
Dilyara Bareeva
@di_lya
Explainable AI PhD candidate @FraunhoferHHI @AIFraunhoferHHI
ID: 30680858
https://dilyabareeva.github.io/ 12-04-2009 17:04:46
14 Tweet
55 Followers
104 Following

Dan Ofer (Was @ICML,@Worldcon )
@danofer
#Data scientist, #Researcher, Bioinformatician, Photographer, Geek & Bookworm. PhD @huji #AI @HebrewU @HyadataLab @liniallab
Mr. & Mrs. Smith
@misterbumbastik

Stanislav Fort
@stanislavfort
Building in AI + security | Stanford PhD in AI & Cambridge physics | ex-Anthropic and DeepMind | alignment + progress + growth | 🇺🇸🇨🇿
Amir Rahnama
@amirrahnama_
Ph.D. in eXplainable AI @KTHUniversity (2019-2024). Spotify Research Intern (2021). Born at 348 PPM.
Ben Lerner
@benjamin_lerner
researching LLM interpretability | prev @DoorDash @recursecenter @twosigma @snap
Andreas Madsen
@andreas_madsen
Ph.D. in NLP Interpretability from Mila. Previously, independent researcher + freelancer in ML and Node.js core developer.
Fraunhofer HHI
@fraunhoferhhi
@FraunhoferHHI shapes the digital society of the future: Our research teams develop new standards for information and communication technologies.
Julius Hense
@hense96
PhD Student at @bifoldberlin and @ml_tuberlin. Computational Pathology, XAI, Multimodal ML, Representation Learning.
Ashok Vardhan Makkuva
@ashokvardhaiitb
Postdoctoral researcher @EPFL_en working on explainability and interpretability of LLMs
Sorglos Wie Immer
@sorgloswieimmer
Niño descarado on prem :)
Prof. Dr. Katharina Zweig
@nettwerkerin
Professor at RPTU, leading the algorithmic accountability lab. Co-Founder Trusted AI GmbH. Impressum: trusted-ai.com/Impressum
Moritz Weckbecker
@mweckbecker
ML researcher, mathematician and statistician Currently ML protein classification @ Robert-Koch-Institute Masters @ Oxford, Cambridge | Bachelor @ TU Berlin
Chirag Agarwal
@_cagarwal
Assistant Professor @UVA; PI of Aikyam Lab; Prev - @Harvard, @Adobe @BoschGlobal @thisisUIC ; Increasing the sample size of my thoughts
Xiaosen Zheng @ NeurIPS 2024
@xszheng2020
Research Associate @SeaAIL | PhD Candidate @sgSMU | Interests: Data-Centric AI and AI Safety
Emily Skiles
@emilyskile87493

💻
@daltenwert55059
gods determine what going to be
Dakota Fay
@dakota_fay52218

🧩🧠
@ferminscha36342
Gods determine what you're going to be。
mayukh09
@mayukh091
Brains and Computers @GeorgiaTech past: @Aleph__Alpha, @runwayml
GeraldineEva
@69r7sc3zkwo0h2

Kaitlyn West
@kaitlynwes83368

Yannic Neuhaus
@neuhausyannic
ML PhD student at University of Tübingen
Pratinav Seth @ ICLR 25
@pratinavseth
AI explorer in Explainability & Safety @AryaXAI . Interested in AI for SG in Medical Imagery and Remote Sensing. AAAI UC 23 Scholar. Prev. @ Mila,Bosch,Manipal.
Yupei Du
@yupeidu
Ph.D. student @UniUtrecht, working on #NLProc.
Şule Nur Topgül
@sulenurtopgull
İTÜ Satellite Communications/Remote Sensing Researcher in ForestMap era-learn.eu
Oliver Eberle @eberleoliver.bsky.social
@eberleoliver
Senior Researcher Machine Learning @TUBerlin @bifoldberlin 🇩🇪 Prev: @ipam_ucla | @UCLA | BCCN Interpretability | XAI | ML for Science
Elena Golimblevskaia
@egolimblevskaia
Research Associate & PhD Candidate in Explainable AI | Bridging complex AI models & human understanding @FraunhoferHHI
Understandable Machine Intelligence Lab
@umi_lab_ai
Understandable Machine Intelligence Lab: We bring #explainable #AI to the next level. Part of @LeibnizATB, Ex @TUBerlin, funded by @BMBF_Bund #XAI
Gabriel Nobis
@gabriel__nobis
PhD candidate in Machine Learning @FraunhoferHHI
EricJerry
@ericjerrytom
a student
Berkant Turan
@berkantturan_
PhD Candidate • Machine Learning and Optimization • @TUBerlin and @ZuseInstitute
Harvie Zhang
@harvie_zhang
Co-Founder of HyperEvolAILab
B
@bbbb_bb_b

AI Fraunhofer HHI
@aifraunhoferhhi
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.
Gabriele Sarti
@gsarti_
PhD Student @GroNLP 🐮, core dev of @InseqLib (inseq.org). Interpretability ∩ HCI ∩ #NLProc. Prev: @AmazonScience, @Aindo_AI, @ItaliaNLP_Lab.
Farnoush Rezaei-Jafari
@farnoushrj
ML Ph.D. Candidate @TUBerlin and @bifoldberlin | Explainable AI, Interpretability, Efficient Machine Learning
Jonas Naujoks
@jonasnaujoks
PhD student @ Fraunhofer HHI in Berlin explainable AI, interpretability and Physics-Informed ML
Patrick Kahardipraja
@pkhdipraja
PhD student in Explainable AI @FraunhoferHHI @AIFraunhoferHHI. Interpretability, incremental NLP, and NLU.
Sebastian Lapuschkin
@slapuschkin
Head of #XAI at @FraunhoferHHI
Erfan Hatefi
@erfan_vh
Research Assistant @FraunhoferHHI - Master's Student @TUBerlin - XAI, Interpretability
Program Counter
@program_counter
Obligated to the action and the fruits of the action
Laura Kopf
@lkopf_ml
PhD student in Interpretable Machine Learning @bifoldberlin @TUBerlin
Lenka Tětková
@lenkatetkova
Postdoc @DTU_Compute @CogSys working on #ExplainableAI
KongX
@xqk_design
UX Designer
Stefan Blücher
@sbluecher
PhD @ml_tuberlin and @bifoldberlin Physics graduate • Explainable AI • Kernel learning
Omar Dardour
@omar__dardour

Lorenz Linhardt
@lorenzlinhardt
PhD student in #MachineLearning @TUBerlin. Interested in: #InterpretableML | #XAI | #NeuralNets | #GenerativeArt
Johanna Vielhaben
@jvielhaben
PhD student at Fraunhofer HHI in Berlin, working on eXplainable AI, with a MSc in Physics.
Evgenii Kortukov
@ekortukov
becoming creatively maladjusted (x)ai research at @FraunhoferHHI
Anna Hedström
@anna_hedstroem
ML PhD student @UMI_Lab_AI at @TUBerlin | AI Research Programme @jpmorgan | evaluation-centric interpretability