Summary of Feature Mapping in Physics-informed Neural Networks (pinns), by Chengxi Zeng et al.
Feature Mapping in Physics-Informed Neural Networks (PINNs)by Chengxi Zeng, Tilo Burghardt, Alberto M GambarutoFirst submitted…
Summary of Deepcover: Advancing Rnn Test Coverage and Online Error Prediction Using State Machine Extraction, by Pouria Golshanrad and Fathiyeh Faghih
DeepCover: Advancing RNN Test Coverage and Online Error Prediction using State Machine Extractionby Pouria Golshanrad,…
Summary of Contextual Stochastic Vehicle Routing with Time Windows, by Breno Serrano et al.
Contextual Stochastic Vehicle Routing with Time Windowsby Breno Serrano, Alexandre M. Florio, Stefan Minner, Maximilian…
Summary of Event-keyed Summarization, by William Gantt and Alexander Martin and Pavlo Kuchmiichuk and Aaron Steven White
Event-Keyed Summarizationby William Gantt, Alexander Martin, Pavlo Kuchmiichuk, Aaron Steven WhiteFirst submitted to arxiv on:…
Summary of In-context Data Distillation with Tabpfn, by Junwei Ma et al.
In-Context Data Distillation with TabPFNby Junwei Ma, Valentin Thomas, Guangwei Yu, Anthony CateriniFirst submitted to…
Summary of Hypernetwork-driven Model Fusion For Federated Domain Generalization, by Marc Bartholet et al.
Hypernetwork-Driven Model Fusion for Federated Domain Generalizationby Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun,…
Summary of Guided Sketch-based Program Induction by Search Gradients, By Ahmad Ayaz Amin
Guided Sketch-Based Program Induction by Search Gradientsby Ahmad Ayaz AminFirst submitted to arxiv on: 10…
Summary of Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement Of Utility-privacy Trade-off, by Yuecheng Li et al.
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-offby Yuecheng Li,…
Summary of A Change Detection Reality Check, by Isaac Corley et al.
A Change Detection Reality Checkby Isaac Corley, Caleb Robinson, Anthony OrtizFirst submitted to arxiv on:…
Summary of Informativeness Of Reward Functions in Reinforcement Learning, by Rati Devidze et al.
Informativeness of Reward Functions in Reinforcement Learningby Rati Devidze, Parameswaran Kamalaruban, Adish SinglaFirst submitted to…