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Multiple-shooting adjoint method for whole-brain dynamic causal modeling

Feb 14, 2021
Juntang Zhuang, Nicha Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James Duncan

* 27th International Conference on Information Processing in Medical Imaging 

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MALI: A memory efficient and reverse accurate integrator for Neural ODEs

Feb 09, 2021
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan

* International Conference on Learning Representation, ICLR 2021 
* https://openreview.net/forum?id=blfSjHeFM_e 

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AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Oct 24, 2020
Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha Dvornek, Xenophon Papademetris, James S. Duncan

* NeurIPS 2020 

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Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE

Jun 03, 2020
Juntang Zhuang, Nicha Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James Duncan

* ICML2020 

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Zero-shot Transfer Learning for Semantic Parsing

Aug 27, 2018
Javid Dadashkarimi, Alexander Fabbri, Sekhar Tatikonda, Dragomir R. Radev


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Sequence to Logic with Copy and Cache

Jul 19, 2018
Javid Dadashkarimi, Sekhar Tatikonda


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A new approach to Laplacian solvers and flow problems

Nov 22, 2016
Patrick Rebeschini, Sekhar Tatikonda


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Scale-free network optimization: foundations and algorithms

Feb 12, 2016
Patrick Rebeschini, Sekhar Tatikonda

* arXiv admin note: substantial text overlap with arXiv:1509.06246 

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Lossy Compression via Sparse Linear Regression: Performance under Minimum-distance Encoding

Dec 18, 2015
Ramji Venkataramanan, Antony Joseph, Sekhar Tatikonda

* IEEE Transactions on Information Theory, vol. 60, no. 6, pp. 3254-3264, June 2014 
* This version corrects a typo in the statement of Theorem 2 of the published paper 

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Scatter Matrix Concordance: A Diagnostic for Regressions on Subsets of Data

Jul 12, 2015
Michael J. Kane, Bryan Lewis, Sekhar Tatikonda, Simon Urbanek


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Lossy Compression via Sparse Linear Regression: Computationally Efficient Encoding and Decoding

Mar 28, 2014
Ramji Venkataramanan, Tuhin Sarkar, Sekhar Tatikonda

* IEEE Transactions on Information Theory, vol. 60, no. 6, pp. 3265-3278, June 2014 
* 14 pages, to appear in IEEE Transactions on Information Theory 

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Loopy Belief Propogation and Gibbs Measures

Dec 12, 2012
Sekhar Tatikonda, Michael I. Jordan

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Message-Passing Algorithms for Quadratic Minimization

Dec 02, 2012
Nicholas Ruozzi, Sekhar Tatikonda

* Journal of Machine Learning Research. 14 (Aug) :2287-2314, 2013 

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Message-Passing Algorithms: Reparameterizations and Splittings

Dec 01, 2012
Nicholas Ruozzi, Sekhar Tatikonda

* Information Theory, IEEE Transactions on , vol.59, no.9, pp.5860,5881, Sept. 2013 
* A complete rework and expansion of the previous versions 

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