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 The Mamba in the Llama: Distilling and Accelerating Hybrid Models, by Junxiong Wang et al.
The Mamba in the Llama: Distilling and Accelerating Hybrid Modelsby Junxiong Wang, Daniele Paliotta, Avner…
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…
Summary of Evaluating the Energy Consumption Of Machine Learning: Systematic Literature Review and Experiments, by Charlotte Rodriguez et al.
Evaluating the Energy Consumption of Machine Learning: Systematic Literature Review and Experimentsby Charlotte Rodriguez, Laura…