Isaac Reid

1. Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
   2025/02/04 by Connor Schenck, Isaac Reid, Schenck, Connor +41 · 8 citations
   Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO) #Robotics and Sensor-Based Localization
2. Why flatness does and does not correlate with generalization for deep neural networks
   2021/03/10 by Shuofeng Zhang, Zhang, Shuofeng, Isaac Reid +5 · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
3. General Graph Random Features
   2023/10/07 by Isaac Reid, Reid, Isaac, Krzysztof Choromański +5 · 2 citations
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
4. Quasi-Monte Carlo Graph Random Features
   2023/05/21 by Isaac Reid, Reid, Isaac, Krzysztof Choromański +3 · 1 citation
   Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Mathematical Approximation and Integration
5. Repelling Random Walks
   2023/10/07 by Isaac Reid, Reid, Isaac, Eli Berger +5 · 1 citation
   Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics