DOI,IST REx ID,Research Group,Title of publication
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
10.1039/d3sm00316g,14087,GradSch,Spontaneous flows and dynamics of full-integer topological defects in polar active matter
10.1051/0004-6361/202245650,14103,,X-shooting ULLYSES: Massive stars at low metallicity. I. Project description
10.1093/mnras/stad1977,14104,,"Observational predictions for Thorne–Żytkow objects"
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,14216,FrLo,ASIF: Coupled data turns unimodal models to multimodal without training
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
null,14222,FrLo,Unsupervised object learning via common fate
10.1103/PhysRevLett.131.053201,14238,MiLe,Nonadiabatic laser-induced alignment dynamics of molecules on a surface