DOI,IST REx ID,Research Group,Title of publication
10.48550/arXiv.2210.15607,12750,"GradSch,MaSe",Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models
10.4230/LIPIcs.CONCUR.2022.11,12775,KrCh,Anytime guarantees for reachability in uncountable Markov decision processes
null,12776,TiBr,"Revisiting the Manin–Peyre conjecture for the split del Pezzo surface of degree 5"
10.1145/3528535.3565248,12780,DaAl,CGX: Adaptive system support for communication-efficient deep learning
10.2140/pjm.2022.321.193,12793,TaHa, A coarse geometric expansion of a variant of Arthur's truncated traces and some applications
10.48550/arXiv.2203.16701,12860,"GradSch,MaMo",Towards differential relational privacy and its use in question answering
10.5061/DRYAD.GTHT76HMZ,13064,MaRo,Improving genome-wide association discovery and genomic prediction accuracy in biobank data
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