Deep Learning

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025 TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment AAAI 2025 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation ICML 2025 TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts AAAI 2025 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting ICML 2025 TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust Reconstruction ICCV 2025 TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting ICLR 2025 Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025 TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis ICLR 2025 Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts ICLR 2025 Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025 Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields CVPR 2025 TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning ICML 2025 Timer-XL: Long-Context Transformers for Unified Time Series Forecasting ICLR 2025 Time-series attribution maps with regularized contrastive learning AISTATS 2025 Time Series Representations with Hard-Coded Invariances ICML 2025 Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025 TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting ICML 2025 Timestep-Aware Diffusion Model for Extreme Image Rescaling ICCV 2025 Timestep Embeddings Trigger Collapse in Diffusion Text Generation CoNLL 2025 Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model CVPR 2025 TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision ICML 2025 Time-to-Event Pretraining for 3D Medical Imaging ICLR 2025 Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time ICML 2025 Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting ICML 2025