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ORCIDA. Cristiano I. Malossi
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2020 – today
- 2024
[c14]Piotr Kluska, Adrián Castelló, Florian Scheidegger, A. Cristiano I. Malossi, Enrique S. Quintana-Ortí:
QAttn: Efficient GPU Kernels for mixed-precision Vision Transformers. CVPR Workshops 2024: 3648-3657- 2023
- [i12]Rafael Bischof
, Florian Scheidegger, Michael A. Kraus, A. Cristiano I. Malossi:
Counterfactual Image Generation for adversarially robust and interpretable Classifiers. CoRR abs/2310.00761 (2023) - 2022
- [c13]Agustina La Greca Saint-Esteven, Chiara Marchiori, Marta Bogowicz, Javier Barranco Garcia, Zahra Khodabakhshi, Ender Konukoglu, Oliver Riesterer, Panagiotis Balermpas, Martin Hüllner, A. Cristiano I. Malossi, Matthias Guckenberger, Janita E. van Timmeren, Stephanie Tanadini-Lang:
Diagnostic Accuracy and Reliability of Deep Learning-Based Human Papillomavirus Status Prediction in Oropharyngeal Cancer. MICAD 2022: 281-291 - [i11]Jason Tsay, Andrea Bartezzaghi, Aleke Nolte, A. Cristiano I. Malossi:
Enabling Reproducibility and Meta-learning Through a Lifelong Database of Experiments (LDE). CoRR abs/2202.10979 (2022) - [i10]Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu:
Improving Low-Resource Question Answering using Active Learning in Multiple Stages. CoRR abs/2211.14880 (2022) - 2021
- [j8]Florian Scheidegger, Roxana Istrate, Giovanni Mariani, Luca Benini, Costas Bekas, A. Cristiano I. Malossi:
Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy. Vis. Comput. 37(6): 1593-1610 (2021) - [c12]Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li:
AutoText: An End-to-End AutoAI Framework for Text. AAAI 2021: 16001-16003 - 2020
- [j7]Panagiotis E. Hadjidoukas, Andrea Bartezzaghi, Florian Scheidegger, Roxana Istrate, Costas Bekas, A. Cristiano I. Malossi:
torcpy: Supporting task parallelism in Python. SoftwareX 12: 100517 (2020) - [c11]Dionysios Diamantopoulos, Florian Scheidegger, Stefan Mach, Fabian Schuiki, Germain Haugou, Michael Schaffner, Frank K. Gürkaynak, Christoph Hagleitner, A. Cristiano I. Malossi, Luca Benini:
XwattPilot: A Full-stack Cloud System Enabling Agile Development of Transprecision Software for Low-power SoCs. COOL CHIPS 2020: 1-3 - [i9]Sicong Zhuang, A. Cristiano I. Malossi, Marc Casas:
Reducing Data Motion to Accelerate the Training of Deep Neural Networks. CoRR abs/2004.02297 (2020) - [i8]Marc Ortiz, Florian Scheidegger, Marc Casas, A. Cristiano I. Malossi, Eduard Ayguadé:
Generating Efficient DNN-Ensembles with Evolutionary Computation. CoRR abs/2009.08698 (2020)
2010 – 2019
- 2019
- [j6]Goran Flegar, Florian Scheidegger, Vedran Novakovic, Giovanni Mariani, Andrés E. Tomás, A. Cristiano I. Malossi, Enrique S. Quintana-Ortí:
FloatX: A C++ Library for Customized Floating-Point Arithmetic. ACM Trans. Math. Softw. 45(4): 40:1-40:23 (2019) - [c10]Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios S. Nikolopoulos, Constantine Bekas, Adelmo Cristiano Innocenza Malossi:
TAPAS: Train-Less Accuracy Predictor for Architecture Search. AAAI 2019: 3927-3934 - [c9]Florian Scheidegger, Luca Benini, Costas Bekas, A. Cristiano I. Malossi:
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration. NeurIPS 2019: 6054-6064 - [i7]Atin Sood, Benjamin Elder, Benjamin Herta, Chao Xue, Costas Bekas, A. Cristiano I. Malossi, Debashish Saha, Florian Scheidegger, Ganesh Venkataraman, Gegi Thomas, Giovanni Mariani, Hendrik Strobelt, Horst Samulowitz, Martin Wistuba, Matteo Manica, Mihir R. Choudhury, Rong Yan, Roxana Istrate, Ruchir Puri, Tejaswini Pedapati:
NeuNetS: An Automated Synthesis Engine for Neural Network Design. CoRR abs/1901.06261 (2019) - [i6]Florian Scheidegger, Luca Benini, Costas Bekas, A. Cristiano I. Malossi:
Constrained deep neural network architecture search for IoT devices accounting hardware calibration. CoRR abs/1909.10818 (2019) - 2018
- [j5]Vassilis Kalantzis, A. Cristiano I. Malossi, Costas Bekas, Alessandro Curioni, Efstratios Gallopoulos, Yousef Saad:
A scalable iterative dense linear system solver for multiple right-hand sides in data analytics. Parallel Comput. 74: 136-153 (2018) - [c8]A. Cristiano I. Malossi, Michael Schaffner, Anca Molnos, Luca Gammaitoni, Giuseppe Tagliavini, Andrew P. J. Emerson, Andrés Tomás, Dimitrios S. Nikolopoulos, Eric Flamand, Norbert Wehn:
The transprecision computing paradigm: Concept, design, and applications. DATE 2018: 1105-1110 - [i5]Florian Scheidegger, Roxana Istrate, Giovanni Mariani, Luca Benini, Costas Bekas, A. Cristiano I. Malossi:
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy. CoRR abs/1803.09588 (2018) - [i4]Giovanni Mariani, Florian Scheidegger, Roxana Istrate, Costas Bekas, A. Cristiano I. Malossi:
BAGAN: Data Augmentation with Balancing GAN. CoRR abs/1803.09655 (2018) - [i3]Roxana Istrate, Adelmo Cristiano Innocenza Malossi, Costas Bekas, Dimitrios S. Nikolopoulos:
Incremental Training of Deep Convolutional Neural Networks. CoRR abs/1803.10232 (2018) - [i2]Roxana Istrate, Florian Scheidegger, Giovanni Mariani, Dimitrios S. Nikolopoulos, Costas Bekas, A. Cristiano I. Malossi:
TAPAS: Train-less Accuracy Predictor for Architecture Search. CoRR abs/1806.00250 (2018) - 2017
- [c7]Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, A. Cristiano I. Malossi, Constantine Bekas, Luca Benini:
Impact of temporal subsampling on accuracy and performance in practical video classification. EUSIPCO 2017: 996-1000 - [c6]Roxana Istrate, A. Cristiano I. Malossi, Costas Bekas, Dimitrios S. Nikolopoulos:
Incremental Training of Deep Convolutional Neural Networks. AutoML@PKDD/ECML 2017: 41-48 - 2016
- [c5]Sandra Catalán, A. Cristiano I. Malossi, Costas Bekas, Enrique S. Quintana-Ortí:
The Impact of Voltage-Frequency Scaling for the Matrix-Vector Product on the IBM POWER8. Euro-Par 2016: 103-116 - [c4]Peter W. J. Staar, Panagiotis Kl. Barkoutsos, Roxana Istrate, A. Cristiano I. Malossi, Ivano Tavernelli, Nikolaj Moll, Heiner Giefers, Christoph Hagleitner, Costas Bekas, Alessandro Curioni:
Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance. IPDPS 2016: 812-821 - [c3]Valéry Weber, A. Cristiano I. Malossi, Ivano Tavernelli, Teodoro Laino, Costas Bekas, Manish Modani, Nina Wilner, Tom Heller, Alessandro Curioni:
First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD. ISC Workshops 2016: 228-234 - 2015
- [j4]A. Cristiano I. Malossi, Yves Ineichen, Costas Bekas, Alessandro Curioni, Enrique S. Quintana-Ortí:
Systematic derivation of time and power models for linear algebra kernels on multicore architectures. Sustain. Comput. Informatics Syst. 7: 24-40 (2015) - [c2]Johann Rudi, A. Cristiano I. Malossi, Tobin Isaac, Georg Stadler, Michael Gurnis, Peter W. J. Staar, Yves Ineichen, Costas Bekas, Alessandro Curioni, Omar Ghattas:
An extreme-scale implicit solver for complex PDEs: highly heterogeneous flow in earth's mantle. SC 2015: 5:1-5:12 - 2014
- [c1]A. Cristiano I. Malossi, Yves Ineichen, Constantine Bekas, Alessandro Curioni, Enrique S. Quintana-Ortí:
Performance and Energy-Aware Characterization of the Sparse Matrix-Vector Multiplication on Multithreaded Architectures. ICPP Workshops 2014: 139-148 - [i1]Pavel Klavík, A. Cristiano I. Malossi, Constantine Bekas, Alessandro Curioni:
Changing Computing Paradigms Towards Power Efficiency. CoRR abs/1405.4644 (2014) - 2013
- [j3]Pablo J. Blanco, Simone Deparis, A. Cristiano I. Malossi:
On the continuity of mean total normal stress in geometrical multiscale cardiovascular problems. J. Comput. Phys. 251: 136-155 (2013) - [j2]A. Cristiano I. Malossi, Pablo J. Blanco, Paolo Crosetto, Simone Deparis, Alfio Quarteroni:
Implicit Coupling of One-Dimensional and Three-Dimensional Blood Flow Models with Compliant Vessels. Multiscale Model. Simul. 11(2): 474-506 (2013) - 2011
- [j1]Matteo Longoni, A. Cristiano I. Malossi, Alfio Quarteroni, Andrea Villa, Paolo Ruffo:
An ALE-based numerical technique for modeling sedimentary basin evolution featuring layer deformations and faults. J. Comput. Phys. 230(8): 3230-3248 (2011)
Coauthor Index
aka: Constantine Bekas
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