Respiratory motion forecasting with online learning of recurrent neural networks for safety enhancement in externally…
Blue and Green-Mode Energy-Efficient Nanoparticle-Based Chemiresistive Sensor Array Realized by Rapid Ensemble Learningby Zeheng Wang,…
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Modelsby Neta Shaul, Uriel Singer,…
Parallel Momentum Methods Under Biased Gradient Estimationsby Ali Beikmohammadi, Sarit Khirirat, Sindri MagnússonFirst submitted to…
Pivoting Retail Supply Chain with Deep Generative Techniques: Taxonomy, Survey and Insightsby Yuan Wang, Lokesh…
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmissionby Zeling Zhang, Dongqi Cai, Yiran Zhang,…
The Algorithm Configuration Problemby Gabriele Iommazzo, Claudia D'Ambrosio, Antonio Frangioni, Leo LibertiFirst submitted to arxiv…
Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithmsby Toki Tahmid…
Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rateby Yifan…
Epsilon-Greedy Thompson Sampling to Bayesian Optimizationby Bach Do, Taiwo Adebiyi, Ruda ZhangFirst submitted to arxiv…