DOI,IST REx ID,Research Group,Title of publication
null,14218,FrLo,Bridging the gap to real-world object-centric learning
null,14219,FrLo,Unsupervised semantic segmentation with self-supervised object-centric representations
null,14222,FrLo,Unsupervised object learning via common fate
10.48550/arXiv.2307.09552,14333,FrLo,Self-compatibility: Evaluating causal discovery without ground truth
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.2210.01738,14216,FrLo,ASIF: Coupled data turns unimodal models to multimodal without training
10.48550/arXiv.2201.13388,14220,FrLo,Compositional multi-object reinforcement learning with linear relation networks
10.1109/jproc.2021.3058954,14117,FrLo,Toward causal representation learning
null,14176,FrLo,Neighborhood contrastive learning applied to online patient monitoring