Petar Velickovic
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
7
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Round and Round We Go! What makes Rotary Positional Encodings useful? | Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Velickovic |
| 2025 | ICML | Positional Attention: Expressivity and Learnability of Algorithmic Computation. | Artur Back de Luca, George Giapitzakis, Shenghao Yang, Petar Velickovic, Kimon Fountoulakis |
| 2025 | ICML | Mastering Board Games by External and Internal Planning with Language Models. | John Schultz, Jakub Admek, 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 | ICML | Softmax is not Enough (for Sharp Size Generalisation). | Petar Velickovic, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu |
| 2025 | ICML | What Makes a Good Feedforward Computational Graph? | Alex Vitvitskyi, Joo Guilherme Madeira Arajo, Marc Lackenby, Petar Velickovic |
| 2024 | ICML | Position: Categorical Deep Learning is an Algebraic Theory of All Architectures. | Bruno Gavranovic, Paul Lessard, Andrew Joseph Dudzik, Tamara von Glehn, Joo Guilherme Madeira Arajo, Petar Velickovic |
| 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 |
| 2024 | IJCAI | Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. | 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 | ICLR | Dual Algorithmic Reasoning. | Danilo Numeroso, Davide Bacciu, Petar Velickovic |
| 2023 | ICML | Half-Hop: A graph upsampling approach for slowing down message passing. | Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Velickovic, Eva L. Dyer |
| 2023 | ICML | Neural Algorithmic Reasoning with Causal Regularisation. | Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic |
| 2022 | AAAI | Algorithmic Concept-Based Explainable Reasoning. | Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Li |
| 2022 | ICLR | Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond. | Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia |
| 2022 | ICLR | Large-Scale Representation Learning on Graphs via Bootstrapping. | Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L. Dyer, Rmi Munos, Petar Velickovic, Michal Valko |
| 2022 | ICML | The CLRS Algorithmic Reasoning Benchmark. | Petar Velickovic, Adri Puigdomnech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell |
| 2021 | CIKM | ETA Prediction with Graph Neural Networks in Google Maps. | 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 | ICLR | On the role of planning in model-based deep reinforcement learning. | 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 | IJCAI | Combinatorial Optimization and Reasoning with Graph Neural Networks. | Quentin Cappart, Didier Chtelat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic |
| 2020 | ICLR | Neural Execution of Graph Algorithms. | Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell |
| 2019 | ICLR | Deep Graph Infomax. | Petar Velickovic, William Fedus, William L. Hamilton, Pietro Li, Yoshua Bengio, R. Devon Hjelm |
| 2018 | ESANN | Multi-omics data integration using cross-modal neural networks. | Ioana Bica, Petar Velickovic, Hui Xiao |
| 2018 | ICLR | Graph Attention Networks. | Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li, Yoshua Bengio |
| 2018 | ISNN | Automatic Inference of Cross-Modal Connection Topologies for X-CNNs. | Laurynas Karazija, Petar Velickovic, Pietro Li |