Ryan Missel

Book Chapter

Meta-learning Physics-Informed Neural Networks for Personalized Cardiac Modeling

M. Toloubidokhti, R. Missel, S. Lian, L. Wang

DOI

ICLR 2025

Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan)

Meta-Learning What-How & When to Adapt for sequential latent variable models.

Paper Code

Dissertation

On the Adaptation of Latent Dynamics Models

PhD Dissertation, Rochester Institute of Technology.

ProQuest

Astronomy & Astrophysics

Study of the 2024 Major Vela Glitch at the Argentine Institute of Radioastronomy

E. Zubieta, R. Missel, S. Araujo Furlan, C. Lousto, F. García, et al.

DOI Code

Repository

torch-neural-ssm

Neural State-Space Models and Latent Dynamics Functions in PyTorch for high-dimensional forecasting.

Code

Repository

KAN-ODE

Experiments using Kolmogorov-Arnold Networks as replacement layers in neural ODEs.

Code

ICLR 2024

DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks

M. Toloubidokhti, Y. Ye, R. Missel, X. Jiang, N. Kumar, R. Shrestha, L. Wang

Paper

CinC 2023

A Comparative Analysis of Data-Driven Modelling Techniques for 30-Day Heart Failure Readmission Prediction

R. Missel, J. Raphael, C. Haggerty, D. Hartzel, J. Ruhl, B. Fornwalt

Paper

ICLR 2023

Meta-Learning Sequential Latent Variable Models (meta-sLVM)

A meta-learning variant of sequential latent variable models for improved generalization.

Paper Code

MNRAS

First Results of the Glitching Pulsar Monitoring Programme at the Argentine Institute of Radioastronomy

E. Zubieta, R. Missel, V. Sosa Fiscella, C. Lousto, et al.

Paper

Repository

torch-hypernetwork-tutorials

Hypernetwork training considerations and implementation types in PyTorch.

Code

MLMI 2022

Neural State-Space Modeling with Latent Causal-Effect Disentanglement

Disentangling causal effects in neural state-space models for interpretable forecasting.

Paper Code

Repository

pytorch-cosine-annealing-with-warmup

CosineAnnealingWarmRestarts LR scheduler with initial linear warmup and base LR decay.

Code

MNRAS

Vela Pulsar: Single Pulses Analysis with Machine Learning Techniques

Monthly Notices of the Royal Astronomical Society.

DOI

MICCAI 2021

Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling

Medical Image Computing and Computer Assisted Intervention.

DOI

Computers in Biology and Medicine

A Hybrid Machine Learning Approach to Localizing Ventricular Tachycardia

R. Missel, P. Gyawali, J. Murkute, Z. Li, S. Zhou, A. AbdelWahab, et al.

DOI Code