Ensemble learning for predictive uncertainty estimation with application to the correction of satellite precipitation productsby…
MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusionby Ruixiang Jiang, Lingbo Liu,…
Discovering Invariant Neighborhood Patterns for Heterophilic Graphsby Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang,…
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environmentby Atah Nuh…
Generative Modelling of Stochastic Rotating Shallow Water Noiseby Dan Crisan, Oana Lang, Alexander LobbeFirst submitted…
Reviewing AI’s Role in Non-Muscle-Invasive Bladder Cancer Recurrence Predictionby Saram Abbas, Rishad Shafik, Naeem Soomro,…
LightIt: Illumination Modeling and Control for Diffusion Modelsby Peter Kocsis, Julien Philip, Kalyan Sunkavalli, Matthias…
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrastby Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah…
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inferenceby Declan McNamara, Jackson Loper,…
DiPaCo: Distributed Path Compositionby Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev,…