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ORCIDPietro Liò
Pietro Lió – Pietro Lio' – Pietro Lio
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- affiliation: University of Cambridge, Department of Computer Science and Technology, UK
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2020 – today
- 2023
[j127]Gabriele Ciravegna
, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. Artif. Intell. 314: 103822 (2023)- [j126]Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong:
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine 152: 106368 (2023) - [j125]Zhikang Wang, Qian Gao, Xiaoping Yi, Xinyu Zhang, Yiwen Zhang, Daokun Zhang, Pietro Liò, Chris Bain, Richard Bassed, Shanshan Li, Yuming Guo, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song:
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. Comput. Methods Programs Biomed. 241: 107733 (2023) - [j124]Andrija Petrovic, Mladen Nikolic, Ugljesa Bugaric, Boris Delibasic, Pietro Liò:
Controlling highway toll stations using deep learning, queuing theory, and differential evolution. Eng. Appl. Artif. Intell. 119: 105683 (2023) - [j123]David Buterez, Jon Paul Janet, Steven J. Kiddle, Pietro Liò:
MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning. J. Chem. Inf. Model. 63(9): 2667-2678 (2023) - [j122]Anjir Ahmed Chowdhury, S. M. Hasan Mahmud, Khadija Kubra Shahjalal Hoque, Kawsar Ahmed, Francis M. Bui, Pietro Lio, Mohammad Ali Moni, Fahad Ahmed Al-Zahrani:
StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101647 (2023) - [j121]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni:
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks 162: 271-287 (2023) - [j120]Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió:
Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1211-1220 (2023) - [j119]Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. IEEE Trans. Medical Imaging 42(5): 1363-1373 (2023) - [j118]Xiaofeng Lu, Fan Yang, Luwen Zou, Pietro Liò, Pan Hui:
An LTE Authentication and Key Agreement Protocol Based on the ECC Self-Certified Public Key. IEEE/ACM Trans. Netw. 31(3): 1101-1116 (2023) - [j117]Xiaofeng Lu, Chao Liu, Senhao Zhu, Yilu Mao, Pietro Lio, Pan Hui:
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning. IEEE Trans. Parallel Distributed Syst. 34(12): 3266-3279 (2023) - [c171]Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik:
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. AAAI 2023: 9081-9089 - [c170]Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. AAAI 2023: 10675-10683 - [c169]Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CVPR 2023: 10449-10458 - [c168]Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini:
Global Explainability of GNNs via Logic Combination of Learned Concepts. ICLR 2023 - [c167]Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò:
Latent Graph Inference using Product Manifolds. ICLR 2023 - [c166]Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu:
Adaptive Distance Message Passing From the Multi-Relational Edge View. Tiny Papers @ ICLR 2023 - [c165]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. ICML 2023: 1801-1825 - [c164]Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein:
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. ICML 2023: 7865-7885 - [c163]Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Lio:
On the Expressive Power of Geometric Graph Neural Networks. ICML 2023: 15330-15355 - [c162]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. NeSy 2023: 422-423 - [c161]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. NeSy 2023: 432-433 - [c160]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Graph classification Gaussian processes via spectral features. UAI 2023: 1575-1585 - [c159]Xiaofeng Lu, Xiaoyu Zhang, Pietro Lió:
GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network. WWW (Companion Volume) 2023: 127-131 - [c158]Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió:
A Federated Learning Benchmark for Drug-Target Interaction. WWW (Companion Volume) 2023: 1177-1181 - [c157]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò:
Concept Distillation in Graph Neural Networks. xAI (3) 2023: 233-255 - [p1]Gabriele Ciravegna, Francesco Giannini, Pietro Barbiero, Marco Gori, Pietro Lio, Marco Maggini, Stefano Melacci:
Learning Logic Explanations by Neural Networks. Compendium of Neurosymbolic Artificial Intelligence 2023: 547-558 - [d3]Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Pietro Liò, Eric R. Gamazon:
Hypergraph Factorisation Expression Quantitative Trait Loci. Zenodo, 2023
- [i196]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Liò:
A Comprehensive Survey of Graph-level Learning. CoRR abs/2301.05860 (2023) - [i195]Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò:
On the Expressive Power of Geometric Graph Neural Networks. CoRR abs/2301.09308 (2023) - [i194]Alexander Campbell, Simeon E. Spasov, Nicola Toschi, Pietro Liò:
DBGDGM: Dynamic Brain Graph Deep Generative Model. CoRR abs/2301.11408 (2023) - [i193]Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Pietro Liò, Yiren Zhao:
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration. CoRR abs/2301.11517 (2023) - [i192]Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini:
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR abs/2302.01018 (2023) - [i191]Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio', Michael M. Bronstein:
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. CoRR abs/2302.02941 (2023) - [i190]Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò:
GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR abs/2302.04899 (2023) - [i189]Filip Svoboda, Gianluca Mittone, Nicholas D. Lane, Pietro Liò:
A Federated Learning Benchmark for Drug-Target Interaction. CoRR abs/2302.07684 (2023) - [i188]Jin Zhu, Guang Yang, Pietro Liò:
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning. CoRR abs/2302.11184 (2023) - [i187]Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar:
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. CoRR abs/2302.12749 (2023) - [i186]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Liò, Julian M. W. Quinn, Mohammad Ali Moni:
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. CoRR abs/2303.06020 (2023) - [i185]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Liò, Nicola Toschi:
Multimodal and multicontrast image fusion via deep generative models. CoRR abs/2303.15963 (2023) - [i184]Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR abs/2304.04906 (2023) - [i183]Emma L. Ambags, Giulia Capitoli, Vincenzo L' Imperio, Michele Provenzano, Marco S. Nobile, Pietro Liò:
Assisting clinical practice with fuzzy probabilistic decision trees. CoRR abs/2304.07788 (2023) - [i182]Antonio Purificato, Giulia Cassarà, Pietro Liò, Fabrizio Silvestri:
Sheaf Neural Networks for Graph-based Recommender Systems. CoRR abs/2304.09097 (2023) - [i181]Francesco Bardozzo, Andrea Terlizzi, Pietro Liò, Roberto Tagliaferri:
ElegansNet: a brief scientific report and initial experiments. CoRR abs/2304.13538 (2023) - [i180]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. CoRR abs/2304.14068 (2023) - [i179]Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Alberto Tonda, Pietro Liò, Elena Di Lavore:
Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics. CoRR abs/2304.14094 (2023) - [i178]King Fai Yeh, Paris D. L. Flood, William Redman, Pietro Liò:
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing. CoRR abs/2305.09060 (2023) - [i177]Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic:
Deep Multiple Instance Learning with Distance-Aware Self-Attention. CoRR abs/2305.10552 (2023) - [i176]Chaitanya K. Joshi, Arian R. Jamasb, Ramón Viñas, Charles Harris, Simon V. Mathis, Pietro Liò:
Multi-State RNA Design with Geometric Multi-Graph Neural Networks. CoRR abs/2305.14749 (2023) - [i175]Kamil Bujel, Yonatan Gideoni, Chaitanya K. Joshi, Pietro Liò:
Group Invariant Global Pooling. CoRR abs/2305.19207 (2023) - [i174]Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri:
Renormalized Graph Neural Networks. CoRR abs/2306.00707 (2023) - [i173]Xiaoyong Mei, Yi Yang, Ming Li, Changqin Huang, Kai Zhang, Pietro Lió:
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution. CoRR abs/2306.01500 (2023) - [i172]Veronica Lachi, Giovanna Maria Dimitri, Alessandro Di Stefano, Pietro Liò, Monica Bianchini, Chiara Mocenni:
Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis. CoRR abs/2306.02838 (2023) - [i171]Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò:
CIN++: Enhancing Topological Message Passing. CoRR abs/2306.03561 (2023) - [i170]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Graph Classification Gaussian Processes via Spectral Features. CoRR abs/2306.03770 (2023) - [i169]Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden, Pietro Liò:
Neural Embeddings for Protein Graphs. CoRR abs/2306.04667 (2023) - [i168]Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Liò, Andrija Petrovic:
Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models. CoRR abs/2306.05052 (2023) - [i167]Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao:
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs. CoRR abs/2306.05108 (2023) - [i166]Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Liò:
Neural Algorithmic Reasoning for Combinatorial Optimisation. CoRR abs/2306.06064 (2023) - [i165]Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang:
Graph Denoising Diffusion for Inverse Protein Folding. CoRR abs/2306.16819 (2023) - [i164]Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski:
SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR abs/2307.00316 (2023) - [i163]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i162]Rishabh Jain, Petar Velickovic, Pietro Liò:
Neural Priority Queues for Graph Neural Networks. CoRR abs/2307.09660 (2023) - [i161]Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero:
Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR abs/2307.11688 (2023) - [i160]Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò:
Topological Graph Signal Compression. CoRR abs/2308.11068 (2023) - [i159]Xiandong Zou, Xiangyu Zhao, Pietro Liò, Yiren Zhao:
Will More Expressive Graph Neural Networks do Better on Generative Tasks? CoRR abs/2308.11978 (2023) - [i158]Richard Bergna, Felix L. Opolka, Pietro Liò, José Miguel Hernández-Lobato:
Graph Neural Stochastic Differential Equations. CoRR abs/2308.12316 (2023) - [i157]Michail Mamalakis, Héloïse de Vareilles, Atheer AI-Manea, Samantha C. Mitchell, Ingrid Arartz, Lynn Egeland Morch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray:
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition. CoRR abs/2309.00903 (2023) - [i156]Adrián Bazaga, Pietro Liò, Gos Micklem:
Unsupervised Fact Verification by Language Model Distillation. CoRR abs/2309.16540 (2023) - [i155]Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Liò:
Sheaf Hypergraph Networks. CoRR abs/2309.17116 (2023) - [i154]Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernárdez, Olga Zaghen, Simone Scardapane, Pietro Lio:
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design. CoRR abs/2310.07684 (2023) - [i153]Adrián Bazaga, Pietro Liò, Gos Micklem:
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation. CoRR abs/2310.18376 (2023) - [i152]Jialin Chen, Yuelin Wang, Cristian Bodnar, Rex Ying, Pietro Lio, Yuguang Wang:
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation. CoRR abs/2311.05767 (2023) - [i151]Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà:
From Charts to Atlas: Merging Latent Spaces into One. CoRR abs/2311.06547 (2023) - [i150]Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Traffic Video Object Detection using Motion Prior. CoRR abs/2311.10092 (2023) - [i149]Max Zhu, Sinisa Stanivuk, Andrija Petrovic, Mladen Nikolic, Pietro Lio:
Incorporating LLM Priors into Tabular Learners. CoRR abs/2311.11628 (2023) - [i148]Yuan Lu, Haitz Sáez de Ocáriz Borde, Pietro Liò:
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference. CoRR abs/2311.11891 (2023) - 2022
- [j116]Ramón Viñas, Helena Andrés-Terré, Pietro Liò, Kevin Bryson:
Adversarial generation of gene expression data. Bioinform. 38(3): 730-737 (2022) - [j115]David Buterez, Ioana Bica, Ifrah Tariq, Helena Andrés-Terré, Pietro Liò:
CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks. Bioinform. 38(5): 1277-1286 (2022) - [j114]Paul Scherer, Maja Trebacz, Nikola Simidjievski, Ramón Viñas, Zohreh Shams, Helena Andrés-Terré, Mateja Jamnik, Pietro Liò:
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases. Bioinform. 38(5): 1320-1327 (2022) - [j113]Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong:
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Comput. Biol. Medicine 146: 105704 (2022) - [j112]Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong:
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput. Biol. Medicine 148: 105700 (2022) - [j111]Helena Coggan, Helena Andrés-Terré, Pietro Liò:
A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth. Frontiers Big Data 5 (2022) - [j110]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi:
Multimodal and multicontrast image fusion via deep generative models. Inf. Fusion 88: 146-160 (2022) - [j109]Xiaofeng Lu, Yuying Liao, Chao Liu, Pietro Liò, Pan Hui:
Heterogeneous Model Fusion Federated Learning Mechanism Based on Model Mapping. IEEE Internet Things J. 9(8): 6058-6068 (2022) - [j108]Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong:
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. J. Comput. Aided Mol. Des. 36(11): 781-796 (2022) - [j107]Tiago Azevedo, Alexander Campbell, Rafael Romero-Garcia, Luca Passamonti, Richard A. I. Bethlehem, Pietro Liò, Nicola Toschi:
A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data. Medical Image Anal. 79: 102471 (2022) - [j106]Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori:
Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 723-726 (2022) - [j105]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Ge Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis. Proc. IEEE 110(2): 224-245 (2022) - [j104]Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi, Pietro Liò:
System Neural Network: Evolution and Change Based Structure Learning. IEEE Trans. Artif. Intell. 3(3): 426-435 (2022) - [c156]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-Based Logic Explanations of Neural Networks. AAAI 2022: 6046-6054 - [c155]Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió:
Algorithmic Concept-Based Explainable Reasoning. AAAI 2022: 6685-6693 - [c154]Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong:
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets. AISTATS 2022: 4818-4834 - [c153]Felix L. Opolka, Pietro Liò:
Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes. AISTATS 2022: 4835-4852 - [c152]Xiaofeng Lu, Renyu Pang, Pietro Liò:
Poster: CFMAP: A Robust CPU Clock Fingerprint Model for Device Authentication. CCS 2022: 3407-3409 - [c151]Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi A. Wijaya, Mateja Jamnik, Pietro Liò:
Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations. CIKM Workshops 2022 - [c150]Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò:
Extending Logic Explained Networks to Text Classification. EMNLP 2022: 8838-8857 - [c149]Alexander Campbell, Lorena Qendro, Pietro Liò, Cecilia Mascolo:
Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles. ICASSP 2022: 3998-4002 - [c148]Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas Donald Lane:
Do We Need Anisotropic Graph Neural Networks? ICLR 2022 - [c147]Junchao Fan, Jiawei Pei, Xiuli Bi, Bin Xiao, Pietro Liò:
Context Correlation Aware Network for Cardiac Segmentation. ICME 2022: 1-6 - [c146]Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió:
Attentional Meta-learners for Few-shot Polythetic Classification. ICML 2022: 4867-4889 - [c145]Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lió:
3D Infomax improves GNNs for Molecular Property Prediction. ICML 2022: 20479-20502 - [c144]Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. LoG 2022: 10 - [c143]Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang:
Well-Conditioned Spectral Transforms for Dynamic Graph Representation. LoG 2022: 12 - [c142]Paul Scherer, Pietro Liò, Mateja Jamnik:
Distributed Representations of Graphs for Drug Pair Scoring. LoG 2022: 22 - [c141]Yu He, Petar Velickovic, Pietro Liò, Andreea Deac:
Continuous Neural Algorithmic Planners. LoG 2022: 54 - [c140]Pengfang Qian, Junwei Yang, Pietro Lió, Peng Hu, Haikun Qi:
Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net. MIUA 2022: 65-74 - [c139]Xiaofeng Lu, Jinglun Zhao, Pietro Lió:
Robust android malware detection based on subgraph network and denoising GCN network. MobiSys 2022: 549-550 - [c138]