Dilyara Bareeva

PhD at BIFOLD, TU-Berlin • Vulnerability Discovery & Graph-based Machine Learning • 🎹🎸

Explainable AI research from the machine learning group of Prof. Klaus-Robert Müller at @tuberlin.bsky.social & @bifold.berlin

Postdoc at Technical University of Denmark working on ExplainableAI.

PhD student explainable AI @ ML Group TU Berlin, BIFOLD

PhD student at TU Berlin & @bifold.berlin I am interested in Machine Learning, Explainable AI (XAI), and Optimal Transport

PhD Student @ ML Group TU Berlin, BIFOLD

interests: software, neuroscience, causality, philosophy | ex: salk institute, u of washington, MIT | djbutler.github.io

Head of XAI research at Fraunhofer HHI Google Scholar: https://scholar.google.de/citations?user=wpLQuroAAAAJ

Research Scientist at Apple Machine Learning Research. Previously ServiceNow and Element AI in Montréal.

I run AI Plans, an AI Safety lab focused on solving AI Alignment before 2029. For several weeks I used a stone for a pillow. I once spent a quarter of my paycheck on cheese. Ping me! DMs not working atm due to totalitarian UK law :( SurpassAI

PhD student @ Fraunhofer HHI. I work on interpretability in NLP

Postdoc at Boston University. Posts do not represent the views of my employer—only my own.

Amateur Writer & Ethical AI Advocate Professional Marketing & Event Coordinator Avid Baker, Homesteader & Forager 🌼

PostDoc at the Medical University of Innsbruck in the Digital Cardiology Lab. Prev Uni of Oxford DPhil.

PhD Student | Works on Explainable AI | https://donatellagenovese.github.io/

PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR

http://www.julian-rodemann.de | PhD student in statistics @LMU_Muenchen | currently @HarvardStats

Phd Student - Explainable AI for Mobile Networks

PhD student at the University of Cape Town, working on text generation for low-resource, morphologically complex languages. https://francois-meyer.github.io/ Cape Town, South Africa

Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU https://emerge-lab.github.io https://www.admonymous.co/eugenevinitsky

Was a PL->ML researcher, now leading engineering at Bardeen / GetWIQ.ai . EU native, US currently. Opinions are a weighted average of everyone around me (the weights are mine). Also @gcampax@mastodon.social. he/him

AI, philosophy, spirituality Head of interpretability research at EleutherAI, but posts are my own views, not Eleuther’s.

PhD @bouldernlp.bsky.social NLP, computational social science, sociolinguistics

Assistant professor at CLTL Vu Amsterdam, #NLProc, interested in language model interpretability, stereotyping, bias, and implicit expressions of perspectives.

Explainable/Interpretable AI researchers and enthusiasts - DM to join the XAI Slack! Blue Sky and Slack maintained by Nick Kroeger

Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar

Working on AI gov. Past: Technology and Security Policy @ RAND re: AI compute, telemetry database lead & 1st stage landing software @ SpaceX; AWS; Google.

We are a joint partnership of University of Tübingen and Max Planck Institute for Intelligent Systems. We aim at developing robust learning systems and societally responsible AI. https://tuebingen.ai/imprint https://tuebingen.ai/privacy-policy#c1104

Official Bluesky Account of #TUBerlin. 🚀 We’ve got the brains for the future. For the benefit of society. 📰 News: https://www.tu.berlin/en/news 🔑 Data Privacy: https://www.tu.berlin/en/communication/news/social-media/data-privacy-policy-for-social-medi

PhD student at Cambridge University. Causality & language models. Passionate musician, professional debugger. pietrolesci.github.io

PhD Student at the Max Planck Institute for Informatics @cvml.mpi-inf.mpg.de @maxplanck.de | Explainable AI, Computer Vision, Neuroexplicit Models Web: sukrutrao.github.io

Senior Lecturer and Researcher @LMU_Muenchen working on #ExplainableAI / #interpretableML and #OpenML

LLMs, AI, Psychology and Speaking - Seeking to infuse technology with empathy. That's why I founded www.neuroflash.com. An AI platform driving brand-aligned marketing, and helping people connect and understand each other's perspectives.

President of Signal, Chief Advisor to AI Now Institute

PhD candidate for Interpretable AI @ Fraunhofer HHI Berlin

Pushing the boundaries of AI in Explainabability, Efficiency and Application - leading the industry with state-of-the-art methods like LRP, CRP, SpRAy and PCX. ➡ https://www.hhi.fraunhofer.de/en/departments/ai.html Branche

PhD student @Yale • Applied Scientist @AWS AI • Automated Reasoning • Neuro-Symbolic AI • Alignment • Security & Privacy • Views my own • https://ferhat.ai

I read a lot of research. Currently reading: https://dmarx.github.io/papers-feed/ Statistical Learning Information Theory Ontic Structural Realism Morality As Cooperation Epistemic Justice YIMBY, UBI Research MLE, CRWV Frmr FireFighter

PhD student @LIG | Causal abstraction, interpretability & LLMs

Architect | OSPO + AI @ Volvo Cars (ex Sony). Opinions my own. He/him (cis). 🐘: @jyz@mastodon.social ex-🐦: @jovzoran

Ph.D. candidate @ UMD CS Clip lab | ex Intern @ Meta FAIR & Microsoft | Multilingual and Multimodal NLP. Machine Translation and Speech Translation. https://h-j-han.github.io/

Dr./PhD I research AI and digital empowerment Visiting Faculty Researcher @Google affiliate MINT Lab @sethlazar.org www.robertafischli.com

Lecturer (Asst. Prof.) in meteorology and math. & stats | Data assimilation, climate, ML, applied dynamical systems, predictability, inverse problems, climate politics She/her 🏳️‍⚧️ https://eviatarbach.com

Randomly transitioning between information theory, ML, privacy, statistics, and other destinations. Not using \mathbb in a logo.

PhD Student at University of Surrey | Robustness in Machine learning models, Out of Distribution Generalisation | https://kadarsh22.github.io/

ML for remote sensing @Mila_Quebec * UdeM x McGill CS alum Interests: Responsible ML for climate & societal impacts, STS, FATE, AI Ethics & Safety prev: SSofCS lab 📍🇨🇦 Montreal (allegedly) TW: @XMichellelinX https://mchll-ln.github.io/

Tech Educator Dev things @github, yaadie 🇯🇲 I shine brighter on video 📹 ✨️ blog: https://www.itsthatlady.dev/

Chilean roboticist • Research Associate at the School of Informatics, University of Edinburgh • Prev: UOXF, ETHZ, UChile • Robot perception, navigation, and autonomy 🌐 http://mmattamala.github.io

Speech | XAI | Fairness in AI PhD student @fbk-mt.bsky.social

Biologist by training 🐝 🪲| meDIC UK Tübingen | Digitalisation & Digital Health 🏥 |Medizininformatik | Epigenetics 🧬| Australia 🧑‍🎓 💛 | Mom of two 👶

Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).

Group Leader - AI and data infrastructure for science at UChicago/Argonne/Globus - UofIllinois alum. materials, chemistry, physics. Opinions are my own.🤖🔬

Assistant Professor and Director of Critical ML@ WaterlooENG | Postdoc @ CS USCViterbi | PhD @ UMN | Representation Learning | AI for Manufacturing & Ops | AI for Health | Theory-guided ML for the Real-World |Views Personal | https://sirisharambhatla.com/

digital ethicist leading #responsibleAI and emerging tech risk work at BMO // 🇨🇦🇬🇧 AI • quantum • data // oxford • university of toronto // video game enthusiast all views my own

Lecturer in AI, Government & Policy at the OII (University of Oxford) | Author of "The Materiality of AI" (2027, Bristol University Press) | Associate Editor at Big Data & Society | Investigating algorithmic accountability and environmental impacts

Professor of Open Science at Royal Holloway, University of London. He/Him/Hugh. Co-chair of CODATA-RDA schools. Dad. Irish agus ó Chiarraí. More details at orcid.org/0000-0003-1374-6015. Also at @HughShanahan@mastodon.ie I am very much under renovation.

Microsoft , Applied Scientist. Interested in ML, Optimization and theoretical computer science. Want to pick up some good hobbies.

Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.

Researcher & faculty member @DPKM dedicated to the field of AI, with the focus on knowledge technologies (knowledge graphs, semweb, RAG) & their use in e-gov, skills matching, research ecosystem, digital humanities and education. Partner @km-a.bsky.social.

Computer Science PhD Student @ Stanford | Geopolitics & Technology Fellow @ Harvard Kennedy School/Belfer | Vice Chair EU AI Code of Practice | Views are my own

CS PhD @Harvard • Pre-doc @GoogleDeepMind • Anything `science', ~cosmos, and Oxford commas

PhD student in Interpretable Machine Learning at @tuberlin.bsky.social & @bifold.berlin https://web.ml.tu-berlin.de/author/laura-kopf/

PhD student in NLP at Cambridge | ELLIS PhD student https://lucasresck.github.io/

Researcher of Knowledge Representation and Reasoning, passionate about logic. Mexican living in Austria raisings three wonderfully multicultural, multilingual kids 🇲🇽🇱🇹🇦🇹🇸🇪🇪🇸 Slava Ukraini 🇺🇦

Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/

• Postdoc, Dept of Neurosurgery, UTHealth • Compositionality in neural and artificial systems Website: https://elliot-murphy.com/

🚀 Nation of Execution Engineered for Wealth. Wired for Sovereignty. ⚡ Rewire with AI ♟️ Build Inside the Arenas 🔗 wealthconglomerate.com — our only official hub ⚠️ This is my only profile ❌ “thewealthconglomerate.com” & other clones = not us

XAI PhD Student & Entrepreneur

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/

We are sqIRL(squirrel), the Interpretable Representation Learning Lab based at IDLab - University of Antwerp & imec. Research Areas: #RepresentationLearning, #Interpretability, #explainability #ML #AI #XAI #mechinterp Website: https://sqirllab.github.io/

PhD student in NLP at Sapienza | Prev: Apple MLR, @colt-upf.bsky.social , HF Bigscience, PiSchool, HumanCentricArt #NLProc www.santilli.xyz

CS @ TUM | relAI MSc Fellow

Reader in Computer Vision and Machine Learning @ School of Informatics, University of Edinburgh. https://homepages.inf.ed.ac.uk/omacaod

NLP PhD @ Cambridge Language Technology Lab paulsbitsandbytes.com

🔺 DigitalNomad, AI XR Research, Marketing, Educational Projects, Consultant, Prof.Dr. 🔻 http://mediamorphos.com 🌍 (re)tweet=inform,≠endorse

Visting PhD student @ EURECOM, Sophia Antipolis, France | Ph.D. student in #TrustworthyAI @ Politecnico di Torino, Turin, Italy | Currently working on #Robustness in #MedicalAI | Previously working on #Concept-based #ExplainableAI #XAI

Undergraduate | Interested in AI & Mechanistic Interpretability

PhD in progress - XAI and ML for coastal monitoring 🌊 My content: linktr.ee/conorosullyds

PhD Student @UWCSE. Formerly @MSFTResearch

https://huggingface.co/KnutJaegersberg

PhD student at MIT. Working on mechanistic interpretability and AI safety.

Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com

Full Time: Prof @ University of Washington Intrusion, Inclusion, and Dilution FTW

Current: Researcher @ Denso IT lab (Tokyo). Prev: PhD @UPC, Postdoc @ NII

🔗 https://linktr.ee/junrushao

Software @ Apple AIML, previously Hugging Face 💛 Svelte, FOSS, 3D printing, DIY electronics & cooking nsarrazin.com

He teaches information science at Cornell. http://mimno.infosci.cornell.edu

Lecturer (Assistant Professor) at Royal Holloway, University of London ML and Computational Neuroscience 🧠🇬🇧🇩🇪🇦🇹🇺🇸🇮🇳 Mastodon: @anandsubramoney@sigmoid.social https://anandsubramoney.com