Large-scale multi-objective influence maximisation with network downscaling
Published in International Conference on Parallel Problem Solving from Nature (PPSN), September 2022, 2022
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publications
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 of Machine Learning (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
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training
Published in Workshop on Sparsity in LLMs (SLLM) @ ICLR 2025, 2024
2SSP: A Two-Stage Framework for Structured Pruning of LLMs
Published in Workshop on Sparsity in LLMs (SLLM) @ ICLR 2025
* Equal contribution, 2025
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.