Summary of Visymre: Vision-guided Multimodal Symbolic Regression, by Da Li et al.
ViSymRe: Vision-guided Multimodal Symbolic Regressionby Da Li, Junping Yin, Jin Xu, Xinxin Li, Juan ZhangFirst…
Summary of Apar: Modeling Irregular Target Functions in Tabular Regression Via Arithmetic-aware Pre-training and Adaptive-regularized Fine-tuning, by Hong-wei Wu et al.
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuningby Hong-Wei…
Summary of Disco-dso: Coupling Discrete and Continuous Optimization For Efficient Generative Design in Hybrid Spaces, by Jacob F. Pettit et al.
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spacesby Jacob F.…
Summary of Task Diversity in Bayesian Federated Learning: Simultaneous Processing Of Classification and Regression, by Junliang Lyu et al.
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regressionby Junliang Lyu, Yixuan…
Summary of Buzz to Broadcast: Predicting Sports Viewership Using Social Media Engagement, by Anakin Trotter
Buzz to Broadcast: Predicting Sports Viewership Using Social Media Engagementby Anakin TrotterFirst submitted to arxiv…
Summary of Data-driven Transfer Learning Framework For Estimating Turning Movement Counts, by Xiaobo Ma et al.
Data-Driven Transfer Learning Framework for Estimating Turning Movement Countsby Xiaobo Ma, Hyunsoo Noh, Ryan Hatch,…
Summary of Infinite-dimensional Next-generation Reservoir Computing, by Lyudmila Grigoryeva et al.
Infinite-dimensional next-generation reservoir computingby Lyudmila Grigoryeva, Hannah Lim Jing Ting, Juan-Pablo OrtegaFirst submitted to arxiv…
Summary of Distribution Free Uncertainty Quantification in Neuroscience-inspired Deep Operators, by Shailesh Garg and Souvik Chakraborty
Distribution free uncertainty quantification in neuroscience-inspired deep operatorsby Shailesh Garg, Souvik ChakrabortyFirst submitted to arxiv…
Summary of Hybrid Variable Spiking Graph Neural Networks For Energy-efficient Scientific Machine Learning, by Isha Jain and Shailesh Garg and Shaurya Shriyam and Souvik Chakraborty
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learningby Isha Jain, Shailesh Garg,…
Summary of Fawac: Feasibility Informed Advantage Weighted Regression For Persistent Safety in Offline Reinforcement Learning, by Prajwal Koirala et al.
FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learningby Prajwal Koirala,…