Summary of Proximity Matters: Local Proximity Preserved Balancing For Treatment Effect Estimation, by Hao Wang et al.
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimationby Hao Wang, Zhichao Chen, Yuan…
Summary of Calibrated Large Language Models For Binary Question Answering, by Patrizio Giovannotti and Alexander Gammerman
Calibrated Large Language Models for Binary Question Answeringby Patrizio Giovannotti, Alexander GammermanFirst submitted to arxiv…
Summary of Eliminating Position Bias Of Language Models: a Mechanistic Approach, by Ziqi Wang et al.
Eliminating Position Bias of Language Models: A Mechanistic Approachby Ziqi Wang, Hanlin Zhang, Xiner Li,…
Summary of Enabling Mixed Effects Neural Networks For Diverse, Clustered Data Using Monte Carlo Methods, by Andrej Tschalzev et al.
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methodsby Andrej Tschalzev,…
Summary of Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning, by Abdulaziz Alwalan et al.
Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learningby Abdulaziz Alwalan, Miguel Arana-CataniaFirst submitted…
Summary of Cpt: Consistent Proxy Tuning For Black-box Optimization, by Yuanyang He et al.
CPT: Consistent Proxy Tuning for Black-box Optimizationby Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow…
Summary of Unaligning Everything: or Aligning Any Text to Any Image in Multimodal Models, by Shaeke Salman et al.
Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Modelsby Shaeke Salman, Md…
Summary of Benchmarking Predictive Coding Networks — Made Simple, by Luca Pinchetti and Chang Qi and Oleh Lokshyn and Gaspard Olivers and Cornelius Emde and Mufeng Tang and Amine M’charrak and Simon Frieder and Bayar Menzat and Rafal Bogacz and Thomas Lukasiewicz and Tommaso Salvatori
Benchmarking Predictive Coding Networks – Made Simpleby Luca Pinchetti, Chang Qi, Oleh Lokshyn, Gaspard Olivers,…
Summary of Neural Conditional Probability For Inference, by Vladimir R. Kostic et al.
Neural Conditional Probability for Inferenceby Vladimir R. Kostic, Karim Lounici, Gregoire Pacreau, Pietro Novelli, Giacomo…
Summary of A Learned Generalized Geodesic Distance Function-based Approach For Node Feature Augmentation on Graphs, by Amitoz Azad and Yuan Fang
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphsby Amitoz Azad,…