Carlos Eduardo Rosar Kós Lassance

According to our database, Carlos Eduardo Rosar Kós Lassance authored at least 47 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SPLADE-v3: New baselines for SPLADE.

Carlos Lassance, Hervé Déjean, Thibault Formal, Stéphane Clinchant

CoRR, 2024

Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE.

Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto

Proceedings of the Advances in Information Retrieval, 2024

2023

End-to-End Retrieval with Learned Dense and Sparse Representations Using Lucene.

Haonan Chen, Carlos Lassance, Jimmy Lin

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

The tale of two MS MARCO - and their unfair comparisons.

Carlos Lassance, Stéphane Clinchant

CoRR, 2023

Extending English IR methods to multi-lingual IR.

Carlos Lassance

CoRR, 2023

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022.

Carlos Lassance, Stéphane Clinchant

CoRR, 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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Static Pruning Study on Sparse Neural Retrievers.

Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

The Tale of Two MSMARCO - and Their Unfair Comparisons.

Carlos Lassance, Stéphane Clinchant

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Benchmarking Middle-Trained Language Models for Neural Search.

Hervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Parameter-Efficient Sparse Retrievers and Rerankers Using Adapters.

Vaishali Pal, Carlos Lassance, Hervé Déjean, Stéphane Clinchant

Proceedings of the Advances in Information Retrieval, 2023

An Experimental Study on Pretraining Transformers from Scratch for IR.

Carlos Lassance, Hervé Déjean, Stéphane Clinchant

Proceedings of the Advances in Information Retrieval, 2023

2022

TLDR: Twin Learning for Dimensionality Reduction.

Yannis Kalantidis, Carlos Eduardo Rosar Kós Lassance, Jon Almazán, Diane Larlus

Trans. Mach. Learn. Res., 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 Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022.

Carlos Lassance, Stéphane Clinchant

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT).

Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

An Efficiency Study for SPLADE Models.

Carlos Lassance, Stéphane Clinchant

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective.

Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Improved Visual Localization via Graph Filtering.

Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian Reid

J. Imaging, 2021

A Study on Token Pruning for ColBERT.

Carlos Lassance, Maroua Maachou, Joohee Park, 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

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval.

Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant

CoRR, 2021

Representing Deep Neural Networks Latent Space Geometries with Graphs.

Carlos Lassance, Vincent Gripon, Antonio Ortega

Algorithms, 2021

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2021.

Carlos Lassance, Arnaud Sors, Stéphane Clinchant, Thibault Formal, Benjamin Piwowarski

Proceedings of the Thirtieth Text REtrieval Conference, 2021

Composite Code Sparse Autoencoders for First Stage Retrieval.

Carlos Lassance, Thibault Formal, Stéphane Clinchant

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

GReS: Workshop on Graph Neural Networks for Recommendation and Search.

Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Improving Classification Accuracy With Graph Filtering.

Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Graphs for deep learning representations. (Graphes pour représenter les espaces latents des réseaux neuronaux profonds).

Carlos Eduardo Rosar Kós Lassance

PhD thesis, 2020

Graphs for deep learning representations.

Carlos Lassance

CoRR, 2020

DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems.

Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene

CoRR, 2020

Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs.

Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon

CoRR, 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, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Graph Topology Inference Benchmarks for Machine Learning.

Carlos Lassance, Vincent Gripon, Gonzalo Mateos

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Attention Based Pruning for Shift Networks.

Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Geometric Knowledge Distillation with Graphs.

Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Improved Visual Localization via Graph Smoothing.

Carlos Eduardo Rosar Kós Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian D. Reid

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

A Unified Deep Learning Formalism For Processing Graph Signals.

Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon

CoRR, 2019

Structural Robustness for Deep Learning Architectures.

Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega

Proceedings of the IEEE Data Science Workshop, 2019

Introducing Graph Smoothness Loss for Training Deep Learning Architectures.

Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega

Proceedings of the IEEE Data Science Workshop, 2019

2018

Laplacian Power Networks: Bounding Indicator Function Smoothness for Adversarial Defense.

Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Antonio Ortega

CoRR, 2018

Graph-Projected Signal Processing.

Nicolas Grelier, Carlos Eduardo Rosar Kós Lassance, Elsa Dupraz, Vincent Gripon

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Matching Convolutional Neural Networks without Priors about Data.

Carlos Eduardo Rosar Kós Lassance, Jean-Charles Vialatte, Vincent Gripon

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

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

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

2016

Assembly output codes for learning neural networks.

Philippe Tigreat, Carlos Eduardo Rosar Kós Lassance, Xiaoran Jiang, Vincent Gripon, Claude Berrou

Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016

2015

The Not-so-Distant Future: Distance-Bounding Protocols on Smartphones.

Sébastien Gambs, Carlos Eduardo Rosar Kós Lassance, Cristina Onete

Proceedings of the Smart Card Research and Advanced Applications, 2015