DOI,IST REx ID,Title of publication
10.3847/1538-4357/ac97e7,13445,Mode mixing and rotational splittings. I. Near-degeneracy effects revisited
10.3847/1538-4357/aca295,13451,A panchromatic study of massive stars in the extremely metal-poor local group dwarf galaxy Leo A
10.1093/mnras/stac2598,13452,"The effects of surface fossil magnetic fields on massive star evolution: IV. Grids of models at Solar, LMC, and SMC metallicities"
10.1038/s41566-022-01050-7,13991,Probing topological phase transitions using high-harmonic generation
10.1126/sciadv.abq2811,13992,Femtosecond photoelectron circular dichroism of chemical reactions
10.2533/chimia.2022.520,13993,Attosecond photoionization dynamics: from molecules over clusters to the liquid phase
10.1103/physrevx.12.011013,13994,Ultrafast renormalization of the on-site Coulomb repulsion in a cuprate superconductor
null,14093, Faster one-sample stochastic conditional gradient method for composite convex minimization
10.1093/mnras/stac2598,14098,"The effects of surface fossil magnetic fields on massive star evolution: IV. Grids of models at solar, LMC, and SMC metallicities"
10.48550/arXiv.2211.07060,14099,Spin-down and reduced mass loss in early-type stars with large-scale magnetic fields
null,14106,Are two heads the same as one? Identifying disparate treatment in fair neural networks
10.48550/arXiv.2210.12733,14107,Self-supervised amodal video object segmentation
10.1109/cvpr52688.2022.01016,14114,Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers
null,14168,Neural attentive circuits
null,14170,Generalization and robustness implications in object-centric learning
null,14171,Score matching enables causal discovery of nonlinear additive noise  models
null,14172,Visual representation learning does not generalize strongly within the  same domain
null,14173,Assaying out-of-distribution generalization in transfer learning
null,14174,The role of pretrained representations for the OOD generalization of  reinforcement learning agents
null,14175,You mostly walk alone: Analyzing feature attribution in trajectory prediction
