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<img src="me.jpg" width="150">
<a href="index.html"><h1>Gonçalo Mordido</h1></a>
<p> Postdoctoral Fellow </p>
<p> Mila - Quebec AI Institute</a> </p>
<p> goncalomordido [at] gmail [dot] com</p>

<a href="data/Mordido_CV.pdf" target="_blank"><h2>CV</h2></a>

<a href="publications.html"><h2>Publications</h2></a>

<a href="patents.html"><h2> Patents </h2></a>
</div>

<div class="section-2">
<img src="me.jpg" width="250">
<h2>About</h2>
<h1>About</h1>
<p>
I am a postdoctoral fellow at <a href="https://mila.quebec/en/">Mila - Quebec AI Institute</a> working with <a href="https://chandar-lab.github.io/">Prof. Sarath Chandar</a>. I am interested in improving the fairness and robustness of artificial intelligence systems.

<!--<h2>News</h2>
<p> 04/2023: Selected for the FRQ's <a href="https://frq.gouv.qc.ca/en/program/merit-scholarship-program-for-foreign-students-pbeee/">postdoctoral merit scholarship!</a></p>
<p> 08/2022: Co-organized the <a href="https://lifelong-ml.cc/">Conference on Lifelong Learning Agents</a> (CoLLAs 2022).</p>
<p> 07/2022: Co-organized the <a href="https://haet2022.github.io/">Hardware Aware Efficient Training</a> workshop (ICML 2022).</p>
-->
I am a postdoctoral fellow at <a href="https://mila.quebec/en/" target="_blank">Mila - Quebec AI Institute</a> working with <a href="https://chandar-lab.github.io/" target="_blank">Prof. Sarath Chandar</a>. I am interested in improving the fairness and robustness of AI systems. Here is my <a href="data/Mordido_CV.pdf" target="_blank">CV</a>.
</p>
<h1>Publications</h1>
<h2>2024</h2>
<p> <a href="https://openreview.net/forum?id=sHSkJqyQgW" target="_blank">Promoting exploration in memory-augmented Adam using critical momenta.</a></p>
<p> P. Malviya, G. Mordido, A. Baratin, R. Harikandeh, J. Huang, S. Lacoste-Julien, R. Pascanu, S. Chandar.</p>
<p> Transactions on Machine Learning Research</p>
<p> <a href="">Why don’t prompt-based fairness metrics correlate?</a></p>
<p> A. Zayed, G. Mordido, I. Baldini, S. Chandar.</p>
<p> ACL 2024</p>
<p> <a href="https://arxiv.org/abs/2307.16704" target="_blank">Lookbehind-SAM: k steps back, 1 step forward.</a></p>
<p> G. Mordido, P. Malviya, A. Baratin, S. Chandar.</p>
<p> ICML 2024</p>
<p> <a href="https://ieeexplore.ieee.org/document/10444613" target="_blank">Fast and accurate output error estimation for memristor-based deep neural networks.</a></p>
<p> J. Kern, S. Henwood, G. Mordido, E. Dupraz, A. Bey, Y. Savaria, F. Leduc-Primeau.</p>
<p> IEEE Transactions on Signal Processing</p>
<p> <a href="https://arxiv.org/pdf/2312.15398.pdf" target="_blank">Fairness-aware structured pruning in Transformers.</a></p>
<p> A. Zayed, G. Mordido, S. Shabanian, I. Baldini, S. Chandar.</p>
<p> AAAI 2024</p>
<h2>2023</h2>
<p> <a href="https://openreview.net/pdf?id=BxjHMPwZIH" target="_blank">Training DNNs resilient to adversarial and random bit-flips by learning quantization ranges.</a></p>
<p> K. Chitsaz, G. Mordido, J. David, F. Leduc-Primeau.</p>
<p> Transactions on Machine Learning Research</p>
<p> <a href="https://arxiv.org/pdf/2211.11109.pdf" target="_blank">Deep learning on a healthy data diet: Finding important examples for fairness and performance.</a></p>
<p> A. Zayed, P. Parthasarathi, G. Mordido, H. Palangi, S. Shabanian, S. Chandar.</p>
<p> AAAI 2023</p>

<h2>2022</h2>
<p> <a href="https://arxiv.org/pdf/2211.11561v1.pdf" target="_blank">Sharpness-aware training for accurate inference on noisy DNN accelerators.</a></p>
<p> G. Mordido, S. Chandar, F. Leduc-Primeau.</p>
<p> CoLLAs 2022 workshop & Edge Intelligence workshop 2022</p>
<p> <a href="https://proceedings.mlr.press/v199/guiroy22a/guiroy22a.pdf" target="_blank">Improving meta-learning generalization with activation-based early-stopping.</a></p>
<p> S. Guiroy, C. Pal, G. Mordido, S. Chandar.</p>
<p> CoLLAs 2022</p>
<p> <a href="https://arxiv.org/pdf/2205.01707.pdf" target="_blank">MemSE: Fast MSE prediction for noisy memristor-based DNN accelerators.</a></p>
<p> J. Kern, S. Henwood, G. Mordido, E. Dupraz, A. Aissa-El-Bye, Y. Savaria, F. Leduc-Primeau.</p>
<p> AICAS 2022</p>
<p> <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9872006" target="_blank">Tiny CNN for seizure prediction in wearable biomedical devices.</a></p>
<p> Y. Zhang, Y. Savaria, S. Zhao, G. Mordido, M. Sawan, F. Leduc-Primeau.</p>
<p> EMBC 2022</p>

<h2>2021</h2>
<p> <a href="https://www.isca-speech.org/archive/pdfs/interspeech_2021/mordido21_interspeech.pdf" target="_blank">Compressing 1D time-channel separable convolutions using sparse random ternary matrices.</a></p>
<p> G. Mordido, M. Keirsbilck, A. Keller.</p>
<p> INTERSPEECH 2021</p>
<p> <a href="https://openaccess.thecvf.com/content/WACV2021/papers/Mordido_Assessing_Image_and_Text_Generation_With_Topological_Analysis_and_Fuzzy_WACV_2021_paper.pdf" target="_blank">Assessing image and text generation with topological analysis and fuzzy logic.</a></p>
<p> G. Mordido*, J. Niedermeier*, C. Meinel.</p>
<p> WACV 2021</p>

<h2>2020</h2>
<p> <a href="https://aclanthology.org/2020.coling-main.178.pdf" target="_blank">Mark-Evaluate: Assessing language generation using population estimation methods.</a></p>
<p> G. Mordido, C. Meinel.</p>
<p> COLING 2020</p>
<p> <a href="https://aclanthology.org/2020.lrec-1.576.pdf" target="_blank">Best student forcing: A simple training mechanism in adversarial language generation.</a></p>
<p> J. Sauder*, T. Hu*, X. Che, G. Mordido, H. Yang and C. Meinel.</p>
<p> LREC 2020</p>
<p> <a href="https://openaccess.thecvf.com/content_CVPRW_2020/papers/w40/Mordido_Monte_Carlo_Gradient_Quantization_CVPRW_2020_paper.pdf" target="_blank">Monte Carlo gradient quantization.</a></p>
<p> G. Mordido, M. Keirsbilck, A. Keller.</p>
<p> CVPR 2020 EDLCV workshop</p>
<p> <a href="https://arxiv.org/pdf/2002.03772.pdf" target="_blank">Improving the evaluation of generative models with fuzzy logic.</a></p>
<p> J. Niedermeier*, G. Mordido* and C. Meinel.</p>
<p> AAAI 2020 Meta-Eval workshop</p>
<p> <a href="https://openaccess.thecvf.com/content_WACV_2020/papers/Mordido_microbatchGAN_Stimulating_Diversity_with_Multi-Adversarial_Discrimination_WACV_2020_paper.pdf" target="_blank">microbatchGAN: Stimulating diversity with multi-adversarial discrimination.</a></p>
<p> G. Mordido, H. Yang, and C. Meinel.</p>
<p> WACV 2020</p>

<h2>2019</h2>
<p> <a href="https://arxiv.org/pdf/1905.12253.pdf" target="_blank">Instant quantization of neural networks using Monte Carlo methods.</a></p>
<p> G. Mordido*, M. Keirsbilck*, A. Keller.</p>
<p> NeurIPS 2019 EMC2 workshop</p>

<h2>2018</h2>
<p> <a href="">Pseudo-ground-truth for adversarial text generation using reinforcement learning.</a></p>
<p> J. Sauder, X. Che, G. Mordido, H. Yang and C. Meinel.</p>
<p> NeurIPS 2018 Deep RL workshop</p>
<p> <a href="https://arxiv.org/pdf/1807.11346.pdf" target="_blank">Dropout-GAN: Learning from a dynamic ensemble of discriminators.</a></p>
<p> G. Mordido, H. Yang, and C. Meinel.</p>
<p> KDD 2018 Deep Learning Day</p>

<h2>2017</h2>
<p> <a href="https://arxiv.org/pdf/1708.05302.pdf" target="_blank">Automatic organisation, segmentation, and filtering of user-generated audio content.</a></p>
<p> G. Mordido, J. Magalhaes, and S. Cavaco.</p>
<p> MMSP 2017</p>
<p> <a href="https://arxiv.org/pdf/1708.05291.pdf" target="_blank">Automatic organisation and quality analysis of user-generated content with audio fingerprinting.</a></p>
<p> G. Mordido, J. Magalhaes, and S. Cavaco.</p>
<p> EUSIPCO 2017</p>

<h1>Patents</h1>
<h2>2022</h2>
<p> <a href="">Incorporating a ternary matrix into a neural network.</a></p>
<p> A. Keller, G. Mordido, M. Van keirsbilck.</p>
<p> US Patent</p>
<h2>2019</h2>
<p> <a href="">Representing a neural net utilizing paths within the network to improve a performance of the neural net.</a></p>
<p> A. Keller, G. Mordido, N. Gamboa, M. Van keirsbilck.</p>
<p> US Patent</p>
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