2024 Poster "bayesian neural networks" Papers
7 papers found
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Agustinus Kristiadi, Felix Strieth-Kalthoff, Marta Skreta et al.
ICML 2024posterarXiv:2402.05015
Bayesian Evidential Deep Learning for Online Action Detection
Hongji Guo, Hanjing Wang, Qiang Ji
ECCV 2024poster
3
citations
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou et al.
ICML 2024posterarXiv:2402.01484
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat, Alexander Immer, Hugo Yèche et al.
ICML 2024posterarXiv:2305.16905
Learning to Explore for Stochastic Gradient MCMC
SeungHyun Kim, Seohyeon Jung, SeongHyeon Kim et al.
ICML 2024posterarXiv:2408.09140
Partially Stochastic Infinitely Deep Bayesian Neural Networks
Sergio Calvo Ordoñez, Matthieu Meunier, Francesco Piatti et al.
ICML 2024poster
Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks
Yunfei Long, Zilin Tian, Liguo Zhang et al.
ICML 2024poster