Search Results for author: Christian S. Perone

Found 13 papers, 6 papers with code

Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts

no code implementations3 Nov 2022 Stefano Pini, Christian S. Perone, Aayush Ahuja, Ana Sofia Rufino Ferreira, Moritz Niendorf, Sergey Zagoruyko

The code for training and testing our model on a public prediction dataset and the video of the road test are available at https://woven. mobi/safepathnet

Autonomous Driving Navigate

CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization

1 code implementation5 Oct 2022 Eesha Kumar, Yiming Zhang, Stefano Pini, Simon Stent, Ana Ferreira, Sergey Zagoruyko, Christian S. Perone

The imitation learning of self-driving vehicle policies through behavioral cloning is often carried out in an open-loop fashion, ignoring the effect of actions to future states.

Autonomous Driving Imitation Learning

L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation

no code implementations9 Jul 2021 Christian S. Perone, Roberto Pereira Silveira, Thomas Paula

We hope our method can open new research directions on using quantities already computed by optimizers for uncertainty estimation in deep neural networks.

Uncertainty Quantification

Analysis of the SARS-CoV-2 outbreak in Rio Grande do Sul / Brazil

no code implementations20 Jul 2020 Christian S. Perone

This article contains a series of analyses done for the SARS-CoV-2 outbreak in Rio Grande do Sul (RS) in the south of Brazil.

Populations and Evolution Physics and Society

U-Net Fixed-Point Quantization for Medical Image Segmentation

2 code implementations2 Aug 2019 MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David

We then apply our quantization algorithm to three datasets: (1) the Spinal Cord Gray Matter Segmentation (GM), (2) the ISBI challenge for segmentation of neuronal structures in Electron Microscopic (EM), and (3) the public National Institute of Health (NIH) dataset for pancreas segmentation in abdominal CT scans.

Image Segmentation Pancreas Segmentation +3

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

1 code implementation14 Nov 2018 Christian S. Perone, Pedro Ballester, Rodrigo C. Barros, Julien Cohen-Adad

Recent advances in deep learning methods have come to define the state-of-the-art for many medical imaging applications, surpassing even human judgment in several tasks.

Medical Image Segmentation Semantic Segmentation +1

Deep semi-supervised segmentation with weight-averaged consistency targets

no code implementations12 Jul 2018 Christian S. Perone, Julien Cohen-Adad

Recently proposed techniques for semi-supervised learning such as Temporal Ensembling and Mean Teacher have achieved state-of-the-art results in many important classification benchmarks.

Data Augmentation General Classification +2

Evaluation of sentence embeddings in downstream and linguistic probing tasks

14 code implementations16 Jun 2018 Christian S. Perone, Roberto Silveira, Thomas S. Paula

Despite the fast developmental pace of new sentence embedding methods, it is still challenging to find comprehensive evaluations of these different techniques.

Language Modelling Sentence +3

Towards ECDSA key derivation from deep embeddings for novel Blockchain applications

no code implementations11 Nov 2017 Christian S. Perone

In this work, we propose a straightforward method to derive Elliptic Curve Digital Signature Algorithm (ECDSA) key pairs from embeddings created using Deep Learning and Metric Learning approaches.

Metric Learning

Spinal cord gray matter segmentation using deep dilated convolutions

1 code implementation2 Oct 2017 Christian S. Perone, Evan Calabrese, Julien Cohen-Adad

Gray matter (GM) tissue changes have been associated with a wide range of neurological disorders and was also recently found relevant as a biomarker for disability in amyotrophic lateral sclerosis.

Medical Image Segmentation Segmentation +1

Injury risk prediction for traffic accidents in Porto Alegre/RS, Brazil

no code implementations1 Feb 2015 Christian S. Perone

This study describes the experimental application of Machine Learning techniques to build prediction models that can assess the injury risk associated with traffic accidents.

BIG-bench Machine Learning

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