Poster Session 1
2022 Poster Session
in
Workshop: Tackling Climate Change with Machine Learning
in
Workshop: Tackling Climate Change with Machine Learning
Abstract
Poster sessions take place in the following Topia space: https://topia.io/neurips-2022-workshop-tccml
The links below provide access to the video presentations, Rocket.chat, direct Topia links and further materials featured on the workshop website.
Papers Track:
- Function Approximations for Reinforcement Learning Controller for Wave Energy Converters
- Image-Based Soil Organic Carbon Estimation from Multispectral Satellite Images with Fourier Neural Operator and Structural Similarity
- SolarDK: A high-resolution urban solar panel image classification and localisation dataset
- Optimizing toward efficiency for SAR image ship detection
- AutoML-based Almond Yield Prediction and Projection in California
- Attention-Based Scattering Network for Satellite Imagery
- Aboveground carbon biomass estimate with Physics-informed deep network
- Improving the predictions of ML-corrected climate models with novelty detection
- Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
- Deep learning for downscaling tropical cyclone rainfall
- Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes
- Identifying latent climate signals using sparse hierarchical Gaussian processes
- Towards dynamical stability analysis of sustainable power grids using Graph Neural Networks
- Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation
- Probabilistic forecasting of regional photovoltaic power production based on satellite-derived cloud motion
- Robustifying machine-learned algorithms for efficient grid operation
- Deep Hydrology: Hourly, Gap-Free Flood Maps Through Joint Satellite and Hydrologic Modelling
- Convolutional Neural Processes for Inpainting Satellite Images: Application to Water Body Segmentation
- A POMDP Model for Safe Geological Carbon Sequestration
- Deep Climate Change: A Dataset and Adaptive domain pre-trained Language Models for Climate Change Related Tasks
- Data-Driven Optimal Solver for Coordinating a Sustainable and Stable Power Grid
- Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
- Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes
- FIRO: A Deep-neural Network for Wildfire Forecast with Interpretable Hidden States
- Towards a spatially transferable super resolution model for downscaling Antarctic surface melt
- Forecasting European Ozone Air Pollution With Transformers
- Stability Constrained Reinforcement Learning for Real-Time Voltage Control
- Land Use Prediction using Electro-Optical to SAR Few-Shot Transfer Learning
- Exploring Randomly Wired Neural Networks for Climate Model Emulation
- SustainGym: A Benchmark Suite of Reinforcement Learning for Sustainability Applications
- Remote estimation of geologic composition using interferometric synthetic-aperture radar in California’s Central Valley
- Temperature impacts on hate speech online: evidence from four billion tweets
- Cross Modal Distillation for Flood Extent Mapping
- Transformer Neural Networks for Building Load Forecasting
- Estimating Chicago’s tree cover and canopy height using multi-spectral satellite imagery
- Reconstruction of Grid Measurements in the Presence of Adversarial Attacks
- Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble
- Identifying Compound Climate Drivers of Forest Mortality with β-VAE
- TCFD-NLP: Assessing alignment of climate disclosures using NLP for the financial markets
- Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes
- Hybrid Recurrent Neural Network for Drought Monitoring
- Deep Learning for Global Wildfire Forecasting
- Causal Modeling of Soil Processes for Improved Generalization
- Machine Learning for Activity-Based Road Transportation Emissions Estimation
- Estimating Corporate Scope 1 Emissions Using Tree-Based Machine Learning Methods
- Analyzing Micro-Level Rebound Effects of Energy Efficient Technologies
- Comparing the carbon costs and benefits of low-resource solar nowcasting
- Climate Policy Radar: Pipeline for automated analysis of public climate policies
- Inferring signatures of reinforcing ideology underlying carbon tax opposition
- Curriculum Based Reinforcement Learning to Avert Cascading Failures in the Electric Grid
- Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction
- A Multi-Scale Deep Learning Framework for Projecting Weather Extremes
- A Global Classification Model for Cities using ML
- EnhancedSD: Predicting Solar Power Reanalysis from Climate Projections via Image Super-Resolution
- Positional Encoder Graph Neural Networks for Geographic Data
- Towards Global Crop Maps with Transfer Learning
- Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) clouds
- Evaluating Digital Tools for Sustainable Agriculture using Causal Inference
- Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Flood Prediction with Graph Neural Networks
- Neural Representation of the Stratospheric Ozone Chemistry
- Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators
- Adaptive Bias Correction for Improved Subseasonal Forecast
- An Interpretable Model of Climate Change Using Correlative Learning
- Multimodal Wildland Fire Smoke Detection
- Using uncertainty-aware machine learning models to study aerosol-cloud interactions
- Accessible Large-Scale Plant Pathology Recognition
- Dynamic weights enabled Physics-Informed Neural Network for simulating the mobility of Engineered Nano Particles in a contaminated aquifer
- Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs
- Generative Modeling of High-resolution Global Precipitation Forecasts
- Continual VQA for Disaster Response Systems
- Performance evaluation of deep segmentation models on Landsat-8 imagery
Proposals Track:
Chat is not available.
Successful Page Load