2025 Poster "autoregressive models" Papers

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Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking

Heli Ben-Hamu, Itai Gat, Daniel Severo et al.

NeurIPS 2025posterarXiv:2505.24857

A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances

Zichong Wang, Zhipeng Yin, Wenbin Zhang

NeurIPS 2025poster

Controllable Generation via Locally Constrained Resampling

Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck

ICLR 2025posterarXiv:2410.13111

Diffusion Beats Autoregressive in Data-Constrained Settings

Mihir Prabhudesai, Mengning Wu, Amir Zadeh et al.

NeurIPS 2025posterarXiv:2507.15857

EditAR: Unified Conditional Generation with Autoregressive Models

Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang

CVPR 2025posterarXiv:2501.04699

Flow Stochastic Segmentation Networks

Fabio De Sousa Ribeiro, Omar Todd, Charles Jones et al.

ICCV 2025posterarXiv:2507.18838

OmniGen-AR: AutoRegressive Any-to-Image Generation

Junke Wang, Xun Wang, Qiushan Guo et al.

NeurIPS 2025poster

SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE

YONGWEI CHEN, Yushi Lan, Shangchen Zhou et al.

CVPR 2025posterarXiv:2411.16856

Theoretical Benefit and Limitation of Diffusion Language Model

Guhao Feng, Yihan Geng, Jian Guan et al.

NeurIPS 2025posterarXiv:2502.09622