9 citations · 21 across the 16 of their papers we have counts for
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cs.LG2026
How Long, Not How Close: A Learned Temporal Metric for Planning in Latent World Models
Lama Moukheiber, Haotian Xue, Yongxin Chen
Latent world models plan by rolling a frozen predictor forward under candidate action sequences and ranking the candidates by the latent distance between their imagined end state a…
cs.LG2021★ 4 cited
A Hypothesis for the Aesthetic Appreciation in Neural Networks
Xu Cheng, Xin Wang, Haotian Xue +2
This paper proposes a hypothesis for the aesthetic appreciation that aesthetic images make a neural network strengthen salient concepts and discard inessential concepts. In order t…
cs.LG2019★ 7 cited
Towards a Unified Evaluation of Explanation Methods without Ground Truth
Hao Zhang, Jiayi Chen, Haotian Xue +1
This paper proposes a set of criteria to evaluate the objectiveness of explanation methods of neural networks, which is crucial for the development of explainable AI, but it also p…