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We stand with Ukraine

Vikas K. Garg

Affiliations:

MIT
Toyota Technological Institute at Chicago
IBM Research - India

According to our database¹, Vikas K. Garg authored at least 39 papers between 2009 and 2023.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on mit.edu
on dl.acm.org

On csauthors.net:

Bibliography

2023

Compositional Sculpting of Iterative Generative Processes.

[BibT_eX]

[DOI]

,

Sebastiaan De Peuter

,

,

,

,

Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Why GANs are overkill for NLP.

[BibT_eX]

[DOI]

David Alvarez-Melis

,

,

Adam Tauman Kalai

CoRR, 2022

Modular Flows: Differential Molecular Generation.

[BibT_eX]

[DOI]

,

,

Markus Heinonen

,

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provably expressive temporal graph networks.

[BibT_eX]

[DOI]

Amauri H. Souza

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Are GANs overkill for NLP?

[BibT_eX]

[DOI]

David Alvarez-Melis

,

,

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization.

[BibT_eX]

[DOI]

,

Adam Tauman Kalai

,

,

Zhiwei Steven Wu

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Generalization and Representational Limits of Graph Neural Networks.

[BibT_eX]

[DOI]

,

Stefanie Jegelka

,

Tommi S. Jaakkola

Proceedings of the 37th International Conference on Machine Learning, 2020

Predicting deliberative outcomes.

[BibT_eX]

[DOI]

,

Tommi S. Jaakkola

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure.

[BibT_eX]

[DOI]

,

Inderjit S. Dhillon

,

CoRR, 2019

Strategic Prediction with Latent Aggregative Games.

[BibT_eX]

[DOI]

,

Tommi S. Jaakkola

CoRR, 2019

Generative Models for Graph-Based Protein Design.

[BibT_eX]

[DOI]

,

,

Regina Barzilay

,

Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms.

[BibT_eX]

[DOI]

,

Tamar Pichkhadze

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Solving graph compression via optimal transport.

[BibT_eX]

[DOI]

,

Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Peek Search: Near-Optimal Online Markov Decoding.

[BibT_eX]

[DOI]

,

Tamar Pichkhadze

CoRR, 2018

Sparse Multi-Prototype Classification.

[BibT_eX]

[DOI]

,

,

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning SMaLL Predictors.

[BibT_eX]

[DOI]

,

,

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Supervising Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Supervising Unsupervised Learning.

[BibT_eX]

[DOI]

,

CoRR, 2017

Local Aggregative Games.

[BibT_eX]

[DOI]

,

Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Meta-Unsupervised-Learning: A supervised approach to unsupervised learning.

[BibT_eX]

[DOI]

,

Adam Tauman Kalai

CoRR, 2016

Learning Tree Structured Potential Games.

[BibT_eX]

[DOI]

,

Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

CRAFT: ClusteR-specific Assorted Feature selecTion.

[BibT_eX]

[DOI]

,

,

Tommi S. Jaakkola

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

DEEP-CARVING: Discovering visual attributes by carving deep neural nets.

[BibT_eX]

[DOI]

,

,

Roberto Cipolla

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Multiresolution Matrix Factorization.

[BibT_eX]

[DOI]

,

Nedelina Teneva

,

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory.

[BibT_eX]

[DOI]

,

,

M. Narasimha Murty

IEEE Trans. Knowl. Data Eng., 2013

Adaptivity to Local Smoothness and Dimension in Kernel Regression.

[BibT_eX]

[DOI]

,

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Link Label Prediction in Signed Social Networks.

[BibT_eX]

[DOI]

Priyanka Agrawal

,

,

Ramasuri Narayanam

Proceedings of the IJCAI 2013, 2013

Multi-regularization for Fuzzy Co-clustering.

[BibT_eX]

[DOI]

,

Sneha Chaudhari

,

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Online Optimization with Dynamic Temporal Uncertainty: Incorporating Short Term Predictions for Renewable Integration in Intelligent Energy Systems.

[BibT_eX]

[DOI]

,

,

Balakrishnan Narayanaswamy

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Prediction based storage management in the smart grid.

[BibT_eX]

[DOI]

Balakrishnan Narayanaswamy

,

,

Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Online optimization for the smart (micro) grid.

[BibT_eX]

[DOI]

Balakrishnan Narayanaswamy

,

,

Proceedings of the 3rd International Conference on Energy-Efficient Computing and Networking, 2012

2011

High throughput data redundancy removal algorithm with scalable performance.

[BibT_eX]

[DOI]

Souvik Bhattacherjee

,

,

Proceedings of the High Performance Embedded Architectures and Compilers, 2011

2010

EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics.

[BibT_eX]

[DOI]

,

Nukala Viswanadham

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification.

[BibT_eX]

[DOI]

,

M. Narasimha Murty

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Toward Optimal Disk Layout of Genome Scale Suffix Trees.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Highly scalable parallel collaborative filtering algorithm.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the 2010 International Conference on High Performance Computing, 2010

Real-time memory efficient data redundancy removal algorithm.

[BibT_eX]

[DOI]

,

,

Souvik Bhattacherjee

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition.

[BibT_eX]

[DOI]

,

M. Narasimha Murty

Int. J. Data Min. Model. Manag., 2009

RACK: RApid clustering using K-means algorithm.

[BibT_eX]

[DOI]

,

M. Narasimha Murty

Proceedings of the IEEE Conference on Automation Science and Engineering, 2009

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