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Daniel Gissin

2 accepted papers

2025

Jamba: Hybrid Transformer-Mamba Language Models

ICLR 2025poster

We present Jamba, a novel hybrid Transformer-Mamba mixture-of-experts (MoE) architecture. Jamba interleaves blocks of Transformer and Mamba layers, enjoying the benefits of both model families. MoE is added in some of these layers to increase model capacity while keeping active parameter usage manag…

Cited by 3SourcePDFScholar
2020

The Implicit Bias of Depth: How Incremental Learning Drives Generalization

ICLR 2020poster

A leading hypothesis for the surprising generalization of neural networks is that the dynamics of gradient descent bias the model towards simple solutions, by searching through the solution space in an incremental order of complexity. We formally define the notion of incremental learning dynamics an…

Cited by 92SourcecodeScholar