DOI,IST REx ID,Research Group,Title of publication
10.1038/s41467-021-22538-w,8430,MaRo,Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis
10.1038/s41467-021-22725-9,9407,BjHo,Discontinuous epidemic transition due to limited testing
10.1016/j.celrep.2021.109313,9642,SaSi,Microglia enable mature perineuronal nets disassembly upon anesthetic ketamine exposure or 60-Hz light entrainment in the healthy brain
10.1017/fms.2021.38,9550,LaEr,Equipartition principle for Wigner matrices
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
10.1038/s41598-021-95025-3,9905,FyKo,Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains
10.1103/physrevb.104.104205,10067,MaSe,Entanglement transitions from restricted Boltzmann machines
10.1103/physreva.104.062423,10545,MaSe,Duality approach to quantum annealing of the 3-variable exclusive-or satisfiability problem (3-XORSAT)
10.4230/LIPIcs.SoCG.2021.32,9345,HeEd,The density fingerprint of a periodic point set
10.1016/j.neuron.2021.01.020,7553,GaTk,Statistical analysis and optimality of neural systems
10.1007/978-3-030-90456-2_8,10408,KrPi,Grafting key trees: Efficient key management for overlapping groups
10.1002/adma.202106858,10123,"EM-Fac,MaIb","The importance of surface adsorbates in solution‐processed thermoelectric materials: The case of SnSe"
10.1021/jacsau.1c00349,10806,MaIb,Ligand conversion in nanocrystal synthesis: The oxidation of alkylamines to fatty acids by nitrate
10.1021/acsenergylett.0c02448,9118,MaIb,Exploiting the lability of metal halide perovskites for doping semiconductor nanocomposites
10.1126/science.abf1513,8910,"GeKa,Bio",Nontopological zero-bias peaks in full-shell nanowires induced by flux-tunable Andreev states
10.1007/978-3-030-90870-6_33,10414,KrCh,On lexicographic proof rules for probabilistic termination
10.1145/3453483.3454093,9644,KrCh,Proving non-termination by program reversal
null,11458,"GradSch,DaAl",AC/DC: Alternating Compressed/DeCompressed training of deep neural networks