activity
20182023
most citedForecast-Aware Model Driven LSTM

3 citations · 8 across the 6 of their papers we have counts for

collaborators

7 papers

physics.ao-ph2023

Tipping points in overturning circulation mediated by ocean mixing and the configuration and magnitude of the hydrological cycle: A simple model

Anand Gnanadesikan, Gianluca Fabiani, Jingwen Liu +7

The current configuration of the ocean overturning involves upwelling predominantly in the Southern Ocean and sinking predominantly in the Atlantic basin. The reasons for this rema…

cs.LG2023

Neuro-Symbolic Bi-Directional Translation -- Deep Learning Explainability for Climate Tipping Point Research

Chace Ashcraft, Jennifer Sleeman, Caroline Tang +2

In recent years, there has been an increase in using deep learning for climate and weather modeling. Though results have been impressive, explainability and interpretability of dee…

cs.LG2023★ 3 cited

Forecast-Aware Model Driven LSTM

Sophia Hamer, Jennifer Sleeman, Ivanka Stajner

Poor air quality can have a significant impact on human health. The National Oceanic and Atmospheric Administration (NOAA) air quality forecasting guidance is challenged by the inc…

cs.LG2023★ 3 cited

A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN)

Jennifer Sleeman, David Chung, Anand Gnanadesikan +10

We propose a new Tipping Point Generative Adversarial Network (TIP-GAN) for better characterizing potential climate tipping points in Earth system models. We describe an adversaria…

cs.AI2023★ 2 cited

Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points

Jennifer Sleeman, David Chung, Chace Ashcraft +10

We propose a hybrid Artificial Intelligence (AI) climate modeling approach that enables climate modelers in scientific discovery using a climate-targeted simulation methodology bas…

quant-ph2020

A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning

Jennifer Sleeman, John Dorband, Milton Halem

Understanding how the D-Wave quantum computer could be used for machine learning problems is of growing interest. Our work evaluates the feasibility of using the D-Wave as a sample…

cs.CL2018

Ontology-Grounded Topic Modeling for Climate Science Research

Jennifer Sleeman, Tim Finin, Milton Halem

In scientific disciplines where research findings have a strong impact on society, reducing the amount of time it takes to understand, synthesize and exploit the research is invalu…