A Novel Approach to Balance Convenience and Nutrition in Meals With Long-Term Group Recommendations and…
Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problemsby Matthew…
Causal Composition Diffusion Model for Closed-loop Traffic Generationby Haohong Lin, Xin Huang, Tung Phan-Minh, David…
VITRO: Vocabulary Inversion for Time-series Representation Optimizationby Filippos Bellos, Nam H. Nguyen, Jason J. CorsoFirst…
Study of the Proper NNUE Datasetby Daniel Tan, Neftali Watkinson MedinaFirst submitted to arxiv on:…
ArchComplete: Autoregressive 3D Architectural Design Generation with Hierarchical Diffusion-Based Upsamplingby S. Rasoulzadeh, M. Bank, I.…
CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Modelsby Ruibo Tu, Hedvig Kjellström, Gustav Eje…
Extending Graph Condensation to Multi-Label Datasets: A Benchmark Studyby Liangliang Zhang, Haoran Bao, Yao MaFirst…
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Networkby…
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusionby Grigor Bezirganyan, Sana Sellami, Laure…