Mamba-3: Improved Sequence Modeling using State Space Principles

ICLROral2026

Authors
Aakash Lahoti, Kevin Li, Berlin Chen, Caitlin Wang, Aviv Bick, J Zico Kolter, Tri Dao, Albert Gu
Affiliation
CMU, Carnegie Mellon University
Venue
ICLR 2026
Track
Oral

TL;DR

Mamba-3, an inference-first SSM that pushes on core SSM principles: improved discretization for better quality, complex dynamics for new capabilities, and MIMO updates for efficient inference.

Opening excerpt from the authors’ abstract. source

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Topics

efficient mamba

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