Summary of Isoperimetry Is All We Need: Langevin Posterior Sampling For Rl with Sublinear Regret, by Emilio Jorge et al.
Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regretby Emilio Jorge,…
Summary of Dual-space Augmented Intrinsic-lora For Wind Turbine Segmentation, by Shubh Singhal et al.
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentationby Shubh Singhal, Raül Pérez-Gonzalo, Andreas Espersen, Antonio AgudoFirst…
Summary of Enhancing Annotated Bibliography Generation with Llm Ensembles, by Sergio Bermejo
Enhancing Annotated Bibliography Generation with LLM Ensemblesby Sergio BermejoFirst submitted to arxiv on: 30 Dec…
Summary of Rethinking Aleatoric and Epistemic Uncertainty, by Freddie Bickford Smith et al.
Rethinking Aleatoric and Epistemic Uncertaintyby Freddie Bickford Smith, Jannik Kossen, Eleanor Trollope, Mark van der…
Summary of Dota: Weight-decomposed Tensor Adaptation For Large Language Models, by Xiaolin Hu et al.
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Modelsby Xiaolin Hu, Xiang Cheng, Peiyu Liu, Wei…
Summary of Towards Compatible Fine-tuning For Vision-language Model Updates, by Zhengbo Wang et al.
Towards Compatible Fine-tuning for Vision-Language Model Updatesby Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He,…
Summary of Uncertainty-aware Out-of-distribution Detection with Gaussian Processes, by Yang Chen et al.
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processesby Yang Chen, Chih-Li Sung, Arpan Kusari, Xiaoyang Song, Wenbo…
Summary of Ddim Sampling For Generative Aibim, a Faster Intelligent Structural Design Framework, by Zhili He et al.
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkby Zhili He, Yu-Hsing WangFirst…
Summary of Generalizing in Net-zero Microgrids: a Study with Federated Ppo and Trpo, by Nicolas M Cuadrado Avila et al.
Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPOby Nicolas M Cuadrado Avila,…
Summary of Conservation-informed Graph Learning For Spatiotemporal Dynamics Prediction, by Yuan Mi et al.
Conservation-informed Graph Learning for Spatiotemporal Dynamics Predictionby Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu,…