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Mattia Rigotti

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge


Dec 21, 2020
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
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Alleviating Noisy Data in Image Captioning with Cooperative Distillation


Dec 21, 2020
Pierre Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff

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* CVPR 2020 VizWiz Challenge 
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Self-correcting Q-Learning


Dec 02, 2020
Rong Zhu, Mattia Rigotti

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* Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 
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Tabular Transformers for Modeling Multivariate Time Series


Nov 03, 2020
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre Dognin, Jerret Ross, Ravi Nair, Erik Altman

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* Submitted to ICASSP, 2021; https://github.com/IBM/TabFormer 
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Unbalanced Sobolev Descent


Sep 29, 2020
Youssef Mroueh, Mattia Rigotti

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* NeurIPS 2020 
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Sobolev Independence Criterion


Oct 31, 2019
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cicero Dos Santos

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* NeurIPS 2019 
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Beyond Backprop: Online Alternating Minimization with Auxiliary Variables


Oct 24, 2018
Anna Choromanska, Sadhana Kumaravel, Ronny Luss, Irina Rish, Brian Kingsbury, Mattia Rigotti, Paolo DiAchille, Viatcheslav Gurev, Ravi Tejwani, Djallel Bouneffouf

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* First four authors contributed equally to this work: A.C. - theory, manuscript, S.K. - code, experiments, R.L. - algorithm, experiments, I.R. - algorithm, manuscript 
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Efficient ConvNets for Analog Arrays


Jul 03, 2018
Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch

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Energy-efficient neuromorphic classifiers


Jul 01, 2015
Daniel Martí, Mattia Rigotti, Mingoo Seok, Stefano Fusi

* 11 pages, 7 figures 
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