Amos J. Storkey
17 papers · 2006–2022 · 1 conference · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (9) πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
π£
Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(10)
π
Keyword Champion
ποΈ
Keyword Collector
(59)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(17)
π₯
Unstoppable
(5)
Conferences
NIPS (17)
Top co-authors
Research topics
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