Summary of Simultaneous Weight and Architecture Optimization For Neural Networks, by Zitong Huang et al.
Simultaneous Weight and Architecture Optimization for Neural Networksby Zitong Huang, Mansooreh Montazerin, Ajitesh SrivastavaFirst submitted…
Summary of Poison-splat: Computation Cost Attack on 3d Gaussian Splatting, by Jiahao Lu et al.
Poison-splat: Computation Cost Attack on 3D Gaussian Splattingby Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao…
Summary of Features Are Fate: a Theory Of Transfer Learning in High-dimensional Regression, by Javan Tahir et al.
Features are fate: a theory of transfer learning in high-dimensional regressionby Javan Tahir, Surya Ganguli,…
Summary of On the Convergence Of (stochastic) Gradient Descent For Kolmogorov–arnold Networks, by Yihang Gao et al.
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov–Arnold Networksby Yihang Gao, Vincent Y. F.…
Summary of Gaussian Process Thompson Sampling Via Rootfinding, by Taiwo A. Adebiyi and Bach Do and Ruda Zhang
Gaussian Process Thompson Sampling via Rootfindingby Taiwo A. Adebiyi, Bach Do, Ruda ZhangFirst submitted to…
Summary of Efficient Reinforcement Learning with Large Language Model Priors, by Xue Yan et al.
Efficient Reinforcement Learning with Large Language Model Priorsby Xue Yan, Yan Song, Xidong Feng, Mengyue…
Summary of Offline Hierarchical Reinforcement Learning Via Inverse Optimization, by Carolin Schmidt et al.
Offline Hierarchical Reinforcement Learning via Inverse Optimizationby Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone,…
Summary of Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations, by Stephen Carrow et al.
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanationsby Stephen Carrow, Kyle Harper…
Summary of Addressing Rotational Learning Dynamics in Multi-agent Reinforcement Learning, by Baraah A. M. Sidahmed et al.
Addressing Rotational Learning Dynamics in Multi-Agent Reinforcement Learningby Baraah A. M. Sidahmed, Tatjana ChavdarovaFirst submitted…
Summary of Doob’s Lagrangian: a Sample-efficient Variational Approach to Transition Path Sampling, by Yuanqi Du et al.
Doob’s Lagrangian: A Sample-Efficient Variational Approach to Transition Path Samplingby Yuanqi Du, Michael Plainer, Rob…