Postdoctoral Fellow
Mila - Quebec AI Institute
goncalomordido [at] gmail [dot] com
Lookbehind-SAM: k steps back, 1 step forward.
G. Mordido, P. Malviya, A. Baratin, S. Chandar.
ICML 2024
Fast and accurate output error estimation for memristor-based deep neural networks.
J. Kern, S. Henwood, G. Mordido, E. Dupraz, A. Bey, Y. Savaria, F. Leduc-Primeau.
IEEE Transactions on Signal Processing
Fairness-aware structured pruning in Transformers.
A. Zayed, G. Mordido, S. Shabanian, I. Baldini, S. Chandar.
AAAI 2024
Training DNNs resilient to adversarial and random bit-flips by learning quantization ranges.
K. Chitsaz, G. Mordido, J. David, F. Leduc-Primeau.
TMLR
Deep learning on a healthy data diet: Finding important examples for fairness and performance.
A. Zayed, P. Parthasarathi, G. Mordido, H. Palangi, S. Shabanian, S. Chandar.
AAAI 2023
Sharpness-aware training for accurate inference on noisy DNN accelerators.
G. Mordido, S. Chandar, F. Leduc-Primeau.
CoLLAs 2022 workshop & Edge Intelligence workshop 2022
Improving meta-learning generalization with activation-based early-stopping.
S. Guiroy, C. Pal, G. Mordido, S. Chandar.
CoLLAs 2022
MemSE: Fast MSE prediction for noisy memristor-based DNN accelerators.
J. Kern, S. Henwood, G. Mordido, E. Dupraz, A. Aissa-El-Bye, Y. Savaria, F. Leduc-Primeau.
AICAS 2022
Tiny CNN for seizure prediction in wearable biomedical devices.
Y. Zhang, Y. Savaria, S. Zhao, G. Mordido, M. Sawan, F. Leduc-Primeau.
EMBC 2022
Compressing 1D time-channel separable convolutions using sparse random ternary matrices.
G. Mordido, M. Keirsbilck, A. Keller.
INTERSPEECH 2021
Assessing image and text generation with topological analysis and fuzzy logic.
G. Mordido*, J. Niedermeier*, C. Meinel.
WACV 2021
Mark-Evaluate: Assessing language generation using population estimation methods.
G. Mordido, C. Meinel.
COLING 2020
Best student forcing: A simple training mechanism in adversarial language generation.
J. Sauder*, T. Hu*, X. Che, G. Mordido, H. Yang and C. Meinel.
LREC 2020
Monte Carlo gradient quantization.
G. Mordido, M. Keirsbilck, A. Keller.
CVPR 2020 EDLCV workshop
Improving the evaluation of generative models with fuzzy logic.
J. Niedermeier*, G. Mordido* and C. Meinel.
AAAI 2020 Meta-Eval workshop
microbatchGAN: Stimulating diversity with multi-adversarial discrimination.
G. Mordido, H. Yang, and C. Meinel.
WACV 2020
Instant quantization of neural networks using Monte Carlo methods.
G. Mordido*, M. Keirsbilck*, A. Keller.
NeurIPS 2019 EMC2 workshop
Pseudo-ground-truth for adversarial text generation using reinforcement learning.
J. Sauder, X. Che, G. Mordido, H. Yang and C. Meinel.
NeurIPS 2018 Deep RL workshop
Dropout-GAN: Learning from a dynamic ensemble of discriminators.
G. Mordido, H. Yang, and C. Meinel.
KDD 2018 Deep Learning Day
Automatic organisation, segmentation, and filtering of user-generated audio content.
G. Mordido, J. Magalhaes, and S. Cavaco.
MMSP 2017
Automatic organisation and quality analysis of user-generated content with audio fingerprinting.
G. Mordido, J. Magalhaes, and S. Cavaco.
EUSIPCO 2017