autoregressive

DriveGPT: Scaling Autoregressive Behavior Models for Driving ICML 2025 Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization ICML 2025 Exploring Invariance in Images through One-way Wave Equations ICML 2025 Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities ICML 2025 HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding ICML 2025 Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network ICML 2025 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation ICML 2025 WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting ICML 2025 ZipAR: Parallel Autoregressive Image Generation through Spatial Locality ICML 2025 Auto-Regressive Next-Token Predictors are Universal Learners ICML 2024 Denoising Autoregressive Representation Learning ICML 2024 LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits ICML 2024 LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions ICML 2024 Tandem Transformers for Inference Efficient LLMs ICML 2024 VideoPoet: A Large Language Model for Zero-Shot Video Generation ICML 2024