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ClimaX: A Foundation Model for Weather and Climate
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Learning to Optimize Non-Convex Sum-Rate Maximization Problems
Qingyu Song, Guochen Liu, Hong Xu
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Task-Linear Deep Representation of Physical Systems
Matthieu Blanke, Marc Lelarge
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Good Lattice Accelerates Physics-Informed Neural Networks
Takashi Matsubara, Takaharu Yaguchi
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Predicting Properties of Amorphous Solids with Graph Network Potentials
Muratahan Aykol, Jennifer N. Wei, Simon Batzner, Amil Merchant, Ekin Dogus Cubuk
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Exploring the Existence of Atmospheric Blocking’s Precursor Patterns with Physics-Informed Explainable AI
Anh N Nhu, Lei Wang
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Physics-Informed Neural Operator for Coupled Forward-Backward Partial Differential Equations
Xu Chen, Yongjie FU, Shuo Liu, Xuan Di
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Evaluating the diversity and utility of materials proposed by generative models
Alexander New, Michael Pekala, Elizabeth A Pogue, Nam Q Le, Janna Domenico, Christine D. Piatko, Christopher D Stiles
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Unbinned Profiled Unfolding
Jay Chan, Benjamin Nachman
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
An $\mathcal{A}$-adaptive Loop Unrolled Architecture for Solving Inverse Problems with Forward Model Mismatch
Peimeng Guan, Naveed Iqbal, Mark A. Davenport, Mudassir Masood
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Using machine learning and 3D geophysical modelling for mineral exploration
Gerrit Olivier
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback
Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Physics-Constrained Random Forests for Turbulence Model Uncertainty Estimation
Marcel Matha
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Understanding the Efficacy of U-Net & Vision Transformer for Groundwater Numerical Modelling
Maria Luisa Taccari, Oded Ovadia, He Wang, Xiaohui Chen, Adar Kahana, Peter Jimack
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Infinite-Fidelity Surrogate Learning via High-order Gaussian Processes
Shibo Li, Li Shi, Shandian Zhe
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Simulation-based Inference with the Generalized Kullback-Leibler Divergence
Benjamin Kurt Miller, Marco Federici, Christoph Weniger, Patrick Forré
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Combining Thermodynamics-based Model of the Centrifugal Compressors and Active Machine Learning for Enhanced Industrial Design Optimization
Shadi Ghiasi, Guido Pazzi, Concettina Del Grosso, Giovanni De Magistris, Giacomo Veneri
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Learning Green's Function Efficiently Using Low-Rank Approximations
Kishan Wimalawarne, Taiji Suzuki, Sophie Langer
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Predicting the stabilization quantity with neural networks for Singularly Perturbed Partial Differential Equations
Sangeeta Yadav
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Reinstating Continuous Climate Patterns From Small and Discretized Data
Xihaier Luo, Xiaoning Qian, Nathan Urban, Byung-Jun Yoon
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Repurposing Density Functional Theory to Suit Deep Learning
Alexander Mathiasen, Hatem Helal, Paul Balanca, Kerstin Klaeser, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew W Fitzgibbon, Dominic Masters
- Published: 28 Jul 2023, Last Modified: 27 Jun 2024
- SynS & ML @ ICML2023
- Readers: Everyone
A Machine Learning Pressure Emulator for Hydrogen Embrittlement
Minh Chau, João Lucas de Sousa Almeida, Elie Alhajjar, Alberto Costa Nogueira Jr
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics
Victoriya Kashtanova, Maxime Sermesant, patrick gallinari
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
OL-Transformer: A Fast and Universal Surrogate Simulator for Optical Multilayer Thin Film Structures
Taigao Ma, Haozhu Wang, L. Jay Guo
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone
Meta-Learning Deep Kernels for Latent Force Inference
Jacob Moss, Felix Opolka, Jeremy England, Pietro Lio
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- SynS & ML @ ICML2023
- Readers: Everyone

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