Projects in Awesome Lists by Rose-STL-Lab

Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efﬁcient, non-parametric inference of point process. It is capable of learning complicated underlying intensity functions, like a damped sine wave.

probablistic-machine-learning spatiotemporal-data-analysis

Last synced: 05 Mar 2026

https://github.com/rose-stl-lab/teleportation-optimization

[ICLR 2024] Improving Convergence and Generalization Using Parameter Symmetries

Last synced: 09 May 2025

https://github.com/rose-stl-lab/mcd

Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"

Last synced: 09 May 2025

https://github.com/rose-stl-lab/spatiotemporal_uq

Uncertainty Quantification for Deep Spatiotemporal Forecasting

Last synced: 09 May 2025

https://github.com/rose-stl-lab/anomllm

Last synced: 10 Apr 2025

https://github.com/rose-stl-lab/v2v-traffic-forecast

L4DC2021 code repository

Last synced: 03 Jul 2025

https://github.com/rose-stl-lab/fs-cap

few-shot compound activity regression

Last synced: 13 Jun 2025

https://github.com/rose-stl-lab/autoode-dsl

Last synced: 09 May 2025

https://github.com/rose-stl-lab/approximately-equivariant-nets

Last synced: 09 May 2025

https://github.com/rose-stl-lab/mrtl

Multiresolution Tensor Learning

Last synced: 09 May 2025

https://github.com/rose-stl-lab/multi-fidelity-deep-active-learning

Last synced: 15 Oct 2025

https://github.com/rose-stl-lab/lab-wiki

Knowledge Sharing

Last synced: 23 Feb 2025

https://github.com/rose-stl-lab/symmetry-ode-discovery

Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.

Last synced: 15 Apr 2025

https://github.com/rose-stl-lab/zihao-s-toolbox

A toolbox of shared utilities across different projects.

Last synced: 14 Jul 2025

https://github.com/rose-stl-lab/symmetry-teleportation

[NeurIPS 2022] Symmetry Teleportation for Accelerated Optimization

Last synced: 09 May 2025

https://github.com/rose-stl-lab/laligan

Latent Space Symmetry Discovery.

Last synced: 09 May 2025

https://github.com/rose-stl-lab/hierarchical-neural-processes

Last synced: 09 May 2025

https://github.com/rose-stl-lab/pecco

Probabilistic Equivariant Continuous COnvolution

Last synced: 10 Apr 2025

https://github.com/rose-stl-lab/nautilus_tutorial

Last synced: 10 Apr 2025

https://github.com/rose-stl-lab/interactive-neural-process

Last synced: 18 Jul 2025

https://github.com/rose-stl-lab/autonpp

Efficient computation of temporal point process intensity using automatic integration

Last synced: 02 Jul 2025

https://github.com/rose-stl-lab/dive

Disentangled Imputed Video autoEncoder (DIVE)

Last synced: 09 May 2025

https://github.com/rose-stl-lab/ir2rgb

IR to RGB video translation

Last synced: 10 Apr 2025

https://github.com/rose-stl-lab/gradient-flow-symmetry

[ICLR 2023] Symmetries, flat minima, and the conserved quantities of gradient flow

Last synced: 10 Apr 2025

https://github.com/rose-stl-lab/bige

BIGE is a framework for generative models to adhere to clinician-defined constraints. To generate realistic motion, our method uses a biomechanically informed surrogate model to guide the generation process..

Last synced: 04 Oct 2025