- Hem
- Om universitetet
- Hitta person
- Devdatt Dubhashi
Devdatt Dubhashi
Avd-/Sektionschef, bitr, inst
Data Science och AI (DSAI 3)-
PACE: Procedural Abstractions for Communicating
Efficiently
JONATHAN DAVID THOMAS, Andrea Silvi, Devdatt Dubhashi, Moa Johansson
Proceedings of the Annual Meeting of the Cognitive Science Society, 47(0) - 2025 -
Learning Efficient Recursive Numeral Systems via Reinforcement
Learning
Andrea Silvi, JONATHAN DAVID THOMAS, EMIL CARLSSON, Devdatt Dubhashi, Moa Johansson
Proceedings of the Annual Meeting of the Cognitive Science Society, 47(0) - 2025 -
Pure Exploration in Bandits with Linear
Constraints
Emil Carlsson, Debabrota Basu, Fredrik Johansson, Devdatt Dubhashi
International Conference on Artificial Intelligence and Statistics - 2024 -
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning
Algorithms
Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt Dubhashi, Alexandru Gheorghiu
Advances in Neural Information Processing Systems - 2024 -
Active preference learning for ordering items in- and
out-of-sample
Herman Bergström, Emil Carlsson, Devdatt Dubhashi, Fredrik Johansson
Advances in Neural Information Processing Systems - 2024 -
Using Satellite Images and Deep Learning to Measure Health and Living Standards in
India
Adel Daoud, Felipe Jordán, Makkunda Sharma, Fredrik Johansson, Devdatt Dubhashi, Sourabh Paul, Subhashis Banerjee
Social Indicators Research - 2023 -
Statistical modeling: the three
cultures
Adel Daoud, Devdatt Dubhashi
ArXiv - 2020 -
AI Dangers: Imagined and
Real
Devdatt Dubhashi, Shalom Lappin
Communications of the ACM - 2017 -
Visions and open challenges for a knowledge-based
culturomics
Nina Tahmasebi, Lars Borin, Gabriele Capannini, Devdatt Dubhashi, Peter Exner, Markus Forsberg, Gerhard Gossen, Fredrik Johansson, Richard Johansson, Mikael Kågebäck, Olof Mogren, Pierre Nugues, Thomas Risse
International Journal on Digital Libraries - 2015 -
Weighted theta functions and embeddings with applications to Max-Cut, clustering and
summarization
Fredrik Johansson, A. Chattoraj, C. Bhattacharyya, Devdatt Dubhashi
29th Annual Conference on Neural Information Processing Systems, NIPS 2015, Montreal, Canada, 7-12 December - 2015 -
Learning with similarity functions on graphs using matchings of geometric
embeddings
Fredrik Johansson, Devdatt Dubhashi
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - 2015 -
Classifying large graphs with differential
privacy
Fredrik Johansson, Otto Frost, Carl Thufvesson Retzner, Devdatt Dubhashi
Lecture Notes in Computer Science - 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015, Skövde, Sweden, 21-23 September 2015 - 2015 -
Extractive summarization by aggregating multiple
similarities
Olof Mogren, Mikael Kågebäck, Devdatt Dubhashi
International Conference Recent Advances in Natural Language Processing, RANLP - 2015 -
Neural context embeddings for automatic discovery of word
senses
Mikael Kågebäck, Fredrik Johansson, Richard Johansson, Devdatt Dubhashi
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing. Denver, United States - 2015 -
Federated clouds for biomedical research: Integrating OpenStack for
ICTBioMed
C. Mazurek, J. Pukacki, M. Kosiedowski, S. Trocha, M. Sullivan, H. Darbari, A. Saxena, R.R. Joshi, Devdatt Dubhashi, S. Thankaswamy, P.R. Brenner, S. Gesing, J. Nabrzyski, A. Srivastava
2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014 - 2014 -
Extractive Summarization using Continuous Vector Space
Models
Mikael Kågebäck, Olof Mogren, Nina Tahmasebi, Devdatt Dubhashi
Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC) EACL, April 26-30, 2014 Gothenburg, Sweden - 2014 -
Global graph kernels using geometric
embeddings
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi, C. Bhattacharyya
Proceedings of the 31st International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 - 2014 -
Lovasz θ, SVMs and
applications
Vinay Jethava, Jacob Sznajdman, C. Bhattacharyya, Devdatt Dubhashi
2013 IEEE Information Theory Workshop - ITW 2013, Seville, Spain, 9-13 September 2013 - 2013 -
Lovasz theta function, SVMs and Finding Dense
Subgraphs
Vinay Jethava, Anders Martinsson, C. Bhattacharyya, Devdatt Dubhashi
Journal of machine learning research - 2013 -
Entity disambiguation in anonymized graphs using graph
kernels
Linus Hermansson, Tommi Kerola, Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi
22nd ACM International Conference on Information and Knowledge Management, CIKM 2013; San Francisco, CA; United States; 27 October 2013 through 1 November 2013 - 2013 -
DLOREAN: Dynamic Location-aware Reconstruction of multiway
Networks
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi
2013 13th IEEE International Conference on Data Mining Workshops, ICDMW 2013; Dallas, TX; United States; 7 December 2013 through 10 December 2013 - 2013 -
Mining semantics for culturomics: towards a knowledge-based
approach
Lars Borin, Devdatt Dubhashi, Markus Forsberg, Richard Johansson, Dimitrios Kokkinakis, Pierre Nugues
2013 ACM International Workshop on Mining Unstructured Big Data Using Natural Language Processing, UnstructureNLP 2013, Held at 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013; San Francisco, CA; United States; 28 October 2013 through 28 October 2013 - 2013 -
The Lovász v function, SVMs and finding large dense
subgraphs
Vinay Jethava, Anders Martinsson, C. Bhattacharyya, Devdatt Dubhashi
26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012, Lake Tahoe, United States, 3-6 December 2012 - 2012 -
Scalable multi-dimensional user intent identification using tree structured
distributions
Vinay Jethava, L. Calderón-Benavides, R.A. Baeza-Yates, C. Bhattacharyya, Devdatt Dubhashi
SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval - 2011 -
The IncP-1 plasmid backbone adapts to different host bacterial species and evolves through homologous
recombination.
Peter Norberg, Maria Bergström, Vinay Jethava, Devdatt Dubhashi, Malte Hermansson
Nature communications - 2011 -
NETGEM: Network Embedded Temporal GEnerative Model for gene expression
data
Vinay Jethava, C. Bhattacharyya, Devdatt Dubhashi, Goutham N. Vemuri
BMC Bioinformatics - 2011 -
Bridging the gap between systems biology and
medicine
Gilles Clermont, Charles Auffray, Yves Moreau, David M Rocke, Daniel Dalevi, Devdatt Dubhashi, Dana R Marshall, Peter Raasch, Frank Dehne, Paolo Provero, Jesper Tegner, Bruce J Aronow, Michael A Langston, Mikael Benson
Genome Medicine - 2009 -
Adaptive Dynamics of Realistic Small-World
Networks
Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Devdatt Dubhashi
European Conference on Complex Systems 2009 - 2009 -
A note on conditioning and stochastic domination for order
statistics
Devdatt Dubhashi, Olle Häggström
Journal of Applied Probability - 2008 -
Probabilistic analysis for a multiple depot vehicle routing
problem
A. Baltz, Devdatt Dubhashi, A. Srivastav, Libertad Tansini, S. Werth
Random structures & algorithms - 2007 -
Blue pleiades, a new solution for device discovery and scatternet formation in multi-hop bluetooth
networks
Devdatt Dubhashi, Olle Häggström, Gabriele Mambrini, Alessandro Panconesi, Chiara Petrioli
Wireless Networks - 2007 -
Localized techniques for broadcasting in wireless sensor
networks.
Devdatt Dubhashi, Olle Häggström, Lorenzo Orrechia, Alessandro Panconesi, Chiara Petrioli
Algorithmica - 2007 -
positiv influence and negative
dependence
Devdatt Dubhashi, Johan Jonasson, Desh Ranjan
Combinatorics, Probability and Computing - 2007 -
A New Order Estimator for Fixed and Variable Length Markov Models with Applications to DNA Sequence
Similarity
Daniel Dalevi, Devdatt Dubhashi, Malte Hermansson
Statistical Applications in Genetics and Molecular Biology - 2006 -
Bayesian classifiers for detecting HGT using fixed and variable order Markov models of genomic
signatures
Daniel Dalevi, Devdatt Dubhashi, Malte Hermansson
Bioinformatics - 2006 -
Randomization in Constraint Programming for Airline
Planning
Devdatt Dubhashi, Lars Otten, Mattias Gronkvist
Principles and Practice of Constraint Programming - 2006 -
Distributed Approximation Algorithms via
Randomization
Devdatt Dubhashi, Fabrizio Grandoni, Alessandro Panconesi
Handbook of Approximation Algorithms and Metaheuristics - 2006 -
Irrigating ad hoc networks in constant
time
Devdatt Dubhashi, Christoffer Johansson, Olle Häggström, Alessandro Panconesi
Symposium on Parallel Algorithms and Architectures - 2005 -
Fast distributed algorithms for (weakly) connected dominating sets and linear-size
skeletons
Devdatt Dubhashi, Alessandro Panconesi, Jaikumar Radhakrishnan, Aravind Srinivasan
J. Comput. System Sci. - 2005 -
Probabilistic Analysis for a Multiple Depot Vehicle Routing
Problem.
Andreas Baltz, Devdatt Dubhashi, Libertad Tansini, Anand Srivastava, Soren Werthe
Foundations of Software Technology and Theoretical Computer Science. - 2005 -
The Peres-Shields Order Estimator for Fixed and Variable Length Markov Models with Applications to DNA Sequence
Similarity.
Devdatt Dubhashi, Daniel Dalevi
Workshop on Algorithms in Bioinformatics - 2005 -
Connectivity Properties of Bluetooth Wireless
Networks
Devdatt Dubhashi, Olle Häggström, Alessandro Panconesi
2003 -
Fast distributed algorithms for (weakly) connected dominating sets and linear-size
skeletons
Devdatt Dubhashi
Symposium on Discrete Algorithms - 2003 -
Analysis and Experimental Evaluation of a Simple Algorithm for Collaborative Filtering in Planted Partition
Models
Devdatt Dubhashi
Foundations of Software Technology and theoretical Computer Science - 2003