DOI,IST REx ID,Research Group,Title of publication
null,10670,"GradSch,ToHe",Causal navigation by continuous-time neural networks
null,10671,"GradSch,ToHe",Liquid time-constant networks
10.1137/1.9781611976465.38,10694,"GradSch,KrCh",Infinite-duration all-pay bidding games
10.1101/2021.09.30.462269,10080,"GradSch,JoCs",The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus
10.1007/s11005-021-01358-5,9121,GradSch,The BCS energy gap at low density
10.15479/AT:ISTA:9192,9192,"GradSch,NiBa",Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus
10.15479/AT:ISTA:9323,9323,"GradSch,GeKa","Research data for ""A singlet-triplet hole spin qubit planar Ge"""
10.1016/j.jtbi.2021.110729,9387,GradSch,"Two linked loci under mutation-selection balance and Muller’s ratchet"
10.15479/AT:ISTA:9389,9389,"GradSch,GeKa","Research data for ""Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states"""
null,9403,"GradSch,KrCh",The evolution of strategic ignorance in strategic interaction
null,9592,"GradSch,VlKo",Massively winning configurations in the convex grabbing game on the plane
10.1038/s41593-021-00906-5,6995,"GradSch,SiHi",Identification of neural oscillations and epileptiform changes in human brain organoids
10.1063/5.0053494,9891,"GradSch,RoSe",Floating Wigner crystal and periodic jellium configurations
10.1103/PhysRevLett.126.244502,9558,"GradSch,BjHo",Coarse graining the state space of a turbulent flow using periodic orbits
10.1103/physrevlett.127.060602,9903,"MaSe,GradSch,MiLe",Area-law entangled eigenstates from nullspaces of local Hamiltonians
10.1109/LICS52264.2021.9470547,9356,"GradSch,ToHe",Quantitative and approximate monitoring
null,11458,"GradSch,DaAl",AC/DC: Alternating Compressed/DeCompressed training of deep neural networks
null,10665,"GradSch,ToHe",Scalable verification of quantized neural networks
10.48550/arXiv.2111.03165,10667,"GradSch,ToHe,KrCh",Infinite time horizon safety of Bayesian neural networks
10.1109/ICRA48506.2021.9561036,10666,"GradSch,ToHe",Adversarial training is not ready for robot learning