Multilevel discriminative training for spelled word recognition. - Luca Rigazio; Jean-Claude Junqua; Michael Galler (ICASSP, 1998)

An optimal Bhattacharyya centroid algorithm for Gaussian clustering with applications in automatic speech recognition. - Luca Rigazio; Brice Tsakam; Jean-Claude Junqua (ICASSP, 2000)

EWAVES: an efficient decoding algorithm for lexical tree based speech recognition. - Patrick Nguyen; Luca Rigazio; Jean-Claude Junqua (INTERSPEECH, 2000)

Environmental adaptation based on first order approximation. - Christophe Cerisara; Luca Rigazio; Robert Boman; Jean-Claude Junqua (ICASSP, 2001)

Very fast adaptation with a compact context-dependent eigenvoice model. - Roland Kuhn 001; Florent Perronnin; Patrick Nguyen; Jean-Claude Junqua; Luca Rigazio (ICASSP, 2001)

Separating speaker and environment variabilities for improved recognition in non-stationary conditions. - Luca Rigazio; Patrick Nguyen; David Kryze; Jean-Claude Junqua (INTERSPEECH, 2001)

Dynamic estimation of a noise over estimation factor for Jacobian-based adaptation. - Christophe Cerisara; Jean-Claude Junqua; Luca Rigazio (ICASSP, 2002)

Piecewise linear constraints for model space adaptation. - Patrick Nguyen; Luca Rigazio; Jean-Claude Junqua; Christian Wellekens (ICASSP, 2002)

Blind channel estimation based on speech correlation structure. - Younes Souilmi; Luca Rigazio; Patrick Nguyen; David Kryze; Jean-Claude Junqua (ICASSP, 2002)

LU factorization for feature transformation. - Patrick Nguyen; Luca Rigazio; Christian Wellekens; Jean-Claude Junqua (INTERSPEECH, 2002)

Large corpus experiments for broadcast news recognition. - Patrick Nguyen; Luca Rigazio; Jean-Claude Junqua (INTERSPEECH, 2003)

Large vocabulary noise robustness on Aurora4. - Luca Rigazio; Patrick Nguyen; David Kryze; Jean-Claude Junqua (INTERSPEECH, 2003)

Sensitivity analysis of noise robustness methods. - Luca Giulio Brayda; Luca Rigazio; Robert Boman; Jean-Claude Junqua (ICASSP (1), 2004)

alpha-Jacobian environmental adaptation. - Christophe Cerisara; Luca Rigazio; Jean-Claude Junqua (Speech Commun., 2004)

Flexible Feature Spaces Based on Generalized Heteroscedastic Linear Discriminant Analysis. - Alessandro Duminuco; Chaojun Li; David Kryze; Luca Rigazio (ICASSP (1), 2006)

Recent Improvement on Maximum Relative Margin Estimation of HMMS for Speech Recognition. - Chaojun Liu; Hui Jiang 001; Luca Rigazio (ICASSP (1), 2006)

Vector taylor series based joint uncertainty decoding. - Haitian Xu; Luca Rigazio; David Kryze (INTERSPEECH, 2006)

Behavioral Modeling of IC Memories From Measured Data. - Igor S. Stievano; Luca Rigazio; Flavio G. Canavero; Telmo Reis Cunha; José Carlos Pedro; Hugo M. Teixeira; Antonio Girardi; Roberto Izzi; Filippo Vitale (IEEE Trans. Instrum. Meas., 2011)

Deep Clustered Convolutional Kernels. - Minyoung Kim; Luca Rigazio (FE@NIPS, 2015)

Predicting Embedded Syntactic Structures from Natural Language Sentences with Neural Network Approaches. - Grégory Senay; Fabio Massimo Zanzotto; Lorenzo Ferrone; Luca Rigazio (CoCo@NIPS, 2015)

Towards Deep Neural Network Architectures Robust to Adversarial Examples. - Shixiang Gu; Luca Rigazio (ICLR (Workshop), 2015)

Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking. - Minyoung Kim; Stefano Alletto; Luca Rigazio (CoRR, 2016)

ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks. - Denis A. Gudovskiy; Luca Rigazio (CoRR, 2017)

Path Integral Networks: End-to-End Differentiable Optimal Control. - Masashi Okada; Luca Rigazio; Takenobu Aoshima (CoRR, 2017)

DNN Feature Map Compression Using Learned Representation over GF(2). - Denis A. Gudovskiy; Alec Hodgkinson; Luca Rigazio (ECCV Workshops (4), 2018)

Adherent Raindrop Removal with Self-Supervised Attention Maps and Spatio-Temporal Generative Adversarial Networks. - Stefano Alletto; Casey Carlin; Luca Rigazio; Yasunori Ishii; Sotaro Tsukizawa (ICCV Workshops, 2019)

DoorGym: A Scalable Door Opening Environment And Baseline Agent. - Yusuke Urakami; Alec Hodgkinson; Casey Carlin; Randall Leu; Luca Rigazio; Pieter Abbeel (CoRR, 2019)

Self-Supervised Optical Flow Estimation by Projective Bootstrap. - Stefano Alletto; Davide Abati; Simone Calderara; Rita Cucchiara; Luca Rigazio (IEEE Trans. Intell. Transp. Syst., 2019)

Contrastive Neural Processes for Self-Supervised Learning. - Konstantinos Kallidromitis; Denis A. Gudovskiy; Kazuki Kozuka; Ohama Iku; Luca Rigazio (ACML, 2021)

AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation. - Denis A. Gudovskiy; Luca Rigazio; Shun Ishizaka; Kazuki Kozuka; Sotaro Tsukizawa (CVPR, 2021)

Contactless Monitoring of PPG Using Radar. - Usman Mahmood Khan; Luca Rigazio; Muhammad Shahzad 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)