Castro, Roberto L.

4 publications

ICLR 2026 Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization Vage Egiazarian, Roberto L. Castro, Denis Kuznedelev, Andrei Panferov, Eldar Kurtic, Shubhra Pandit, Alexandre Noll Marques, Mark Kurtz, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh

NeurIPS 2025 HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs Saleh Ashkboos, Mahdi Nikdan, Soroush Tabesh, Roberto L. Castro, Torsten Hoefler, Dan Alistarh

ICLRW 2025 QuEST: Training Accurate LLMs over Highly-Compressed Weights and Activation Andrei Panferov, Jiale Chen, Soroush Tabesh, Roberto L. Castro, Mahdi Nikdan, Dan Alistarh

NeurIPS 2025 Quartet: Native FP4 Training Can Be Optimal for Large Language Models Roberto L. Castro, Andrei Panferov, Soroush Tabesh, Oliver Sieberling, Jiale Chen, Mahdi Nikdan, Saleh Ashkboos, Dan Alistarh