Cannistraci, Carlo Vittorio

9 publications

NeurIPS 2025 Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-Based Link Prediction Jialin Zhao, Alessandro Muscoloni, Umberto Michieli, Yingtao Zhang, Carlo Vittorio Cannistraci

NeurIPS 2025 Brain Network Science Modelling of Sparse Neural Networks Enables Transformers and LLMs to Perform as Fully Connected Yingtao Zhang, Diego Cerretti, Jialin Zhao, Wenjing Wu, Ziheng Liao, Umberto Michieli, Carlo Vittorio Cannistraci

ICLRW 2025 Brain-Inspired Sparse Training Enables Transformers and LLMs to Perform as Fully Connected Yingtao Zhang, Jialin Zhao, Wenjing Wu, Ziheng Liao, Umberto Michieli, Carlo Vittorio Cannistraci

ICML 2025 Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Jialin Zhao, Yingtao Zhang, Carlo Vittorio Cannistraci

ICLRW 2025 Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Jialin Zhao, Yingtao Zhang, Carlo Vittorio Cannistraci

ICML 2025 Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci

ICLRW 2025 Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci

ICLR 2024 Epitopological Learning and Cannistraci-Hebb Network Shape Intelligence Brain-Inspired Theory for Ultra-Sparse Advantage in Deep Learning Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci

ICLR 2024 Plug-and-Play: An Efficient Post-Training Pruning Method for Large Language Models Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci