Summary of Simplifying Latent Dynamics with Softly State-invariant World Models, by Tankred Saanum et al.
Simplifying Latent Dynamics with Softly State-Invariant World Modelsby Tankred Saanum, Peter Dayan, Eric SchulzFirst submitted…
Summary of A Cross-view Hierarchical Graph Learning Hypernetwork For Skill Demand-supply Joint Prediction, by Wenshuo Chao et al.
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Predictionby Wenshuo Chao, Zhaopeng Qiu,…
Summary of Manipulating Predictions Over Discrete Inputs in Machine Teaching, by Xiaodong Wu et al.
Manipulating Predictions over Discrete Inputs in Machine Teachingby Xiaodong Wu, Yufei Han, Hayssam Dahrouj, Jianbing…
Summary of Step-size Optimization For Continual Learning, by Thomas Degris et al.
Step-size Optimization for Continual Learningby Thomas Degris, Khurram Javed, Arsalan Sharifnassab, Yuxin Liu, Richard SuttonFirst…
Summary of Solving Boltzmann Optimization Problems with Deep Learning, by Fiona Knoll et al.
Solving Boltzmann Optimization Problems with Deep Learningby Fiona Knoll, John T. Daly, Jess J. MeyerFirst…
Summary of Through-wall Imaging Based on Wifi Channel State Information, by Julian Strohmayer et al.
Through-Wall Imaging based on WiFi Channel State Informationby Julian Strohmayer, Rafael Sterzinger, Christian Stippel, Martin…
Summary of Can Llms Replace Economic Choice Prediction Labs? the Case Of Language-based Persuasion Games, by Eilam Shapira et al.
Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Gamesby Eilam Shapira,…
Summary of Superiority Of Multi-head Attention in In-context Linear Regression, by Yingqian Cui et al.
Superiority of Multi-Head Attention in In-Context Linear Regressionby Yingqian Cui, Jie Ren, Pengfei He, Jiliang…
Summary of Liquid Democracy For Low-cost Ensemble Pruning, by Ben Armstrong et al.
Liquid Democracy for Low-Cost Ensemble Pruningby Ben Armstrong, Kate LarsonFirst submitted to arxiv on: 30…
Summary of Rendering Wireless Environments Useful For Gradient Estimators: a Zero-order Stochastic Federated Learning Method, by Elissa Mhanna and Mohamad Assaad
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Methodby Elissa Mhanna,…