Pietro Lio
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
7
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks. | Ming Li, Yujie Fang, Dongrui Shen, Han Feng, Xiaosheng Zhuang, Kelin Xia, Pietro Lio |
| 2026 | AAAI | Permutation Equivariant Framelet-based Hypergraph Neural Networks. | Ming Li, Yi Wang, Chengling Gao, Lu Bai, Yujie Fang, Xiaosheng Zhuang, Pietro Lio |
| 2026 | ACL | The Mechanics of Interference: Defusing Distractors in RAG via Sparse Autoencoder Interventions. | Christian Giannetti, Giovanni Trappolini, Nicola Tonellotto, Fabrizio Silvestri, Pietro Lio |
| 2026 | AIME | Late-Fusion of 2D Ultrasound and IVF Cycle Data for Predicting Clinical Pregnancy Outcomes. | May Levin, Mo Vali, Saaliha Vali, Pietro Lio, Staci Meredith Weiss, Meen-Yau Thum |
| 2026 | AIME | ECG-SurvHF: Adversarial Transformer Modeling for Heart Failure Risk Prediction. | Tadiyos Hailemichael Mamo, Mohammed Hasanuzzaman, Hui Wang, Pietro Lio |
| 2025 | AAAI | KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis. | Kaiwen Zuo, Yirui Jiang, Fan Mo, Pietro Lio |
| 2025 | ICLR | Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations. | Richard Bergna, Sergio Calvo-Ordoez, Felix L. Opolka, Pietro Lio, Jos Miguel Hernndez-Lobato |
| 2025 | ICLR | SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints. | Miruna T. Cretu, Charles Harris, Ilia Igashov, Arne Schneuing, Marwin H. S. Segler, Bruno E. Correia, Julien Roy, Emmanuel Bengio, Pietro Lio |
| 2025 | ICLR | gRNAde: Geometric Deep Learning for 3D RNA inverse design. | Chaitanya K. Joshi, Arian Rokkum Jamasb, Ramn Vias Torn, Charles Harris, Simon V. Mathis, Alex Morehead, Rishabh Anand, Pietro Lio |
| 2025 | ICML | EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction. | Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio |
| 2025 | ICML | SPHINX: Structural Prediction using Hypergraph Inference Network. | Iulia Duta, Pietro Lio |
| 2025 | ICML | NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones. | Urszula Julia Komorowska, Francisco Vargas, Alessandro Rondina, Pietro Lio, Mateja Jamnik |
| 2025 | ICML | Stochastic Encodings for Active Feature Acquisition. | Alexander Luke Ian Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio |
| 2025 | ICML | Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification. | Flavio Petruzzellis, Cristina Cornelio, Pietro Lio |
| 2025 | ICML | G-Adaptivity: optimised graph-based mesh relocation for finite element methods. | James Rowbottom, Georg Maierhofer, Teo Deveney, Eike Hermann Mller, Alberto Paganini, Katharina Schratz, Pietro Lio, Carola-Bibiane Schnlieb, Chris J. Budd |
| 2025 | ISCC | Split Learning Privacy Protection Method Based on Differential Computing. | Xiaofeng Lu, Yinghui Li, Pietro Lio |
| 2024 | EMNLP | HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs. | Adrin Bazaga, Pietro Lio, Gos Micklem |
| 2024 | ICLR | Language Model Knowledge Distillation for Efficient Question Answering in Spanish. | Adrin Bazaga, Pietro Lio, Gos Micklem |
| 2024 | ICLR | Unsupervised Pretraining for Fact Verification by Language Model Distillation. | Adrin Bazaga, Pietro Lio, Gos Micklem |
| 2024 | ICLR | Evaluating Representation Learning on the Protein Structure Universe. | Arian Rokkum Jamasb, Alex Morehead, Chaitanya K. Joshi, Zuobai Zhang, Kieran Didi, Simon V. Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom L. Blundell |
| 2024 | ICLR | Dynamics-Informed Protein Design with Structure Conditioning. | Urszula Julia Komorowska, Simon V. Mathis, Kieran Didi, Francisco Vargas, Pietro Lio, Mateja Jamnik |
| 2024 | ICML | How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. | Keke Huang, Yu Guang Wang, Ming Li, Pietro Lio |
| 2024 | ICML | Position: Topological Deep Learning is the New Frontier for Relational Learning. | Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi |
| 2023 | ICLR | Adaptive Distance Message Passing From the Multi-Relational Edge View. | Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu |
| 2023 | ICML | Interpretable Neural-Symbolic Concept Reasoning. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frdric Precioso, Mateja Jamnik, Giuseppe Marra |
| 2023 | ICML | On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. | Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein |
| 2023 | ICML | On the Expressive Power of Geometric Graph Neural Networks. | Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Lio |