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Laurence Aitchison

  1. Questionable practices in machine learning
    2024/07/17 by Gavin Leech, Juan J. Vazquez, Leech, Gavin +7 · 10 voices · 1 citation
    #cs.LG #cs.CL #cs.CY
  2. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
    2024/02/01 by Theodore Papamarkou, Papamarkou, Theodore, Maria Skoularidou +48 · 1 voice · 14 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification #cs.LG #stat.ML
  3. Bayesian Low-rank Adaptation for Large Language Models
    2023/08/24 by Adam X. Yang, Maxime Robeyns, Yang, Adam X. +5 · 11 citations
    Computer Science · Mathematics · #Speech Recognition and Synthesis #Tensor decomposition and applications #Speech and Audio Processing
  4. Deep Convolutional Networks as shallow Gaussian Processes
    2018/08/16 by Adrià Garriga-Alonso, Carl Edward Rasmussen, Garriga-Alonso, Adrià +3 · 10 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. How to set AdamW's weight decay as you scale model and dataset size
    2024/05/22 by Xi Wang, Laurence Aitchison, Wang, Xi +1 · 12 citations
    Health Professions · #Artificial Intelligence in Healthcare
  6. Ministral 3
    2026/01/13 by Alexander H. Liu, Kartik Khandelwal, Sandeep Subramanian +116 · 3 voices · 3 citations
    #cs.CL
  7. LoRA ensembles for large language model fine-tuning
    2023/09/29 by Xi Wang, Wang, Xi, Laurence Aitchison +3 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  8. A statistical theory of cold posteriors in deep neural networks
    2020/08/13 by Laurence Aitchison, Aitchison, Laurence · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning
  9. Bayesian Reward Models for LLM Alignment
    2024/02/20 by Adam X. Yang, Maxime Robeyns, Yang, Adam X. +10 · 6 citations
    Computer Science · #FOS: Computer and information sciences #Library Science and Information Systems #Machine Learning (cs.LG) #Natural Language Processing Techniques
  10. Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
    2021/10/05 by Mrinank Sharma, Sören Mindermann, Darren Smith +21 · 1 voice · 3 citations
    Economics, Econometrics and Finance · Mathematics · Social Sciences · #COVID-19 Pandemic Impacts #COVID-19 epidemiological studies #Vaccine Coverage and Hesitancy
  11. Bayesian OOD detection with aleatoric uncertainty and outlier exposure
    2021/02/24 by Xi Wang, Wang, Xi, Laurence Aitchison +1 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Machine learning emulation of a local-scale UK climate model
    2022/11/29 by Henry Addison, Elizabeth Kendon, Addison, Henry +7 · 3 citations
    Environmental Science · Earth and Planetary Sciences · #Climate variability and models #Meteorological Phenomena and Simulations #Hydrological Forecasting Using AI
  13. Residual Stream Analysis with Multi-Layer SAEs
    2024/09/06 by T.V. Lawson, Lawson, Tim, Lucy Farnik +5 · 5 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
  14. Position: Don't Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints
    2025/03/03 by Sam Bowyer, Laurence Aitchison, Bowyer, Sam +3 · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  15. InfoNCE is variational inference in a recognition parameterised model
    2021/07/06 by Laurence Aitchison, Aitchison, Laurence, Ganev, Stoil · 2 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Mechanics and Entropy
  16. The Hamiltonian brain: efficient probabilistic inference with\n excitatory-inhibitory neural circuit dynamics
    2014/07/03 by Laurence Aitchison, Aitchison, Laurence, Máté Lengyel +1 · 1 citation
    Neuroscience · #FOS: Biological sciences #Functional Brain Connectivity Studies #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Visual perception and processing mechanisms
  17. Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model
    2024/07/19 by Henry Addison, Elizabeth Kendon, Addison, Henry +7 · 2 citations
    Environmental Science · Earth and Planetary Sciences · Physics and Astronomy · #Climate variability and models #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
  18. What deep reinforcement learning tells us about human motor learning and vice-versa
    2022/08/23 by Michele Garibbo, Casimir J. H. Ludwig, Garibbo, Michele +5 · 1 citation
    Computer Science · Engineering · Neuroscience · #Reinforcement Learning in Robotics #Muscle activation and electromyography studies #EEG and Brain-Computer Interfaces
  19. Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
    2024/03/29 by Mauro Comi, Alessio Tonioni, Comi, Mauro +13 · 2 citations
    Neuroscience · Computer Science · Earth and Planetary Sciences · #Tactile and Sensory Interactions #Interactive and Immersive Displays #3D Surveying and Cultural Heritage
  20. MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
    2023/02/22 by Adam X. Yang, Laurence Aitchison, Yang, Adam X. +3 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification
  21. Using Neural Networks for Data Cleaning in Weather Datasets
    2024/06/21 by Jack R. P. Hanslope, Hanslope, Jack R. P., Laurence Aitchison +1 · 1 citation
    Decision Sciences · #Big Data Technologies and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Robostral Navigate
    2026/07/22 by Abhijeet Somani, Arjun Majumdar, Aditi Kabra +212
    #cs.RO #cs.AI