Mukul Agarwal

Publication Activity (10 Years)

Years Active: 1987-2019
Publications (10 Years): 12

Top Venues

CoRR

Commun. Inf. Syst.

ICINCO (2)

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Mukul Agarwal
Rate-distortion functions of non-stationary Markoff chains and their block-independent approximations. Commun. Inf. Syst. 19 (2) (2019)
Mukul Agarwal
Rate-distortion functions of non-stationary Markoff chains and their block-independent approximations. CoRR (2018)
Mukul Agarwal
Undecidability of approximating the capacity of time-invariant Markoff channel with feedback, and non-existence of linear finite-letter conditional mutual information characterizations for this channel assuming Schanuel's conjecture. CoRR (2018)
Mukul Agarwal
Source-channel separation for two-way interactive communication with fidelity criteria. CoRR (2018)
Mukul Agarwal, Sanjoy K. Mitter, Anant Sahai
Layered black-box, behavioral interconnection perspective and applications to problems in communications, Part II: stationary sources satisfying $\psi$-mixing criterion. Commun. Inf. Syst. 17 (4) (2017)
Mukul Agarwal, Sanjoy K. Mitter
Computing the capacity of a Markoff channel with perfect feedback is PSPACE-hard. CoRR (2017)
Mukul Agarwal, Sanjoy K. Mitter, Anant Sahai
Layered black-box, behavioral interconnection perspective and applications to problems in communications, Part I: i.i.d. sources. Commun. Inf. Syst. 17 (4) (2017)
Mukul Agarwal
PSPACE hardness of approximating the capacity of time-invariant Markov channels with perfect feedback. Commun. Inf. Syst. 17 (4) (2017)
Mukul Agarwal, Sanjoy K. Mitter, Anant Sahai
Layered black-box, behavioral interconnection perspective and applications to the problem of communication with fidelity criteria, Part II: stationary sources satisfying ψ-mixing criterion. CoRR (2017)
Mukul Agarwal, Sanjoy K. Mitter, Anant Sahai
Layered black-box, behavioral interconnection perspective and applications to the problem of communication with fidelity criteria, Part I: i.i.d. sources. CoRR (2017)
Mukul Agarwal, Sanjoy K. Mitter
A randomized covering-packing duality between source and channel coding. Commun. Inf. Syst. 16 (2) (2016)
Mukul Agarwal, Sanjoy K. Mitter
A randomized covering-packing duality between source-coding and channel-coding. CoRR (2015)
Mukul Agarwal, Sanjoy K. Mitter, Anant Sahai
A universal, operational theory of unicast multi-user communication with fidelity criteria CoRR (2013)
Jürg P. Keller, Mukul Agarwal
Performance Optimization in Intelligent Manufacturing - Decision Support System for Value Engineering in Flour Mills. ICINCO (2) (2013)
Mukul Agarwal, Sanjoy K. Mitter
Communication to within a fidelity criterion over unknown networks by reduction to reliable communication problems over unknown networks CoRR (2010)
Mukul Agarwal, Anant Sahai, Sanjoy K. Mitter
Equivalence perspectives in communication, source-channel connections and universal source-channel separation CoRR (2009)
Mukul Agarwal, Swastik Kopparty, Sanjoy K. Mitter
Universal capacity of channels with given rate-distortion in absence of common randomness, and failure of universal source-channel separation. Allerton (2009)
Mukul Agarwal, Vivek S. Borkar, Abhay Karandikar
Structural Properties of Optimal Transmission Policies Over a Randomly Varying Channel. IEEE Trans. Autom. Control. 53 (6) (2008)
Mukul Agarwal, Anant Sahai, Sanjoy K. Mitter
Coding into a source: a direct inverse Rate-Distortion theorem CoRR (2006)
Lloyd Cha, Chris Motta, Syed Babar, Mukul Agarwal, Jack Ma, Waseem Shaikh, Istvan Marko
The Evolution of the CMD Computing Environment: A Case Study in Rapid Growth. LISA (1998)
Lloyd Cha, Chris Motta, Syed Babar, Mukul Agarwal, Jack Ma, Waseem Shaikh, Istvan Marko
What to Do When the Lease Expires: A Moving Experience. LISA (1998)
Benedict Schenker, Mukul Agarwal
Predictive control of a bench-scale chemical reactor based on neural-network models. IEEE Trans. Control. Syst. Technol. 6 (3) (1998)
Mukul Agarwal
Combining neural and conventional paradigms for modelling, prediction and control. Int. J. Syst. Sci. 28 (1) (1997)
Benedict Schenker, Mukul Agarwal
Dynamic modelling using neural networks. Int. J. Syst. Sci. 28 (12) (1997)
Fritz Stäger, Mukul Agarwal
Three Methods to Speed up the Training of Feedforward and Feedback Perceptrons. Neural Networks 10 (8) (1997)
Mukul Agarwal, Dale E. Seborg
Self-tuning controllers for nonlinear systems. Autom. 23 (2) (1987)

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Publication Activity (10 Years)

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Mukul Agarwal