DOI,IST REx ID,Research Group,Title of publication
null,14958,FrLo,A sparsity principle for partially observable causal representation learning
10.48550/arXiv.2310.14246,14961,FrLo,Shortcuts for causal discovery of nonlinear models by score matching
10.48550/arXiv.2309.09858,14962,FrLo,Unsupervised open-vocabulary object localization in videos
10.48550/arXiv.2309.00233,14963,FrLo,Object-centric multiple object tracking
10.1002/idm2.12056,14985,MaIb,"Lattice expansion enables interstitial doping to achieve a high average ZT in n‐type PbS"
10.14722/ndss.2023.24545,14989,ElKo,Parakeet: Practical key transparency for end-to-end eEncrypted messaging
10.5281/ZENODO.7548214,14990,KrCh,Artefact for: Correct Approximation of Stationary Distributions
10.5281/ZENODO.7757041,14991,CaMu,Data-assessing memory in convection schemes using idealized tests
10.1007/978-3-031-22340-2_3,14992,RoSe,Universal Functionals in Density Functional Theory
null,14993,TiVo,A framework for grassroots research collaboration in machine learning and global health
10.5281/ZENODO.7877790,14994,ToHe,A flexible toolchain for symbolic rabin games under fair and stochastic uncertainties
10.5281/ZENODO.7877757,14995,DaAl,Lincheck: A practical framework for testing concurrent data structures on JVM
null,15023,"ToHe,KrCh",Compositional policy learning in stochastic control systems with formal guarantees
null,15027,AnSa,aggregation_data
10.5281/ZENODO.8191723,15035,ToHe,Monitoring hyperproperties with prefix transducers
10.48550/ARXIV.2311.06103,15039,"GradSch,ChLa",1-Lipschitz neural networks are more expressive with N-activations
10.4007/annals.2023.197.3.3,8682,TiBr,The Hasse principle for random Fano hypersurfaces
10.1093/imrn/rnac048,9034,TiBr,Integral points of bounded height on a log Fano threefold
10.1007/s10711-023-00862-3,9651,UlWa,Divergence of separated nets with respect to displacement equivalence
10.1007/s11856-022-2448-6,9652,UlWa,Highly irregular separated nets