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2020 – today
- 2024
[i10]Dobrik Georgiev, Pietro Liò, Davide Buffelli
:
The Deep Equilibrium Algorithmic Reasoner. CoRR abs/2402.06445 (2024)- [i9]Zeno Kujawa, John Poole, Dobrik Georgiev, Danilo Numeroso, Pietro Liò:
Neural Algorithmic Reasoning with Multiple Correct Solutions. CoRR abs/2409.06953 (2024) - [i8]Dobrik Georgiev, JJ Wilson, Davide Buffelli, Pietro Liò:
Deep Equilibrium Algorithmic Reasoning. CoRR abs/2410.15059 (2024) - 2023
- [j2]Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Eric R. Gamazon, Pietro Liò:
Hypergraph factorization for multi-tissue gene expression imputation. Nat. Mac. Intell. 5(7): 739-753 (2023) - [c4]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 - [c3]Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Lio:
Neural Algorithmic Reasoning for Combinatorial Optimisation. LoG 2023: 28 - [c2]Valerie Engelmayer, Dobrik Georgiev, Petar Velickovic:
Parallel Algorithms Align With Neural Execution. LoG 2023: 31 - [d1]Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Pietro Liò, Eric R. Gamazon:
Hypergraph Factorisation Expression Quantitative Trait Loci. Zenodo, 2023
- [i7]Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Liò:
Neural Algorithmic Reasoning for Combinatorial Optimisation. CoRR abs/2306.06064 (2023) - [i6]Valerie Engelmayer, Dobrik Georgiev, Petar Velickovic:
Parallel Algorithms Align with Neural Execution. CoRR abs/2307.04049 (2023) - 2022
- [j1]Dobrik Georgiev, Marc Brockschmidt, Miltiadis Allamanis:
HEAT: Hyperedge Attention Networks. Trans. Mach. Learn. Res. 2022 (2022) - [c1]Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió:
Algorithmic Concept-Based Explainable Reasoning. AAAI 2022: 6685-6693 - [i5]Dobrik Georgiev, Marc Brockschmidt, Miltiadis Allamanis:
HEAT: Hyperedge Attention Networks. CoRR abs/2201.12113 (2022) - [i4]Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. CoRR abs/2208.10609 (2022) - 2021
- [i3]Pietro Barbiero, Gabriele Ciravegna, Dobrik Georgiev, Francesco Giannini:
LENs: a Python library for Logic Explained Networks. CoRR abs/2105.11697 (2021) - [i2]Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò:
Algorithmic Concept-based Explainable Reasoning. CoRR abs/2107.07493 (2021) - 2020
- [i1]Dobrik Georgiev, Pietro Lió:
Neural Bipartite Matching. CoRR abs/2005.11304 (2020)
Coauthor Index
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