DOI,IST REx ID,Research Group,Title of publication
10.1007/s00521-024-10616-1,12662,ChLa,Generalization in multi-objective machine learning
null,20296,"ChLa,ToHe",Logic gate neural networks are good for verification
10.1109/CVPRW67362.2025.00071,20455,ChLa,Intriguing properties of robust classification
null,20819,"ChLa,MoHe",Differentially private federated k-means clustering with server-side data
10.48550/ARXIV.2505.15579,21207,ChLa,Federated learning with unlabeled clients: Personalization can happen in low dimensions
10.52202/085713-1450,22825,"MaMo,GradSch,ChLa",Neural collapse is globally optimal in deep regularized ResNets and transformers
10.52202/085713-0278,22824,"GradSch,ChLa",Fast rate bounds for multi-task and meta-learning with different sample sizes
10.52202/085713-1924,22828,"GradSch,ChLa",Continual release moment estimation with differential privacy
10.5311/JOSIS.2024.29.295,18856,ChLa,Predicting the geolocation of tweets using transformer models on customized data
null,18875,"GradSch,ChLa",Banded square root matrix factorization for differentially private model training
null,18891,"GradSch,MaMo,ChLa",Neural collapse versus low-rank bias: Is deep neural collapse really optimal?
null,19408,ChLa,Continual learning: Applications and the road forward
null,17411,ChLa,PEFLL: Personalized federated learning by learning to learn
null,18118,ChLa,More flexible PAC-Bayesian meta-learning by learning learning algorithms
10.1109/CVPR52733.2024.02320,17426,"GradSch,ChLa","1-Lipschitz layers compared: Memory, speed, and certifiable robustness"
10.48550/arXiv.2412.04245,18874,"GradSch,ChLa",Intriguing properties of robust classification
10.48550/arXiv.2403.06833,19063,"GradSch,ChLa",Can LLMs separate instructions from data? And what do we even mean by that?
null,12660,ChLa,Cross-client label propagation for transductive and semi-supervised federated learning
null,13053,"GradSch,DaAl,ChLa",CrAM: A Compression-Aware Minimizer
10.1007/978-3-031-40773-4_6,14410,ChLa,"On the implementation of baselines and lightweight conditional model extrapolation (LIMES) under class-prior shift"