Summary of Taming Multimodal Joint Training For High-quality Video-to-audio Synthesis, by Ho Kei Cheng et al.
Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesisby Ho Kei Cheng, Masato Ishii, Akio Hayakawa,…
Summary of Large Language Models on Small Resource-constrained Systems: Performance Characterization, Analysis and Trade-offs, by Liam Seymour et al.
Large Language Models on Small Resource-Constrained Systems: Performance Characterization, Analysis and Trade-offsby Liam Seymour, Basar…
Summary of Geopro-net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-guided Geo-prototyping, by Bang An et al.
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototypingby Bang An, Xun Zhou, Zirui Zhou,…
Summary of Lisa: Learning-integrated Space Partitioning Framework For Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data, by Bang An et al.
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Databy Bang An,…
Summary of A Generative Framework For Probabilistic, Spatiotemporally Coherent Downscaling Of Climate Simulation, by Jonathan Schmidt et al.
A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulationby Jonathan Schmidt, Luca Schmidt,…
Summary of A Multi-fidelity Graph U-net Model For Accelerated Physics Simulations, by Rini Jasmine Gladstone and Hadi Meidani
A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulationsby Rini Jasmine Gladstone, Hadi MeidaniFirst submitted…
Summary of Granger Causality Detection with Kolmogorov-arnold Networks, by Hongyu Lin et al.
Granger Causality Detection with Kolmogorov-Arnold Networksby Hongyu Lin, Mohan Ren, Paolo Barucca, Tomaso AsteFirst submitted…
Summary of Jet: a Modern Transformer-based Normalizing Flow, by Alexander Kolesnikov et al.
Jet: A Modern Transformer-Based Normalizing Flowby Alexander Kolesnikov, André Susano Pinto, Michael TschannenFirst submitted to…
Summary of Rethinking Uncertainty Estimation in Natural Language Generation, by Lukas Aichberger et al.
Rethinking Uncertainty Estimation in Natural Language Generationby Lukas Aichberger, Kajetan Schweighofer, Sepp HochreiterFirst submitted to…
Summary of Data For Mathematical Copilots: Better Ways Of Presenting Proofs For Machine Learning, by Simon Frieder et al.
Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learningby Simon Frieder, Jonas…