ICML "probabilistic modeling" Papers
8 papers found
A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
Lars Veefkind, Gabriele Cesa
ICML 2024posterarXiv:2406.03946
Arrows of Time for Large Language Models
Vassilis Papadopoulos, Jérémie Wenger, Clement Hongler
ICML 2024posterarXiv:2401.17505
Beyond the Norms: Detecting Prediction Errors in Regression Models
Andres Altieri, Marco Romanelli, Georg Pichler et al.
ICML 2024spotlightarXiv:2406.06968
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
JUNCHAO GONG, LEI BAI, Peng Ye et al.
ICML 2024posterarXiv:2402.04290
Dual Operating Modes of In-Context Learning
Ziqian Lin, Kangwook Lee
ICML 2024posterarXiv:2402.18819
Probabilistic Modeling of Interpersonal Coordination Processes
Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy et al.
ICML 2024oral
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Chaoqun Du, Yizeng Han, Gao Huang
ICML 2024posterarXiv:2402.13505
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
Guangyi Liu, Yu Wang, Zeyu Feng et al.
ICML 2024posterarXiv:2402.19009