of Edinburgh. Write and think on: http://www.vaishakbelle.org
I'm building neural networks that generate provably correct code, and the software infrastructure for training them.
Recently experimenting with TensorType: https://github.com/bgavran/TensorType
www.brunogavranovic.com
Cognitive scientist seeking to reverse engineer the human cognitive toolkit. Asst Prof of Psychology at Stanford. Lab website: https://cogtoolslab.github.io
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
Professor at Imperial College London and Principal Scientist at Google DeepMind. Posting in a personal capacity. To send me a message please use email.
phd student @ mit researching llm's for programming
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
Assistant Professor / Faculty Fellow @nyudatascience.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io).
elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant
Professor @ucsd & Visiting Academic @AWScloud. Helps people write code they can trust
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him
👉 https://april-tools.github.io
Researching planning, reasoning, and RL in LLMs @ Reflection AI. Previously: Google DeepMind, UC Berkeley, MIT. I post about: AI 🤖, flowers 🌷, parenting 👶, public transit 🚆. She/her.
http://www.jesshamrick.com
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia.
🌐 adrianjav.github.io
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
ML PhD student @ Uni Edinburgh
Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
PhD candidate CLTL VU Amsterdam
Prev. Research Intern Huawei
stefanfs.me
Research in AI/ML at Google DeepMind. Touche-à-tout.
Professor of Computer Science at UT Austin and Visiting Researcher at Google Deepmind, London. Automated Reasoning + Machine Learning + Formal Methods. https://www.cs.utexas.edu/~swarat
Punjabi-Scottish-American husband and father of two, Haskell hacker, cook, cyclist, Lost In Music. ∃🇮🇳 ∧ ∀🇬🇧 ∧ ∃🇪🇺 ∧ ∀🇺🇸 #celiac ex-{Microsoft, Google, Facebook, Xilinx, Glasgow} living in Los Altos, California
http://raintown.org
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
Studying cognition in humans and machines https://scholar.google.com/citations?user=WCmrJoQAAAAJ&hl=en
Research Scientist in AI at Wimmics (Université Côte d'Azur, Inria, CNRS, I3S). Interested in Neurosymbolic AI, Knowledge graphs, Semantic Web, Graph Embedding. Spokesperson of @afiainfo.bsky.social
@piermonn@sigmoid.social
PhD student @ImperialCollege. Research Scientist Intern @Meta prev. @Cohere, @GoogleAI. Interested in generalisable learning and reasoning. She/her
lisaalaz.github.io
Ellis PhD Student at JKU Linz working on Diffusion Samplers and combinatorial optimization
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io
Principal Research Scientist at IBM Research AI in New York. Speech, Formal/Natural Language Processing. Currently LLM post-training, structured SDG and RL. Opinions my own and non stationary.
ramon.astudillo.com
I hate slop and yet I work on generative models
PhD from UT Austin, applied scientist @ AWS
He/him • https://bostromk.net
Computer Science PhD student | AI interpretability | Vision + Language | Cogntive Science. Prev. intern @MicrosoftResearch.
https://martinagvilas.github.io/
Ph.D. Student in Computer Science at the University of Virginia
Researching Responsible Generative AI
Member of the RAISE Group
Personal Website: https://michaelcardei.github.io/
Tell me about challenges, the unbelievable, the human mind and artificial intelligence, thoughts, social life, family life, science and philosophy.
Associate Professor in Computer Science at KAUST. Editor in Chief for the Journal of Biomedical Semantics. Interested in knowledge representation, bioinformatics, neuro-symbolic AI.
Professor of Natural and Artificial Intelligence @Stanford. Safety and alignment @GoogleDeepMind.
Machine learning researcher @Stanford. https://petersen.ai/
PhD student @ KU Leuven | maene.dev | #neurosymbolic learning & #probabilistic reasoning
Assistant professor in Natural Language Processing at the University of Edinburgh and visiting professor at NVIDIA | A Kleene star shines on the hour of our meeting.
Assistant Professor, CS @ NJIT | Probabilistic & Neurosymbolic AI | Explainable AI | Combinatorial Optimization | AI | ML | CV | https://shivvrat.github.io
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Research Scientist @ Mosaic x Databricks. Adaptive Methods for Retrieval, Generation, NLP, AI, LLMs https://mrdrozdov.github.io/
Postdoc in ML/NLP at the University of Edinburgh.
Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs.
https://grv.unargmaxable.ai/
Using #NeurosymbolicAI for challenges in #Biomedicine. PhD student at Uni Edinburgh🦄🏴 (she/hers)
https://laurendelong21.github.io
AI Educator, researcher, author. Professor Emeritus in CS at University of British Columbia. One of the founders of Statistical Relational AI. https://www.cs.ubc.ca/~poole/
Senior Data Scientist/Postdoc at Wellcome Sanger Institute | PhD in Computer Science (CS), University of Helsinki | Masters in Computational Humanities, BTech in CS at IIIT-H | SFF and Books | Chelsea FC
PhD student UC Berkeley AI | MIT '20
shreyaskapur.com
Postdoc @ University of California, Irvine | PhD from CS@UCLA
Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models
kareemahmed.com
Computational Cognitive Science @JhuCogsci researching neurosymbolic methods. Previously wearable engineering @fitbit and @Google.
Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad
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/
Co-founder & CEO, Professor of Computer Graphics, Researcher in Spatial Computing, Accelerating computational medical XR with spatial intelligence
PhD Student in Machine Learning at CMU.
🐦 twitter.com/steph_milani
🌐 stephmilani.github.io
Masters student in Computer Science at UCR
https://sbera7.github.io/
« artificia docuit fames »
📖 deep learning, reasoning
🧪 drug design @Mila_Quebec
🏛️ AI grad @UniTrento
halixness.github.io
Science, AI, Tech. #Neurosymbolic #AI #innovation PhD from Imperial College; MBA from MIT. Professor, researcher, manager, dad. WA, MA, UK, BR.
#probabilistic-ml #circuits #tensor-networks
PhD student @ University of Edinburgh
https://loreloc.github.io/
Assistant Professor at TU Delft, working on program synthesis, probabilistic programming, and neuro-symbolic AI.
https://sebdumancic.github.io/
ml/nlp phding @ usc, currently visiting harvard, scientisting @ startup;
interpretability & training & reasoning
iglee.me
BSc @ University of Edinburgh
Natural Language Processing, LLM Reasonings
Actively seeking for PhD position for 2025 spring/fall✨
researcher. prev: phd @ mit, intern @ apple
https://benlipkin.github.io/
Professor in Artificial Intelligence at KU Leuven and UCLouvain, Belgium.
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
Research Scientist @ Sony AI, PhD Student @ UniTrento,FBK
Neurosymbolic AI, Generative Modeling
https://sbadredd.github.io/
Probabilistic + logical + algebraic reasoning/learning
Assistant prof. @ University of Trento, Marie Skłodowska-Curie fellow
https://paolomorettin.github.io/
Senior assistant prof at University of Trento. I dig Explainable AI, Neuro-Symbolic AI, Interactive ML, Constraints & Circuits.
https://stefanoteso.github.io/ . I "maintain" https://github.com/stefanoteso/awesome-explanatory-supervision .
Research Scientist NLP @ Google DeepMind
https://norakassner.github.io/
Research Scientist at Sony AI, working on AI for Scientific Discovery.
Neurosymbolic Learning and Reasoning.
thiviyansingam.com
AI researcher & teacher at SCAI, ASU. Former President of AAAI & Chair of AAAS Sec T. Here to tweach #AI. YouTube Ch: http://bit.ly/38twrAV Twitter: rao2z