Summary of Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules, by Paul Hofman et al.
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rulesby Paul Hofman, Yusuf Sale, Eyke HüllermeierFirst…
Summary of Neural Networks with Causal Graph Constraints: a New Approach For Treatment Effects Estimation, by Roger Pros et al.
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimationby Roger Pros,…
Summary of Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-centered Models, by Israel A. Laurensi et al.
Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Modelsby Israel A. Laurensi, Alceu de…
Summary of Investigating Guiding Information For Adaptive Collocation Point Sampling in Pinns, by Jose Florido et al.
Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNsby Jose Florido, He Wang, Amirul…
Summary of Singular-limit Analysis Of Gradient Descent with Noise Injection, by Anna Shalova et al.
Singular-limit analysis of gradient descent with noise injectionby Anna Shalova, André Schlichting, Mark PeletierFirst submitted…
Summary of Fastvpinns: Tensor-driven Acceleration Of Vpinns For Complex Geometries, by Thivin Anandh et al.
FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometriesby Thivin Anandh, Divij Ghose, Himanshu Jain, Sashikumaar…
Summary of One-shot Sequential Federated Learning For Non-iid Data by Enhancing Local Model Diversity, By Naibo Wang et al.
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversityby Naibo Wang, Yuchen…
Summary of Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models, by Shivvrat Arya et al.
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Modelsby Shivvrat Arya,…
Summary of End-to-end Mesh Optimization Of a Hybrid Deep Learning Black-box Pde Solver, by Shaocong Ma et al.
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solverby Shaocong Ma, James Diffenderfer,…
Summary of When Are Foundation Models Effective? Understanding the Suitability For Pixel-level Classification Using Multispectral Imagery, by Yiqun Xie et al.
When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imageryby Yiqun…