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ORCIDChristian Raymond
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2020 – today
- 2024
[i8]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning. CoRR abs/2403.00865 (2024)- [i7]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Meta-Learning Neural Procedural Biases. CoRR abs/2406.07983 (2024) - [i6]Christian Raymond:
Meta-Learning Loss Functions for Deep Neural Networks. CoRR abs/2406.09713 (2024) - 2023
- [j8]Christian Raymond
, Qi Chen, Bing Xue, Mengjie Zhang:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13699-13714 (2023) - [c47]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. GECCO 2023: 1184-1193 - [i5]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Online Loss Function Learning. CoRR abs/2301.13247 (2023) - 2022
- [c46]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. EuroGP 2022: 51-67 - [c45]Martin Dornier, Philippe-Henri Gosselin, Christian Raymond, Yann Ricquebourg, Bertrand Coüasnon:
SCAF: Skip-Connections in Auto-encoder for Face Alignment with Few Annotated Data. ICIAP (1) 2022: 425-437 - [i4]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. CoRR abs/2209.08907 (2022) - 2021
- [c44]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. GECCO Companion 2021: 165-166 - [c43]Frédéric Béchet, Christian Raymond, Achraf Hamane, Rim Abrougui, Gabriel Marzinotto, Géraldine Damnati:
Can We Predict How Challenging Spoken Language Understanding Corpora Are Across Sources, Languages, and Domains? IWSDS 2021: 33-45 - 2020
- [c42]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Adaptive weighted splines: a new representation to genetic programming for symbolic regression. GECCO 2020: 1003-1011 - [c41]Natalia A. Tomashenko, Christian Raymond, Antoine Caubrière, Renato De Mori, Yannick Estève:
Dialogue History Integration into End-to-End Signal-to-Concept Spoken Language Understanding Systems. ICASSP 2020: 8509-8513 - [i3]Natalia A. Tomashenko, Christian Raymond, Antoine Caubrière, Renato De Mori, Yannick Estève:
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems. CoRR abs/2002.06012 (2020)
2010 – 2019
- 2019
- [j7]Naima Zerari, Samir Abdelhamid, Hassen Bouzgou, Christian Raymond:
Bidirectional deep architecture for Arabic speech recognition. Open Comput. Sci. 9(1): 92-102 (2019) - [c40]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming with Rademacher Complexity for Symbolic Regression. CEC 2019: 2657-2664 - [c39]Vedran Vukotic, Christian Raymond:
Mining Polysemous Triplets with Recurrent Neural Networks for Spoken Language Understanding. INTERSPEECH 2019: 1178-1182 - [c38]Frédéric Béchet, Christian Raymond:
Benchmarking Benchmarks: Introducing New Automatic Indicators for Benchmarking Spoken Language Understanding Corpora. INTERSPEECH 2019: 4145-4149 - 2018
- [j6]Carlos Huertas, Reyes Juárez-Ramírez, Christian Raymond:
Heat Map Based Feature Ranker: In depth comparison with popular methods. Intell. Data Anal. 22(5): 1009-1037 (2018) - [j5]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
A Crossmodal Approach to Multimodal Fusion in Video Hyperlinking. IEEE Multim. 25(2): 11-23 (2018) - [c37]Naima Zerari, Samir Abdelhamid, Hassen Bouzgou, Christian Raymond:
Bi-directional recurrent end-to-end neural network classifier for spoken Arab digit recognition. ICNLSP 2018: 1-6 - [c36]Frédéric Béchet, Christian Raymond:
Is ATIS Too Shallow to Go Deeper for Benchmarking Spoken Language Understanding Models? INTERSPEECH 2018: 3449-3453 - [c35]Anne-Lyse Minard, Christian Raymond, Vincent Claveau:
IRISA at SMM4H 2018: Neural Network and Bagging for Tweet Classification. SMM4H@EMNLP 2018: 50-51 - [c34]Anne-Lyse Minard, Christian Raymond, Vincent Claveau:
Participation de l'IRISA à DeFT 2018 : classification et annotation d'opinion dans des tweets (IRISA at DeFT 2018: classifying and tagging opinion in tweets ). CORIA-TALN-RJC (DeFT) 2018: 265-278 - 2017
- [c33]Vedran Vukotic, Silvia-Laura Pintea, Christian Raymond, Guillaume Gravier, Jan C. van Gemert:
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. ICIAP (1) 2017: 140-151 - [c32]Marco Dinarelli, Vedran Vukotic, Christian Raymond:
Label-Dependency Coding in Simple Recurrent Networks for Spoken Language Understanding. INTERSPEECH 2017: 2491-2495 - [c31]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking. ICMR 2017: 416-419 - [c30]Rémi Bois, Vedran Vukotic, Anca-Roxana Simon, Ronan Sicre, Christian Raymond, Pascale Sébillot, Guillaume Gravier:
Exploiting Multimodality in Video Hyperlinking to Improve Target Diversity. MMM (2) 2017: 185-197 - [i2]Vedran Vukotic, Silvia-Laura Pintea, Christian Raymond, Guillaume Gravier, Jan C. van Gemert:
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network. CoRR abs/1702.04125 (2017) - [i1]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking. CoRR abs/1705.05103 (2017) - 2016
- [c29]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
A Step Beyond Local Observations with a Dialog Aware Bidirectional GRU Network for Spoken Language Understanding. INTERSPEECH 2016: 3241-3244 - [c28]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Bidirectional Joint Representation Learning with Symmetrical Deep Neural Networks for Multimodal and Crossmodal Applications. ICMR 2016: 343-346 - [c27]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Multimodal and Crossmodal Representation Learning from Textual and Visual Features with Bidirectional Deep Neural Networks for Video Hyperlinking. iV&L-MM@MM 2016: 37-44 - [c26]Rémi Bois, Vedran Vukotic, Ronan Sicre, Christian Raymond, Pascale Sébillot, Guillaume Gravier:
IRISA at TrecVid2016: Crossmodality, Multimodality and Monomodality for Video Hyperlinking. TRECVID 2016 - 2015
- [c25]Vedran Vukotic, Christian Raymond, Guillaume Gravier:
Is it time to Switch to word embedding and recurrent neural networks for spoken language understanding? INTERSPEECH 2015: 130-134 - [c24]Davy Weissenbacher, Christian Raymond:
Tree-Structured Named Entities Extraction from Competing Speech Transcriptions. NLDB 2015: 249-260 - 2014
- [c23]Yann Ricquebourg, Christian Raymond, Baptiste Poirriez, Aurélie Lemaitre, Bertrand Coüasnon:
Boosting bonsai trees for handwritten/printed text discrimination. DRR 2014: 902105-902105-12 - [c22]Antoine Laurent, Nathalie Camelin, Christian Raymond:
Boosting bonsai trees for efficient features combination: application to speaker role identification. INTERSPEECH 2014: 76-80 - 2013
- [c21]Christian Raymond:
Robust tree-structured Named Entities Recognition from speech. ICASSP 2013: 8475-8479 - 2012
- [c20]Julien Fayolle, Murat Saraclar, Fabienne Moreau, Christian Raymond, Guillaume Gravier:
Lexical-phonetic automata for spoken utterance indexing and retrieval. INTERSPEECH 2012: 2470-2473 - [c19]Vincent Claveau, Christian Raymond:
Participation de l'IRISA à DeFT2012 : recherche d'information et apprentissage pour la génération de mots-clés (IRISA participation to DeFT2012: information retrieval and machine-learning for keyword generation) [in French]. DEFT@TALN 2012: 49-60 - [c18]Julien Fayolle, Fabienne Moreau, Christian Raymond, Guillaume Gravier:
Automates lexico-phonétiques pour l'indexation et la recherche de segments de parole (Lexical-phonetic automata for spoken utterance indexing and retrieval) [in French]. JEP-TALN-RECITAL 2012 2012: 49-56 - 2011
- [j4]Stefan Hahn, Marco Dinarelli, Christian Raymond, Fabrice Lefèvre, Patrick Lehnen, Renato de Mori, Alessandro Moschitti, Hermann Ney, Giuseppe Riccardi:
Comparing Stochastic Approaches to Spoken Language Understanding in Multiple Languages. IEEE Trans. Speech Audio Process. 19(6): 1569-1583 (2011) - 2010
- [c17]Julien Fayolle, Fabienne Moreau, Christian Raymond, Guillaume Gravier:
Reshaping automatic speech transcripts for robust high-level spoken document analysis. AND 2010: 51-58 - [c16]Christophe Servan, Nathalie Camelin, Christian Raymond, Frédéric Béchet, Renato de Mori:
On the use of machine translation for spoken language understanding portability. ICASSP 2010: 5330-5333 - [c15]Julien Fayolle, Fabienne Moreau, Christian Raymond, Guillaume Gravier, Patrick Gros:
CRF-based combination of contextual features to improve a posteriori word-level confidence measures. INTERSPEECH 2010: 1942-1945 - [c14]Frédéric Béchet, Christian Raymond, Frédéric Duvert, Renato de Mori:
Frame based interpretation of conversational speech. SLT 2010: 401-406 - [c13]Christian Raymond, Julien Fayolle:
Reconnaissance robuste d'entités nommées sur de la parole transcrite automatiquement. TALN (Articles longs) 2010: 191-200
2000 – 2009
- 2008
- [c12]Christian Raymond, G. Riccardfi:
Learning with noisy supervision for Spoken Language Understanding. ICASSP 2008: 4989-4992 - [c11]Stefan Hahn, Patrick Lehnen, Christian Raymond, Hermann Ney:
A Comparison of Various Methods for Concept Tagging for Spoken Language Understanding. LREC 2008 - [c10]Christian Raymond, Kepa Joseba Rodríguez, Giuseppe Riccardi:
Active Annotation in the LUNA Italian Corpus of Spontaneous Dialogues. LREC 2008 - 2007
- [j3]Christian Raymond, Frédéric Béchet, Nathalie Camelin, Renato de Mori, Géraldine Damnati:
Sequential Decision Strategies for Machine Interpretation of Speech. IEEE Trans. Speech Audio Process. 15(1): 162-171 (2007) - [c9]Kepa Joseba Rodríguez, Stefanie Dipper, Michael Götze, Massimo Poesio, Giuseppe Riccardi, Christian Raymond, Joanna Rabiega-Wisniewska:
Standoff Coordination for Multi-Tool Annotation in a Dialogue Corpus. LAW@ACL 2007: 148-155 - [c8]Alessandro Moschitti, Giuseppe Riccardi, Christian Raymond:
Spoken language understanding with kernels for syntactic/semantic structures. ASRU 2007: 183-188 - [c7]Christian Raymond, Giuseppe Riccardi:
Generative and discriminative algorithms for spoken language understanding. INTERSPEECH 2007: 1605-1608 - 2006
- [j2]Christian Raymond, Frédéric Béchet, Renato de Mori, Géraldine Damnati:
On the use of finite state transducers for semantic interpretation. Speech Commun. 48(3-4): 288-304 (2006) - [c6]Christophe Servan, Christian Raymond, Frédéric Béchet, Pascal Nocera:
Conceptual decoding from word lattices: application to the spoken dialogue corpus MEDIA. INTERSPEECH 2006 - 2005
- [c5]Christian Raymond, Frédéric Béchet, Nathalie Camelin, Renato De Mori, Géraldine Damnati:
Semantic Interpretation With Error Correction. ICASSP (1) 2005: 29-32 - 2004
- [c4]Christian Raymond, Frédéric Béchet, Renato De Mori, Géraldine Damnati, Yannick Estève:
Automatic learning of interpretation strategies for spoken dialogue systems. ICASSP (1) 2004: 425-428 - [c3]Christian Raymond, Frédéric Béchet, Renato De Mori, Géraldine Damnati:
On the Use of Confidence for Statistical Decision in Dialogue Strategies. SIGDIAL Workshop 2004: 102-107 - 2003
- [j1]Yannick Estève, Christian Raymond, Renato de Mori, David Janiszek:
On the use of linguistic consistency in systems for human-computer dialogues. IEEE Trans. Speech Audio Process. 11(6): 746-756 (2003) - [c2]Yannick Estève, Christian Raymond, Frédéric Béchet, Renato de Mori:
Conceptual decoding for spoken dialog systems. INTERSPEECH 2003: 617-620 - 2002
- [c1]Renato de Mori, Yannick Estève, Christian Raymond:
On the use of structures in language models for dialogue. INTERSPEECH 2002: 929-932
Coauthor Index
aka: Renato de Mori
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last updated on 2024-07-11 19:25 CEST by the dblp team
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