Singh, Ambuj K

11 publications

AAAI 2024 DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya

NeurIPS 2024 Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Ambuj K. Singh, Francesco Bullo

NeurIPS 2023 Fragment-Based Pretraining and Finetuning on Molecular Graphs Kha-Dinh Luong, Ambuj K Singh

IJCAI 2023 Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh

NeurIPS 2022 Mind Reader: Reconstructing Complex Images from Brain Activities Sikun Lin, Thomas Sprague, Ambuj K Singh

AAAI 2021 Group Testing on a Network Arlei Silva, Ambuj K. Singh

AAAI 2021 Learning Interpretable Models for Coupled Networks Under Domain Constraints Hongyuan You, Sikun Lin, Ambuj K. Singh

IJCAI 2020 A Game Theoretic Approach for Core Resilience Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh

ECML-PKDD 2014 Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu

ECML-PKDD 2013 As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, Ambuj K. Singh

ECML-PKDD 2012 Reachability Analysis and Modeling of Dynamic Event Networks Kathy Macropol, Ambuj K. Singh