A Unified Gaussian Process for Branching and Nested Hyperparameter Optimizationby Jiazhao Zhang, Ying Hung, Chung-Ching…
Non-Parametric Estimation of Multi-dimensional Marked Hawkes Processesby Sobin Joseph, Shashi JainFirst submitted to arxiv on:…
Color Recognition in Challenging Lighting Environments: CNN Approachby Nizamuddin Maitlo, Nooruddin Noonari, Sajid Ahmed Ghanghro,…
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networksby Hemanth Saratchandran, Shin-Fang Chng, Simon…
E(3)-Equivariant Mesh Neural Networksby Thuan Trang, Nhat Khang Ngo, Daniel Levy, Thieu N. Vo, Siamak…
Towards Improved Imbalance Robustness in Continual Multi-Label Learning with Dual Output Spiking Architecture (DOSA)by Sourav…
Neural Networks Learn Statistics of Increasing Complexityby Nora Belrose, Quintin Pope, Lucia Quirke, Alex Mallen,…
Densely Multiplied Physics Informed Neural Networksby Feilong Jiang, Xiaonan Hou, Min XiaFirst submitted to arxiv…
Deep Learning for Multivariate Time Series Imputation: A Surveyby Jun Wang, Wenjie Du, Yiyuan Yang,…
Cross Entropy versus Label Smoothing: A Neural Collapse Perspectiveby Li Guo, Keith Ross, Zifan Zhao,…