Improving Depth-First PN-Search: 1 + epsilon Trick. - Jakub Pawlewicz; Lukasz Lew (Computers and Games, 2006)

Pawlak Collaboration Graph and Its Properties. - Zbigniew Suraj; Piotr Grochowalski; Lukasz Lew (RSFDGrC, 2011)

Discovering Patterns of Collaboration in Rough Set Research: Statistical and Graph-Theoretical Approach. - Zbigniew Suraj; Piotr Grochowalski; Lukasz Lew (RSKT, 2011)

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. - Denis Baylor; Eric Breck; Heng-Tze Cheng; Noah Fiedel; Chuan Yu Foo; Zakaria Haque; Salem Haykal; Mustafa Ispir; Vihan Jain; Levent Koc 001; Chiu Yuen Koo; Lukasz Lew; et al. (KDD, 2017)

Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. - AmirAli Abdolrashidi; Lisa Wang; Shivani Agrawal; Jonathan Malmaud; Oleg Rybakov; Chas Leichner; Lukasz Lew (CVPR Workshops, 2021)

PokeBNN: A Binary Pursuit of Lightweight Accuracy. - Yichi Zhang 006; Zhiru Zhang; Lukasz Lew (CVPR, 2022)

4-bit Conformer with Native Quantization Aware Training for Speech Recognition. - Shaojin Ding; Phoenix Meadowlark; Yanzhang He; Lukasz Lew; Shivani Agrawal; Oleg Rybakov (INTERSPEECH, 2022)

Binarized Neural Machine Translation. - Yichi Zhang 006; Ankush Garg; Yuan Cao; Lukasz Lew; Behrooz Ghorbani; Zhiru Zhang; Orhan Firat (NeurIPS, 2023)

PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. - Marina Neseem; Conor McCullough; Randy Hsin; Chas Leichner; Shan Li 001; In Suk Chong; Andrew G. Howard; Lukasz Lew; Sherief Reda; Ville-Mikko Rautio; Daniele Moro (CVPR, 2024)

Custom Gradient Estimators are Straight-Through Estimators in Disguise. - Matt Schoenbauer; Daniele Moro; Lukasz Lew; Andrew Howard 002 (CoRR, 2024)

Robust Training of Neural Networks at Arbitrary Precision and Sparsity. - Chengxi Ye; Grace Chu; Yanfeng Liu; Yichi Zhang; Lukasz Lew; Andrew G. Howard (CoRR, 2024)