UniStuttgartAI
@unistuttgartai.bsky.social
Official Bluesky account of the Institute for Artificial Intelligence, University of Stuttgart.
The aim of the newly founded institute is to research fundamental questions about AI, to reflect on the benefits for society and to promote the transfer of AI.
The aim of the newly founded institute is to research fundamental questions about AI, to reflect on the benefits for society and to promote the transfer of AI.
Pinned
🚀 We’re on Bluesky! 🚀
We are the AI Institute at the University of Stuttgart—researching fundamental questions about AI, reflecting its benefits for society, and promoting the transfer of AI applications to business and society.
Follow us for insights, updates, and discussions on the future of AI!
We are the AI Institute at the University of Stuttgart—researching fundamental questions about AI, reflecting its benefits for society, and promoting the transfer of AI applications to business and society.
Follow us for insights, updates, and discussions on the future of AI!
Reposted by UniStuttgartAI
🌊 Had an amazing time at NeSy 2025 @nesyconf.org in Santa Cruz! Very well-organized conference, great talks, inspiring discussion and of course enjoying the beautiful beach and Bay Area vibes. 🏖️✨
#NeSy2025 #neurosymbolicAI #SantaCruz
#NeSy2025 #neurosymbolicAI #SantaCruz
September 11, 2025 at 7:00 AM
🌊 Had an amazing time at NeSy 2025 @nesyconf.org in Santa Cruz! Very well-organized conference, great talks, inspiring discussion and of course enjoying the beautiful beach and Bay Area vibes. 🏖️✨
#NeSy2025 #neurosymbolicAI #SantaCruz
#NeSy2025 #neurosymbolicAI #SantaCruz
🚀 New accepted at ECAI 2025!
Researchers from AC at the KI Institute will present “Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning” - a new temporal graph neural network design that decouples spatial & temporal edges for better long-range reasoning.
#ECAI2025
Researchers from AC at the KI Institute will present “Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning” - a new temporal graph neural network design that decouples spatial & temporal edges for better long-range reasoning.
#ECAI2025
August 12, 2025 at 8:52 AM
🚀 New accepted at ECAI 2025!
Researchers from AC at the KI Institute will present “Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning” - a new temporal graph neural network design that decouples spatial & temporal edges for better long-range reasoning.
#ECAI2025
Researchers from AC at the KI Institute will present “Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning” - a new temporal graph neural network design that decouples spatial & temporal edges for better long-range reasoning.
#ECAI2025
🎉 Researchers from AC @ KI Institute will present two AI papers tackling real-world challenges:
🌐 "Making the Web More Inclusive: Enter AccessGuru" (ASSETS 2025).
🏭 "MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning" (ICCV 2025).
🌐 "Making the Web More Inclusive: Enter AccessGuru" (ASSETS 2025).
🏭 "MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning" (ICCV 2025).
August 7, 2025 at 11:06 AM
🎉 Researchers from AC @ KI Institute will present two AI papers tackling real-world challenges:
🌐 "Making the Web More Inclusive: Enter AccessGuru" (ASSETS 2025).
🏭 "MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning" (ICCV 2025).
🌐 "Making the Web More Inclusive: Enter AccessGuru" (ASSETS 2025).
🏭 "MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning" (ICCV 2025).
Reposted by UniStuttgartAI
Yuqicheng Zhu (@yuqichengzhu.bsky.social) presented our paper, Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings, at #acl2025. This paper studies a key question for the reliability of applications using knowledge graph embeddings […]
[Original post on mstdn.degu.cl]
[Original post on mstdn.degu.cl]
August 2, 2025 at 8:00 AM
Yuqicheng Zhu (@yuqichengzhu.bsky.social) presented our paper, Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings, at #acl2025. This paper studies a key question for the reliability of applications using knowledge graph embeddings […]
[Original post on mstdn.degu.cl]
[Original post on mstdn.degu.cl]
Reposted by UniStuttgartAI
Want to turn your state-of-the-art diffusion models into ultra-fast few-step generators? 🚀
Learn how to optimize your time discretization strategy—in just ~10 minutes! ⏳✨
Check out how it's done in our Oral paper at ICLR 2025 👇
Learn how to optimize your time discretization strategy—in just ~10 minutes! ⏳✨
Check out how it's done in our Oral paper at ICLR 2025 👇
🚀 Exciting news! Our paper "Learning to Discretize Diffusion ODEs" has been accepted as an Oral at #ICLR2025! 🎉
[1/n]
We propose LD3, a lightweight framework that learns the optimal time discretization for sampling from pre-trained Diffusion Probabilistic Models (DPMs).
[1/n]
We propose LD3, a lightweight framework that learns the optimal time discretization for sampling from pre-trained Diffusion Probabilistic Models (DPMs).
February 13, 2025 at 8:44 AM
Want to turn your state-of-the-art diffusion models into ultra-fast few-step generators? 🚀
Learn how to optimize your time discretization strategy—in just ~10 minutes! ⏳✨
Check out how it's done in our Oral paper at ICLR 2025 👇
Learn how to optimize your time discretization strategy—in just ~10 minutes! ⏳✨
Check out how it's done in our Oral paper at ICLR 2025 👇
Reposted by UniStuttgartAI
🚨 New Paper Accepted at #NAACL2025 🚨
"Conformalized Answer Set Prediction for Knowledge Graph Embedding"
@yuqichengzhu.bsky.social, Nico Potyka, Jiarong Pan, @boxiong.bsky.social, Yunjie He, Evgeny Kharlamov, @ststaab.bsky.social
✨Check out our paper: arxiv.org/pdf/2408.082...
"Conformalized Answer Set Prediction for Knowledge Graph Embedding"
@yuqichengzhu.bsky.social, Nico Potyka, Jiarong Pan, @boxiong.bsky.social, Yunjie He, Evgeny Kharlamov, @ststaab.bsky.social
✨Check out our paper: arxiv.org/pdf/2408.082...
January 28, 2025 at 12:21 PM
🚨 New Paper Accepted at #NAACL2025 🚨
"Conformalized Answer Set Prediction for Knowledge Graph Embedding"
@yuqichengzhu.bsky.social, Nico Potyka, Jiarong Pan, @boxiong.bsky.social, Yunjie He, Evgeny Kharlamov, @ststaab.bsky.social
✨Check out our paper: arxiv.org/pdf/2408.082...
"Conformalized Answer Set Prediction for Knowledge Graph Embedding"
@yuqichengzhu.bsky.social, Nico Potyka, Jiarong Pan, @boxiong.bsky.social, Yunjie He, Evgeny Kharlamov, @ststaab.bsky.social
✨Check out our paper: arxiv.org/pdf/2408.082...
Reposted by UniStuttgartAI
Read in our recent TMLR paper about our novel notion of Explanation Distributions. Read how we use this to observe Explanation Shifts and read how our approach realizes Unsupervised Model Monitoring while explaining the reasons for model decay
www.ki.uni-stuttgart.de/institute/ne...
www.ki.uni-stuttgart.de/institute/ne...
Unsupervised Model Monitoring through Explanation Shift | News | Feb 10, 2025 | Institute for Artificial Intelligence | University of Stuttgart
TMLR paper introduces novel instrument of explanation distributions
www.ki.uni-stuttgart.de
February 11, 2025 at 8:27 AM
Read in our recent TMLR paper about our novel notion of Explanation Distributions. Read how we use this to observe Explanation Shifts and read how our approach realizes Unsupervised Model Monitoring while explaining the reasons for model decay
www.ki.uni-stuttgart.de/institute/ne...
www.ki.uni-stuttgart.de/institute/ne...
🚀 We’re on Bluesky! 🚀
We are the AI Institute at the University of Stuttgart—researching fundamental questions about AI, reflecting its benefits for society, and promoting the transfer of AI applications to business and society.
Follow us for insights, updates, and discussions on the future of AI!
We are the AI Institute at the University of Stuttgart—researching fundamental questions about AI, reflecting its benefits for society, and promoting the transfer of AI applications to business and society.
Follow us for insights, updates, and discussions on the future of AI!
February 11, 2025 at 8:58 AM
🚀 We’re on Bluesky! 🚀
We are the AI Institute at the University of Stuttgart—researching fundamental questions about AI, reflecting its benefits for society, and promoting the transfer of AI applications to business and society.
Follow us for insights, updates, and discussions on the future of AI!
We are the AI Institute at the University of Stuttgart—researching fundamental questions about AI, reflecting its benefits for society, and promoting the transfer of AI applications to business and society.
Follow us for insights, updates, and discussions on the future of AI!