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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Elia Cunegatti is a PhD researcher working on efficient deep learning, model compression, pruning, and sparsity.
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
extra
publications
Large-scale multi-objective influence maximisation with network downscaling
Published in International Conference on Parallel Problem Solving from Nature (PPSN), September 2022, 2022
Pruning at initialization vs random pruning: Do they produce topologically different sparse neural networks?
Published in Workshop on Sparsity in Neural Networks @ ICLR 2023, May 2023, 2023
Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations
Published in Transaction on Machine Learning Research (TMLR), April 2024, 2024
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024, 2024
Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time
Published in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), July 2024, 2024
Neuron-centric Hebbian Learning
Published in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), July 2024, 2024
Influence Maximization in Hypergraphs using Multi-Objective Evolutionary Algorithms
Published in International Conference on Parallel Problem Solving from Nature (PPSN), September 2024, 2024
2SSP: A Two-Stage Framework for Structured Pruning of LLMs
Published in Transaction on Machine Learning Research (TMLR), August 2025
* Equal contribution, 2025
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training
Published in Transaction on Machine Learning Research (TMLR), November 2025, 2025
From Layers to Submodules: Rethinking Granularity in Replacement-Based LLM Compression
Published in Findings of the Association for Computational Linguistics: EMNLP 2026, 2026
Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
Published in Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), 2026
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.