5 papers
Identifiability in Graphical Discrete Lyapunov Models
Cecilie Olesen Recke, Sarah Lumpp, Nataliia Kushnerchuk +4
In this paper, we study discrete Lyapunov models, which consist of steady-state distributions of first-order vector autoregressive models. The parameter matrix of such a model enco…
Breaking the Memory Wall: Exact Analytical Differentiation via Tiled Operator-Space Evolution
Shuhuan Wang, Yuzhen Xie, Jiayi Li +1
Selective State Space Models (SSMs) achieve linear-time inference, yet their gradient-based sensitivity analysis remains bottlenecked by O(L) memory scaling during backpropagation.…
Policy: Mutable Material Manipulation Augmentation Policy through Photometric Re-rendering
Jiayi Li, Yuxuan Hu, Haoran Geng +4
Material generalization is essential for real-world robotic manipulation, where robots must interact with objects exhibiting diverse visual and physical properties. This challenge…
Compact neural networks for astronomy with optimal transport bias correction
Shuhuan Wang, Yuzhen Xie, Jiayi Li
Astronomical imaging confronts an efficiency-resolution tradeoff that limits large-scale morphological classification and redshift prediction. We introduce WaveletMamba, a theory-d…
Federated Multi-Objective Learning with Controlled Pareto Frontiers
Jiansheng Rao, Jiayi Li, Zhizhi Gong +2
Federated learning (FL) is a widely adopted paradigm for privacy-preserving model training, but FedAvg optimise for the majority while under-serving minority clients. Existing meth…