Sekhar Tatikonda

ORCID

Publication Activity (10 Years)

Years Active: 2001-2022
Publications (10 Years): 24

Top Venues

CoRR

IEEE Trans. Inf. Theory

J. Mach. Learn. Res.

ISIT

Publications

Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR (2022)
Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR (2022)
Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. NeurIPS (2021)
Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. CoRR (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. IPMI (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
Multiple-shooting adjoint method for whole-brain dynamic causal modeling. CoRR (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. ICLR (2021)
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. CoRR (2021)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. CoRR (2020)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. ICML (2020)
Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. CoRR (2020)
Photios A. Stavrou, Takashi Tanaka, Sekhar Tatikonda
The Time-Invariant Multidimensional Gaussian Sequential Rate-Distortion Problem Revisited. IEEE Trans. Autom. Control. 65 (5) (2020)
De Wen Soh, Sekhar Tatikonda
Learning Unfaithful $K$-separable Gaussian Graphical Models. J. Mach. Learn. Res. 20 (2019)
Patrick Rebeschini, Sekhar Tatikonda
Locality in Network Optimization. IEEE Trans. Control. Netw. Syst. 6 (2) (2019)
Patrick Rebeschini, Sekhar Tatikonda
A New Approach to Laplacian Solvers and Flow Problems. J. Mach. Learn. Res. 20 (2019)
Ramji Venkataramanan, Sekhar Tatikonda, Andrew R. Barron
Sparse Regression Codes. CoRR (2019)
Ramji Venkataramanan, Sekhar Tatikonda, Andrew R. Barron
Sparse Regression Codes. Found. Trends Commun. Inf. Theory 15 (1-2) (2019)
Javid Dadashkarimi, Sekhar Tatikonda
Sequence to Logic with Copy and Cache. CoRR (2018)
Javid Dadashkarimi, Alexander R. Fabbri, Sekhar Tatikonda, Dragomir R. Radev
Zero-shot Transfer Learning for Semantic Parsing. CoRR (2018)
Photios A. Stavrou, Takashi Tanaka, Sekhar Tatikonda
The Time-Invariant Multidimensional Gaussian Sequential Rate-Distortion Problem Revisited. CoRR (2017)
Ramji Venkataramanan, Sekhar Tatikonda
The Rate-Distortion Function and Excess-Distortion Exponent of Sparse Regression Codes With Optimal Encoding. IEEE Trans. Inf. Theory 63 (8) (2017)
Patrick Rebeschini, Sekhar Tatikonda
A new approach to Laplacian solvers and flow problems. CoRR (2016)
Patrick Rebeschini, Sekhar Tatikonda
Decay of correlation in network flow problems. CISS (2016)
Michael J. Kane, Bryan Lewis, Sekhar Tatikonda, Simon Urbanek
Scatter matrix concordance as a diagnostic for regressions on subsets of data. Stat. Anal. Data Min. 9 (4) (2016)
Aditya Mahajan, Sekhar Tatikonda
An algorithmic approach to identify irrelevant information in sequential teams. Autom. 61 (2015)
Jialing Liu, Nicola Elia, Sekhar Tatikonda
Capacity-Achieving Feedback Schemes for Gaussian Finite-State Markov Channels With Channel State Information. IEEE Trans. Inf. Theory 61 (7) (2015)
Ramji Venkataramanan, Tuhin Sarkar, Sekhar Tatikonda
Lossy Compression via Sparse Linear Regression: Computationally Efficient Encoding and Decoding. IEEE Trans. Inf. Theory 60 (6) (2014)
Ramji Venkataramanan, Antony Joseph, Sekhar Tatikonda
Lossy Compression via Sparse Linear Regression: Performance Under Minimum-Distance Encoding. IEEE Trans. Inf. Theory 60 (6) (2014)
Ramji Venkataramanan, Sekhar Tatikonda
The Gaussian Rate-Distortion Function of Sparse Regression Codes with Optimal Encoding. CoRR (2014)
Ramji Venkataramanan, Sekhar Tatikonda, Luis Lastras-Monta, Michele Franceschini
Rewritable Storage Channels with Hidden State. IEEE J. Sel. Areas Commun. 32 (5) (2014)
Ramji Venkataramanan, Sekhar Tatikonda
The Gaussian rate-distortion function of sparse regression codes with optimal encoding. ISIT (2014)
Sekhar Tatikonda, Michael I. Jordan
Loopy Belief Propogation and Gibbs Measures CoRR (2013)
Ramji Venkataramanan, Sekhar Tatikonda
Improved capacity lower bounds for channels with deletions and insertions. ITW (2013)
Ramji Venkataramanan, Sekhar Tatikonda, Kannan Ramchandran
Achievable Rates for Channels With Deletions and Insertions. IEEE Trans. Inf. Theory 59 (11) (2013)
Nicholas Ruozzi, Sekhar Tatikonda
Message-passing algorithms for quadratic minimization. J. Mach. Learn. Res. 14 (1) (2013)
Ramji Venkataramanan, Sekhar Tatikonda
Sparse Regression codes: Recent results and future directions. ITW (2013)
Ramji Venkataramanan, Tuhin Sarkar, Sekhar Tatikonda
Lossy compression via sparse linear regression: Computationally efficient encoding and decoding. ISIT (2013)
Nicholas Ruozzi, Sekhar Tatikonda
Message-Passing Algorithms: Reparameterizations and Splittings. IEEE Trans. Inf. Theory 59 (9) (2013)
Ji Liu, Navid Hassanpour, Sekhar Tatikonda, A. Stephen Morse
Dynamic threshold models of collective action in social networks. CDC (2012)
Ramji Venkataramanan, Sekhar Tatikonda
Sparse regression codes for multi-terminal source and channel coding. Allerton Conference (2012)
Ramji Venkataramanan, Antony Joseph, Sekhar Tatikonda
Gaussian Rate-Distortion via Sparse Regression over Compact Dictionaries CoRR (2012)
Ramji Venkataramanan, Antony Joseph, Sekhar Tatikonda
Gaussian rate-distortion via sparse linear regression over compact dictionaries. ISIT (2012)
Nicholas Ruozzi, Sekhar Tatikonda
Message-Passing Algorithms for Quadratic Minimization CoRR (2012)
Ramji Venkataramanan, Sekhar Tatikonda, Luis Alfonso Lastras-Montaño, Michele Franceschini
Coding strategies for the uniform noise rewritable channel with hidden state. ISIT (2012)
Aditya Mahajan, Sekhar Tatikonda
Opportunistic Capacity and Error Exponent Region for the Compound Channel With Feedback. IEEE Trans. Inf. Theory 58 (7) (2012)
Ramji Venkataramanan, Sekhar Tatikonda
Sparse Regression Codes for Multi-terminal Source and Channel Coding CoRR (2012)
Ramji Venkataramanan, Tuhin Sarkar, Sekhar Tatikonda
Lossy Compression via Sparse Linear Regression: Computationally Efficient Encoding and Decoding CoRR (2012)
Ramji Venkataramanan, Sekhar Tatikonda, Luis A. Lastras, Michele Franceschini
Coding strategies for the uniform noise rewritable channel with hidden state CoRR (2012)
John Hartigan, David Pollard, Sekhar Tatikonda
Conditioned Poisson distributions and the concentration of chromatic numbers CoRR (2011)
Ramji Venkataramanan, Sekhar Tatikonda, Kannan Ramchandran
Achievable rates for channels with deletions and insertions. ISIT (2011)
Ramji Venkataramanan, Sekhar Tatikonda, Kannan Ramchandran
Achievable Rates for Channels with Deletions and Insertions CoRR (2011)
Jian Ni, Sekhar Tatikonda
Network Tomography Based on Additive Metrics. IEEE Trans. Inf. Theory 57 (12) (2011)
Steven Jaslar, Sekhar Tatikonda
Maximum Weight Partial Colorings on Sparse Random Graphs. SIAM J. Discret. Math. 25 (2) (2011)
Nicholas Ruozzi, Sekhar Tatikonda
Convergent and Correct Message Passing Schemes for Optimization Problems over Graphical Models. UAI (2010)
Aditya Mahajan, Sekhar Tatikonda
Opportunistic capacity and error exponent regions for variable length communication over compound channel with feedback. CISS (2010)
Nicholas Ruozzi, Sekhar Tatikonda
Unconstrained minimization of quadratic functions via min-sum. CISS (2010)
Tung Le, Sekhar Tatikonda, Christoforos N. Hadjicostis
Performance analysis of sum-product algorithms for multiple fault diagnosis applications. CDC (2010)
Jian Ni, Haiyong Xie, Sekhar Tatikonda, Yang Richard Yang
Efficient and dynamic routing topology inference from end-to-end measurements. IEEE/ACM Trans. Netw. 18 (1) (2010)
Nicholas Ruozzi, Sekhar Tatikonda
Convergent and Correct Message Passing Schemes for Optimization Problems over Graphical Models CoRR (2010)
Aditya Mahajan, Sekhar Tatikonda
Opportunistic capacity and error exponent regions for compound channel with feedback. ISIT (2010)
Sekhar Tatikonda, Sanjoy K. Mitter
The Capacity of Channels With Feedback. IEEE Trans. Inf. Theory 55 (1) (2009)
Giacomo Como, Serdar Yüksel, Sekhar Tatikonda
The error exponent of variable-length codes over Markov channels with feedback. IEEE Trans. Inf. Theory 55 (5) (2009)
Sekhar Tatikonda
Clustering phenomena in message-passing schemes. ITW (2009)
Nicholas Ruozzi, Justin Thaler, Sekhar Tatikonda
Graph covers and quadratic minimization. Allerton (2009)
Aditya Mahajan, Sekhar Tatikonda
A training based scheme for communicating over unknown channels with feedback. Allerton (2009)
Aditya Mahajan, Sekhar Tatikonda
A training-based scheme for communicating over unknown channels with feedback CoRR (2009)
Serdar Yüksel, Sekhar Tatikonda
A Counterexample in Distributed Optimal Sensing and Control. IEEE Trans. Autom. Control. 54 (4) (2009)
Aditya Mahajan, Sekhar Tatikonda
A Graphical modeling approach to simplifying sequential teams. WiOpt (2009)
Aditya Mahajan, Sekhar Tatikonda
Sequential team form and its simplification using graphical models. Allerton (2009)
Steven Jaslar, Sekhar Tatikonda
Convergence of optimal values past critical threshold. Allerton (2008)
Jian Ni, Sekhar Tatikonda
Network tomography based on additive metrics. CISS (2008)
Jian Ni, Haiyong Xie, Sekhar Tatikonda, Yang Richard Yang
Network Routing Topology Inference from End-to-End Measurements. INFOCOM (2008)
Jialing Liu, Nicola Elia, Sekhar Tatikonda
Capacity-achieving Feedback Scheme for Gaussian Finite-State Markov Channels with Channel State Information CoRR (2008)
Sekhar Tatikonda
Cooperative control under communication constraints. ITW (2008)
Sekhar Tatikonda
The structure of encoders for channels with feedback. ISIT (2008)
Nicholas Ruozzi, Sekhar Tatikonda
s-t paths using the min-sum algorithm. Allerton (2008)
Jian Ni, Sekhar Tatikonda
Network Tomography Based on Additive Metrics CoRR (2008)
Giacomo Como, Serdar Yüksel, Sekhar Tatikonda
On the Burnashev exponent for Markov channels. ISIT (2007)
Serdar Yüksel, Sekhar Tatikonda
Capacity of Markov Channels with Partial State Feedback. ISIT (2007)
Jian Ni, Sekhar Tatikonda
Performance Evaluation of Loss Networks via Factor Graphs and the Sum-Product Algorithm. INFOCOM (2007)
Giacomo Como, Serdar Yüksel, Sekhar Tatikonda
On the error exponent of variable-length block-coding schemes over finite-state Markov channels with feedback CoRR (2007)
Jian Ni, Danny H. K. Tsang, Sekhar Tatikonda, Brahim Bensaou
Optimal and Structured Call Admission Control Policies for Resource-Sharing Systems. IEEE Trans. Commun. 55 (1) (2007)
Jian Ni, Sekhar Tatikonda
Analyzing Product-Form Stochastic Networks Via Factor Graphs and the Sum-Product Algorithm. IEEE Trans. Commun. 55 (8) (2007)
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
On the Feedback Capacity of Power Constrained Gaussian Noise Channels with Memory CoRR (2007)
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
On the Feedback Capacity of Power-Constrained Gaussian Noise Channels With Memory. IEEE Trans. Inf. Theory 53 (3) (2007)
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
Feedback Capacity of Stationary Sources over Gaussian Intersymbol Interference Channels. GLOBECOM (2006)
Sekhar Tatikonda, Sanjoy K. Mitter
The Capacity of Channels with Feedback CoRR (2006)
Jian Ni, Sekhar Tatikonda
A Markov Random Field Approach to Multicast-Based Network Inference Problems. ISIT (2006)
Stephan Winkler, Sekhar Tatikonda, David Pollard
Analysis of Max-Product via Local Maxifiers. ISIT (2006)
Jian Ni, Sekhar Tatikonda, Edmund M. Yeh
A Large-Scale Distributed Traffic Matrix Estimation Algorithm. GLOBECOM (2006)
Jian Ni, Sekhar Tatikonda
Calculating blocking probabilities for loss networks based on probabilistic graphical models. ISIT (2005)
Sekhar Tatikonda
A Markov Decision Approach to Feedback Channel Capacity. CDC/ECC (2005)
Vivek S. Borkar, Sanjoy K. Mitter, Anant Sahai, Sekhar Tatikonda
Sequential Source Coding: An optimization viewpoint. CDC/ECC (2005)
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
Feedback capacity of finite-state machine channels. IEEE Trans. Inf. Theory 51 (3) (2005)
Jian Ni, Sekhar Tatikonda
Revenue optimization via call admission control and pricing for mobile cellular systems. ICC (2005)
Jian Ni, Danny H. K. Tsang, Sekhar Tatikonda, Brahim Bensaou
Threshold and reservation based call admission control policies for multiservice resource-sharing systems. INFOCOM (2005)
Sekhar Tatikonda, Sanjoy K. Mitter
Authors' reply [to comments on "control over noisy channels" by S. Tatikonda and S. Mitter]. IEEE Trans. Autom. Control. 50 (12) (2005)
Sekhar Tatikonda, Sanjoy K. Mitter
Control over noisy channels. IEEE Trans. Autom. Control. 49 (7) (2004)
Sekhar Tatikonda, Anant Sahai, Sanjoy K. Mitter
Stochastic linear control over a communication channel. IEEE Trans. Autom. Control. 49 (9) (2004)
Jialing Liu, Nicola Elia, Sekhar Tatikonda
Capacity-achieving feedback scheme for flat fading channels with channel state information. ACC (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sekhar Tatikonda