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← Authors

Amos Storkey

21 papers · 2011–2025 · 6 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+7 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6)
🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (86) πŸ’Ž Century Club (21)

Conferences

ICLR (7) AISTATS (5) ICML (5) NIPS (2) COLING (1) ECCV (1)

Top co-authors

Antreas Antoniou (4) Adam Jelley (3) Elliot J. Crowley (3) Jack Turner (2) Chenhongyi Yang (2) Harrison Edwards (2) Yuri Burda (2) Gavin Gray (1) StanisΕ‚aw Jastrzebski (1) Zachary Kenton (1)

Keywords

neural architecture search (2) prediction market (2) attention mechanism (2) image classification (1) sample efficiency (1) adversarial learning (1) continual learning (1) neural network training (1) risk management (1) imitation learning (1) model combination (1) bayesian inference (1) empirical bayesian (1) medical imaging (1) preference alignment (1) adversarial robustness (1) reinforcement learning (1) deep learning (1) neural network optimization (1) transformer architecture (1)

Papers

LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots COLING 2025 Diffusion for World Modeling: Visual Details Matter in Atari NIPS 2024 Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024 einspace: Searching for Neural Architectures from Fundamental Operations NIPS 2024 DAM: Towards a Foundation Model for Forecasting ICLR 2024 ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging ICML 2023 Adversarial robustness of VAEs through the lens of local geometry AISTATS 2023 Contrastive Meta-Learning for Partially Observable Few-Shot Learning ICLR 2023 Prediction-Guided Distillation for Dense Object Detection ECCV 2022 Better Training using Weight-Constrained Stochastic Dynamics ICML 2021 Neural Architecture Search without Training ICML 2021 BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget ICLR 2020 On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length ICLR 2019 Large-Scale Study of Curiosity-Driven Learning ICLR 2019 How to train your MAML ICLR 2019 Exploration by random network distillation ICLR 2019 Asymptotically exact inference in differentiable generative models AISTATS 2017 Training Deep Convolutional Neural Networks to Play Go ICML 2015 Multi-period Trading Prediction Markets with Connections to Machine Learning ICML 2014 Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012 Machine Learning Markets AISTATS 2011