DOI,IST REx ID,Research Group,Title of publication
10.1103/sl79-1xgb,21501,MaSe,"Fragmentation, zero modes, and collective bound states in constrained models"
10.1145/3798129.3800851,22245,MoHe,An improved quality hierarchical congestion approximator in near-linear time
10.1145/3799902.3811225,21921,ChWo,Synchronizing fields with singularities
10.15479/AT-ISTA-22808,22808,"GradSch,ToHe",Monitoring algorithmic fairness in sequential decision making
10.15479/AT-ISTA-22873,22873,"GradSch,CaGo,EdHa",Biological functionality without biochemistry: Designing nanomachines for target behavior
10.48550/arXiv.2606.31620,22893,"CaGo,EdHa,AnSa",Designing bistable nanostructures for target behavior
10.48550/arXiv.2506.14266,22892,"CaGo,EdHa",Controlling energy delivery with bistable nanostructures
null,22894,"GradSch,MaMo",A law of data reconstruction for random features (and beyond)
10.3847/1538-4357/ae80cd,22950,JoMa,Beyond the dot: An LRD-like nucleus at the heart of an IR-bright galaxy and its implications for high-redshift LRDs
10.4230/LIPIcs.CONCUR.2026.22,22921,"ToHe,GradSch",Monitoring discounted sum properties
10.4230/LIPIcs.CONCUR.2026.6,22922,"KrCh,ToHe",A look back at strategy logic
10.1126/sciadv.adz6517,22951,"SaSi,ScienComp,PreCl",Corticosterone-linked microglial activity underpins sexually dimorphic neuroplasticity after ketamine anesthesia
10.1126/sciadv.aed4451,22952,MiLe,Architecting mechanosensitive nanofluidic transport in graphite nanoslits
10.1007/s10884-026-10528-9,22954,VaKa,Birkhoff attractors for dissipative symplectic billiards
10.3934/jmd.2026012,22953,VaKa,Area spectral rigidity for axially symmetric symplectic billiard tables
10.1093/bioadv/vbag182,22957,"PaSc,GradSch","Bioinformatics in Español: Expanding open, diverse, and collaborative science through SEH2Bioinfo"
10.1088/1367-2630/ae8b16,22958,OnHo,Cascaded optomechanical sensing for small signals
10.1093/protein/gzag020,22959,JuRe,Protein engineering: Status report
10.15479/AT-ISTA-21198,21198,"GradSch,ChLa",Data heterogeneity and personalization in federated learning
10.15479/AT-ISTA-21854,21854,"GradSch,DaAl",On the utility and effects of efficiency in artificial neural networks