Iain Murray

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

Achievements

+14 more ↓

🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (13) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🌟 Keyword Trendsetter Combo (6) 👑 Triple Crown 🏆 Keyword Champion (3) 🌱 Topic Pioneer 🏆 Grand Slam 🗃️ Keyword Collector (54) 🚀 Conference Pioneer 📈 Trend Setter ❓ The Questioner (2) 💎 Century Club (27) 🔥 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 ε-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