Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré. Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 572-585, 2021. [doi]
@inproceedings{GuJGSDRR21, title = {Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers}, author = {Albert Gu and Isys Johnson and Karan Goel and Khaled Saab and Tri Dao and Atri Rudra and Christopher Ré}, year = {2021}, url = {https://proceedings.neurips.cc/paper/2021/hash/05546b0e38ab9175cd905eebcc6ebb76-Abstract.html}, researchr = {https://researchr.org/publication/GuJGSDRR21}, cites = {0}, citedby = {0}, pages = {572-585}, booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual}, editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan}, }