38 citations · 48 across the 6 of their papers we have counts for
7 papers
Markov maps and quasi-conformal deformations associated to geometrically finite Kleinian groups
Shengjin Huo, Wanting Shao
It is known that the dynamical properties of Kleinian groups with parabolic elements are much more complex than those without parabolic elements. In this paper, we mainly study the…
The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes
Redacted by arXiv
This document consolidates publicly reported technical details about Metas Llama 4 model family. It summarizes (i) released variants (Scout and Maverick) and the broader herd conte…
Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration
Zhongyi Jiang, Min Zhu, Lu Lu
Geologic carbon sequestration (GCS) is a safety-critical technology that aims to reduce the amount of carbon dioxide in the atmosphere, which also places high demands on reliabilit…
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
Dongzhuo Li
Deep generative models such as GANs, normalizing flows, and diffusion models are powerful regularizers for inverse problems. They exhibit great potential for helping reduce ill-pos…
Learning Hidden Dynamics using Intelligent Automatic Differentiation
Kailai Xu, Dongzhuo Li, Eric Darve +1
Many engineering problems involve learning hidden dynamics from indirect observations, where the physical processes are described by systems of partial differential equations (PDE)…
Coupled Time-lapse Full Waveform Inversion for Subsurface Flow Problems using Intrusive Automatic Differentiation
Dongzhuo Li, Kailai Xu, Jerry M. Harris +1
We describe a novel framework for estimating subsurface properties, such as rock permeability and porosity, from time-lapse observed seismic data by coupling full-waveform inversio…
Full waveform inversion with nonlocal similarity and model-derivative domain adaptive sparsity-promoting regularization
Dongzhuo Li, Jerry M. Harris
Full waveform inversion (FWI) is a highly nonlinear and ill-posed problem. On one hand, it can be easily trapped in a local minimum. On the other hand, the inversion results may ex…