Devdatt Dubhashi

Professor på avdelningen för Data Science och AI, Institutionen för data- och informationsteknik.

dubhashi@chalmers.se +46317721046 Hitta till mig

Mina huvudintressen är inom design och analys av randomiserade algoritmer, maskininlärning för Big Data och beräkningsbiologi.

Publikationer
Samverkan och projekt

Senaste publikationer

2021
AI futures

Författare: Devdatt Dubhashi

Publiceringsår: 2021

Publicerat i: Communications of the ACM

Publikationstyp: Övrig text i vetenskaplig tidskrift
2020
Mathematical Models for COVID-19 Pandemic: A Comparative Analysis

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

Publiceringsår: 2020

Publicerat i: Journal of the Indian Institute of Science

Publikationstyp: Reviewartikel
A reinforcement-learning approach to efficient communication

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

Publiceringsår: 2020

Publicerat i: PLoS ONE

Publikationstyp: Artikel i vetenskaplig tidskrift
Accelerated proximal incremental algorithm schemes for non-strongly convex functions

Författare: Ashkan Panahi; Morteza Haghir Chehreghani; Devdatt Dubhashi

Publiceringsår: 2020

Publicerat i: Theoretical Computer Science

Publikationstyp: Artikel i vetenskaplig tidskrift
2019
A Non-Convex Optimization Approach to Correlation Clustering

Författare: Erik Thiel; Morteza Haghir Chehreghani; Devdatt Dubhashi

Publiceringsår: 2019

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

Publikationstyp: Paper i proceeding
Bayesian optimization in ab initio nuclear physics

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

Publiceringsår: 2019

Publicerat i: Journal of Physics G: Nuclear and Particle Physics

Publikationstyp: Artikel i vetenskaplig tidskrift
2018
DeepColor: Reinforcement Learning optimizes information efficiency and well-formedness in color name partitioning

Författare: Mikael Kågebäck; Devdatt Dubhashi; Asad Sayeed

Publiceringsår: 2018

Publicerat i: Proceedings of the 40th Annual Meeting of the Cognitive Science Society (CogSci)

Publikationstyp: Paper i proceeding
2017
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery

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

Publiceringsår: 2017

Publicerat i: Proceedings of the 34th International Conference on Machine Learning

Publikationstyp: Paper i proceeding
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery

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

Publiceringsår: 2017

Publicerat i: Proceedings of Machine Learning Research

Publikationstyp: Paper i proceeding
Thompson Sampling for Stochastic Bandits with Graph Feedback

Författare: Aristide Tossou; Christos Dimitrakakis; Devdatt Dubhashi

Publiceringsår: 2017

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

Publikationstyp: Paper i proceeding
AI Dangers: Imagined and Real

Författare: Devdatt Dubhashi; Shalom Lappin

Publiceringsår: 2017

Publicerat i: Communications of the ACM

Publikationstyp: Övrig text i vetenskaplig tidskrift
2015
Weighted theta functions and embeddings with applications to Max-Cut, clustering and summarization

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

Publiceringsår: 2015

Publicerat i: Advances in Neural Information Processing Systems

Publikationstyp: Paper i proceeding
Visions and open challenges for a knowledge-based culturomics

Författare: 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

Publiceringsår: 2015

Publicerat i: International Journal on Digital Libraries

Publikationstyp: Artikel i vetenskaplig tidskrift
Classifying large graphs with differential privacy

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

Publiceringsår: 2015

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

Publikationstyp: Paper i proceeding
Learning with similarity functions on graphs using matchings of geometric embeddings

Författare: Fredrik Johansson; Devdatt Dubhashi

Publiceringsår: 2015

Publicerat i: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Publikationstyp: Paper i proceeding
Extractive summarization by aggregating multiple similarities

Författare: Olof Mogren; Mikael Kågebäck; Devdatt Dubhashi

Publiceringsår: 2015

Publicerat i: International Conference Recent Advances in Natural Language Processing, RANLP

Publikationstyp: Paper i proceeding
Neural context embeddings for automatic discovery of word senses

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

Publiceringsår: 2015

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

Publikationstyp: Paper i proceeding
2014
Federated clouds for biomedical research: Integrating OpenStack for ICTBioMed

Författare: 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

Publiceringsår: 2014

Publicerat i: 2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014

Publikationstyp: Paper i proceeding
Global graph kernels using geometric embeddings

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

Publiceringsår: 2014

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

Publikationstyp: Paper i proceeding
Extractive Summarization using Continuous Vector Space Models

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

Publiceringsår: 2014

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

Publikationstyp: Paper i proceeding
2013
Computational approaches for reconstruction of time-varying biological networks from omics data

Författare: Vinay Jethava; Chiranjib Bhattacharyya; Devdatt Dubhashi

Publiceringsår: 2013

Publicerat i: Systems Biology: Integrative Biology and Simulation Tools

Publikationstyp: Kapitel i bok
DLOREAN: Dynamic Location-aware Reconstruction of multiway Networks

Författare: Fredrik Johansson; Vinay Jethava; Devdatt Dubhashi

Publiceringsår: 2013

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

Publikationstyp: Paper i proceeding
Mining semantics for culturomics: towards a knowledge-based approach

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

Publiceringsår: 2013

Publicerat i: 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

Publikationstyp: Paper i proceeding
Lovasz theta function, SVMs and Finding Dense Subgraphs

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

Publiceringsår: 2013

Publicerat i: Journal of Machine Learning Research

Publikationstyp: Artikel i vetenskaplig tidskrift
Lovasz θ, SVMs and applications

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

Publiceringsår: 2013

Publicerat i: 2013 IEEE Information Theory Workshop - ITW 2013, Seville, Spain, 9-13 September 2013

Publikationstyp: Paper i proceeding

Gå till Chalmers publikationsbibliotek

Sidansvarig Publicerad: on 03 jun 2020.

Devdatt Dubhashi

Senaste publikationer

2021

2020

2019

2018

2017

2015

2014

2013

Projekt

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