Summary of Bayesian Federated Model Compression For Communication and Computation Efficiency, by Chengyu Xia et al.
Bayesian Federated Model Compression for Communication and Computation Efficiencyby Chengyu Xia, Danny H. K. Tsang,…
Summary of Divide, Conquer, Combine Bayesian Decision Tree Sampling, by Jodie A. Cochrane et al.
Divide, Conquer, Combine Bayesian Decision Tree Samplingby Jodie A. Cochrane, Adrian Wills, Sarah J. JohnsonFirst…
Summary of Predictive, Scalable and Interpretable Knowledge Tracing on Structured Domains, by Hanqi Zhou et al.
Predictive, scalable and interpretable knowledge tracing on structured domainsby Hanqi Zhou, Robert Bamler, Charley M.…
Summary of Scalable Spatiotemporal Prediction with Bayesian Neural Fields, by Feras Saad et al.
Scalable Spatiotemporal Prediction with Bayesian Neural Fieldsby Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton,…
Summary of Joint Parameter and Parameterization Inference with Uncertainty Quantification Through Differentiable Programming, by Yongquan Qu et al.
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programmingby Yongquan Qu, Mohamed Aziz…
Summary of A Prediction Rigidity Formalism For Low-cost Uncertainties in Trained Neural Networks, by Filippo Bigi et al.
A prediction rigidity formalism for low-cost uncertainties in trained neural networksby Filippo Bigi, Sanggyu Chong,…
Summary of Pragmatic Instruction Following and Goal Assistance Via Cooperative Language-guided Inverse Planning, by Tan Zhi-xuan et al.
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planningby Tan Zhi-Xuan, Lance Ying,…
Summary of Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization For Time Series Process Optimization, by Vispi Karkaria et al.
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time…
Summary of Accelerating Convergence Of Stein Variational Gradient Descent Via Deep Unfolding, by Yuya Kawamura and Satoshi Takabe
Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfoldingby Yuya Kawamura, Satoshi TakabeFirst submitted…
Summary of Regularization by Denoising: Bayesian Model and Langevin-within-split Gibbs Sampling, By Elhadji C. Faye et al.
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs samplingby Elhadji C. Faye, Mame Diarra Fall,…