Summary of Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning, by Danilo Comminiello et al.
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learningby Danilo Comminiello, Eleonora Grassucci, Danilo P.…
Summary of Llms and the Future Of Chip Design: Unveiling Security Risks and Building Trust, by Zeng Wang et al.
LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trustby Zeng Wang,…
Summary of Predictive Modeling in the Reservoir Kernel Motif Space, by Peter Tino et al.
Predictive Modeling in the Reservoir Kernel Motif Spaceby Peter Tino, Robert Simon Fong, Roberto Fabio…
Summary of Learning Flame Evolution Operator Under Hybrid Darrieus Landau and Diffusive Thermal Instability, by Rixin Yu et al.
Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instabilityby Rixin Yu, Erdzan…
Summary of Data-efficient and Robust Task Selection For Meta-learning, by Donglin Zhan and James Anderson
Data-Efficient and Robust Task Selection for Meta-Learningby Donglin Zhan, James AndersonFirst submitted to arxiv on:…
Summary of Decoding Cognitive Health Using Machine Learning: a Comprehensive Evaluation For Diagnosis Of Significant Memory Concern, by M. Sajid et al.
Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concernby…
Summary of Auditing An Automatic Grading Model with Deep Reinforcement Learning, by Aubrey Condor et al.
Auditing an Automatic Grading Model with deep Reinforcement Learningby Aubrey Condor, Zachary PardosFirst submitted to…
Summary of Diffusion Models As Probabilistic Neural Operators For Recovering Unobserved States Of Dynamical Systems, by Katsiaryna Haitsiukevich et al.
Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systemsby Katsiaryna Haitsiukevich,…
Summary of Context Neural Networks: a Scalable Multivariate Model For Time Series Forecasting, by Abishek Sriramulu et al.
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecastingby Abishek Sriramulu, Christoph Bergmeir,…
Summary of Edge Intelligence Optimization For Large Language Model Inference with Batching and Quantization, by Xinyuan Zhang et al.
Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantizationby Xinyuan Zhang, Jiang…