Summary of Reassessing How to Compare and Improve the Calibration Of Machine Learning Models, by Muthu Chidambaram and Rong Ge
Reassessing How to Compare and Improve the Calibration of Machine Learning Modelsby Muthu Chidambaram, Rong…
Summary of Bisimulation Metrics Are Optimal Transport Distances, and Can Be Computed Efficiently, by Sergio Calo et al.
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficientlyby Sergio Calo, Anders Jonsson,…
Summary of Batch-in-batch: a New Adversarial Training Framework For Initial Perturbation and Sample Selection, by Yinting Wu (1) et al.
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selectionby Yinting Wu, Pai…
Summary of Amortized Equation Discovery in Hybrid Dynamical Systems, by Yongtuo Liu et al.
Amortized Equation Discovery in Hybrid Dynamical Systemsby Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios GavvesFirst…
Summary of How Does Inverse Rl Scale to Large State Spaces? a Provably Efficient Approach, by Filippo Lazzati et al.
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approachby Filippo Lazzati,…
Summary of Predictability Analysis Of Regression Problems Via Conditional Entropy Estimations, by Yu-hsueh Fang and Chia-yen Lee
Predictability Analysis of Regression Problems via Conditional Entropy Estimationsby Yu-Hsueh Fang, Chia-Yen LeeFirst submitted to…
Summary of Subspace Clustering in Wavelet Packets Domain, by Ivica Kopriva and Damir Sersic
Subspace Clustering in Wavelet Packets Domainby Ivica Kopriva, Damir SersicFirst submitted to arxiv on: 6…
Summary of Open Problem: Active Representation Learning, by Nikola Milosevic et al.
Open Problem: Active Representation Learningby Nikola Milosevic, Gesine Müller, Jan Huisken, Nico ScherfFirst submitted to…
Summary of Talos: a More Effective and Efficient Adversarial Defense For Gnn Models Based on the Global Homophily Of Graphs, by Duanyu Li et al.
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global…
Summary of A Noise-robust Multi-head Attention Mechanism For Formation Resistivity Prediction: Frequency Aware Lstm, by Yongan Zhang et al.
A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTMby Yongan Zhang, Junfeng…