Efficient Learning for Undirected Topic Models. - Jiatao Gu; Victor O. K. Li (ACL (2), 2015)

Incorporating Copying Mechanism in Sequence-to-Sequence Learning. - Jiatao Gu; Zhengdong Lu; Hang Li 001; Victor O. K. Li (ACL (1), 2016)

Intelligent Time-Adaptive Transient Stability Assessment System. - James Jian Qiao Yu; David J. Hill 001; Albert Y. S. Lam; Jiatao Gu; Victor O. K. Li (CoRR, 2016)

Learning to Translate in Real-time with Neural Machine Translation. - Jiatao Gu; Graham Neubig; Kyunghyun Cho; Victor O. K. Li (EACL (1), 2017)

Trainable Greedy Decoding for Neural Machine Translation. - Jiatao Gu; Kyunghyun Cho; Victor O. K. Li (EMNLP, 2017)

Deep Learning Model to Estimate Air Pollution Using M-BP to Fill in Missing Proxy Urban Data. - Victor O. K. Li; Jacqueline C. K. Lam; Yun Chen 007; Jiatao Gu (GLOBECOM, 2017)

Search Engine Guided Non-Parametric Neural Machine Translation. - Jiatao Gu; Yong Wang 032; Kyunghyun Cho; Victor O. K. Li (CoRR, 2017)

Neural Machine Translation with Gumbel-Greedy Decoding. - Jiatao Gu; Daniel Jiwoong Im; Victor O. K. Li (AAAI, 2018)

Search Engine Guided Neural Machine Translation. - Jiatao Gu; Yong Wang 032; Kyunghyun Cho; Victor O. K. Li (AAAI, 2018)

Meta-Learning for Low-Resource Neural Machine Translation. - Jiatao Gu; Yong Wang 032; Yun Chen 007; Victor O. K. Li; Kyunghyun Cho (EMNLP, 2018)

Non-Autoregressive Neural Machine Translation. - Jiatao Gu; James Bradbury 002; Caiming Xiong; Victor O. K. Li; Richard Socher (ICLR (Poster), 2018)

Universal Neural Machine Translation for Extremely Low Resource Languages. - Jiatao Gu; Hany Hassan; Jacob Devlin; Victor O. K. Li (NAACL-HLT, 2018)

Large Margin Few-Shot Learning. - Yong Wang 032; Xiao-Ming Wu 003; Qimai Li; Jiatao Gu; Wangmeng Xiang; Lei Zhang 006; Victor O. K. Li (CoRR, 2018)

Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations. - Jiatao Gu; Yong Wang 032; Kyunghyun Cho; Victor O. K. Li (ACL (1), 2019)

VizSeq: a visual analysis toolkit for text generation tasks. - Changhan Wang; Anirudh Jain; Danlu Chen; Jiatao Gu (EMNLP/IJCNLP (3), 2019)

Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade. - Juan Pino 001; Liezl Puzon; Jiatao Gu; Xutai Ma; Arya D. McCarthy; Deepak Gopinath (IWSLT, 2019)

Levenshtein Transformer. - Jiatao Gu; Changhan Wang; Junbo Zhao (NeurIPS, 2019)

Levenshtein Transformer. - Jiatao Gu; Changhan Wang; Jake Zhao (CoRR, 2019)

Leveraging Out-of-Task Data for End-to-End Automatic Speech Translation. - Juan Miguel Pino; Liezl Puzon; Jiatao Gu; Xutai Ma; Arya D. McCarthy; Deepak Gopinath (CoRR, 2019)

Improved Variational Neural Machine Translation by Promoting Mutual Information. - Arya D. McCarthy; Xian Li 003; Jiatao Gu; Ning Dong (CoRR, 2019)

Insertion-based Decoding with Automatically Inferred Generation Order. - Jiatao Gu; Qi Liu 049; Kyunghyun Cho (Trans. Assoc. Comput. Linguistics, 2019)

Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder. - James Jian Qiao Yu; Jiatao Gu (IEEE Trans. Intell. Transp. Syst., 2019)

Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning. - James Jian Qiao Yu; Wen Yu 001; Jiatao Gu (IEEE Trans. Intell. Transp. Syst., 2019)

Neural Machine Translation with Byte-Level Subwords. - Changhan Wang; Kyunghyun Cho; Jiatao Gu (AAAI, 2020)

Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation. - Arya D. McCarthy; Xian Li 003; Jiatao Gu; Ning Dong (ACL, 2020)

Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation. - Hang Le 001; Juan Miguel Pino; Changhan Wang; Jiatao Gu; Didier Schwab; Laurent Besacier (COLING, 2020)

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. - Saining Xie; Jiatao Gu; Demi Guo; Charles R. Qi; Leonidas J. Guibas; Or Litany (ECCV (3), 2020)

SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation. - Xutai Ma; Mohammad Javad Dousti; Changhan Wang; Jiatao Gu; Juan Miguel Pino (EMNLP (Demos), 2020)

Depth-Adaptive Transformer. - Maha Elbayad; Jiatao Gu; Edouard Grave; Michael Auli (ICLR, 2020)

Revisiting Self-Training for Neural Sequence Generation. - Junxian He; Jiatao Gu; Jiajun Shen; Marc'Aurelio Ranzato (ICLR, 2020)

Monotonic Multihead Attention. - Xutai Ma; Juan Miguel Pino; James Cross 003; Liezl Puzon; Jiatao Gu (ICLR, 2020)

Understanding Knowledge Distillation in Non-autoregressive Machine Translation. - Chunting Zhou; Jiatao Gu; Graham Neubig (ICLR, 2020)

Non-autoregressive Machine Translation with Disentangled Context Transformer. - Jungo Kasai; James Cross 003; Marjan Ghazvininejad; Jiatao Gu (ICML, 2020)

Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation. - Changhan Wang; Juan Miguel Pino; Jiatao Gu (INTERSPEECH, 2020)

Self-Supervised Representations Improve End-to-End Speech Translation. - Anne Wu; Changhan Wang; Juan Miguel Pino; Jiatao Gu (INTERSPEECH, 2020)

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN. - Ebrahim Ansari; Amittai Axelrod; Nguyen Bach; Ondrej Bojar; Roldano Cattoni; Fahim Dalvi; Nadir Durrani; Marcello Federico; Christian Federmann; Jiatao Gu; Fei Huang 002; Kevin Knight; et al. (IWSLT, 2020)

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus. - Changhan Wang; Juan Miguel Pino; Anne Wu; Jiatao Gu (LREC, 2020)

Neural Sparse Voxel Fields. - Lingjie Liu; Jiatao Gu; Kyaw Zaw Lin; Tat-Seng Chua; Christian Theobalt (NeurIPS, 2020)

Cross-lingual Retrieval for Iterative Self-Supervised Training. - Chau Tran; Yuqing Tang; Xian Li 003; Jiatao Gu (NeurIPS, 2020)

Facebook AI's WMT20 News Translation Task Submission. - Peng-Jen Chen; Ann Lee 001; Changhan Wang; Naman Goyal 001; Angela Fan; Mary Williamson; Jiatao Gu (WMT@EMNLP, 2020)

Parallel Machine Translation with Disentangled Context Transformer. - Jungo Kasai; James Cross 003; Marjan Ghazvininejad; Jiatao Gu (CoRR, 2020)

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning. - Yuqing Tang; Chau Tran; Xian Li 003; Peng-Jen Chen; Naman Goyal 001; Vishrav Chaudhary; Jiatao Gu; Angela Fan (CoRR, 2020)

Detecting Hallucinated Content in Conditional Neural Sequence Generation. - Chunting Zhou; Graham Neubig; Jiatao Gu; Mona T. Diab; Paco Guzman; Luke Zettlemoyer; Marjan Ghazvininejad (CoRR, 2020)

CLEAR: Contrastive Learning for Sentence Representation. - Zhuofeng Wu 001; Sinong Wang; Jiatao Gu; Madian Khabsa; Fei Sun; Hao Ma 001 (CoRR, 2020)

Multilingual Denoising Pre-training for Neural Machine Translation. - Yinhan Liu; Jiatao Gu; Naman Goyal 001; Xian Li 003; Sergey Edunov; Marjan Ghazvininejad; Mike Lewis; Luke Zettlemoyer (Trans. Assoc. Comput. Linguistics, 2020)

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade. - Jiatao Gu; Xiang Kong (ACL/IJCNLP (Findings), 2021)

Lightweight Adapter Tuning for Multilingual Speech Translation. - Hang Le 001; Juan Miguel Pino; Changhan Wang; Jiatao Gu; Didier Schwab; Laurent Besacier (ACL/IJCNLP (2), 2021)

Multilingual Translation from Denoising Pre-Training. - Yuqing Tang; Chau Tran; Xian Li 003; Peng-Jen Chen; Naman Goyal 001; Vishrav Chaudhary; Jiatao Gu; Angela Fan (ACL/IJCNLP (Findings), 2021)

Detecting Hallucinated Content in Conditional Neural Sequence Generation. - Chunting Zhou; Graham Neubig; Jiatao Gu; Mona T. Diab; Francisco Guzmán; Luke Zettlemoyer; Marjan Ghazvininejad (ACL/IJCNLP (Findings), 2021)

Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. - Xiang Kong; Adithya Renduchintala; James Cross 003; Yuqing Tang; Jiatao Gu; Xian Li 003 (EACL, 2021)

The Source-Target Domain Mismatch Problem in Machine Translation. - Jiajun Shen; Peng-Jen Chen; Matt Le 001; Junxian He; Jiatao Gu; Myle Ott; Michael Auli; Marc'Aurelio Ranzato (EACL, 2021)

fairseq S ^2: A Scalable and Integrable Speech Synthesis Toolkit. - Changhan Wang; Wei-Ning Hsu; Yossi Adi; Adam Polyak; Ann Lee 001; Peng-Jen Chen; Jiatao Gu; Juan Pino 001 (EMNLP (Demos), 2021)

CoVoST 2 and Massively Multilingual Speech Translation. - Changhan Wang; Anne Wu; Jiatao Gu; Juan Pino 001 (Interspeech, 2021)

Volume Rendering of Neural Implicit Surfaces. - Lior Yariv; Jiatao Gu; Yoni Kasten; Yaron Lipman (NeurIPS, 2021)

Direct speech-to-speech translation with discrete units. - Ann Lee 001; Peng-Jen Chen; Changhan Wang; Jiatao Gu; Xutai Ma; Adam Polyak; Yossi Adi; Qing He; Yun Tang 002; Juan Miguel Pino; Wei-Ning Hsu (CoRR, 2021)

Textless Speech-to-Speech Translation on Real Data. - Ann Lee 001; Hongyu Gong; Paul-Ambroise Duquenne; Holger Schwenk; Peng-Jen Chen; Changhan Wang; Sravya Popuri; Juan Miguel Pino; Jiatao Gu; Wei-Ning Hsu (CoRR, 2021)

Neural actor: neural free-view synthesis of human actors with pose control. - Lingjie Liu; Marc Habermann; Viktor Rudnev; Kripasindhu Sarkar; Jiatao Gu; Christian Theobalt (ACM Trans. Graph., 2021)

Non-Autoregressive Sequence Generation. - Jiatao Gu; Xu Tan 003 (ACL (tutorial), 2022)

Direct Speech-to-Speech Translation With Discrete Units. - Ann Lee 001; Peng-Jen Chen; Changhan Wang; Jiatao Gu; Sravya Popuri; Xutai Ma; Adam Polyak; Yossi Adi; Qing He; Yun Tang 002; Juan Pino 001; Wei-Ning Hsu (ACL (1), 2022)

Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. - Khalil Mrini; Shaoliang Nie; Jiatao Gu; Sinong Wang; Maziar Sanjabi; Hamed Firooz (ACL (Findings), 2022)

Unified Speech-Text Pre-training for Speech Translation and Recognition. - Yun Tang 002; Hongyu Gong; Ning Dong; Changhan Wang; Wei-Ning Hsu; Jiatao Gu; Alexei Baevski; Xian Li 003; Abdelrahman Mohamed; Michael Auli; Juan Miguel Pino (ACL (1), 2022)

Dual Attention Mechanisms Based Auto-Encoder for Video Anomaly Detection. - Jiatao Gu; Jing Zeng; Genlin Ji (ICAIS (1), 2022)

StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis. - Jiatao Gu; Lingjie Liu; Peng Wang 099; Christian Theobalt (ICLR, 2022)

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. - Alexei Baevski; Wei-Ning Hsu; Qiantong Xu; Arun Babu; Jiatao Gu; Michael Auli (ICML, 2022)

Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation. - Sravya Popuri; Peng-Jen Chen; Changhan Wang; Juan Pino 001; Yossi Adi; Jiatao Gu; Wei-Ning Hsu; Ann Lee 001 (INTERSPEECH, 2022)

IDPG: An Instance-Dependent Prompt Generation Method. - Zhuofeng Wu 001; Sinong Wang; Jiatao Gu; Rui Hou; Yuxiao Dong; V. G. Vinod Vydiswaran; Hao Ma 001 (NAACL-HLT, 2022)

Textless Speech-to-Speech Translation on Real Data. - Ann Lee 001; Hongyu Gong; Paul-Ambroise Duquenne; Holger Schwenk; Peng-Jen Chen; Changhan Wang; Sravya Popuri; Yossi Adi; Juan Miguel Pino; Jiatao Gu; Wei-Ning Hsu (NAACL-HLT, 2022)

Progressively-connected Light Field Network for Efficient View Synthesis. - Peng Wang 099; Yuan Liu 025; Guying Lin; Jiatao Gu; Lingjie Liu; Taku Komura; Wenping Wang 001 (CoRR, 2022)

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. - Hansheng Chen 001; Jiatao Gu; Anpei Chen; Wei Tian 001; Zhuowen Tu; Lingjie Liu; Hao Su 001 (ICCV, 2023)

MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. - Chen Huang 001; Hanlin Goh; Jiatao Gu; Joshua M. Susskind (ICLR, 2023)

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. - Jiatao Gu; Shuangfei Zhai; Yizhe Zhang 002; Miguel Ángel Bautista 001; Joshua M. Susskind (ICLR, 2023)

Diffusion Probabilistic Fields. - Peiye Zhuang; Samira Abnar; Jiatao Gu; Alexander G. Schwing; Joshua M. Susskind; Miguel Ángel Bautista 001 (ICLR, 2023)

NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion. - Jiatao Gu; Alex Trevithick; Kai-En Lin; Joshua M. Susskind; Christian Theobalt; Lingjie Liu; Ravi Ramamoorthi (ICML, 2023)

Stabilizing Transformer Training by Preventing Attention Entropy Collapse. - Shuangfei Zhai; Tatiana Likhomanenko; Etai Littwin; Dan Busbridge; Jason Ramapuram; Yizhe Zhang 002; Jiatao Gu; Joshua M. Susskind (ICML, 2023)

PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. - Yizhe Zhang 002; Jiatao Gu; Zhuofeng Wu 001; Shuangfei Zhai; Joshua M. Susskind; Navdeep Jaitly (NeurIPS, 2023)

Learning Controllable 3D Diffusion Models from Single-view Images. - Jiatao Gu; Qingzhe Gao; Shuangfei Zhai; Baoquan Chen; Lingjie Liu; Josh M. Susskind (CoRR, 2023)

BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping. - Jiatao Gu; Shuangfei Zhai; Yizhe Zhang 002; Lingjie Liu; Josh M. Susskind (CoRR, 2023)

Generative Modeling with Phase Stochastic Bridges. - Tianrong Chen; Jiatao Gu; Laurent Dinh; Evangelos A. Theodorou; Josh M. Susskind; Shuangfei Zhai (CoRR, 2023)

Adaptivity and Modularity for Efficient Generalization Over Task Complexity. - Samira Abnar; Omid Saremi; Laurent Dinh; Shantel Wilson; Miguel Ángel Bautista 001; Chen Huang 001; Vimal Thilak; Etai Littwin; Jiatao Gu; Josh M. Susskind; Samy Bengio (CoRR, 2023)

Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models. - Liangchen Song; Liangliang Cao; Jiatao Gu; Yifan Jiang 001; Junsong Yuan 001; Hao Tang 001 (CoRR, 2023)

Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images. - Jiatao Gu; Qingzhe Gao; Shuangfei Zhai; Baoquan Chen; Lingjie Liu; Josh M. Susskind (3DV, 2024)

Diffusion Models Without Attention. - Jing Nathan Yan; Jiatao Gu; Alexander M. Rush (CVPR, 2024)

Divide-or-Conquer? Which Part Should You Distill Your LLM? - Zhuofeng Wu 001; Richard He Bai; Aonan Zhang; Jiatao Gu; V. G. Vinod Vydiswaran; Navdeep Jaitly; Yizhe Zhang 002 (EMNLP (Findings), 2024)

Generative Modeling with Phase Stochastic Bridge. - Tianrong Chen; Jiatao Gu; Laurent Dinh; Evangelos A. Theodorou; Joshua M. Susskind; Shuangfei Zhai (ICLR, 2024)

Matryoshka Diffusion Models. - Jiatao Gu; Shuangfei Zhai; Yizhe Zhang 002; Joshua M. Susskind; Navdeep Jaitly (ICLR, 2024)

Data-free Distillation of Diffusion Models with Bootstrapping. - Jiatao Gu; Chen Wang 049; Shuangfei Zhai; Yizhe Zhang 002; Lingjie Liu; Joshua M. Susskind (ICML, 2024)

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. - Jiatao Gu; Ying Shen 006; Shuangfei Zhai; Yizhe Zhang 002; Navdeep Jaitly; Joshua M. Susskind (NeurIPS, 2024)

ProLiF: Progressively-connected Light Field network for efficient view synthesis. - Peng Wang 099; Yuan Liu 025; Guying Lin; Jiatao Gu; Lingjie Liu; Taku Komura; Wenping Wang 001 (Comput. Graph., 2024)

How Far Are We from Intelligent Visual Deductive Reasoning? - Yizhe Zhang 002; He Bai 002; Ruixiang Zhang; Jiatao Gu; Shuangfei Zhai; Josh M. Susskind; Navdeep Jaitly (CoRR, 2024)

Many-to-many Image Generation with Auto-regressive Diffusion Models. - Ying Shen 006; Yizhe Zhang 002; Shuangfei Zhai; Lifu Huang; Joshua M. Susskind; Jiatao Gu (CoRR, 2024)

GECO: Generative Image-to-3D within a SECOnd. - Chen Wang 049; Jiatao Gu; Xiaoxiao Long; Yuan Liu 025; Lingjie Liu (CoRR, 2024)

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation. - Jiatao Gu; Yuyang Wang; Yizhe Zhang 002; Qihang Zhang; Dinghuai Zhang; Navdeep Jaitly; Josh M. Susskind; Shuangfei Zhai (CoRR, 2024)

TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models. - Georgia Gabriela Sampaio; Ruixiang Zhang; Shuangfei Zhai; Jiatao Gu; Josh M. Susskind; Navdeep Jaitly; Yizhe Zhang 002 (CoRR, 2024)

World-consistent Video Diffusion with Explicit 3D Modeling. - Qihang Zhang; Shuangfei Zhai; Miguel Ángel Bautista 001; Kevin Miao; Alexander Toshev; Joshua M. Susskind; Jiatao Gu (CoRR, 2024)

Normalizing Flows are Capable Generative Models. - Shuangfei Zhai; Ruixiang Zhang; Preetum Nakkiran; David Berthelot; Jiatao Gu; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Navdeep Jaitly; Joshua M. Susskind (CoRR, 2024)

DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models. - Kevin Miao; Harsh Agrawal; Qihang Zhang; Federico Semeraro 003; Marco Cavallo; Jiatao Gu; Alexander Toshev (CoRR, 2024)

3D Shape Tokenization. - Jen-Hao Rick Chang; Yuyang Wang; Miguel Ángel Bautista 001; Jiatao Gu; Joshua M. Susskind; Oncel Tuzel (CoRR, 2024)

Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry and Physics for Mesh-free Simulation. - Chuhao Chen 005; Zhiyang Dou; Chen Wang 049; Yiming Huang; Anjun Chen; Qiao Feng 001; Jiatao Gu; Lingjie Liu (CVPR, 2025)

World-consistent Video Diffusion with Explicit 3D Modeling. - Qihang Zhang; Shuangfei Zhai; Miguel Ángel Bautista Martin; Kevin Miao; Alexander Toshev; Joshua M. Susskind; Jiatao Gu (CVPR, 2025)

Denoising Autoregressive Transformers for Scalable Text-to-Image Generation. - Jiatao Gu; Yuyang Wang; Yizhe Zhang 002; Qihang Zhang; Dinghuai Zhang; Navdeep Jaitly; Joshua M. Susskind; Shuangfei Zhai (ICLR, 2025)

Diffusion Models for 3D Generation: A Survey. - Chen Wang 049; Hao-Yang Peng; Ying-Tian Liu; Jiatao Gu; Shi-Min Hu 001 (Comput. Vis. Media, 2025)

Improving GFlowNets for Text-to-Image Diffusion Alignment. - Dinghuai Zhang; Yizhe Zhang 002; Jiatao Gu; Ruixiang Zhang; Joshua M. Susskind; Navdeep Jaitly; Shuangfei Zhai (Trans. Mach. Learn. Res., 2025)

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation. - Xuyi Meng; Chen Wang 049; Jiahui Lei; Kostas Daniilidis; Jiatao Gu; Lingjie Liu (CoRR, 2025)

Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions. - Yizhe Zhang 002; Richard He Bai; Zijin Gu; Ruixiang Zhang; Jiatao Gu; Emmanuel Abbe; Samy Bengio; Navdeep Jaitly (CoRR, 2025)

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis. - Jiatao Gu; Tianrong Chen; David Berthelot; Huangjie Zheng; Yuyang Wang; Ruixiang Zhang; Laurent Dinh; Miguel Ángel Bautista 001; Josh M. Susskind; Shuangfei Zhai (CoRR, 2025)

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. - Shansan Gong; Ruixiang Zhang; Huangjie Zheng; Jiatao Gu; Navdeep Jaitly; Lingpeng Kong; Yizhe Zhang 002 (CoRR, 2025)

TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics. - Tianrong Chen; Huangjie Zheng; David Berthelot; Jiatao Gu; Josh M. Susskind; Shuangfei Zhai (CoRR, 2025)

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows. - Ruixiang Zhang; Shuangfei Zhai; Jiatao Gu; Yizhe Zhang 002; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Joshua M. Susskind; Navdeep Jaitly (CoRR, 2025)