Vincent Renkens

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 15

Top Topics

Dialogue System

Hidden Markov Models

Weakly Supervised

Spoken Language

Top Venues

Publications

Shruti Bhargava, Anand Dhoot, Ing-Marie Jonsson, Hoang Long Nguyen, Alkesh Patel, Hong Yu, Vincent Renkens
Referring to Screen Texts with Voice Assistants. CoRR (2023)
Shruti Bhargava, Anand Dhoot, Ing-Marie Jonsson, Hoang Long Nguyen, Alkesh Patel, Hong Yu, Vincent Renkens
Referring to Screen Texts with Voice Assistants. ACL (industry) (2023)
Halim Cagri Ates, Shruti Bhargava, Site Li, Jiarui Lu, Siddhardha Maddula, Joel Ruben Antony Moniz, Anil Kumar Nalamalapu, Roman Hoang Nguyen, Melis Özyildirim, Alkesh Patel, Dhivya Piraviperumal, Vincent Renkens, Ankit Samal, Thy Tran, Bo-Hsiang Tseng, Hong Yu, Yuan Zhang, Rong Zou
MARRS: Multimodal Reference Resolution System. CoRR (2023)
Alkesh Patel, Joel Ruben Antony Moniz, Roman Nguyen, Nick Tzou, Hadas Kotek, Vincent Renkens
MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants. CoRR (2021)
Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems. Interspeech (2021)
Hoang Long Nguyen, Vincent Renkens, Joris Pelemans, Srividya Pranavi Potharaju, Anil Kumar Nalamalapu, Murat Akbacak
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems. CoRR (2021)
Jakob Poncelet, Vincent Renkens, Hugo Van hamme
Low resource end-to-end spoken language understanding with capsule networks. Comput. Speech Lang. 66 (2021)
Vincent Renkens, Hugo Van hamme
Capsule Networks for Low Resource Spoken Language Understanding. CoRR (2018)
Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
State Gradients for RNN Memory Analysis. BlackboxNLP@EMNLP (2018)
Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
State Gradients for RNN Memory Analysis. CoRR (2018)
Vincent Renkens, Hugo Van hamme
Capsule Networks for Low Resource Spoken Language Understanding. INTERSPEECH (2018)
Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
State Gradients for RNN Memory Analysis. INTERSPEECH (2018)
Vincent Renkens, Hugo Van hamme
Weakly Supervised Learning of Hidden Markov Models for Spoken Language Acquisition. IEEE ACM Trans. Audio Speech Lang. Process. 25 (2) (2017)
Vincent Renkens, Hugo Van hamme
Automatic relevance determination for nonnegative dictionary learning in the gamma-Poisson model. Signal Process. 132 (2017)
Vincent Renkens, Vikrant Tomar, Hugo Van hamme
Incrementally learn the relevance of words in a dictionary for spoken language acquisition. SLT (2016)
Vincent Renkens, Hugo Van hamme
Mutually exclusive grounding for weakly supervised non-negative matrix factorisation. INTERSPEECH (2015)
Vincent Renkens, Steven Janssens, Bart Ons, Jort F. Gemmeke, Hugo Van hamme
Acquisition of ordinal words using weakly supervised NMF. SLT (2014)