Tri Dao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
5
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Long-Context State-Space Video World Models. | Ryan Po, Yotam Nitzan, Richard Zhang, Berlin Chen, Tri Dao, Eli Shechtman, Gordon Wetzstein, Xun Huang |
| 2025 | ICML | Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping. | Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang, Yoon Kim, Jonathan Ragan-Kelley, Shuaiwen Leon Song, Ben Athiwaratkun, Tri Dao |
| 2024 | ICLR | FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning. | Tri Dao |
| 2024 | ICML | Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. | Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao |
| 2024 | ICML | Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality. | Tri Dao, Albert Gu |
| 2024 | ICML | Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling. | Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov |
| 2023 | ICLR | Hungry Hungry Hippos: Towards Language Modeling with State Space Models. | Daniel Y. Fu, Tri Dao, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher R |
| 2023 | ICLR | Effectively Modeling Time Series with Simple Discrete State Spaces. | Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher R |
| 2023 | ICML | Simple Hardware-Efficient Long Convolutions for Sequence Modeling. | Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher R |
| 2023 | ICML | Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. | Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher R, Beidi Chen |
| 2023 | ICML | Hyena Hierarchy: Towards Larger Convolutional Language Models. | Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher R |
| 2022 | ICLR | Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. | Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher R |
| 2022 | ICML | Monarch: Expressive Structured Matrices for Efficient and Accurate Training. | Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher R |
| 2022 | ICML | ButterflyFlow: Building Invertible Layers with Butterfly Matrices. | Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon |
| 2021 | ICLR | MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training. | Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher R |
| 2021 | ICLR | Knowledge Distillation as Semiparametric Inference. | Tri Dao, Govinda M. Kamath, Vasilis Syrgkanis, Lester Mackey |
| 2021 | ICML | Catformer: Designing Stable Transformers via Sensitivity Analysis. | Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher R, Chelsea Finn, Percy Liang |
| 2020 | ICLR | Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. | Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher R |
| 2019 | AISTATS | Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. | Jian Zhang, Avner May, Tri Dao, Christopher R |
| 2019 | ICML | Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. | Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher R |
| 2019 | ICML | A Kernel Theory of Modern Data Augmentation. | Tri Dao, Albert Gu, Alexander Ratner, Virginia Smith, Chris De Sa, Christopher R |
| 2019 | UAI | Adaptive Hashing for Model Counting. | Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon |
| 2018 | ICLR | Learning Invariance with Compact Transforms. | Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher R |