Papers by Aarush Rathore
lrnnx: A library for Linear RNNs (2026.eacl-srw)
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Karan Bania, Soham Kalburgi, Manit Tanwar, null Dhruthi, Aditya Nagarsekar, Harshvardhan Mestha, Naman Chibber, Raj Deshmukh, Anish Sathyanarayanan, Aarush Rathore, Pratham Chheda
| Challenge: | Existing implementations of linear recurrent neural networks are fragmented across different software frameworks . existing implementations often require custom CUDA kernels or lack publicly available code altogether . |
| Approach: | a unified software library implements several modern LRNN architectures under a common interface. lrnnx aims to improve accessibility, reproducibility, and extensibility of LRnn research and applications. |
| Outcome: | lrnnx aims to improve accessibility, reproducibility, and extensibility of LRNN research and applications. |