33 citations · 38 across the 12 of their papers we have counts for
3 papers · 1 filter
Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability
Yuntian Hou, Tianrui Ji, Di Zhang +1
Kolmogorov-Arnold Networks (KANs) have gained significant attention as an alternative to traditional multilayer perceptrons, with proponents claiming superior interpretability and…
Contrastive Learning Via Equivariant Representation
Sifan Song, Jinfeng Wang, Qiaochu Zhao +6
Invariant Contrastive Learning (ICL) methods have achieved impressive performance across various domains. However, the absence of latent space representation for distortion (augmen…
Combining Transformer based Deep Reinforcement Learning with Black-Litterman Model for Portfolio Optimization
Ruoyu Sun, Angelos Stefanidis, Zhengyong Jiang +1
As a model-free algorithm, deep reinforcement learning (DRL) agent learns and makes decisions by interacting with the environment in an unsupervised way. In recent years, DRL algor…