Beaglehole, Daniel

1. Average gradient outer product as a mechanism for deep neural collapse
   2024/02/21 by Beaglehole, Daniel, Súkeník, Peter, Mondelli, Marco +1 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features
   2022/12/28 by Adityanarayanan Radhakrishnan, Radhakrishnan, Adityanarayanan, Daniel Beaglehole +5 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
3. Toward universal steering and monitoring of AI models
   2025/02/06 by Daniel Beaglehole, Adityanarayanan Radhakrishnan, Beaglehole, Daniel +5 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Natural Language Processing Techniques #Software Engineering Research
4. Feature learning as alignment: a structural property of gradient descent in non-linear neural networks
   2024/02/07 by Daniel Beaglehole, Ioannis Mitliagkas, Beaglehole, Daniel +3 · 2 citations
   Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
5. Sampling Equilibria: Fast No-Regret Learning in Structured Games
   2022/01/26 by Daniel Beaglehole, Beaglehole, Daniel, Max Hopkins +7 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference #Computer Science and Game Theory (cs.GT) #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
6. Mechanism of feature learning in convolutional neural networks
   2023/09/01 by Daniel Beaglehole, Adityanarayanan Radhakrishnan, Beaglehole, Daniel +5 · 1 citation
   Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
   2024/07/29 by Neil Mallinar, Mallinar, Neil, Daniel Beaglehole +9 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
8. xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
   2025/08/12 by Beaglehole, Daniel, Holzmüller, David, Radhakrishnan, Adityanarayanan +1 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)