Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamás Sarlós, Adrian Weller, Thomas Weingarten. From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 3962-3983, PMLR, 2022. [doi]
@inproceedings{ChoromanskiLCZS22, title = {From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers}, author = {Krzysztof Choromanski and Han Lin and Haoxian Chen and Tianyi Zhang and Arijit Sehanobish and Valerii Likhosherstov and Jack Parker-Holder and Tamás Sarlós and Adrian Weller and Thomas Weingarten}, year = {2022}, url = {https://proceedings.mlr.press/v162/choromanski22a.html}, researchr = {https://researchr.org/publication/ChoromanskiLCZS22}, cites = {0}, citedby = {0}, pages = {3962-3983}, booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato}, volume = {162}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}, }