Lavington, Jonathan Wilder

1. Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be
   2023/04/27 by Frederik Künstner, Frederik Kunstner, Kunstner, Frederik +6 · 1 voice · 22 citations
   Computer Science · Mathematics · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural Networks and Applications #Optimization and Control (math.OC) #cs.LG #math.OC
2. Nearest Neighbour Score Estimators for Diffusion Generative Models
   2024/02/12 by Matthew Niedoba, Niedoba, Matthew, D. Green +21 · 5 citations
   Computer Science · #Bayesian Methods and Mixture Models #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. A Diffusion-Model of Joint Interactive Navigation
   2023/09/21 by Matthew Niedoba, Jonathan Wilder Lavington, Niedoba, Matthew +19 · 4 citations
   Engineering · #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO) #Traffic Prediction and Management Techniques #Traffic control and management
4. Critic Sequential Monte Carlo
   2022/05/30 by Lioutas, Vasileios, Lavington, Jonathan Wilder, Sefas, Justice +6 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Improved Policy Optimization for Online Imitation Learning
   2022/07/29 by Jonathan Wilder Lavington, Sharan Vaswani, Lavington, Jonathan Wilder +3 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
6. Conditional Permutation Invariant Flows
   2022/06/17 by Berend Zwartsenberg, Zwartsenberg, Berend, Adam Ścibior +17 · 2 citations
   Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #I.2.0 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
   2023/05/24 by Dabiri, Setareh, Lioutas, Vasileios, Zwartsenberg, Berend +8 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences