1 citations · 2 across the 3 of their papers we have counts for
4 papers
Building a Nested LADDER for LLM Unstructured Post-Training Pruning
Nicolás Mauricio Cuadrado Ávila, Ivo Gollini Navarrete, Martin Takáč +1
Non-uniform allocation can improve post-training pruning of large language models, yet quality can still degrade sharply at high sparsity. To control degradation as sparsity increa…
What Scalable Second-Order Information Knows for Pruning at Initialization
Ivo Gollini Navarrete, Nicolás Mauricio Cuadrado Ávila, Martin Takáč +1
Pruning remains an effective strategy for reducing both the costs and environmental impact associated with deploying large neural networks (NNs) while maintaining performance. Clas…
Generalising Battery Control in Net-Zero Buildings via Personalised Federated RL
Nicolas M Cuadrado Avila, Samuel Horváth, Martin Takáč
This work studies the challenge of optimal energy management in building-based microgrids through a collaborative and privacy-preserving framework. We evaluated two common RL algor…
Energy Pricing in P2P Energy Systems Using Reinforcement Learning
Nicolas Avila, Shahad Hardan, Elnura Zhalieva +2
The increase in renewable energy on the consumer side gives place to new dynamics in the energy grids. Participants in a microgrid can produce energy and trade it with their peers…