DOI,IST REx ID,Research Group,Title of publication
10.5061/DRYAD.M905QFV4B,13066,NiBa,Data from: Genetic architecture of repeated phenotypic divergence in Littorina saxatilis ecotype evolution
10.5281/ZENODO.5733408,13076,DaAl,Multi-queues can be state-of-the-art priority schedulers
null,13239,TiVo,Predictive learning enables neural networks to learn complex working memory tasks
10.3389/ffunb.2022.1029114,13240,JiFr,Tetracycline-controlled (TetON) gene expression system for the smut fungus Ustilago maydis
null,13241,ChLa,On the impossibility of fairness-aware learning from corrupted data
null,14093,FrLo, Faster one-sample stochastic conditional gradient method for composite convex minimization
null,14106,FrLo,Are two heads the same as one? Identifying disparate treatment in fair neural networks
10.48550/arXiv.2210.12733,14107,FrLo,Self-supervised amodal video object segmentation
10.1109/cvpr52688.2022.01016,14114,FrLo,Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers
null,14168,FrLo,Neural attentive circuits
null,14170,FrLo,Generalization and robustness implications in object-centric learning
null,14171,FrLo,Score matching enables causal discovery of nonlinear additive noise  models
null,14172,FrLo,Visual representation learning does not generalize strongly within the  same domain
null,14173,FrLo,Assaying out-of-distribution generalization in transfer learning
null,14174,FrLo,The role of pretrained representations for the OOD generalization of  reinforcement learning agents
null,14175,FrLo,You mostly walk alone: Analyzing feature attribution in trajectory prediction
null,14215,FrLo,A general purpose neural architecture for geospatial systems
10.48550/arXiv.2201.13388,14220,FrLo,Compositional multi-object reinforcement learning with linear relation networks
10.24033/ast.1188,14381,UlWa,"High-dimensional expanders (after Gromov, Kaufman, Kazhdan, Lubotzky, and others)"
10.1038/d41586-022-04447-0,14437,MaIb,Molecular engineering enables bright blue LEDs