RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecastingby Tianfeng Wang, Gaojie CuiFirst submitted…
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Recordsby Yingbo Ma, Suraj…
LoMOE: Localized Multi-Object Editing via Multi-Diffusionby Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh APFirst submitted…
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variablesby Yuxuan Wang, Haixu Wu, Jiaxiang…
User-LLM: Efficient LLM Contextualization with User Embeddingsby Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu,…
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Loadby Siyang Li, Hui…
Offline Actor-Critic Reinforcement Learning Scales to Large Modelsby Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang,…
Unifying Generation and Prediction on Graphs with Latent Graph Diffusionby Cai Zhou, Xiyuan Wang, Muhan…
Linguistic-Based Mild Cognitive Impairment Detection Using Informative Lossby Ali Pourramezan Fard, Mohammad H. Mahoor, Muath…
On the generalization capacity of neural networks during generic multimodal reasoningby Takuya Ito, Soham Dan,…