Summary of Gradient-free Variational Learning with Conditional Mixture Networks, by Conor Heins et al.
Gradient-free variational learning with conditional mixture networksby Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz,…
Summary of Targeted Cause Discovery with Data-driven Learning, by Jang-hyun Kim et al.
Targeted Cause Discovery with Data-Driven Learningby Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh…
Summary of Iterated Energy-based Flow Matching For Sampling From Boltzmann Densities, by Dongyeop Woo et al.
Iterated Energy-based Flow Matching for Sampling from Boltzmann Densitiesby Dongyeop Woo, Sungsoo AhnFirst submitted to…
Summary of Learning Harmonized Representations For Speculative Sampling, by Lefan Zhang et al.
Learning Harmonized Representations for Speculative Samplingby Lefan Zhang, Xiaodan Wang, Yanhua Huang, Ruiwen XuFirst submitted…
Summary of Efficient Llm Scheduling by Learning to Rank, By Yichao Fu et al.
Efficient LLM Scheduling by Learning to Rankby Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao,…
Summary of The Role Of Fibration Symmetries in Geometric Deep Learning, by Osvaldo Velarde et al.
The Role of Fibration Symmetries in Geometric Deep Learningby Osvaldo Velarde, Lucas Parra, Paolo Boldi,…
Summary of Remove Symmetries to Control Model Expressivity and Improve Optimization, by Liu Ziyin et al.
Remove Symmetries to Control Model Expressivity and Improve Optimizationby Liu Ziyin, Yizhou Xu, Isaac ChuangFirst…
Summary of Boosting Lossless Speculative Decoding Via Feature Sampling and Partial Alignment Distillation, by Lujun Gui et al.
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillationby Lujun Gui, Bin Xiao,…
Summary of Vflip: a Backdoor Defense For Vertical Federated Learning Via Identification and Purification, by Yungi Cho et al.
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purificationby Yungi Cho, Woorim…
Summary of Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation, by Chan Hsu et al.
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimationby Chan Hsu, Jun-Ting Wu, Yihuang…