Weare, Jonathan
- Ensemble Markov chain Monte Carlo with teleporting walkers
2021/06/04 by Michael Lindsey, Lindsey, Michael, Jonathan Weare +3 · 6 citations
Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Target Tracking and Data Fusion in Sensor Networks
- Ensemble preconditioning for Markov chain Monte Carlo simulation
2016/07/13 by Charles H. Matthews, Matthews, Charles, Jonathan Weare +3 · 4 citations
Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #NMR spectroscopy and applications #Numerical Analysis (math.NA)
- Sharp entrywise perturbation bounds for Markov chains
2014/10/06 by Thiede, Erik, Van Koten, Brian, Weare, Jonathan · 2 citations
#15A18 #15B51 #60J10 #65C40 #65F15 #FOS: Mathematics #Numerical Analysis (math.NA) #Probability (math.PR)
- Long-timescale predictions from short-trajectory data: A benchmark analysis of the trp-cage miniprotein
2020/09/08 by Strahan, John, Antoszewski, Adam, Lorpaiboon, Chatipat +3 · 3 citations
#Biomolecules (q-bio.BM) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Biological sciences #FOS: Physical sciences #Statistics and Probability (physics.data-an)
- Improved Active Learning via Dependent Leverage Score Sampling
2023/10/08 by Shimizu, Atsushi, Cheng, Xiaoou, Musco, Christopher +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Using pretrained graph neural networks with token mixers as geometric featurizers for conformational dynamics
2024/09/30 by Zihan Pengmei, Pengmei, Zihan, Chatipat Lorpaiboon +7 · 7 citations
Engineering · #Astronomical Observations and Instrumentation
- The surprising efficiency of temporal difference learning for rare event prediction
2024/05/27 by Xiaoou Cheng, Cheng, Xiaoou, Jonathan Weare +1 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Using Explainable AI and Transfer Learning to Understand and Predict the Maintenance of Atlantic Blocking With Limited Observational Data
2024/04/12 by Huan Zhang, Zhang, Huan, Justin Finkel +7 · 2 citations
Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations #Tropical and Extratropical Cyclones Research
- Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias
2024/08/20 by Yifan Chen, Chen, Yifan, Xiaoou Cheng +5 · 2 citations
Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Statistical Mechanics and Entropy #Statistical Methods and Inference
- Revealing the Statistics of Extreme Events Hidden in Short Weather Forecast Data
2022/06/10 by Justin Finkel, Finkel, Justin, Edwin P. Gerber +5 · 2 citations
Earth and Planetary Sciences · Environmental Science · #Applications (stat.AP) #Atmospheric and Environmental Gas Dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Computer and information sciences #FOS: Physical sciences #Meteorological Phenomena and Simulations