Summary of Bayesian Concept Bottleneck Models with Llm Priors, by Jean Feng et al.
Bayesian Concept Bottleneck Models with LLM Priorsby Jean Feng, Avni Kothari, Luke Zier, Chandan Singh,…
Bayesian Concept Bottleneck Models with LLM Priorsby Jean Feng, Avni Kothari, Luke Zier, Chandan Singh,…
Gradient Rewiring for Editable Graph Neural Network Trainingby Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang…
A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under…
Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storageby Wenchao Teng, Louis J. DurlofskyFirst…
Multiple Kernel Clustering via Local Regression Integrationby Liang Du, Xin Ren, Haiying Zhang, Peng ZhouFirst…
Symmetry Nonnegative Matrix Factorization Algorithm Based on Self-paced Learningby Lei Wang, Liang Du, Peng Zhou,…
On Cold Posteriors of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and A New…
Amortized Probabilistic Conditioning for Optimization, Simulation and Inferenceby Paul E. Chang, Nasrulloh Loka, Daolang Huang,…
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Modelby Haoye Chai, Xiaoqian Qi,…
EPIC: Efficient Position-Independent Context Caching for Serving Large Language Modelsby Junhao Hu, Wenrui Huang, Haoyi…