Summary of Cluster-norm For Unsupervised Probing Of Knowledge, by Walter Laurito et al.
Cluster-norm for Unsupervised Probing of Knowledgeby Walter Laurito, Sharan Maiya, Grégoire Dhimoïla, Owen, Yeung, Kaarel…
Summary of Finite Neural Networks As Mixtures Of Gaussian Processes: From Provable Error Bounds to Prior Selection, by Steven Adams et al.
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selectionby…
Summary of Llasp: Fine-tuning Large Language Models For Answer Set Programming, by Erica Coppolillo et al.
LLASP: Fine-tuning Large Language Models for Answer Set Programmingby Erica Coppolillo, Francesco Calimeri, Giuseppe Manco,…
Summary of Fairaied: Navigating Fairness, Bias, and Ethics in Educational Ai Applications, by Sribala Vidyadhari Chinta et al.
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applicationsby Sribala Vidyadhari Chinta, Zichong Wang,…
Summary of Learning Production Functions For Supply Chains with Graph Neural Networks, by Serina Chang et al.
Learning production functions for supply chains with graph neural networksby Serina Chang, Zhiyin Lin, Benjamin…
Summary of Flue: Federated Learning with Un-encrypted Model Weights, by Elie Atallah
FLUE: Federated Learning with Un-Encrypted model weightsby Elie AtallahFirst submitted to arxiv on: 26 Jul…
Summary of Unsupervised Reservoir Computing For Multivariate Denoising Of Severely Contaminated Signals, by Jaesung Choi and Pilwon Kim
Unsupervised Reservoir Computing for Multivariate Denoising of Severely Contaminated Signalsby Jaesung Choi, Pilwon KimFirst submitted…
Summary of Predicting 3d Rigid Body Dynamics with Deep Residual Network, by Abiodun Finbarrs Oketunji
Predicting 3D Rigid Body Dynamics with Deep Residual Networkby Abiodun Finbarrs OketunjiFirst submitted to arxiv…
Summary of Log-concave Coupling For Sampling Neural Net Posteriors, by Curtis Mcdonald and Andrew R Barron
Log-Concave Coupling for Sampling Neural Net Posteriorsby Curtis McDonald, Andrew R BarronFirst submitted to arxiv…
Summary of When Narrower Is Better: the Narrow Width Limit Of Bayesian Parallel Branching Neural Networks, by Zechen Zhang et al.
When narrower is better: the narrow width limit of Bayesian parallel branching neural networksby Zechen…