Top Tweets for #interpretableml
Our lab got two papers accepted at #ECMLPKDD2025 on the topics of #Interpretability for Spiking NNs and self-supervised learning with embedded interpretability. Congrats to Jasper, @behzadikhormuji, & Fabian. #SNN #ML #neuromorphic #xai #interpretableML @IDLabResearch #UAntwerp
And what you would notice in a text from someone with early dementia? Read the paper & let us know what you think matters.
#NLP #LLM #AI #Dementia #CognitiveHealth #ExplainableAI #InterpretableML #AI4Good #Alzheimers
Our #ICLR paper, “Efficient & Accurate Explanation Estimation with Distribution Compression” made the top 5.1% of submissions and was selected as a Spotlight! Congrats to the first author @hbaniecki #xAI #interpretableML
Paper: https://t.co/bd21S0zWpu
🚨 Are you at #INFORMS2024? Don't miss our session on Emerging Trends in Interpretable Machine Learning today at 2:15 PM! 🌟 Our speakers will dive into theoretical and applied aspects of interpretability and model multiplicity.
💡#InterpretableML #TrustworthyAI #Multiplicity
We are looking for a PhD in Interpretable Machine Learning and Explainable AI @LMU_Muenchen.
Apply now at https://t.co/0r2EiV5dz7!
@XAI_Research #PhD #XAI #MachineLearning #Statistics #ExplainableAI #DataScience #InterpretableML
🚀Just published our new paper in @EarthsFutureEiC! 🌍 We propose how #InterpretableML can be more broadly and effectively integrated into geoscientific research, highlighting key do's and don'ts when using IML for process understanding. Check it out: https://t.co/y7H7LWrGsS
#BayesianDeepLearning #InterpretableML #ConceptInterpretation #HumanAICollaboration Achieving the balance between accuracy and interpretability in machine learning models is a notable challenge. Models that are accurate often lack interpretability,
Great news, this year #AIMLAI will be held in conjunction with #ECMLPKDD 2024. Looking forward to meeting you in Vilnius! #xai #interpretableML #explainability #interpretability #ai #ml @ECMLPKDD @IDLabResearch @imecVlaanderen @UAntwerpen
Passionate about diving into the world of Interpretable Machine Learning and Explainable AI for a PhD at @LMU_Muenchen? Apply now! 🎓
@XAI_Research #PhD #XAI #MachineLearning #Statistics #ExplainableAI #DataScience #InterpretableML
https://t.co/06pF0zmKar
Two of my PRs are now merged with PySR: now you can use "min", "max" and "round" operators without any explicit sympy mapping.
PySR is a Python interface to a Julia backend for Symbolic Regression #interpretableML
https://t.co/qoUaHAVOpo
#ICML2023 #BayesDL #InterpretableML Can we train self-interpretable time series models that generate actionable explanations? Come check out our Counterfactual Time Series (CounTS) in the oral session C2 at 3pm~4:30pm, July 27 and poster session 11:00am~1:30pm on July 25, Hall 1.
There have been more than 10,000 downloads of the #AutoScore package from CRAN. Thank you for your support and feedback from the research community. Many clinical applications have been conducted using AutoScore: https://t.co/7Co2AGJ7t2
#AI #Scoring #InterpretableML
We have 2 open #PhD positions where fellows will work with 24/7 recordings of physical activity: one focusing on #InterpretableML and one on the risk of common non-communicable diseases.
Plz share the post in your network & help us find talented students: https://t.co/KWCtuMI5eT
I'm curious how data scientists at small/mid size companies justify using black-box models like DNNs.
How do you convince decision makers? 🧐
#DataScience #ML #AI #InterpretableAI #InterpretableML #ExplainableAI #XAI
🎉 Just joined Twitter! Excited to share my 1st tweet: SOTAI's no-code #InterpretableML platform, Artifice. Harness shape constraints & calibrated models in any industry! 🚀
👉 https://t.co/F3m7cldf7X
#MachineLearning #AI #XAI #InterpretableAI #InterpretableMachineLearning
CALL FOR PAPERS AND ABSTRACTS “Explainable Artificial Intelligence For Unveiling The Brain: From The Black-Box To The Glass-Box” BrainInformatics2023 #explainableAI #explainableML #interpretableML #XAI #ArtificialIntelligence #MachineLearning #neuroscience #neuroimaging #brain
Explainable machine learning for public policy: use cases, gaps, & research directions
@AmareKas, Kit T. Rodolfa, @HemankLamba & @RayidGhani
→ https://t.co/GdRyvntvd0
#ExplainableMachineLearning #MachineLearning #PublicPolicy #ML #ExplainableML #InterpretableML @HeinzCollege
To guarantee fairness in approximating #ShapleyValue, the #AAAI2023 work of @BobbyZhouZijian @michael_xinyi @RachaelSim2 chuan-sheng @bryanklow introduces probably approximately Shapley fairness and a novel approximation. #InterpretableML #DataValuation #FederatedLearning
Ultimately, we hope it contributes to bridging the gap between #InterpretableML and #ORMS. To facilitate future work and experimental reproducibility, all our algorithms and scripts are provided in open source at https://t.co/7PGSvWcUeH.
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