Petar Velickovic

156 papers A* 27A 1B 1C 1Journal 103Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Evidence that Language Models use Confidence to Drive Behavior. CoRR Dharshan Kumaran, Nathaniel Daw, Simon Osindero, Petar Velickovic, Viorica Patraucean
2026	J	`jnl`	How do LLMs Compute Verbal Confidence. CoRR Dharshan Kumaran, Arthur Conmy, Federico Barbero, Simon Osindero, Viorica Patraucean, Petar Velickovic
2026	J	`jnl`	Mining Generalizable Activation Functions. CoRR Alex Vitvitskyi, Michael Boratko, Matej Grcic, Razvan Pascanu, Deep Shah, Petar Velickovic
2026	J	`jnl`	Perplexity Cannot Always Tell Right from Wrong. CoRR Petar Velickovic, Federico Barbero, Christos Perivolaropoulos, Simon Osindero, Razvan Pascanu
2025	J	`jnl`	Extracting alignment data in open models. CoRR Federico Barbero, Xiangming Gu, Christopher A. Choquette-Choo, Chawin Sitawarin, Matthew Jagielski, Itay Yona, Petar Velickovic, Ilia Shumailov, Jamie Hayes
2025	J	`jnl`	Filter Equivariant Functions: A symmetric account of length-general extrapolation on lists. CoRR Owen Lewis, Neil Ghani, Andrew Dudzik, Christos Perivolaropoulos, Razvan Pascanu, Petar Velickovic
2025	J	`jnl`	How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models. CoRR Dharshan Kumaran, Stephen M. Fleming, Larisa Markeeva, Joe Heyward, Andrea Banino, Mrinal Mathur, Razvan Pascanu, Simon Osindero, Benedetto De Martino, Petar Velickovic, Viorica Patraucean
2025	J	`jnl`	KNARsack: Teaching Neural Algorithmic Reasoners to Solve Pseudo-Polynomial Problems. CoRR Stjepan Pozgaj, Dobrik Georgiev, Marin Silic, Petar Velickovic
2025	J	`jnl`	Leveraging Classical Algorithms for Graph Neural Networks. CoRR Jason Wu, Petar Velickovic
2025	A*	`conf`	Mastering Board Games by External and Internal Planning with Language Models. ICML John Schultz, Jakub Adámek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
2025	J	`jnl`	Optimizers Qualitatively Alter Solutions And We Should Leverage This. CoRR Razvan Pascanu, Clare Lyle, Ionut-Vlad Modoranu, Naima Elosegui Borras, Dan Alistarh, Petar Velickovic, Sarath Chandar, Soham De, James Martens
2025	A*	`conf`	Positional Attention: Expressivity and Learnability of Algorithmic Computation. ICML Artur Back de Luca, George Giapitzakis, Shenghao Yang, Petar Velickovic, Kimon Fountoulakis
2025	A*	`conf`	Round and Round We Go! What makes Rotary Positional Encodings useful? ICLR Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Velickovic
2025	A*	`conf`	Softmax is not Enough (for Sharp Size Generalisation). ICML Petar Velickovic, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu
2025	J	`jnl`	Wavelet-Induced Rotary Encodings: RoPE Meets Graphs. CoRR Isaac Reid, Arijit Sehanobish, Cederik Höfs, Bruno Mlodozeniec, Leonhard Vulpius, Federico Barbero, Adrian Weller, Krzysztof Choromanski, Richard E. Turner, Petar Velickovic
2025	A*	`conf`	What Makes a Good Feedforward Computational Graph? ICML Alex Vitvitskyi, João Guilherme Madeira Araújo, Marc Lackenby, Petar Velickovic
2025	J	`jnl`	What makes a good feedforward computational graph? CoRR Alex Vitvitskyi, João G. M. Araújo, Marc Lackenby, Petar Velickovic
2025	J	`jnl`	Why do LLMs attend to the first token? CoRR Federico Barbero, Alvaro Arroyo, Xiangming Gu, Christos Perivolaropoulos, Michael M. Bronstein, Petar Velickovic, Razvan Pascanu
2024	—	`conf`	Alignment of MPNNs and Graph Transformers. GRaM Bao Nguyen, Anjana Yodaiken, Petar Velickovic
2024	J	`jnl`	Amplifying human performance in combinatorial competitive programming. CoRR Petar Velickovic, Alex Vitvitskyi, Larisa Markeeva, Borja Ibarz, Lars Buesing, Matej Balog, Alexander Novikov
2024	—	`conf`	Asynchrony Invariance Loss Functions for Graph Neural Networks. GRaM Pablo Monteagudo-Lago, Arielle Rosinski, Andrew Joseph Dudzik, Petar Velickovic
2024	J	`jnl`	Categorical Deep Learning: An Algebraic Theory of Architectures. CoRR Bruno Gavranovic, Paul Lessard, Andrew Dudzik, Tamara von Glehn, João G. M. Araújo, Petar Velickovic
2024	—	`conf`	Cayley Graph Propagation. LoG JJ Wilson, Maya Bechler-Speicher, Petar Velickovic
2024	J	`jnl`	Cayley Graph Propagation. CoRR JJ Wilson, Maya Bechler-Speicher, Petar Velickovic
2024	—	`conf`	Commute-Time-Optimised Graphs for GNNs. GRaM Igor Sterner, Shiye Su, Petar Velickovic
2024	J	`jnl`	Commute-Time-Optimised Graphs for GNNs. CoRR Igor Sterner, Shiye Su, Petar Velickovic
2024	A*	`conf`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. IJCAI Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
2024	J	`jnl`	Geometric epitope and paratope prediction. Bioinform. Marco Pegoraro, Clémentine C. J. Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac
2024	J	`jnl`	How does over-squashing affect the power of GNNs? Trans. Mach. Learn. Res. Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
2024	J	`jnl`	Mastering Board Games by External and Internal Planning with Language Models. CoRR John Schultz, Jakub Adámek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
2024	J	`jnl`	NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms. CoRR Efimia Panagiotaki, Daniele De Martini, Lars Kunze, Petar Velickovic
2024	J	`jnl`	Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, 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
2024	A*	`conf`	Position: Categorical Deep Learning is an Algebraic Theory of All Architectures. ICML Bruno Gavranovic, Paul Lessard, Andrew Joseph Dudzik, Tamara von Glehn, João Guilherme Madeira Araújo, Petar Velickovic
2024	A*	`conf`	Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 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
2024	J	`jnl`	Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning. CoRR Artur Back de Luca, George Giapitzakis, Shenghao Yang, Petar Velickovic, Kimon Fountoulakis
2024	J	`jnl`	Recurrent Aggregators in Neural Algorithmic Reasoning. CoRR Kaijia Xu, Petar Velickovic
2024	J	`jnl`	Round and Round We Go! What makes Rotary Positional Encodings useful? CoRR Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Velickovic
2024	J	`jnl`	Temporal Graph Rewiring with Expander Graphs. CoRR Katarina Petrovic, Shenyang Huang, Farimah Poursafaei, Petar Velickovic
2024	J	`jnl`	The CLRS-Text Algorithmic Reasoning Language Benchmark. CoRR Larisa Markeeva, Sean McLeish, Borja Ibarz, Wilfried Bounsi, Olga Kozlova, Alex Vitvitskyi, Charles Blundell, Tom Goldstein, Avi Schwarzschild, Petar Velickovic
2024	J	`jnl`	Transformers meet Neural Algorithmic Reasoners. CoRR Wilfried Bounsi, Borja Ibarz, Andrew Dudzik, Jessica B. Hamrick, Larisa Markeeva, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic
2024	A*	`conf`	Transformers need glasses! Information over-squashing in language tasks. NeurIPS Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João Guilherme Madeira Araújo, Oleksandr Vitvitskyi, Razvan Pascanu, Petar Velickovic
2024	J	`jnl`	Transformers need glasses! Information over-squashing in language tasks. CoRR Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G. M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic
2024	J	`jnl`	softmax is not enough (for sharp out-of-distribution). CoRR Petar Velickovic, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu
2023	A*	`conf`	Affinity-Aware Graph Networks. NeurIPS Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Velickovic, Sreenivas Gollapudi
2023	—	`conf`	Asynchronous Algorithmic Alignment With Cocycles. LoG Andrew Joseph Dudzik, Tamara von Glehn, Razvan Pascanu, Petar Velickovic
2023	J	`jnl`	Asynchronous Algorithmic Alignment with Cocycles. CoRR Andrew Dudzik, Tamara von Glehn, Razvan Pascanu, Petar Velickovic
2023	J	`jnl`	Combinatorial Optimization and Reasoning with Graph Neural Networks. J. Mach. Learn. Res. Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
2023	A*	`conf`	Dual Algorithmic Reasoning. ICLR Danilo Numeroso, Davide Bacciu, Petar Velickovic
2023	J	`jnl`	Dual Algorithmic Reasoning. CoRR Danilo Numeroso, Davide Bacciu, Petar Velickovic
2023	J	`jnl`	Everything is Connected: Graph Neural Networks. CoRR Petar Velickovic
2023	J	`jnl`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
2023	J	`jnl`	Geometric Epitope and Paratope Prediction. CoRR Marco Pegoraro, Clémentine C. J. Dominé, Emanuele Rodolà, Petar Velickovic, Andreea Deac
2023	A*	`conf`	Half-Hop: A graph upsampling approach for slowing down message passing. ICML Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Velickovic, Eva L. Dyer
2023	J	`jnl`	Half-Hop: A graph upsampling approach for slowing down message passing. CoRR Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Velickovic, Eva L. Dyer
2023	J	`jnl`	How does over-squashing affect the power of GNNs? CoRR Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
2023	—	`conf`	Latent Space Representations of Neural Algorithmic Reasoners. LoG Vladimir V. Mirjanic, Razvan Pascanu, Petar Velickovic
2023	J	`jnl`	Latent Space Representations of Neural Algorithmic Reasoners. CoRR Vladimir V. Mirjanic, Razvan Pascanu, Petar Velickovic
2023	A*	`conf`	Neural Algorithmic Reasoning with Causal Regularisation. ICML Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2023	J	`jnl`	Neural Algorithmic Reasoning with Causal Regularisation. CoRR Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
2023	J	`jnl`	Neural Priority Queues for Graph Neural Networks. CoRR Rishabh Jain, Petar Velickovic, Pietro Liò
2023	—	`conf`	Parallel Algorithms Align With Neural Execution. LoG Valerie Engelmayer, Dobrik Georgiev, Petar Velickovic
2023	J	`jnl`	Parallel Algorithms Align with Neural Execution. CoRR Valerie Engelmayer, Dobrik Georgiev, Petar Velickovic
2023	—	`conf`	Recursive Algorithmic Reasoning. LoG Jonas Jürß, Dulhan Hansaja Jayalath, Petar Velickovic
2023	J	`jnl`	Recursive Algorithmic Reasoning. CoRR Dulhan Hansaja Jayalath, Jonas Jürß, Petar Velickovic
2023	J	`jnl`	Scientific discovery in the age of artificial intelligence. Nat. Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
2023	J	`jnl`	TacticAI: an AI assistant for football tactics. CoRR Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
2023	J	`jnl`	Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating. CoRR Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic
2023	J	`jnl`	Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating. Mach. Learn. Sci. Technol. Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi, Petar Velickovic
2022	—	`conf`	A Generalist Neural Algorithmic Learner. LoG Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
2022	J	`jnl`	A Generalist Neural Algorithmic Learner. CoRR Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
2022	J	`jnl`	Affinity-Aware Graph Networks. CoRR Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Velickovic, Sreenivas Gollapudi
2022	A*	`conf`	Algorithmic Concept-Based Explainable Reasoning. AAAI Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió
2022	—	`conf`	Continuous Neural Algorithmic Planners. LoG Yu He, Petar Velickovic, Pietro Liò, Andreea Deac
2022	J	`jnl`	Continuous Neural Algorithmic Planners. CoRR Yu He, Petar Velickovic, Pietro Liò, Andreea Deac
2022	—	`conf`	Expander Graph Propagation. LoG Andreea Deac, Marc Lackenby, Petar Velickovic
2022	J	`jnl`	Expander Graph Propagation. CoRR Andreea Deac, Marc Lackenby, Petar Velickovic
2022	A*	`conf`	Graph Neural Networks are Dynamic Programmers. NeurIPS Andrew Joseph Dudzik, Petar Velickovic
2022	J	`jnl`	Graph Neural Networks are Dynamic Programmers. CoRR Andrew Dudzik, Petar Velickovic
2022	A*	`conf`	Large-Scale Representation Learning on Graphs via Bootstrapping. ICLR Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L. Dyer, Rémi Munos, Petar Velickovic, Michal Valko
2022	—	`conf`	Learnable Commutative Monoids for Graph Neural Networks. LoG Euan Ong, Petar Velickovic
2022	J	`jnl`	Learnable Commutative Monoids for Graph Neural Networks. CoRR Euan Ong, Petar Velickovic
2022	—	`conf`	Learning Graph Search Heuristics. LoG Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Zhitao Ying, Jure Leskovec, Pietro Liò
2022	J	`jnl`	Learning Graph Search Heuristics. CoRR Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò
2022	J	`jnl`	Learning heuristics for A. CoRR Danilo Numeroso, Davide Bacciu, Petar Velickovic
2022	A*	`conf`	Learning to Configure Computer Networks with Neural Algorithmic Reasoning. NeurIPS Luca Beurer-Kellner, Martin T. Vechev, Laurent Vanbever, Petar Velickovic
2022	J	`jnl`	Learning to Configure Computer Networks with Neural Algorithmic Reasoning. CoRR Luca Beurer-Kellner, Martin T. Vechev, Laurent Vanbever, Petar Velickovic
2022	J	`jnl`	Message passing all the way up. CoRR Petar Velickovic
2022	—	`conf`	Reasoning-Modulated Representations. LoG Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
2022	—	`conf`	Sheaf Neural Networks with Connection Laplacians. TAG-ML Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
2022	J	`jnl`	Sheaf Neural Networks with Connection Laplacians. CoRR Federico Barbero, Cristian Bodnar, Haitz Sáez de Ocáriz Borde, Michael M. Bronstein, Petar Velickovic, Pietro Liò
2022	A*	`conf`	Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond. ICLR Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
2022	A*	`conf`	The CLRS Algorithmic Reasoning Benchmark. ICML Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
2022	J	`jnl`	The CLRS Algorithmic Reasoning Benchmark. CoRR Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
2022	—	`conf`	Utility of Equivariant Message Passing in Cortical Mesh Segmentation. MIUA Dániel Unyi, Ferdinando Insalata, Petar Velickovic, Bálint Gyires-Tóth
2022	J	`jnl`	Utility of Equivariant Message Passing in Cortical Mesh Segmentation. CoRR Dániel Unyi, Ferdinando Insalata, Petar Velickovic, Bálint Gyires-Tóth
2021	J	`jnl`	Advancing mathematics by guiding human intuition with AI. Nat. Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli
2021	J	`jnl`	Algorithmic Concept-based Explainable Reasoning. CoRR Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò
2021	J	`jnl`	Bootstrapped Representation Learning on Graphs. CoRR Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Rémi Munos, Petar Velickovic, Michal Valko
2021	A*	`conf`	Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
2021	J	`jnl`	Combinatorial optimization and reasoning with graph neural networks. CoRR Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
2021	A	`conf`	ETA Prediction with Graph Neural Networks in Google Maps. CIKM Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
2021	J	`jnl`	ETA Prediction with Graph Neural Networks in Google Maps. CoRR Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
2021	J	`jnl`	Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges. CoRR Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Velickovic
2021	A*	`conf`	How to transfer algorithmic reasoning knowledge to learn new algorithms? NeurIPS Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
2021	J	`jnl`	How to transfer algorithmic reasoning knowledge to learn new algorithms? CoRR Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
2021	J	`jnl`	Large-scale graph representation learning with very deep GNNs and self-supervision. CoRR Ravichandra Addanki, Peter W. Battaglia, David Budden, Andreea Deac, Jonathan Godwin, Thomas Keck, Wai Lok Sibon Li, Alvaro Sanchez-Gonzalez, Jacklynn Stott, Shantanu Thakoor, Petar Velickovic
2021	A*	`conf`	Neural Algorithmic Reasoners are Implicit Planners. NeurIPS Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
2021	J	`jnl`	Neural Algorithmic Reasoners are Implicit Planners. CoRR Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
2021	J	`jnl`	Neural Algorithmic Reasoning. CoRR Petar Velickovic, Charles Blundell
2021	A*	`conf`	Neural Distance Embeddings for Biological Sequences. NeurIPS Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò
2021	J	`jnl`	Neural Distance Embeddings for Biological Sequences. CoRR Gabriele Corso, Rex Ying, Michal Pándy, Petar Velickovic, Jure Leskovec, Pietro Liò
2021	J	`jnl`	Neural algorithmic reasoning. Patterns Petar Velickovic, Charles Blundell
2021	J	`jnl`	Neural message passing for joint paratope-epitope prediction. CoRR Alice Del Vecchio, Andreea Deac, Pietro Liò, Petar Velickovic
2021	A*	`conf`	On the role of planning in model-based deep reinforcement learning. ICLR Jessica B. Hamrick, Abram L. Friesen, Feryal M. P. Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Holger Buesing, Petar Velickovic, Theophane Weber
2021	J	`jnl`	Persistent Message Passing. CoRR Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Velickovic
2021	J	`jnl`	Predicting Patient Outcomes with Graph Representation Learning. CoRR Emma Rocheteau, Catherine Tong, Petar Velickovic, Nicholas D. Lane, Pietro Liò
2021	J	`jnl`	Reasoning-Modulated Representations. CoRR Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
2021	J	`jnl`	Relating Graph Neural Networks to Structural Causal Models. CoRR Matej Zecevic, Devendra Singh Dhami, Petar Velickovic, Kristian Kersting
2021	J	`jnl`	Very Deep Graph Neural Networks Via Noise Regularisation. CoRR Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
2020	J	`jnl`	A step towards neural genome assembly. CoRR Lovro Vrcek, Petar Velickovic, Mile Sikic
2020	J	`jnl`	Hierachial Protein Function Prediction with Tails-GNNs. CoRR Stefan Spalevic, Petar Velickovic, Jovana J. Kovacevic, Mladen Nikolic
2020	A*	`conf`	Neural Execution of Graph Algorithms. ICLR Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
2020	J	`jnl`	On the role of planning in model-based deep reinforcement learning. CoRR Jessica B. Hamrick, Abram L. Friesen, Feryal M. P. Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Velickovic, Théophane Weber
2020	A*	`conf`	Pointer Graph Networks. NeurIPS Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
2020	J	`jnl`	Pointer Graph Networks. CoRR Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
2020	A*	`conf`	Principal Neighbourhood Aggregation for Graph Nets. NeurIPS Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic
2020	J	`jnl`	Principal Neighbourhood Aggregation for Graph Nets. CoRR Gabriele Corso, Luca Cavalleri, Dominique Beaini, Pietro Liò, Petar Velickovic
2020	J	`jnl`	XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification. IEEE Trans. Neural Networks Learn. Syst. Catalina Cangea, Petar Velickovic, Pietro Liò
2020	J	`jnl`	XLVIN: eXecuted Latent Value Iteration Nets. CoRR Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
2019	J	`jnl`	Attentive Cross-Modal Paratope Prediction. J. Comput. Biol. Andreea Deac, Petar Velickovic, Pietro Sormanni
2019	J	`jnl`	ChronoMID - Cross-Modal Neural Networks for 3-D Temporal Medical Imaging Data. CoRR Alexander G. Rakowski, Petar Velickovic, Enrico Dall'Ara, Pietro Liò
2019	—	`conf`	Deep Graph Infomax. ICLR (Poster) Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm
2019	J	`jnl`	Drug-Drug Adverse Effect Prediction with Graph Co-Attention. CoRR Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Liò, Jian Tang
2019	J	`jnl`	Neural Execution of Graph Algorithms. CoRR Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
2019	J	`jnl`	Spatio-Temporal Deep Graph Infomax. CoRR Felix L. Opolka, Aaron Solomon, Catalina Cangea, Petar Velickovic, Pietro Liò, R. Devon Hjelm
2019	J	`jnl`	The PlayStation Reinforcement Learning Environment (PSXLE). CoRR Carlos Purves, Catalina Cangea, Petar Velickovic
2019	—	`—`	The resurgence of structure in deep neural networks Petar Velickovic
2018	J	`jnl`	Attentive cross-modal paratope prediction. CoRR Andreea Deac, Petar Velickovic, Pietro Sormanni
2018	C	`conf`	Automatic Inference of Cross-Modal Connection Topologies for X-CNNs. ISNN Laurynas Karazija, Petar Velickovic, Pietro Liò
2018	J	`jnl`	Automatic Inference of Cross-modal Connection Topologies for X-CNNs. CoRR Laurynas Karazija, Petar Velickovic, Pietro Liò
2018	—	`conf`	Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data. PervasiveHealth Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville
2018	J	`jnl`	Deep Graph Infomax. CoRR Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm
2018	—	`conf`	Graph Attention Networks. ICLR (Poster) Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio
2018	B	`conf`	Multi-omics data integration using cross-modal neural networks. ESANN Ioana Bica, Petar Velickovic, Hui Xiao
2018	J	`jnl`	Parapred: antibody paratope prediction using convolutional and recurrent neural networks. Bioinform. Edgar Liberis, Petar Velickovic, Pietro Sormanni, Michele Vendruscolo, Pietro Liò
2018	J	`jnl`	Towards Sparse Hierarchical Graph Classifiers. CoRR Catalina Cangea, Petar Velickovic, Nikola Jovanovic, Thomas Kipf, Pietro Liò
2018	—	`conf`	Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. IPSN Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò
2017	J	`jnl`	Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data. CoRR Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville
2017	J	`jnl`	Graph Attention Networks. CoRR Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio
2017	J	`jnl`	Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders. CoRR Momchil Peychev, Petar Velickovic, Pietro Liò
2017	—	`conf`	Scaling health analytics to millions without compromising privacy using deep distributed behavior models. PervasiveHealth Petar Velickovic, Nicholas D. Lane, Sourav Bhattacharya, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville
2017	J	`jnl`	XFlow: 1D-2D Cross-modal Deep Neural Networks for Audiovisual Classification. CoRR Catalina Cangea, Petar Velickovic, Pietro Liò
2016	J	`jnl`	Molecular multiplex network inference using Gaussian mixture hidden Markov models. J. Complex Networks Petar Velickovic, Pietro Liò
2016	J	`jnl`	Muxstep: an open-source C ++ multiplex HMM library for making inferences on multiple data types. Bioinform. Petar Velickovic, Pietro Liò
2016	J	`jnl`	X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets. CoRR Petar Velickovic, Duo Wang, Nicholas D. Lane, Pietro Liò
2016	—	`conf`	X-CNN: Cross-modal convolutional neural networks for sparse datasets. SSCI Petar Velickovic, Duo Wang, Nicholas D. Lane, Pietro Liò