ICML 2024 "probabilistic modeling" Papers

8 papers found

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poster (24,624)paper (8,140)oral (1,594)spotlight (1,421)highlight (975)

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