2 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Generalized Gradient Norm Clipping & Non-Euclidean -Smoothness
Thomas Pethick, Wanyun Xie, Mete Erdogan +3
This work introduces a hybrid non-Euclidean optimization method which generalizes gradient norm clipping by combining steepest descent and conditional gradient approaches. The meth…
Efficient Large Language Model Inference with Neural Block Linearization
Mete Erdogan, Francesco Tonin, Volkan Cevher
The high inference demands of transformer-based Large Language Models (LLMs) pose substantial challenges in their deployment. To this end, we introduce Neural Block Linearization (…
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
Mete Erdogan, Cengiz Pehlevan, Alper T. Erdogan
We introduce Error Broadcast and Decorrelation (EBD), a novel learning framework for neural networks that addresses credit assignment by directly broadcasting output errors to indi…