Devdatt Dubhashi

Full Professor at the Data Science and AI division, Department of Computer Science and Engineering.

dubhashi@chalmers.se +46317721046 Find me

My main interests are in design and analysis of randomized algorithms, machine learning for Big Data and computational biology.

Publications
Collaboration and projects

Latest publications

2020
Mathematical Models for COVID-19 Pandemic: A Comparative Analysis

Author: Aniruddha Adiga; Devdatt Dubhashi; Bryan Lewis; Madhav Marathe; Srinivasan Venkatramanan; Anil Vullikanti

Published: 2020

Published in: Journal of the Indian Institute of Science

Publication type: Review article
A reinforcement-learning approach to efficient communication

Author: Mikael Kågebäck; Emil Carlsson; Devdatt Dubhashi; Asad Sayeed

Published: 2020

Published in: PLoS ONE

Publication type: Journal article
Accelerated proximal incremental algorithm schemes for non-strongly convex functions

Author: Ashkan Panahi; Morteza Haghir Chehreghani; Devdatt Dubhashi

Published: 2020

Published in: Theoretical Computer Science

Publication type: Journal article
2019
A Non-Convex Optimization Approach to Correlation Clustering

Author: Erik Thiel; Morteza Haghir Chehreghani; Devdatt Dubhashi

Published: 2019

Published in: THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Publication type: Paper in proceedings
Bayesian optimization in ab initio nuclear physics

Author: Andreas Ekström; Christian Forssen; Christos Dimitrakakis; Devdatt Dubhashi; Håkan T Johansson; Muhammad Azam Sheikh; Hans Salomonsson; Alexander Schliep

Published: 2019

Published in: Journal of Physics G: Nuclear and Particle Physics

Publication type: Journal article
2018
DeepColor: Reinforcement Learning optimizes information efficiency and well-formedness in color name partitioning

Author: Mikael Kågebäck; Devdatt Dubhashi; Asad Sayeed

Published: 2018

Published in: Proceedings of the 40th Annual Meeting of the Cognitive Science Society (CogSci)

Publication type: Paper in proceedings
2017
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery

Author: Ashkan Panahi; Devdatt Dubhashi; Fredrik Johansson; Chiranjib Bhattacharyya

Published: 2017

Published in: Proceedings of the 34th International Conference on Machine Learning

Publication type: Paper in proceedings
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery

Author: Ashkan Panahi; Devdatt Dubhashi; Fredrik Johansson; Chiranjib Bhattacharyya

Published: 2017

Published in: Proceedings of Machine Learning Research

Publication type: Paper in proceedings
Thompson Sampling for Stochastic Bandits with Graph Feedback

Author: Aristide Tossou; Christos Dimitrakakis; Devdatt Dubhashi

Published: 2017

Published in: 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, United States, 4-10 February 2017

Publication type: Paper in proceedings
AI Dangers: Imagined and Real

Author: Devdatt Dubhashi; Shalom Lappin

Published: 2017

Published in: Communications of the ACM

Publication type: Journal article
2015
Weighted theta functions and embeddings with applications to Max-Cut, clustering and summarization

Author: Fredrik Johansson; A. Chattoraj; C. Bhattacharyya; Devdatt Dubhashi

Published: 2015

Published in: 29th Annual Conference on Neural Information Processing Systems, NIPS 2015, Montreal, Canada, 7-12 December

Publication type: Conference contribution
Visions and open challenges for a knowledge-based culturomics

Author: 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

Published: 2015

Published in: International Journal on Digital Libraries

Publication type: Journal article
Classifying large graphs with differential privacy

Author: Fredrik Johansson; Otto Frost; Carl Thufvesson Retzner; Devdatt Dubhashi

Published: 2015

Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication type: Paper in proceedings
Learning with similarity functions on graphs using matchings of geometric embeddings

Author: Fredrik Johansson; Devdatt Dubhashi

Published: 2015

Published in: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Publication type: Paper in proceedings
Extractive summarization by aggregating multiple similarities

Author: Olof Mogren; Mikael Kågebäck; Devdatt Dubhashi

Published: 2015

Published in: International Conference Recent Advances in Natural Language Processing, RANLP

Publication type: Paper in proceedings
Neural context embeddings for automatic discovery of word senses

Author: Mikael Kågebäck; Fredrik Johansson; Richard Johansson; Devdatt Dubhashi

Published: 2015

Published in: Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing. Denver, United States

Publication type: Paper in proceedings
2014
Federated clouds for biomedical research: Integrating OpenStack for ICTBioMed

Author: 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

Published: 2014

Published in: 2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014

Publication type: Paper in proceedings
Global graph kernels using geometric embeddings

Author: Fredrik Johansson; Vinay Jethava; Devdatt Dubhashi; C. Bhattacharyya

Published: 2014

Published in: Proceedings of the 31st International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014

Publication type: Paper in proceedings
Extractive Summarization using Continuous Vector Space Models

Author: Mikael Kågebäck; Olof Mogren; Nina Tahmasebi; Devdatt Dubhashi

Published: 2014

Published in: Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC) EACL, April 26-30, 2014 Gothenburg, Sweden

Publication type: Paper in proceedings
2013
Computational approaches for reconstruction of time-varying biological networks from omics data

Author: Vinay Jethava; Chiranjib Bhattacharyya; Devdatt Dubhashi

Published: 2013

Published in: Systems Biology: Integrative Biology and Simulation Tools

Publication type: Book chapter
DLOREAN: Dynamic Location-aware Reconstruction of multiway Networks

Author: Fredrik Johansson; Vinay Jethava; Devdatt Dubhashi

Published: 2013

Published in: 2013 13th IEEE International Conference on Data Mining Workshops, ICDMW 2013; Dallas, TX; United States; 7 December 2013 through 10 December 2013

Publication type: Paper in proceedings
Mining semantics for culturomics: towards a knowledge-based approach

Author: Lars Borin; Devdatt Dubhashi; Markus Forsberg; Richard Johansson; Dimitrios Kokkinakis; Pierre Nugues

Published: 2013

Published in: 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

Publication type: Paper in proceedings
Entity disambiguation in anonymized graphs using graph kernels

Author: Linus Hermansson; Tommi Kerola; Fredrik Johansson; Vinay Jethava; Devdatt Dubhashi

Published: 2013

Published in: 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013; San Francisco, CA; United States; 27 October 2013 through 1 November 2013

Publication type: Paper in proceedings
Lovasz theta function, SVMs and Finding Dense Subgraphs

Author: Vinay Jethava; Anders Martinsson; C. Bhattacharyya; Devdatt Dubhashi

Published: 2013

Published in: Journal of Machine Learning Research

Publication type: Journal article
Lovasz θ, SVMs and applications

Author: Vinay Jethava; Jacob Sznajdman; C. Bhattacharyya; Devdatt Dubhashi

Published: 2013

Published in: 2013 IEEE Information Theory Workshop - ITW 2013, Seville, Spain, 9-13 September 2013

Publication type: Paper in proceedings

Go to Chalmers publication library

Page manager Published: Wed 03 Jun 2020.

Devdatt Dubhashi

Latest publications

2020

2019

2018

2017

2015

2014

2013

Projects

Closed