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Author

Rodrigue Rizk

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Jul 2026

CausalGate: Causal Importance Distillation for Transformer Module Pruning

This work introduces CausalGate, an intervention-guided framework for compute-efficient transformer inference, which consistently outperforms prominent dynamic routing and layer-skipping baselines, translating theoretical compute savings into concrete hardware latency reductions with zero operational overhead.

K. Nair, Smriti Regmi, Rodrigue Rizk · 0 citations
Preprint Aug 2026

SAGE: Surrogate-gradient Adaptation via Attention-Guided Entropy for Spiking Transformers

Spiking neural networks (SNNs) offer an energy-efficient alternative to conventional deep neural networks by exploiting sparse event-driven computation, but their training remains challenging because the non-differentiable spike function requires surrogate gradients whose fixed shape may be suboptimal across layers and...

K. Nair, Rodrigue Rizk, K. Santosh · 0 citations

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