A. Cristiano I. Malossi

Orcid: 0000-0002-8201-1533

According to our database1, A. Cristiano I. Malossi authored at least 28 papers between 2011 and 2023.

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Bibliography

2023
Counterfactual Image Generation for adversarially robust and interpretable Classifiers.
CoRR, 2023

2022
Improving Low-Resource Question Answering using Active Learning in Multiple Stages.
CoRR, 2022

Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE).
CoRR, 2022

2021
Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy.
Vis. Comput., 2021

AutoText: An End-to-End AutoAI Framework for Text.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
torcpy: Supporting task parallelism in Python.
SoftwareX, 2020

Generating Efficient DNN-Ensembles with Evolutionary Computation.
CoRR, 2020

Reducing Data Motion to Accelerate the Training of Deep Neural Networks.
CoRR, 2020

XwattPilot: A Full-stack Cloud System Enabling Agile Development of Transprecision Software for Low-power SoCs.
Proceedings of the 2020 IEEE Symposium in Low-Power and High-Speed Chips, 2020

2019
FloatX: A C++ Library for Customized Floating-Point Arithmetic.
ACM Trans. Math. Softw., 2019

NeuNetS: An Automated Synthesis Engine for Neural Network Design.
CoRR, 2019

Constrained deep neural network architecture search for IoT devices accounting for hardware calibration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

TAPAS: Train-Less Accuracy Predictor for Architecture Search.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A scalable iterative dense linear system solver for multiple right-hand sides in data analytics.
Parallel Comput., 2018

BAGAN: Data Augmentation with Balancing GAN.
CoRR, 2018

The transprecision computing paradigm: Concept, design, and applications.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
Incremental Training of Deep Convolutional Neural Networks.
Proceedings of the International Workshop on Automatic Selection, 2017

Impact of temporal subsampling on accuracy and performance in practical video classification.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD.
Proceedings of the High Performance Computing, 2016

Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

The Impact of Voltage-Frequency Scaling for the Matrix-Vector Product on the IBM POWER8.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016

2015
Systematic derivation of time and power models for linear algebra kernels on multicore architectures.
Sustain. Comput. Informatics Syst., 2015

An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle.
Proceedings of the International Conference for High Performance Computing, 2015

2014
Changing Computing Paradigms Towards Power Efficiency.
CoRR, 2014

Performance and Energy-Aware Characterization of the Sparse Matrix-Vector Multiplication on Multithreaded Architectures.
Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

2013
Implicit Coupling of One-Dimensional and Three-Dimensional Blood Flow Models with Compliant Vessels.
Multiscale Model. Simul., 2013

On the continuity of mean total normal stress in geometrical multiscale cardiovascular problems.
J. Comput. Phys., 2013

2011
An ALE-based numerical technique for modeling sedimentary basin evolution featuring layer deformations and faults.
J. Comput. Phys., 2011


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