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Amos J. Storkey

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

Achievements

🌈 Renaissance Researcher (9) πŸƒ Academic Marathon (16) πŸ—ΊοΈ Taxonomy Completionist (19) 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🐣 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