Training and Inference on Any-Order Autoregressive Models the Right Way

26 May 2022

Dorsa Sadigh

Papers citing "Training and Inference on Any-Order Autoregressive Models the Right Way"

20 / 20 papers shown

Title
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation Hengyuan Hu Aniket Das Dorsa Sadigh Nima Anari DiffM 19 0 0 06 May 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion Ruixiang Zhang Shuangfei Zhai Yizhe Zhang James Thornton Zijing Ou Joshua M. Susskind Navdeep Jaitly DiffM 33 0 0 23 Apr 2025
Distilling semantically aware orders for autoregressive image generation Rishav Pramanik Antoine Poupon Juan A. Rodriguez Masih Aminbeidokhti David Vazquez Christopher Pal Zhaozheng Yin M. Pedersoli 26 0 0 23 Apr 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 59 0 0 10 Mar 2025
Large Language Diffusion Models Shen Nie Fengqi Zhu Zebin You Xiaolu Zhang Jingyang Ou Jun Hu Jun Zhou Yankai Lin Ji-Rong Wen Chongxuan Li 100 12 0 14 Feb 2025
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data P. Tiwald Ivona Krchova Andrey Sidorenko Mariana Vargas-Vieyra Mario Scriminaci Michael Platzer 44 1 0 21 Jan 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Z. Wang Arnaud Doucet Michalis K. Titsias DiffM 74 62 0 17 Jan 2025
[MASK] is All You Need Vincent Tao Hu Bjorn Ommer DiffM 135 2 0 09 Dec 2024
Energy-Based Diffusion Language Models for Text Generation Minkai Xu Tomas Geffner Karsten Kreis Weili Nie Yilun Xu J. Leskovec Stefano Ermon Arash Vahdat DiffM 44 7 0 28 Oct 2024
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion Bac Nguyen and Chieh-Hsin Lai Yuhta Takida Naoki Murata Toshimitsu Uesaka Stefano Ermon Yuki Mitsufuji 61 0 0 18 Oct 2024
Plug-and-Play Controllable Generation for Discrete Masked Models Wei Guo Yuchen Zhu Molei Tao Yongxin Chen 32 1 0 03 Oct 2024
CodonMPNN for Organism Specific and Codon Optimal Inverse Folding Hannes Stark Umesh Padia Julia Balla Cameron Diao George Church 25 1 0 25 Sep 2024
Parallel Sampling via Counting Nima Anari Ruiquan Gao Aviad Rubinstein 47 3 0 18 Aug 2024
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Jingyang Ou Shen Nie Kaiwen Xue Fengqi Zhu Jiacheng Sun Zhenguo Li Chongxuan Li DiffM 41 27 0 06 Jun 2024
Probabilistic Neural Circuits Pedro Zuidberg Dos Martires TPM 21 2 0 10 Mar 2024
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution Aaron Lou Chenlin Meng Stefano Ermon DiffM 22 63 0 25 Oct 2023
Generative Marginalization Models Sulin Liu Peter J. Ramadge Ryan P. Adams 20 1 0 19 Oct 2023
Bayesian Flow Networks Alex Graves R. Srivastava Timothy James Atkinson Faustino J. Gomez BDL 33 41 0 14 Aug 2023
Continuous diffusion for categorical data Sander Dieleman Laurent Sartran Arman Roshannai Nikolay Savinov Yaroslav Ganin ... Conor Durkan Curtis Hawthorne Rémi Leblond Will Grathwohl J. Adler DiffM 11 98 0 28 Nov 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021