Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristicsby Hongyu Liu,…
Bootstrapping Language Models with DPO Implicit Rewardsby Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang,…
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approachby Gang Hu,…
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusionby Anke Tang, Li…
DeltaPhi: Learning Physical Trajectory Residual for PDE Solvingby Xihang Yue, Linchao Zhu, Yi YangFirst submitted…
A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics…
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarksby…
Mitigating over-exploration in latent space optimization using LESby Omer Ronen, Ahmed Imtiaz Humayun, Richard Baraniuk,…
Rethinking Score Distillation as a Bridge Between Image Distributionsby David McAllister, Songwei Ge, Jia-Bin Huang,…
Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scaleby A. Feder CooperFirst…