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Iain Murray

27 papers · 2008–2021 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🌟 Keyword Trendsetter Combo (6) πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) 🌱 Topic Pioneer πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (54) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ❓ The Questioner (2) πŸ’Ž Century Club (27) πŸ”₯ Unstoppable (9)

Conferences

NIPS (10) AISTATS (5) ICML (5) JMLR (3) AAAI (1) EACL (1) EMNLP (1) ICLR (1)

Top co-authors

Hugo Larochelle (5) George Papamakarios (5) Ryan P. Adams (3) Benigno Uria (3) Conor Durkan (3) Karol Gregor (2) Asa Cooper Stickland (2) David MacKay (2) Matthew Graham (1) Artur Bekasov (1)

Research topics

Linguistics (1) Science (1) Statistics (1) Probability (1)

Keywords

generative model (7) density estimation (6) markov chain monte carlo (6) neural network (6) autoregressive model (5) bayesian inference (5) slice sampling (3) likelihood-free inference (3) gaussian process (3) distribution estimation (2) mixture model (2) normalizing flow (2) unbiased estimator (2) monte carlo method (2) simulator model (2) approximate bayesian computation (2) variational inference (2) posterior distribution (2) unsupervised learning (2) restricted boltzmann machine (2)

Papers

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting AAAI 2021
Regularising Fisher Information Improves Cross-lingual Generalisation EMNLP 2021
Maximum Likelihood Training of Score-Based Diffusion Models NIPS 2021
On Contrastive Learning for Likelihood-free Inference ICML 2020
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning ICML 2019
Mode Normalization ICLR 2019
Neural Spline Flows NIPS 2019
Dynamic Evaluation of Neural Sequence Models ICML 2018
Aye or naw, whit dae ye hink? Scottish independence and linguistic identity on social media EACL 2017
Markov Chain Truncation for Doubly-Intractable Inference AISTATS 2017
Masked Autoregressive Flow for Density Estimation NIPS 2017
Neural Autoregressive Distribution Estimation JMLR 2016
Fast Ξ΅-free Inference of Simulation Models with Bayesian Conditional Density Estimation NIPS 2016
Pseudo-Marginal Slice Sampling AISTATS 2016
MADE: Masked Autoencoder for Distribution Estimation ICML 2015
Parallel MCMC with Generalized Elliptical Slice Sampling JMLR 2014
A Deep and Tractable Density Estimator ICML 2014
A Framework for Evaluating Approximation Methods for Gaussian Process Regression JMLR 2013
RNADE: The real-valued neural autoregressive density-estimator NIPS 2013
How biased are maximum entropy models? NIPS 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Elliptical slice sampling AISTATS 2010
Characterizing response behavior in multisensory perception with conflicting cues NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Evaluating probabilities under high-dimensional latent variable models NIPS 2008