Ian Langmore

1. TensorFlow Distributions
   2017/11/28 by Joshua V. Dillon, Ian Langmore, Dillon, Joshua V. +17 · 1 voice · 11 citations
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Programming Languages (cs.PL) #cs.AI #cs.LG #cs.PL #stat.ML
2. WeatherBench 2: A benchmark for the next generation of data-driven global weather models
   2023/08/29 by Stephan Rasp, Stephan Hoyer, Rasp, Stephan +33 · 64 citations
   Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis #Hydrological Forecasting Using AI
3. NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
   2019/03/09 by Matthew D. Hoffman, Pavel Sountsov, Hoffman, Matthew +9 · 14 citations
   Computer Science · Mathematics · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks
4. Neural general circulation models optimized to predict satellite-based precipitation observations
   2024/12/16 by Janni Yuval, Ian Langmore, Yuval, Janni +5 · 2 voices · 3 citations
   Earth and Planetary Sciences · #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis #Tropical and Extratropical Cyclones Research #cs.LG #physics.ao-ph
5. A Condition Number for Hamiltonian Monte Carlo
   2019/05/23 by Ian Langmore, Langmore, Ian, M. Dikovsky +7 · 2 citations
   Computer Science · Mathematics · #90-08 #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #G.3 #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)