Latest posts tagged with #parameterization on Bluesky
New #J2C Certification:
Optimization Guarantees for Square-Root Natural-Gradient Variational Inference
Navish Kumar, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Aurelien Lucchi
https://openreview.net/forum?id=OMOFmb6ve7
#variational #gradient #parameterization
Optimization Guarantees for Square-Root Natural-Gradient Variational Inference
Navish Kumar, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Aurelien Lucchi
Action editor: Jan-Willem van de Meent
https://openreview.net/forum?id=OMOFmb6ve7
#variational #gradient #parameterization
The R2 (a, c, e, g, i, k) and RMSE (b, d, f, h, j, l) from 29 different fitting functions for the relationship between H and DBH for six different PFTs.
The relationship between H and DBH for six different PFTs (a–f). The blue line is the best fitting function for each PFT.
【EDITOR'S CHOICE】
#Parameterization of height–diameter and crown radius–diameter relationships across the globe
#TreeHeight | #DiameteratBreastHeight | #CrownRadius | #FittingFunction | #VegetationModel
doi.org/10.1093/jpe/...
LEAP welcomes @blankabalogh_ to our ML Journal Club this week!
📅 THURSDAY, 11/9 @ 3:30p (EDT)
💻
@columbia @columbiaclimate @CUSEAS @NSF @meteofrance
#climate #climatemodels #parameterization #ML #AI #climateadaptation
Don't miss LEAP team-member Sara Shamekh presenting "Low-dimensional representation of turbulence across planetary boundary layer regimes" this morning at 11:25 (CST) @ E353ab!
#Parameterization #ClimateModel #Climate #ClimateAdaptation
LEAP team-member Sara Shamekh presents this evening at #AGU #AGU22!
Check out "NG36A-03 - Implicit Learning of Convective Organization Explains Precipitation Stochasticity"
#ClimateModel #Climate #Parameterization #Precipitation #ML #Data
🌍 THURSDAY: LEAP FALL LECTURE 🌍
Dr. Pedram Hassanzadeh (Rice) presents "Learning Data-driven Subgrid-Scale Models for Geophysical Turbulence"
Thurs, 11/17 @ 3pm
Hybrid: in-person/via Zoom
RSVP:
#ClimateScience #ML #ClimateChange #Parameterization
