DOI,IST REx ID,Research Group,Title of publication
10.1007/978-3-031-44267-4_9,14076,ToHe,Monitoring hyperproperties with prefix transducers
10.1093/g3journal/jkad121,14077,"BeVi,NiBa,GradSch",Sex-specific estimation of cis and trans regulation of gene expression in heads and gonads of Drosophila melanogaster
10.1016/j.ceb.2023.102217,14080,CaHe,"Stretching the limits of extracellular signal-related kinase (ERK) signaling — Cell mechanosensing to ERK activation"
10.1242/jcs.260668,14082,"CaHe,EvBe",ZnUMBA - a live imaging method to detect local barrier breaches
10.4230/LIPIcs.ICALP.2023.99,14083,MaMo,Zero-rate thresholds and new capacity bounds for list-decoding and list-recovery
10.4230/LIPIcs.ICALP.2023.72,14084,VlKo,Parameter estimation for Gibbs distributions
10.4230/LIPIcs.ICALP.2023.69,14085,MoHe,Efficient data structures for incremental exact and approximate maximum flow
10.4230/LIPIcs.ICALP.2023.74,14086,MoHe,Faster submodular maximization for several classes of matroids
10.1109/wacv56688.2023.00278,14105,FrLo,TeST: Test-time Self-Training under distribution shift
10.1007/s11040-023-09460-x,14192,RoSe,"On the global minimum of the energy–momentum relation for the polaron"
10.48550/arXiv.2306.00600,14207,FrLo,Rotating features for object discovery
null,14208,FrLo,Benign overfitting in deep neural networks under lazy training
10.48550/arXiv.2304.10253,14209,FrLo,A data augmentation perspective on diffusion models and retrieval
10.48550/arXiv.2304.07939,14210,FrLo,Leveraging sparse and shared feature activations for disentangled representation learning
null,14211,FrLo,Causal discovery with score matching on additive models with arbitrary noise
null,14212,FrLo,Scalable causal discovery with score matching
null,14214,FrLo,Causal triplet: An open challenge for intervention-centric causal representation learning
null,14217,FrLo,Relative representations enable zero-shot latent space communication
null,14218,FrLo,Bridging the gap to real-world object-centric learning
null,14219,FrLo,Unsupervised semantic segmentation with self-supervised object-centric representations