Devdatt Dubhashi

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

Latest publications

2019
Accelerated proximal incremental algorithm schemes for non-strongly convex functions

Author: Ashkan Panahi; Morteza Haghir Chehreghani; Devdatt Dubhashi

Published: 2019

Published in: Theoretical Computer Science

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

Author: Erik Thiel; Morteza Haghir Chehreghani; Devdatt Dubhashi

Published: 2019

Published in:

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:

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:

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

Author: Aristide Tossou; Christos Dimitrakakis; Devdatt Dubhashi

Published: 2017

Published in:

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:

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:

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

Author: Olof Mogren; Mikael Kågebäck; Devdatt Dubhashi

Published: 2015

Published in:

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:

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:

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

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

Published: 2014

Published in:

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:

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:

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

Author: Fredrik Johansson; Vinay Jethava; Devdatt Dubhashi

Published: 2013

Published in:

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:

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:

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:

Publication type: Paper in proceedings
2012
The Lovász v function, SVMs and finding large dense subgraphs

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

Published: 2012

Published in:

Publication type: Paper in proceedings
2011
The IncP-1 plasmid backbone adapts to different host bacterial species and evolves through homologous recombination.

Author: Peter Norberg; Maria Bergström; Vinay Jethava; Devdatt Dubhashi; Malte Hermansson

Published: 2011

Published in: Nature Communications

Publication type: Journal article
NETGEM: Network Embedded Temporal GEnerative Model for gene expression data

Author: Vinay Jethava; C. Bhattacharyya; Devdatt Dubhashi; Goutham Vemuri

Published: 2011

Published in: BMC Bioinformatics

Publication type: Journal article

Go to Chalmers publication library

Published: Tue 15 Jan 2019.

Devdatt Dubhashi

Latest publications

2019

2018

2017

2015

2014

2013

2012

2011