Sho Sonoda

1. Neural network with unbounded activation functions is universal approximator
   2015/12/18 by Sho Sonoda, Noboru Murata · 4 citations
   Computer Science · Engineering · #Neural Networks and Applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
2. LPML: LLM-Prompting Markup Language for Mathematical Reasoning
   2023/09/21 by Ryutaro Yamauchi, Yamauchi, Ryutaro, Sho Sonoda +5 · 3 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Programming Languages (cs.PL) #Scientific Computing and Data Management #Topic Modeling
3. Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
   2022/05/30 by Sho Sonoda, Sonoda, Sho, Isao Ishikawa +3 · 2 citations
   Neuroscience · Computer Science · Engineering · #Brain Tumor Detection and Classification #Medical Image Segmentation Techniques #Sparse and Compressive Sensing Techniques
4. How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
   2020/08/19 by Ming Li, Sho Sonoda, Li, Ming +6 · 1 citation
   Computer Science · #Machine Learning and ELM #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
5. Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
   2024/05/22 by Sho Sonoda, Sonoda, Sho, Yuka Hashimoto +5 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Analysis and Transform Methods #Mathematical Approximation and Integration #Matrix Theory and Algorithms #Representation Theory (math.RT)