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← Authors

Amos J. Storkey

17 papers · 2006–2022 · 1 conference · across top CS/AI conferences

Achievements

Jump to papers ↓
+9 more ↓ 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (10) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (59) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (17) πŸ”₯ Unstoppable (5)

Conferences

NIPS (17)

Top co-authors

Paul Micaelli (2) David P. Reichert (2) Elliot J. Crowley (2) Massimiliano Patacchiola (2) Lawrence Murray (2) Peggy Series (2) Yichuan Zhang (1) Stephen Lawrie (1) Ben Williams (1) Masashi Sugiyama (1)

Research topics

Probability (1)

Keywords

bayesian inference (5) few-shot learning (3) knowledge distillation (2) stochastic differential equation (2) causal inference (2) model distillation (2) markov chain monte carlo (2) parameter estimation (2) generative model (2) deep boltzmann machine (2) neural modeling (2) model compression (2) domain adaptation (2) neural network (2) fmri analysis (2) probabilistic inference (2) stochastic gradient (1) bayesian learning (1) generative modeling (1) adversarial learning (1)

Papers

Hamiltonian Latent Operators for content and motion disentanglement in image sequences NIPS 2022 Gradient-based Hyperparameter Optimization Over Long Horizons NIPS 2021 Self-Supervised Relational Reasoning for Representation Learning NIPS 2020 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020 Zero-shot Knowledge Transfer via Adversarial Belief Matching NIPS 2019 Learning to Learn By Self-Critique NIPS 2019 Moonshine: Distilling with Cheap Convolutions NIPS 2018 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NIPS 2015 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012 The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NIPS 2012 Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NIPS 2011 Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model NIPS 2010 Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NIPS 2010 Modelling motion primitives and their timing in biologically executed movements NIPS 2007 Continuous Time Particle Filtering for fMRI NIPS 2007 Mixture Regression for Covariate Shift NIPS 2006 Learning Structural Equation Models for fMRI NIPS 2006