DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representationsby Dogyun Park, Sihyeon Kim,…
Self-Labeling the Job Shop Scheduling Problemby Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'AmicoFirst submitted…
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformersby Katherine Crowson, Stefan Andreas Baumann, Alex…
Long-Term Fair Decision Making through Deep Generative Modelsby Yaowei Hu, Yongkai Wu, Lu ZhangFirst submitted…
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generationby Timur Sattarov,…
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networksby Partha Ghosh, Soubhik Sanyal, Cordelia Schmid,…
CCNETS: A Novel Brain-Inspired Approach for Enhanced Pattern Recognition in Imbalanced Datasetsby Hanbeot Park, Yunjeong…
Inverse Reinforcement Learning with Sub-optimal Expertsby Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello RestelliFirst…
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Makingby William Yue,…
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpointsby Jinyang Yuan, Tonglin Chen, Zhimeng Shen, Bin Li,…