DOI,IST REx ID,Research Group,Title of publication
10.15479/AT-ISTA-21854,21854,"GradSch,DaAl",On the utility and effects of efficiency in artificial neural networks
10.48550/arXiv.2601.23153,21859,"GradSch,DaAl",Behemoth: Benchmarking unlearning in LLMs using fully synthetic data
10.15479/AT-ISTA-21957,21957,"GradSch,VlKo",Overcoming degeneracy and singularity : Techniques for semidefinite programs and homotopy continuation endgames
10.48550/arXiv.2502.06560,21858,"GradSch,DaAl",Position: It's time to act on the risk of efficient personalized text generation
10.4230/LIPIcs.SoCG.2025.71,20006,HeEd,Banana trees for the persistence in time series experimentally
null,18121,DaAl,SPADE: Sparsity-guided debugging for deep neural networks
10.15479/at:ista:17465,17465,"GradSch,DaAl,MaMo",High-dimensional limits in artificial neural networks
10.1109/cvpr52729.2023.02334,14771,"DaAl,ChLa",Bias in pruned vision models: In-depth analysis and countermeasures
10.1109/cvpr52688.2022.01195,12299,"DaAl,ChLa",How well do sparse ImageNet models transfer?
null,12495,ChLa,FLEA: Provably robust fair multisource learning from unreliable training data