Explainable AI
@XAI_Research
Followers
2K
Following
616
Media
14
Statuses
1K
Moved to 🦋! Explainable/Interpretable AI researchers and enthusiasts - DM to join the XAI Slack! Twitter and Slack maintained by @NickKroeger1
Joined March 2022
There's a new XAI Slack! . Connect with XAI/IML researchers and enthusiasts from around the world. Discuss interpretability methods, get help on challenging problems, and meet experts in your field! DM to join 🥳.
21
11
48
RT @Suuraj: Our Theory of Interpretable AI ( will soon celebrate its one-year anniversary! 🥳. As we step into our s….
tverven.github.io
The Theory of Interpretable AI Seminar is an international online seminar about the theoretical foundations of interpretable and explainable AI.
0
4
0
RT @ArchikiPrasad: 🚨 Excited to share: "Learning to Generate Unit Tests for Automated Debugging" 🚨.which introduces ✨UTGen and UTDebug✨ for….
0
62
0
RT @hima_lakkaraju: Super excited to share our latest preprint that unifies multiple areas within explainable AI that have been evolving so….
0
17
0
RT @gigilopardo: Hot off the press: my PhD thesis "Foundations of machine learning interpretability" is officially published! Enjoy it at….
theses.hal.science
The rising use of complex Machine Learning (ML) models, especially in critical applications, has highlighted the urgent need for interpretability methods. Despite the variety of solutions proposed to...
0
3
0
Reminder we have moved to 🦋 .Stay up to date with the latest XAI research!.
1
1
12
RT @_cagarwal: Exciting opportunity at the intersection of climate science and XAI to work on groundbreaking research in attributing extrem….
0
7
0
We have moved to 🦋 bluesky! Please follow over there @ XAI-Research.
0
2
3
RT @miv_cvpr2025: 🔍 Curious about what's really happening inside vision models?. Join us at the First Workshop on Mechanistic Interpretabil….
0
13
0
RT @rgilman33: The later features in DINO-v2 are more abstract and semantically meaningful than I'd expected from the training objectives.….
0
62
0
RT @apartresearch: This week's Apart News brings you an *exclusive* interview with interpretability insider @myra_deng of @GoodfireAI & rev….
0
4
0
RT @giangnguyen2412: @dylanjsam Hi Dylan, it reminds me of our paper where we also train a model (model 2) on the output of another black-b….
openreview.net
Nearest neighbors (NN) are traditionally used to compute final decisions, e.g., in Support Vector Machines or k-NN classifiers, and to provide users with explanations for the model's decision. In...
0
1
0
RT @tverven: In case you missed it: here is the recording of @YishayMansour's talk about the ability of decision trees to approximate conce….
tverven.github.io
The Theory of Interpretable AI Seminar is an international online seminar about the theoretical foundations of interpretable and explainable AI.
0
4
0
RT @rohanpaul_ai: LLMs are all circuits and patterns. Nice Paper for a long weekend read - "A Primer on the Inner Workings of Transformer-….
0
48
0
RT @ML_Theorist: This Thursday (in 3 days), @YishayMansour will discuss interpretable approximations — learning with interpretable models.….
tverven.github.io
The Theory of Interpretable AI Seminar is an international online seminar about the theoretical foundations of interpretable and explainable AI.
0
3
0
RT @GoodfireAI: We're open-sourcing Sparse Autoencoders (SAEs) for Llama 3.3 70B and Llama 3.1 8B! These are, to the best of our knowledge,….
0
122
0
RT @saprmarks: What can AI researchers do *today* that AI developers will find useful for ensuring the safety of future advanced AI systems….
0
67
0
RT @NielKlug: ACL Time @ Bangkok 🇹🇭. Our GNNavi work will be presented in the poster session at 12:30 on Aug. 14 (Wed.). Welcome to drop by….
0
7
0