Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization…
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Modelsby Guangji Bai, Zheng Chai, Chen…
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Trainingby Yequan Zhao, Xian Xiao, Xinling…
Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approachby Chenxi Zhao,…
On Learning for Ambiguous Chance Constrained Problemsby A Ch Madhusudanarao, Rahul SinghFirst submitted to arxiv…
Policy Optimization with Smooth Guidance Learned from State-Only Demonstrationsby Guojian Wang, Faguo Wu, Xiao Zhang,…
A Novel Explanation Against Linear Neural Networksby Anish LakkapragadaFirst submitted to arxiv on: 30 Dec…
Deep Generative Symbolic Regressionby Samuel Holt, Zhaozhi Qian, Mihaela van der SchaarFirst submitted to arxiv…
Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actionsby Yinglun Xu, Tarun Suresh, Rohan Gumaste, David…
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noiseby Shaan Ul Haque,…