2025 One Hertz Challenge: Metronalmost is Gunning for Last Place - We’ve just begun to receive entries to the One Hertz Challenge, but we already hav... - https://hackaday.com/2025/07/15/2025-one-hertz-challenge-metronalmost-is-gunning-for-last-place/ #clockhacks #metronome #contests #gaussian #esp-12e

'Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals', by David Bolin, Vaibhav Mehandiratta, Alexandre B. Simas.

http://jmlr.org/papers/v26/24-1779.html

#gaussian #prediction #approximate

'Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers', by Federico Bassetti, Marco Gherardi, Alessandro Ingrosso, Mauro Pastore, Pietro Rotondo.

http://jmlr.org/papers/v26/24-1158.html

#gaussian #gaussians #convol

Ok, this is amazing.

https://inv.nadeko.net/watch?v=xDLxFGXuPEc

YT - Captain Disillusion - CD / Blur

'gsplat: An Open-Source Library for Gaussian Splatting', by Vickie Ye et al.

http://jmlr.org/papers/v26/24-1476.html

#gsplat #gaussian #splatting

'Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data', by Didong Li, Andrew Jones, Sudipto Banerjee, Barbara E. Engelhardt.

http://jmlr.org/papers/v26/23-0291.html

#gaussian #mggp #mggps

'Random ReLU Neural Networks as Non-Gaussian Processes', by Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa Pourya, Michael Unser.

http://jmlr.org/papers/v26/24-0737.html

#stochastic #autocovariance #gaussian

'Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization', by Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis.

http://jmlr.org/papers/v26/23-1359.html

#regularization #entropy #gaussian

Tomorrow at #WorkshopsForUkraine: Modeling Non-Linear Relationships: An Introduction to #Gaussian Process Regression in #R #Rstats and Stan, by Jan Failenschmid (Tilburg University), February 13th, 6 pm CET. Register or sponsor a place for a student by donating to support #Ukraine. Details: https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine#h.72mqsug3vfwk

'Transfer learning for tensor Gaussian graphical models', by Mingyang Ren, Yaoming Zhen, Junhui Wang.

http://jmlr.org/papers/v25/22-1313.html

#tensor #gaussian #models

A really exciting piece of #Gaussian #Splatting research, by Lan et al. 2025

3DGS²: Near Second-order Converging 3D Gaussian Splatting

https://arxiv.org/pdf/2501.13975

"[.] we argue that training 3DGS fundamentally differs
from generic deep learning. Simply “copy-and-paste” the standard [SGD-based] learning procedure for 3DGS is neither efficient nor effective."

Splits up the scene, no SGD required, really fast convergence.

Curious to see "only for static scenes" listed first under the limitations.

Join us for our next town hall, "Gaussian Splats: Ready for Standardization?"! This town hall will feature users and developers for a 3-hour, in-depth discussion on how interoperability could drive adoption and prevent fragmentation.

We're excited to announce that @Niantic Labs will be a featured presenter! If your company would like to present, info on how is on the event page.

Learn more: https://metaverse-standards.org/event/gaussian-splats-ready-for-standardization/
#Gaussian #splat

'Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps', by Simon Apers, Sander Gribling, Dániel Szilágyi.

http://jmlr.org/papers/v25/23-1521.html

#gaussian #metropolis #sampling

'On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives', by Tong Li, Ming Yuan.

http://jmlr.org/papers/v25/20-1228.html

#nonparametric #gaussian #kernels

'Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix', by Anindya Bhadra, Ksheera Sagar, David Rowe, Sayantan Banerjee, Jyotishka Datta.

http://jmlr.org/papers/v25/23-0254.html

#priors #prior #gaussian

Show HN: SuperSplat – open-source 3D Gaussian Splat Editor
https://playcanvas.com/supersplat/editor?load=https://raw.githubusercontent.com/willeastcott/assets/main/toy-cat.ply&camera.overlay=false&show.bound=false
#ycombinator #PLY #Gaussian #Splat #PlayCanvas #Editor

#spz: A new file format developed by #Niantic for compressed 3D #gaussian splats storage

• Achieves ~10x compression compared to .ply files while maintaining visual quality

• Includes C++ #opensource library requiring only #libz dependency

• Supports comprehensive data encoding: positions, scales, rotations, alphas, colors & spherical harmonics

• Technical features: 24-bit fixed-point coordinates, 8-bit log-encoded scales, quaternion rotations, configurable spherical harmonics (degree 0-3)

Learn more: https://github.com/nianticlabs/spz

'Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces', by Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy.

http://jmlr.org/papers/v25/23-0115.html

#gaussian #invariance #cov

'Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case', by Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy.

http://jmlr.org/papers/v25/22-1434.html

#gaussian #invariance #spatiotemporal