Articles with public access mandates - Vikas GargLearn more
Available somewhere: 11
Generalization and representational limits of graph neural networks
V Garg, S Jegelka, T Jaakkola
International Conference on Machine Learning, 3419-3430, 2020
Mandates: US National Science Foundation, US Department of Defense
Provably expressive temporal graph networks
A Souza, D Mesquita, S Kaski, V Garg
Advances in neural information processing systems 35, 32257-32269, 2022
Mandates: Academy of Finland, European Commission, UK Research & Innovation
Learn to expect the unexpected: Probably approximately correct domain generalization
V Garg, AT Kalai, K Ligett, S Wu
International Conference on Artificial Intelligence and Statistics, 3574-3582, 2021
Mandates: US National Science Foundation, US Department of Defense
Compositional sculpting of iterative generative processes
T Garipov, S De Peuter, G Yang, V Garg, S Kaski, T Jaakkola
Advances in neural information processing systems 36, 12665-12702, 2023
Mandates: US National Science Foundation, US Department of Defense, Academy of Finland …
AbODE: Ab initio antibody design using conjoined ODEs
Y Verma, M Heinonen, V Garg
International Conference on Machine Learning, 35037-35050, 2023
Mandates: Academy of Finland
Modular flows: Differential molecular generation
Y Verma, S Kaski, M Heinonen, V Garg
Advances in neural information processing systems 35, 12409-12421, 2022
Mandates: Academy of Finland
Going beyond persistent homology using persistent homology
J Immonen, A Souza, V Garg
Advances in Neural Information Processing Systems 36, 2024
Mandates: Academy of Finland
Symmetry-induced disentanglement on graphs
G Mercatali, A Freitas, V Garg
Advances in neural information processing systems 35, 31497-31511, 2022
Mandates: UK Engineering and Physical Sciences Research Council
On the generalization of equivariant graph neural networks
R Karczewski, AH Souza, V Garg
Proceedings of Machine Learning Research 235, 23159-23186, 2024
Mandates: Academy of Finland
Analyzing GFlowNets: Stability, Expressiveness, and Assessment
T Silva, ES da Silva, RB Alves, LM Carvalho, AH Souza, S Kaski, V Garg, ...
ICML 2024 Workshop on Structured Probabilistic Inference {\&} Generative …, 2024
Mandates: European Commission, UK Research & Innovation
Predicting deliberative outcomes
V Garg, T Jaakkola
International Conference on Machine Learning, 3408-3418, 2020
Mandates: US Department of Defense
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