The Not-so-Distant Future: Distance-Bounding Protocols on Smartphones. - Sébastien Gambs; Carlos Eduardo Rosar Kós Lassance; Cristina Onete (CARDIS, 2015)

Assembly output codes for learning neural networks. - Philippe Tigreat; Carlos Eduardo Rosar Kós Lassance; Xiaoran Jiang; Vincent Gripon; Claude Berrou (ISTC, 2016)

Large-Scale Memory of Sequences Using Binary Sparse Neural Networks on GPU. - Max Raphael Sobroza Marques; Ghouthi Boukli Hacene; Carlos Eduardo Rosar Kós Lassance; Pierre-Henri Horrein (HPCS, 2017)

Matching Convolutional Neural Networks without Priors about Data. - Carlos Eduardo Rosar Kós Lassance; Jean-Charles Vialatte; Vincent Gripon (DSW, 2018)

Graph-Projected Signal Processing. - Nicolas Grelier; Carlos Eduardo Rosar Kós Lassance; Elsa Dupraz; Vincent Gripon (GlobalSIP, 2018)

Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense. - Carlos Eduardo Rosar Kós Lassance; Vincent Gripon; Antonio Ortega (CoRR, 2018)

Introducing Graph Smoothness Loss for Training Deep Learning Architectures. - Myriam Bontonou; Carlos Eduardo Rosar Kós Lassance; Ghouthi Boukli Hacene; Vincent Gripon; Jian Tang 005; Antonio Ortega (DSW, 2019)

Structural Robustness for Deep Learning Architectures. - Carlos Eduardo Rosar Kós Lassance; Vincent Gripon; Jian Tang 005; Antonio Ortega (DSW, 2019)

A Unified Deep Learning Formalism For Processing Graph Signals. - Myriam Bontonou; Carlos Eduardo Rosar Kós Lassance; Jean-Charles Vialatte; Vincent Gripon (CoRR, 2019)

Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. - Myriam Bontonou; Carlos Eduardo Rosar Kós Lassance; Vincent Gripon; Nicolas Farrugia (CoRR, 2019)

Improved Visual Localization via Graph Smoothing. - Carlos Eduardo Rosar Kós Lassance; Yasir Latif; Ravi Garg; Vincent Gripon; Ian D. Reid 001 (CoRR, 2019)

Deep Geometric Knowledge Distillation with Graphs. - Carlos Lassance; Myriam Bontonou; Ghouthi Boukli Hacene; Vincent Gripon; Jian Tang 005; Antonio Ortega (ICASSP, 2020)

Attention Based Pruning for Shift Networks. - Ghouthi Boukli Hacene; Carlos Lassance; Vincent Gripon; Matthieu Courbariaux; Yoshua Bengio (ICPR, 2020)

Graph Topology Inference Benchmarks for Machine Learning. - Carlos Lassance; Vincent Gripon; Gonzalo Mateos (MLSP, 2020)

Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. - Yiding Jiang; Parth Natekar; Manik Sharma; Sumukh K. Aithal; Dhruva Kashyap; Natarajan Subramanyam; Carlos Lassance; Daniel M. Roy 001; Gintare Karolina Dziugaite; Suriya Gunasekar; Isabelle Guyon; Pierre Foret; et al. (NeurIPS (Competition and Demos), 2020)

Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs. - Carlos Lassance; Louis Béthune; Myriam Bontonou; Mounia Hamidouche; Vincent Gripon (CoRR, 2020)

DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems. - Vincent Gripon; Carlos Lassance; Ghouthi Boukli Hacene (CoRR, 2020)

Graphs for deep learning representations. - Carlos Lassance (CoRR, 2020)

Graphs for deep learning representations. (Graphes pour représenter les espaces latents des réseaux neuronaux profonds). - Carlos Eduardo Rosar Kós Lassance (2020)

Improving Classification Accuracy With Graph Filtering. - Mounia Hamidouche; Carlos Lassance; Yuqing Hu 001; Lucas Drumetz; Bastien Pasdeloup; Vincent Gripon (ICIP, 2021)

GReS: Workshop on Graph Neural Networks for Recommendation and Search. - Thibaut Thonet; Stéphane Clinchant; Carlos Lassance; Elvin Isufi; Jiaqi Ma 001; Yutong Xie 007; Jean-Michel Renders; Michael M. Bronstein (RecSys, 2021)

Composite Code Sparse Autoencoders for First Stage Retrieval. - Carlos Lassance; Thibault Formal; Stéphane Clinchant (SIGIR, 2021)

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2021. - Carlos Lassance; Arnaud Sors; Stéphane Clinchant; Thibault Formal; Benjamin Piwowarski (TREC, 2021)

Representing Deep Neural Networks Latent Space Geometries with Graphs. - Carlos Lassance; Vincent Gripon; Antonio Ortega (Algorithms, 2021)

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval. - Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant (CoRR, 2021)

Graphs as Tools to Improve Deep Learning Methods. - Carlos Lassance; Myriam Bontonou; Mounia Hamidouche; Bastien Pasdeloup; Lucas Drumetz; Vincent Gripon (CoRR, 2021)

A Study on Token Pruning for ColBERT. - Carlos Lassance; Maroua Maachou; Joohee Park; Stéphane Clinchant (CoRR, 2021)

Improved Visual Localization via Graph Filtering. - Carlos Lassance; Yasir Latif; Ravi Garg; Vincent Gripon; Ian Reid 001 (J. Imaging, 2021)

From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. - Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant (SIGIR, 2022)

An Efficiency Study for SPLADE Models. - Carlos Lassance; Stéphane Clinchant (SIGIR, 2022)

Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT). - Carlos Lassance; Maroua Maachou; Joohee Park; Stéphane Clinchant (SIGIR, 2022)

Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022. - Carlos Lassance; Stéphane Clinchant (TREC, 2022)

Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. - Jimmy Lin; David Alfonso-Hermelo; Vitor Jeronymo; Ehsan Kamalloo; Carlos Lassance; Rodrigo Nogueira 001; Odunayo Ogundepo; Mehdi Rezagholizadeh; Nandan Thakur; Jheng-Hong Yang; Xinyu Zhang 018 (TREC, 2022)

TLDR: Twin Learning for Dimensionality Reduction. - Yannis Kalantidis; Carlos Eduardo Rosar Kós Lassance; Jon Almazán; Diane Larlus (Trans. Mach. Learn. Res., 2022)

An Experimental Study on Pretraining Transformers from Scratch for IR. - Carlos Lassance; Hervé Déjean; Stéphane Clinchant (ECIR (1), 2023)

Parameter-Efficient Sparse Retrievers and Rerankers Using Adapters. - Vaishali Pal; Carlos Lassance; Hervé Déjean; Stéphane Clinchant (ECIR (2), 2023)

Benchmarking Middle-Trained Language Models for Neural Search. - Hervé Déjean; Stéphane Clinchant; Carlos Lassance; Simon Lupart; Thibault Formal (SIGIR, 2023)

The Tale of Two MSMARCO - and Their Unfair Comparisons. - Carlos Lassance; Stéphane Clinchant (SIGIR, 2023)

A Static Pruning Study on Sparse Neural Retrievers. - Carlos Lassance; Simon Lupart; Hervé Déjean; Stéphane Clinchant; Nicola Tonellotto (SIGIR, 2023)

AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. - Jheng-Hong Yang; Carlos Lassance; Rafael Sampaio de Rezende; Krishna Srinivasan; Miriam Redi; Stéphane Clinchant; Jimmy Lin (SIGIR, 2023)

Naverloo @ TREC Deep Learning and Neuclir 2023: As Easy as Zero, One, Two, Three - Cascading Dual Encoders, Mono, Duo, and Listo for Ad-Hoc Retrieval. - Carlos Lassance; Ronak Pradeep; Jimmy Lin (TREC, 2023)

TREC2023 AToMiC Overview. - Jheng-Hong Yang; Carlos Lassance; Rafael Sampaio de Rezende; Krishna Srinivasan; Miriam Redi; Stéphane Clinchant; Jimmy Lin (TREC, 2023)

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022. - Carlos Lassance; Stéphane Clinchant (CoRR, 2023)

Extending English IR methods to multi-lingual IR. - Carlos Lassance (CoRR, 2023)

The tale of two MS MARCO - and their unfair comparisons. - Carlos Lassance; Stéphane Clinchant (CoRR, 2023)

Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard. - Ehsan Kamalloo; Nandan Thakur; Carlos Lassance; Xueguang Ma; Jheng-Hong Yang; Jimmy Lin (CoRR, 2023)

End-to-End Retrieval with Learned Dense and Sparse Representations Using Lucene. - Arthur Haonan Chen; Carlos Lassance; Jimmy Lin (CoRR, 2023)

Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. - Carlos Lassance; Hervé Déjean; Stéphane Clinchant; Nicola Tonellotto (ECIR (2), 2024)

Neural Lexical Search with Learned Sparse Retrieval. - Andrew Yates; Carlos Lassance; Sean MacAvaney; Thong Nguyen 004; Yibin Lei (SIGIR-AP, 2024)

SPLATE: Sparse Late Interaction Retrieval. - Thibault Formal; Stéphane Clinchant; Hervé Déjean; Carlos Lassance (SIGIR, 2024)

Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. - Ehsan Kamalloo; Nandan Thakur; Carlos Lassance; Xueguang Ma; Jheng-Hong Yang; Jimmy Lin (SIGIR, 2024)

SPLADE-v3: New baselines for SPLADE. - Carlos Lassance; Hervé Déjean; Thibault Formal; Stéphane Clinchant (CoRR, 2024)

Towards Effective and Efficient Sparse Neural Information Retrieval. - Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant (ACM Trans. Inf. Syst., 2024)

Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. - Jimmy Lin; Arthur Haonan Chen; Carlos Lassance; Xueguang Ma; Ronak Pradeep; Tommaso Teofili; Jasper Xian; Jheng-Hong Yang; Brayden Zhong; Vincent Zhong (SIGIR, 2025)

Neural Lexical Search with Learned Sparse Retrieval. - Andrew Yates; Carlos Lassance; Cosimo Rulli; Eugene Yang; Sean MacAvaney; Siddharth A. K. Singh; Thong Nguyen 004; Yibin Lei (SIGIR, 2025)