Summary of Bayesnam: Leveraging Inconsistency For Reliable Explanations, by Hoki Kim et al.
BayesNAM: Leveraging Inconsistency for Reliable Explanationsby Hoki Kim, Jinseong Park, Yujin Choi, Seungyun Lee, Jaewook…
Summary of Zero-shot Nas Via the Suppression Of Local Entropy Decrease, by Ning Wu et al.
Zero-Shot NAS via the Suppression of Local Entropy Decreaseby Ning Wu, Han Huang, Yueting Xu,…
Summary of Spikans: Separable Physics-informed Kolmogorov-arnold Networks, by Bruno Jacob et al.
SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networksby Bruno Jacob, Amanda A. Howard, Panos StinisFirst submitted to arxiv…
Summary of A Survey on Kolmogorov-arnold Network, by Shriyank Somvanshi et al.
A Survey on Kolmogorov-Arnold Networkby Shriyank Somvanshi, Syed Aaqib Javed, Md Monzurul Islam, Diwas Pandit,…
Summary of Poor Man’s Training on Mcus: a Memory-efficient Quantized Back-propagation-free Approach, by Yequan Zhao et al.
Poor Man’s Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approachby Yequan Zhao, Hai Li, Ian…
Summary of Topology-aware Reinforcement Feature Space Reconstruction For Graph Data, by Wangyang Ying et al.
Topology-aware Reinforcement Feature Space Reconstruction for Graph Databy Wangyang Ying, Haoyue Bai, Kunpeng Liu, Yanjie…
Summary of Gaussian Smoothing in Saliency Maps: the Stability-fidelity Trade-off in Neural Network Interpretability, by Zhuorui Ye et al.
Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretabilityby Zhuorui Ye, Farzan…
Summary of Neural Precision Polarization: Simplifying Neural Network Inference with Dual-level Precision, by Dinithi Jayasuriya et al.
Neural Precision Polarization: Simplifying Neural Network Inference with Dual-Level Precisionby Dinithi Jayasuriya, Nastaran Darabi, Maeesha…
Summary of Whale: Towards Generalizable and Scalable World Models For Embodied Decision-making, by Zhilong Zhang et al.
WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-makingby Zhilong Zhang, Ruifeng Chen, Junyin…
Summary of The Sampling Complexity Of Learning Invertible Residual Neural Networks, by Yuanyuan Li et al.
The sampling complexity of learning invertible residual neural networksby Yuanyuan Li, Philipp Grohs, Philipp PetersenFirst…