| 2026 | ACL | DRIV-EX: Counterfactual Explanations for Driving LLMs. | Amaia Cardiel, Eloi Zablocki, Elias Ramzi, ric Gaussier |
| 2026 | ACL | Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian Languages. | Mitodru Niyogi, ric Gaussier, Arnab Bhattacharya |
| 2026 | LREC | AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from Scratch. | Mitodru Niyogi, ric Gaussier, Arnab Bhattacharya |
| 2025 | ESORICS | HENDRICS: A Hardware-in-the-Loop Testbed for Enhanced Intrusion Detection, Response and Recovery of Industrial Control Systems. | Lalie Arnoud, Zo Lagache, Pierre-Henri Thevenon, Alos Champenois, Victor Breux, Maxime Puys, ric Gaussier, Oum-El-Kheir Aktouf |
| 2025 | UAI | Complete Characterization for Adjustment in Summary Causal Graphs of Time Series. | Clment Yvernes, Emilie Devijver, ric Gaussier |
| 2024 | CIKM | On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. | Lei Zan, Charles K. Assaad, Emilie Devijver, ric Gaussier, Ali At-Bachir |
| 2024 | COLING | Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling. | Minghan Li, ric Gaussier |
| 2024 | COLING | A Closer Look at Clustering Bilingual Comparable Corpora. | Anna Laskina, ric Gaussier, Galle Calvary |
| 2024 | UAI | Identifiability of total effects from abstractions of time series causal graphs. | Charles K. Assaad, Emilie Devijver, ric Gaussier, Gregor Goessler, Anouar Meynaoui |
| 2023 | IJCAI | Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract). | Charles K. Assaad, Emilie Devijver, ric Gaussier |
| 2022 | AAAI | Listwise Learning to Rank Based on Approximate Rank Indicators. | Thibaut Thonet, Yagmur Gizem Cinar, ric Gaussier, Minghan Li, Jean-Michel Renders |
| 2022 | SIGIR | BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval. | Minghan Li, ric Gaussier |
| 2022 | UAI | Discovery of extended summary graphs in time series. | Charles K. Assaad, Emilie Devijver, ric Gaussier |
| 2021 | EACL | Globalizing BERT-based Transformer Architectures for Long Document Summarization. | Quentin Grail, Julien Perez, ric Gaussier |
| 2021 | ECIR | Valuation of Startups: A Machine Learning Perspective. | Mariia Garkavenko, Hamid Mirisaee, ric Gaussier, Agns Guerraz, Cdric Lagnier |
| 2021 | SIGIR | KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. | Minghan Li, ric Gaussier |
| 2020 | CoNLL | Word Representations Concentrate and This is Good News! | Romain Couillet, Yagmur Gizem Cinar, ric Gaussier, Muhammad Imran |
| 2020 | ECIR | Seed-Guided Deep Document Clustering. | Maziar Moradi Fard, Thibaut Thonet, ric Gaussier |
| 2020 | UAI | Mixed-Membership Stochastic Block Models for Weighted Networks. | Adrien Dulac, ric Gaussier, Christine Largeron |
| 2019 | FlAIRS | Implicit Discourse Relation Classification with Syntax-Aware Contextualized Word Representations. | Diana Nicoleta Popa, Julien Perez, James Henderson, ric Gaussier |
| 2019 | KDD | Scaling Causal Inference in Additive Noise Models. | Charles K. Assaad, Emilie Devijver, ric Gaussier, Ali At-Bachir |
| 2018 | INLG | Char2char Generation with Reranking for the E2E NLG Challenge. | Shubham Agarwal, Marc Dymetman, ric Gaussier |
| 2018 | WWW | Semantic Annotation in the Biomedical Domain: Large-scale Classification and BioASQ. | ric Gaussier |
| 2017 | ACL | Topical Coherence in LDA-based Models through Induced Segmentation. | Hesam Amoualian, Wei Lu, ric Gaussier, Georgios Balikas, Massih-Reza Amini, Marianne Clausel |
| 2017 | CICLING | Efficient Association Rules Selecting for Automatic Query Expansion. | Ahlem Bouziri, Chiraz Latiri, ric Gaussier |
| 2017 | DSAA | A Study of Stochastic Mixed Membership Models for Link Prediction in Social Networks. | Adrien Dulac, ric Gaussier, Christine Largeron |
| 2017 | ICONIP | Position-Based Content Attention for Time Series Forecasting with Sequence-to-Sequence RNNs. | Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, ric Gaussier, Ali At-Bachir, Vadim V. Strijov |
| 2017 | PAKDD | Bilingual Lexicon Extraction from Comparable Corpora Based on Closed Concepts Mining. | Mohamed Chebel, Chiraz Latiri, ric Gaussier |
| 2016 | COLING | Modeling topic dependencies in semantically coherent text spans with copulas. | Georgios Balikas, Hesam Amoualian, Marianne Clausel, ric Gaussier, Massih-Reza Amini |
| 2016 | COLING | Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge. | Raghav Goyal, Marc Dymetman, ric Gaussier |
| 2016 | DSAA | Task Composition in Crowdsourcing. | Sihem Amer-Yahia, ric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama |
| 2016 | ICML | Complex Embeddings for Simple Link Prediction. | Tho Trouillon, Johannes Welbl, Sebastian Riedel, ric Gaussier, Guillaume Bouchard |
| 2016 | KDD | Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams. | Hesam Amoualian, Marianne Clausel, ric Gaussier, Massih-Reza Amini |
| 2015 | AAAI | Improved Local Search for Binary Matrix Factorization. | Seyed Hamid Mirisaee, ric Gaussier, Alexandre Termier |
| 2015 | CIKM | Building Representative Composite Items. | Vincent Leroy, Sihem Amer-Yahia, ric Gaussier, Seyed Hamid Mirisaee |
| 2015 | DEXA | Multilingual Documents Clustering Based on Closed Concepts Mining. | Mohamed Chebel, Chiraz Latiri, ric Gaussier |
| 2015 | IC3K | Learning Query Expansion from Association Rules Between Terms. | Ahlem Bouziri, Chiraz Latiri, ric Gaussier, Yassin Belhareth |
| 2015 | ICONIP | Supervised Topic Classification for Modeling a Hierarchical Conference Structure. | Mikhail P. Kuznetsov, Marianne Clausel, Massih-Reza Amini, ric Gaussier, Vadim V. Strijov |
| 2015 | ICONIP | Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning. | Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, ric Gaussier, Massih-Reza Amini |
| 2015 | ICTIR | Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections. | Parantapa Goswami, Massih-Reza Amini, ric Gaussier |
| 2015 | ICTIR | Study of Heuristic IR Constraints Under Function Discovery Framework. | Parantapa Goswami, Massih-Reza Amini, ric Gaussier |
| 2015 | IDA | Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. | Georgios Balikas, Ioannis Partalas, ric Gaussier, Rohit Babbar, Massih-Reza Amini |
| 2015 | IDA | On Binary Reduction of Large-Scale Multiclass Classification Problems. | Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, ric Gaussier |
| 2015 | KES | Extraction of Interlingual Documents Clusters Based on Closed Concepts Mining. | Mohamed Chebel, Chiraz Latiri, ric Gaussier |
| 2015 | SC | Improving backfilling by using machine learning to predict running times. | ric Gaussier, David Glesser, Valentin Reis, Denis Trystram |
| 2014 | DSAA | Itemset approximation using Constrained Binary Matrix Factorization. | Seyed Hamid Mirisaee, ric Gaussier, Alexandre Termier |
| 2014 | ECIR | Exploring the Space of IR Functions. | Parantapa Goswami, Simon Moura, ric Gaussier, Massih-Reza Amini, Francis Maes |
| 2014 | SIGIR | Re-ranking approach to classification in large-scale power-law distributed category systems. | Rohit Babbar, Ioannis Partalas, ric Gaussier, Massih-Reza Amini |
| 2014 | WSDM | Web-scale classification: web classification in the big data era. | Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artires, Patrick Gallinari, ric Gaussier, Georgios Paliouras |
| 2013 | CIKM | Transferring knowledge with source selection to learn IR functions on unlabeled collections. | Parantapa Goswami, Massih-Reza Amini, ric Gaussier |
| 2013 | ECIR | Estimation of the Collection Parameter of Information Models for IR. | Parantapa Goswami, ric Gaussier |
| 2013 | ECIR | Predicting Information Diffusion in Social Networks Using Content and User's Profiles. | Cdric Lagnier, Ludovic Denoyer, ric Gaussier, Patrick Gallinari |
| 2013 | ICONIP | Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification. | Rohit Babbar, Ioannis Partalas, ric Gaussier, Massih-Reza Amini |
| 2013 | ICTIR | A Theoretical Analysis of Pseudo-Relevance Feedback Models. | Stphane Clinchant, ric Gaussier |
| 2013 | IDA | Learning Multiple Temporal Matching for Time Series Classification. | Cedric Frambourg, Ahlame Douzal Chouakria, ric Gaussier |
| 2012 | CIKM | On empirical tradeoffs in large scale hierarchical classification. | Rohit Babbar, Ioannis Partalas, ric Gaussier, Ccile Amblard |
| 2012 | ECIR | An Information-Based Cross-Language Information Retrieval Model. | Bo Li, ric Gaussier |
| 2012 | ICONIP | Adaptive Classifier Selection in Large-Scale Hierarchical Classification. | Ioannis Partalas, Rohit Babbar, ric Gaussier, Ccile Amblard |
| 2012 | RecSys | Toward a New Protocol to Evaluate Recommender Systems. | Frank Meyer, Franoise Fessant, Fabrice Clrot, ric Gaussier |
| 2011 | ACL | Clustering Comparable Corpora For Bilingual Lexicon Extraction. | Bo Li, ric Gaussier, Akiko N. Aizawa |
| 2011 | ICTIR | Is Document Frequency Important for PRF? | Stphane Clinchant, ric Gaussier |
| 2011 | SIGIR | Do IR models satisfy the TDC retrieval constraint. | Stphane Clinchant, ric Gaussier |
| 2010 | CBMI | Integration of spatial relationships in visual language model for scene retrieval. | Trong-Ton Pham, Philippe Mulhem, Loc Maisonnasse, ric Gaussier, Ali At-Bachir |
| 2010 | COLING | Improving Corpus Comparability for Bilingual Lexicon Extraction from Comparable Corpora. | Bo Li, ric Gaussier |
| 2010 | ICMLA | Similarity Learning in Nearest Neighbor and Relief Algorithm. | Ali Mustafa Qamar, ric Gaussier |
| 2010 | SIGIR | Information-based models for ad hoc IR. | Stphane Clinchant, ric Gaussier |
| 2009 | CIKM | Retrieval constraints and word frequency distributions: a log-logistic model for IR. | Stphane Clinchant, ric Gaussier |
| 2009 | ECIR | Model Fusion in Conceptual Language Modeling. | Loc Maisonnasse, ric Gaussier, Jean-Pierre Chevallet |
| 2009 | ICDM | Online and Batch Learning of Generalized Cosine Similarities. | Ali Mustafa Qamar, ric Gaussier |
| 2009 | ICTIR | Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR. | Stphane Clinchant, ric Gaussier |
| 2008 | ECIR | The BNB Distribution for Text Modeling. | Stphane Clinchant, ric Gaussier |
| 2008 | ICDM | Similarity Learning for Nearest Neighbor Classification. | Ali Mustafa Qamar, ric Gaussier, Jean-Pierre Chevallet, Joo-Hwee Lim |
| 2007 | SIGIR | Revisiting the dependence language model for information retrieval. | Loc Maisonnasse, ric Gaussier, Jean-Pierre Chevallet |
| 2006 | ECIR | Lexical Entailment for Information Retrieval. | Stphane Clinchant, Cyril Goutte, ric Gaussier |
| 2006 | ICML | Categorization in multiple category systems. | Jean-Michel Renders, ric Gaussier, Cyril Goutte, Franois Pacull, Gabriela Csurka |
| 2005 | ECIR | A Probabilistic Interpretation of Precision, Recall and | Cyril Goutte, ric Gaussier |
| 2005 | NAACL | Translating with Non-contiguous Phrases. | Michel Simard, Nicola Cancedda, Bruno Cavestro, Marc Dymetman, ric Gaussier, Cyril Goutte, Kenji Yamada, Philippe Langlais, Arne Mauser |
| 2005 | SIGIR | Relation between PLSA and NMF and implications. | ric Gaussier, Cyril Goutte |
| 2004 | ACL | A Geometric View on Bilingual Lexicon Extraction from Comparable Corpora. | ric Gaussier, Jean-Michel Renders, Irina Matveeva, Cyril Goutte, Herv Djean |
| 2004 | ACL | Aligning words using matrix factorisation. | Cyril Goutte, Kenji Yamada, ric Gaussier |
| 2003 | ISMB | Combining NLP and probabilistic categorisation for document and term selection for Swiss-Prot medical annotation. | Pavel B. Dobrokhotov, Cyril Goutte, Anne-Lise Veuthey, ric Gaussier |
| 2003 | NAACL | Reducing Parameter Space for Word Alignment. | Herv Djean, ric Gaussier, Cyril Goutte, Kenji Yamada |
| 2002 | COLING | An Approach Based on Multilingual Thesauri and Model Combination for Bilingual Lexicon Extraction. | Herv Djean, ric Gaussier, Fatiha Sadat |
| 2002 | CoNLL | Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition. | Cyril Goutte, Herv Djean, ric Gaussier, Nicola Cancedda, Jean-Michel Renders |
| 2002 | ECIR | A Hierarchical Model for Clustering and Categorising Documents. | ric Gaussier, Cyril Goutte, Kris Popat, Francine Chen |
| 2001 | CoNLL | Probabilistic models for PP-attachment resolution and NP analysis. | ric Gaussier, Nicola Cancedda |
| 2001 | SMC | Probabilistic models for terminology extraction and knowledge structuring from documents. | ric Gaussier, Nicola Cancedda |
| 2000 | LREC | Coreference Resolution Evaluation Based on Descriptive Specificity. | Franois Trouilleux, ric Gaussier, Gabriel G. Bs, Annie Zaenen |
| 1998 | ACL | Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora. | ric Gaussier |
| 1994 | COLING | Towards Automatic Extraction of Monolingual and Bilingual Terminology. | Batrice Daille, ric Gaussier, Jean-Marc Lang |