ICLR 2023

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54 Results

Poster		Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms Linbo Liu · Youngsuk Park · Nghia Hoang · Hilaf Hasson · Jun Huan
Workshop		BurnMD: A Fire Projection and Mitigation Modeling Dataset Marissa Dotter · Tim Welsh · Savanna Smith · Lauren Schambach
Poster	Mon 7:30	CUTS: Neural Causal Discovery from Irregular Time-Series Data Yuxiao Cheng · Runzhao Yang · Tingxiong Xiao · Zongren Li · Jinli Suo · Kunlun He · Qionghai Dai
Workshop		Robustly modeling the nonlinear impact of climate change on agriculture by combining econometrics and machine learning Benedetta Francesconi · Ying-Jung Deweese
Workshop		Topology Estimation from Voltage Edge Sensing for Resource-Constrained Grids Mohini Bariya · Margaret Odero · Margaret Odero · Clare-Joyce Fomonyuy Ngoran
Workshop		Chasing Low-Carbon Electricity for Practical and Sustainable DNN Training Zhenning Yang · Luoxi Meng · Jae-Won Chung · Mosharaf Chowdhury
Workshop		Attention-based Domain Adaption Forecasting of Streamflow in Data Sparse Regions Roland Oruche · Fearghal O'Donncha
Workshop		Smart Meter Data Analytics: Practical Use-Cases and Best Practices of Machine Learning Applications for Energy Data in the Residential Sector Tobias Brudermueller · Markus Kreft
Workshop		Projecting the climate penalty on pm2.5 pollution with spatial deep learning Mauricio Tec · Riccardo Cadei · Francesca Dominici · Corwin Zigler
Workshop		CityLearn Workshop Kingsley Nweye · Zoltan Nagy
Poster	Wed 2:30	Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting Mohammad Amin Shabani · Amir Abdi · Lili Meng · Tristan Sylvain
Workshop		Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool Alban Puech · Jesse Read