Zeke Xie

1. Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization
   2024/07/19 by Zipeng Qi, Lichen Bai, Qi, Zipeng +5 · 20 citations
   Decision Sciences · Engineering · Physics and Astronomy · #Probabilistic and Robust Engineering Design #Acoustic Wave Phenomena Research #Scientific Research and Discoveries
2. Dataset Pruning: Reducing Training Data by Examining Generalization Influence
   2022/05/19 by Shuo Yang, Zeke Xie, Yang, Shuo +9 · 12 citations
   Computer Science · #Machine Learning and Data Classification #Advanced Neural Network Applications #Neural Networks and Applications
3. Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
   2020/06/29 by Zeke Xie, Xie, Zeke, Xinrui Wang +7 · 3 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
4. SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior
   2024/03/29 by Zhongrui Yu, Yu, Zhongrui, Haoran Wang +14 · 5 citations
   Computer Science · Environmental Science · #Video Surveillance and Tracking Methods #Remote Sensing and LiDAR Applications #Advanced Vision and Imaging
5. Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
   2021/03/31 by Zeke Xie, Yuan Li, Xie, Zeke +5 · 2 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Machine Learning and ELM
6. On the Overlooked Structure of Stochastic Gradients
   2022/12/05 by Zeke Xie, Xie, Zeke, Qian-Yuan Tang +5 · 2 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Advanced Neural Network Applications
7. S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
   2023/08/14 by Zeke Xie, Xie, Zeke, Xindi Yang +13 · 2 citations
   Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
   2020/11/12 by Zeke Xie, Xie, Zeke, Fengxiang He +9 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications #Explainable Artificial Intelligence (XAI)
9. Sparse Double Descent: Where Network Pruning Aggravates Overfitting
   2022/06/17 by Zheng He, He, Zheng, Zeke Xie +5 · 1 citation
   Computer Science · Physics and Astronomy · #Neural Networks and Applications #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
10. Weak-to-Strong Diffusion with Reflection
    2025/02/01 by Lichen Bai, Masashi Sugiyama, Bai, Lichen +3 · 2 citations
    Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Numerical methods in inverse problems
11. Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents
    2024/07/11 by Haoyi Xiong, Zhiyuan Wang, Xiong, Haoyi +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
12. Pre-trained Molecular Language Models with Random Functional Group Masking
    2024/11/03 by Tianhao Peng, Yuchen Li, Peng, Tianhao +17 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Chemical Physics (physics.chem-ph) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Topic Modeling
13. Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer
    2024/11/16 by Shitong Shao, Shao, Shitong, Zikai Zhou +9 · 1 citation
    Engineering · #Welding Techniques and Residual Stresses
14. Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification
    2026/07/27 by Haopeng Li, Yitong Li, Junsong Chen +8
    #cs.CV