Joint clock recovery and baseband combining for the diversity radio channel. - Franco Guglielmi; Carlo Luschi; Arnaldo Spalvieri (IEEE Trans. Commun., 1996)

Low complexity source controlled channel decoding in a GSM system. - Paul Strauch; Carlo Luschi; Magnus Sandell; Ran Yan (ICASSP, 1999)

Advanced signal-processing algorithms for energy-efficient wireless communications. - Carlo Luschi; Magnus Sandell; Paul Strauch; Jian-Jun Wu; Costel Ilas; Ping-Wen Ong; Romain Baeriswyl; Frederic Battaglia; Spyros Karageorgis; Ran-Hong Yan (Proc. IEEE, 2000)

Nonparametric trellis equalization in the presence of non-Gaussian interference. - Carlo Luschi; Bernard Mulgrew (IEEE Trans. Commun., 2003)

Estimation of the output error statistics of space-time equalization in an antenna array EGPRS receiver with soft-decision decoding. - Carlo Luschi; Bernard Mulgrew (IEEE Trans. Wirel. Commun., 2005)

Revisiting Small Batch Training for Deep Neural Networks. - Dominic Masters; Carlo Luschi (CoRR, 2018)

Improving Neural Network Training in Low Dimensional Random Bases. - Frithjof Gressmann; Zach Eaton-Rosen; Carlo Luschi (NeurIPS, 2020)

Parallel Training of Deep Networks with Local Updates. - Michael Laskin; Luke Metz; Seth Nabarrao; Mark Saroufim; Badreddine Noune; Carlo Luschi; Jascha Sohl-Dickstein; Pieter Abbeel (CoRR, 2020)

Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence. - Antoine Labatie; Dominic Masters; Zach Eaton-Rosen; Carlo Luschi (NeurIPS, 2021)

Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training. - Dominic Masters; Antoine Labatie; Zach Eaton-Rosen; Carlo Luschi (CoRR, 2021)

GroupBERT: Enhanced Transformer Architecture with Efficient Grouped Structures. - Ivan Chelombiev; Daniel Justus; Douglas Orr; Anastasia Dietrich; Frithjof Gressmann; Alexandros Koliousis; Carlo Luschi (CoRR, 2021)

Towards Structured Dynamic Sparse Pre-Training of BERT. - Anastasia Dietrich; Frithjof Gressmann; Douglas Orr; Ivan Chelombiev; Daniel Justus; Carlo Luschi (CoRR, 2021)

8-bit Numerical Formats for Deep Neural Networks. - Badreddine Noune; Philip Jones; Daniel Justus; Dominic Masters; Carlo Luschi (CoRR, 2022)

BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion. - Alberto Cattaneo; Daniel Justus; Harry Mellor; Douglas Orr; Jérôme Maloberti; Zhenying Liu; Thorin Farnsworth; Andrew W. Fitzgibbon; Blazej Banaszewski; Carlo Luschi (CoRR, 2022)

Unit Scaling: Out-of-the-Box Low-Precision Training. - Charlie Blake; Douglas Orr; Carlo Luschi (ICML, 2023)

Generating QM1B with PySCFIPU. - Alexander Mathiasen; Hatem Helal; Kerstin Klaser 001; Paul Balanca; Josef Dean; Carlo Luschi; Dominique Beaini; Andrew W. Fitzgibbon; Dominic Masters (NeurIPS, 2023)

Training and inference of large language models using 8-bit floating point. - Sergio P. Perez; Yan Zhang; James Briggs; Charlie Blake; Josh Levy-Kramer; Paul Balanca; Carlo Luschi; Stephen Barlow; Andrew William Fitzgibbon (CoRR, 2023)

SparQ Attention: Bandwidth-Efficient LLM Inference. - Luka Ribar; Ivan Chelombiev; Luke Hudlass-Galley; Charlie Blake; Carlo Luschi; Douglas Orr (ICML, 2024)

Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory. - Alexander Mathiasen; Hatem Helal; Paul Balanca; Adam Krzywaniak; Ali Parviz; Frederik Hvilshøj; Blazej Banaszewski; Carlo Luschi; Andrew William Fitzgibbon (CoRR, 2024)

Scalify: scale propagation for efficient low-precision LLM training. - Paul Balanca; Sam Hosegood; Carlo Luschi; Andrew W. Fitzgibbon (CoRR, 2024)

The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models. - Alberto Cattaneo; Stephen Bonner; Thomas Martynec; Carlo Luschi; Ian P. Barrett; Daniel Justus (CoRR, 2024)

u-μP: The Unit-Scaled Maximal Update Parametrization. - Charlie Blake; Constantin Eichenberg; Josef Dean; Lukas Balles; Luke Yuri Prince; Björn Deiseroth; Andrés Felipe Cruz-Salinas; Carlo Luschi; Samuel Weinbach; Douglas Orr (ICLR, 2025)

Optimal Formats for Weight Quantisation. - Douglas Orr; Luka Ribar; Carlo Luschi (CoRR, 2025)