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ORCIDManoj Gopalkrishnan
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2020 – today
- 2023
[i14]William Poole, Thomas E. Ouldridge, Manoj Gopalkrishnan:
Autonomous Learning of Generative Models with Chemical Reaction Network Ensembles. CoRR abs/2311.00975 (2023)- 2022
- [i13]William Poole, Thomas E. Ouldridge, Manoj Gopalkrishnan, Erik Winfree:
Detailed Balanced Chemical Reaction Networks as Generalized Boltzmann Machines. CoRR abs/2205.06313 (2022) - 2021
- [c9]Aswin Paul
, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi:
Active Inference for Stochastic Control. PKDD/ECML Workshops (1) 2021: 669-680 - [i12]Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi:
Active Inference for Stochastic Control. CoRR abs/2108.12245 (2021)
2010 – 2019
- 2019
- [c8]Abhinav Singh, Carsten Wiuf, Abhishek Behera, Manoj Gopalkrishnan:
A Reaction Network Scheme Which Implements Inference and Learning for Hidden Markov Models. DNA 2019: 54-79 - [i11]Abhinav Singh, Carsten Wiuf, Abhishek Behera, Manoj Gopalkrishnan:
A reaction network scheme which implements inference and learning for Hidden Markov Models. CoRR abs/1906.09410 (2019) - 2018
- [c7]Muppirala Viswa Virinchi, Abhishek Behera, Manoj Gopalkrishnan:
A Reaction Network Scheme Which Implements the EM Algorithm. DNA 2018: 189-207 - [i10]Muppirala Viswa Virinchi, Abhishek Behera, Manoj Gopalkrishnan:
A reaction network scheme which implements the EM algorithm. CoRR abs/1804.09062 (2018) - 2017
- [c6]Muppirala Viswa Virinchi, Abhishek Behera, Manoj Gopalkrishnan:
A Stochastic Molecular Scheme for an Artificial Cell to Infer Its Environment from Partial Observations. DNA 2017: 82-97 - [c5]William Poole, Andrés Ortiz-Muñoz, Abhishek Behera, Nick S. Jones, Thomas E. Ouldridge, Erik Winfree, Manoj Gopalkrishnan:
Chemical Boltzmann Machines. DNA 2017: 210-231 - [i9]Muppirala Viswa Virinchi, Abhishek Behera, Manoj Gopalkrishnan:
A stochastic molecular scheme for an artificial cell to infer its environment from partial observations. CoRR abs/1704.01733 (2017) - 2016
- [j2]Manoj Gopalkrishnan:
A Cost/Speed/Reliability Tradeoff to Erasing. Entropy 18(5): 165 (2016) - [c4]Manoj Gopalkrishnan:
A Scheme for Molecular Computation of Maximum Likelihood Estimators for Log-Linear Models. DNA 2016: 3-18 - [c3]Manoj Gopalkrishnan, Abhishek Deshpande, Varshith Kandula, Praveen Sriram:
A Bayesian view of single-qubit clocks, and an energy versus accuracy tradeoff. ISIT 2016: 2239-2243 - [i8]Manoj Gopalkrishnan, Varshith Kandula, Praveen Sriram, Abhishek Deshpande, Bhaskaran Muralidharan:
A Bayesian view of Single-Qubit Clocks, and an Energy versus Accuracy tradeoff. CoRR abs/1602.00508 (2016) - 2015
- [c2]Manoj Gopalkrishnan:
A Cost/Speed/Reliability Tradeoff to Erasing. UCNC 2015: 192-201 - [i7]Manoj Gopalkrishnan:
A Scheme for Molecular Computation of Maximum Likelihood Estimators for Log-Linear Models. CoRR abs/1506.03172 (2015) - 2014
- [j1]Manoj Gopalkrishnan, Ezra Miller, Anne Shiu:
A Geometric Approach to the Global Attractor Conjecture. SIAM J. Appl. Dyn. Syst. 13(2): 758-797 (2014) - [i6]Manoj Gopalkrishnan, Girish Varma:
Playing games in an uncertain world. CoRR abs/1402.4570 (2014) - [i5]Manoj Gopalkrishnan:
A Cost/ Speed/ Reliability Trade-off in Erasing a Bit. CoRR abs/1410.1710 (2014) - 2013
- [i4]Manoj Gopalkrishnan:
A coercion-resistant protocol for conducting elections by telephone. CoRR abs/1305.5359 (2013) - [i3]Abhishek Deshpande, Manoj Gopalkrishnan:
Autocatalysis in Reaction Networks. CoRR abs/1309.3957 (2013) - [i2]Manoj Gopalkrishnan:
The Hot Bit I: The Szilard-Landauer Correspondence. CoRR abs/1311.3533 (2013) - 2012
- [i1]Manoj Gopalkrishnan, Ezra Miller, Anne Shiu:
A projection argument for differential inclusions, with applications to persistence of mass-action kinetics. CoRR abs/1208.0874 (2012)
2000 – 2009
- 2006
- [c1]Yuriy Brun, Manoj Gopalkrishnan:
Toward In Vivo Disease Diagnosis and Treatment Using DNA. BIOCOMP 2006: 182-186
Coauthor Index
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