activity
20242026
collaborators

5 papers

cs.CV2026

Best Segmentation Buddies for Image-Shape Correspondence

Itai Lang, Dongwei Lyu, Dale Decatur +1

Finding correspondences is a fundamental and extensively researched problem in computer vision and graphics. In this work, we examine the underexplored task of estimating segmentat…

cs.LG2026

Continuity Laws for Sequential Models

Annan Yu, Dongwei Lyu, N. Benjamin Erichson

Inductive biases influence the behavior and performance of sequential models. In this work, we study an underexplored inductive bias in sequential modeling: continuity in time. We…

cs.LG2025

WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning

Dongwei Lyu, Rie Nakata, Pu Ren +4

We propose a new deep learning model, WaveCastNet, to forecast high-dimensional wavefields. WaveCastNet integrates a convolutional long expressive memory architecture into a sequen…

cs.LG2025

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems

N. Benjamin Erichson, Vinicius Mikuni, Dongwei Lyu +4

We introduce FLEX (FLow EXpert), a backbone architecture for generative modeling of spatio-temporal physical systems using diffusion models. FLEX operates in the residual space rat…

cs.LG2024

Tuning Frequency Bias of State Space Models

Annan Yu, Dongwei Lyu, Soon Hoe Lim +2

State space models (SSMs) leverage linear, time-invariant (LTI) systems to effectively learn sequences with long-range dependencies. By analyzing the transfer functions of LTI syst…