Summary of Brain-to-text Benchmark ’24: Lessons Learned, by Francis R. Willett et al.
Brain-to-Text Benchmark ’24: Lessons Learnedby Francis R. Willett, Jingyuan Li, Trung Le, Chaofei Fan, Mingfei…
Summary of Solving Nonlinear Energy Supply and Demand System Using Physics-informed Neural Networks, by Van Truong Vo et al.
Solving Nonlinear Energy Supply and Demand System Using Physics-Informed Neural Networksby Van Truong Vo, Samad…
Summary of Coupling Neural Networks and Physics Equations For Li-ion Battery State-of-charge Prediction, by Giovanni Pollo et al.
Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Predictionby Giovanni Pollo, Alessio Burrello,…
Summary of Symplectic Neural Flows For Modeling and Discovery, by Priscilla Canizares et al.
Symplectic Neural Flows for Modeling and Discoveryby Priscilla Canizares, Davide Murari, Carola-Bibiane Schönlieb, Ferdia Sherry,…
Summary of High-dimensional Bayesian Optimization Via Random Projection Of Manifold Subspaces, by Quoc-anh Hoang Nguyen et al.
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspacesby Quoc-Anh Hoang Nguyen, Hung TranFirst submitted…
Summary of Learn2mix: Training Neural Networks Using Adaptive Data Integration, by Shyam Venkatasubramanian et al.
Learn2Mix: Training Neural Networks Using Adaptive Data Integrationby Shyam Venkatasubramanian, Vahid TarokhFirst submitted to arxiv…
Summary of Know2vec: a Black-box Proxy For Neural Network Retrieval, by Zhuoyi Shang et al.
Know2Vec: A Black-Box Proxy for Neural Network Retrievalby Zhuoyi Shang, Yanwei Liu, Jinxia Liu, Xiaoyan…
Summary of Saliency Methods Are Encoders: Analysing Logical Relations Towards Interpretation, by Leonid Schwenke et al.
Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretationby Leonid Schwenke, Martin AtzmuellerFirst submitted to…
Summary of Algorithmic Strategies For Sustainable Reuse Of Neural Network Accelerators with Permanent Faults, by Youssef A. Ait Alama et al.
Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faultsby Youssef A. Ait…
Summary of Ef-net: a Deep Learning Approach Combining Word Embeddings and Feature Fusion For Patient Disposition Analysis, by Nafisa Binte Feroz et al.
EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysisby…