Turing's Children (with A. Panconesi and G. Schneider), Oxford University Press (to appear 2019), a popular account of modern CS and the work of Turing Prize winners.
V. Jethava and D. Dubhashi, "GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference", CoRR abs/1711.11139 (2017)
D. Dubhashi and S. Lappin, "AI dangers: imagined and real", Commun. ACM 60(2): 43-45 (2017)
A. Tossou, C. Dimitrakakis and D. Dubhashi, "Thompson Sampling for Stochastic Bandits with Graph Feedback.", AAAI 2017: 2660-2666
A. Panahi, F. Johansson, C. Bhattacharyya and D. Dubhashi, "Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery", ICML 2017: 2769-2777
N. Tahmasebi, D. Dubhashi et al, et al, "Visions and open challenges for a knowledge-based culturomics", Int. J. on Digital Libraries 15(2-4): 169-187 (2015)
F. Johansson, D. Dubhashi et al, "Classifying Large Graphs with Differential Privacy", MDAI 2015: 3-17
M. Kageback, D. Dubhashi et al, "Neural context embeddings for automatic discovery of word senses", VS@HLT-NAACL 2015: 25-32
F. Johansson, D. Dubhashi et al, "Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization", NIPS 2015: 1018-1026
O. Mogre, M. Kageback and D. Dubhashi, "Extractive Summarization by Aggregating Multiple Similarities", RANLP 2015: 451-457
C. Mazurek, D. Dubhashi et al, "Federated clouds for biomedical research: Integrating OpenStack for ICTBioMed", CLOUDNET 2014: 294-299
F. Johansson, D. Dubhashi et al, "Global graph kernels using geometric embeddings", ICML 2014: 694-702