Enzo Tartaglione

, 2024

2023

Disentangling private classes through regularization.

[BibT_eX]

[DOI]

Neurocomputing, October, 2023

Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, March, 2023

SCoTTi: Save Computation at Training Time with an adaptive framework.

[BibT_eX]

[DOI]

Ziyu Lin

CoRR, 2023

Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Dodging the Sparse Double Descent.

[BibT_eX]

[DOI]

Victor Quétu

CoRR, 2023

Compressing Explicit Voxel Grid Representations: fast NeRFs become also small.

[BibT_eX]

[DOI]

Chenxi Lola Deng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unified Measures for the Rate-Distortion-Latency Trade-off.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Optimized preprocessing and Tiny ML for Attention State Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results.

[BibT_eX]

[DOI]

Tuan Dinh

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

A round-trip journey in pruned artificial neural networks.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Learn How to Prune Pixels for Multi-View Neural Image-Based Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Packed Ensembles for efficient uncertainty estimation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unbiased Supervised Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dodging the Double Descent in Deep Neural Networks.

[BibT_eX]

[DOI]

Victor Quétu

Proceedings of the IEEE International Conference on Image Processing, 2023

Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Sparse Double Descent in Vision Transformers: Real or Phantom Threat?

[BibT_eX]

[DOI]

Victor Quétu

Marta Milovanovic

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

A Differentiable Entropy Model for Learned Image Compression.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SCoTTi: Save Computation at Training Time with an adaptive framework.

[BibT_eX]

[DOI]

Ziyu Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mining bias-target Alignment from Voronoi Cells.

[BibT_eX]

[DOI]

Rémi Nahon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

All Predictions Matter: an Online Video Prediction Approach.

[BibT_eX]

[DOI]

Proceedings of the 11th European Workshop on Visual Information Processing, 2023

A Hitchhiker's Guide to White-Box Neural Network Watermarking Robustness.

[BibT_eX]

[DOI]

Proceedings of the 11th European Workshop on Visual Information Processing, 2023

2022

SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2022

Disentangling private classes through regularization.

[BibT_eX]

[DOI]

Francesca Gennari

CoRR, 2022

Unsupervised Learning of Unbiased Visual Representations.

[BibT_eX]

[DOI]

CoRR, 2022

REM: Routing Entropy Minimization for Capsule Networks.

[BibT_eX]

[DOI]

Riccardo Renzulli

CoRR, 2022

To update or not to update? Neurons at equilibrium in deep models.

[BibT_eX]

[DOI]

Andrea Bragagnolo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Rise of the Lottery Heroes: Why Zero-Shot Pruning is Hard.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

UniToBrain Dataset: A Brain Perfusion Dataset.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Information Removal at the bottleneck in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures.

[BibT_eX]

[DOI]

Proceedings of the Technologies and Applications for Big Data Value, 2022

2021

UniTOBrain.

[BibT_eX]

[DOI]

Dataset, July, 2021

UniToBrain Dataset.

[BibT_eX]

[DOI]

Dataset, June, 2021

UniToBrain Dataset.

[BibT_eX]

[DOI]

Dataset, June, 2021

UniToBrain Dataset.

[BibT_eX]

[DOI]

Dataset, June, 2021

UniToBrain Dataset.

[BibT_eX]

[DOI]

Dataset, June, 2021

UniToBrain Dataset.

[BibT_eX]

[DOI]

Dataset, June, 2021

UNITOPATHO.

[BibT_eX]

[DOI]

Luca Bertero

Dataset, May, 2021

HEMP: High-order entropy minimization for neural network compression.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Dysplasia grading of colorectal polyps through CNN analysis of WSI.

[BibT_eX]

[DOI]

CoRR, 2021

A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke.

[BibT_eX]

[DOI]

CoRR, 2021

Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images.

[BibT_eX]

[DOI]

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

A Hitchhiker's Guide towards Transactive Memory System Modeling in Small Group Interactions.

[BibT_eX]

[DOI]

Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021

On the Role of Structured Pruning for Neural Network Compression.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Bridging the gap between debiasing and privacy for deep learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Capsule Networks with Routing Annealing.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

EnD: Entangling and Disentangling Deep Representations for Bias Correction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data.

[BibT_eX]

[DOI]

Claudio Berzovini

Marco Calandri

CoRR, 2020

A non-discriminatory approach to ethical deep learning.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Trust, 2020

Delving in the loss landscape to embed robust watermarks into neural networks.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima.

[BibT_eX]

[DOI]

Andrea Bragagnolo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Take a Ramble into Solution Spaces for Classification Problems in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Post-synaptic Potential Regularization Has Potential.

[BibT_eX]

[DOI]

Daniele Perlo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Learning sparse neural networks via sensitivity-driven regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

On the role of synaptic stochasticity in training low-precision neural networks.

[BibT_eX]

[DOI]

CoRR, 2017

2015

Communication Scheduling and Buslet Synthesis for Low-Interconnect HLS Designs.

[BibT_eX]

[DOI]