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ORCIDKrishnamurthy Dvijotham
Krishnamurthy (Dj) Dvijotham
Person information
- affiliation: Google DeepMind, London, UK
- affiliation: University of Washington, Dept. of Computer Science and Engineering, Seattle, WA, USA
- affiliation: California Institute of Technology, Department of Computing and Mathematical Sciences, Pasadena, CA, USA
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2020 – today
- 2024
[j15]Krishnamurthy Dvijotham, Bala Krishnamoorthy
, Yunqi Luo, Benjamin Rapone:
Robust feasibility of systems of quadratic equations using topological degree theory. Optim. Lett. 18(2): 591-613 (2024)- [i55]Jan Freyberg, Abhijit Guha Roy, Terry Spitz, Beverly Freeman, Mike Schaekermann, Patricia Strachan, Eva Schnider, Renee Wong, Dale R. Webster, Alan Karthikesalingam, Yun Liu, Krishnamurthy Dvijotham, Umesh Telang:
MINT: A wrapper to make multi-modal and multi-image AI models interactive. CoRR abs/2401.12032 (2024) - [i54]Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester:
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. CoRR abs/2402.01344 (2024) - [i53]Gavin Brown, Krishnamurthy Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Thakurta:
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation. CoRR abs/2402.13531 (2024) - [i52]Senjuti Dutta, Sherol Chen, Sunny Mak, Amnah Ahmad, Katherine Maeve Collins, Alena Butryna, Deepak Ramachandran, Krishnamurthy Dvijotham, Ellie Pavlick, Ravi Rajakumar:
Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction. CoRR abs/2403.05576 (2024) - [i51]Nicholas Carlini, Daniel Paleka, Krishnamurthy (Dj) Dvijotham, Thomas Steinke, Jonathan Hayase, A. Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Eric Wallace, David Rolnick, Florian Tramèr:
Stealing Part of a Production Language Model. CoRR abs/2403.06634 (2024) - 2023
- [c51]Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham:
Interactive Concept Bottleneck Models. AAAI 2023: 5948-5955 - [c50]Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham:
Human Uncertainty in Concept-Based AI Systems. AIES 2023: 869-889 - [c49]Nicholas Carlini, Florian Tramèr, Krishnamurthy (Dj) Dvijotham, Leslie Rice, Mingjie Sun, J. Zico Kolter:
(Certified!!) Adversarial Robustness for Free! ICLR 2023 - [c48]Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Balaji Lakshminarayanan, Deepak Ramachandran:
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play. ICLR 2023 - [c47]Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang:
Provably Bounding Neural Network Preimages. NeurIPS 2023 - [c46]Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot:
Training Private Models That Know What They Don't Know. NeurIPS 2023 - [c45]Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik:
Learning to Receive Help: Intervention-Aware Concept Embedding Models. NeurIPS 2023 - [i50]Suhas Kotha, Christopher Brix, Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang:
Provably Bounding Neural Network Preimages. CoRR abs/2302.01404 (2023) - [i49]Jeremiah Zhe Liu, Krishnamurthy (Dj) Dvijotham, Jihyeon Lee, Quan Yuan, Martin Strobel, Balaji Lakshminarayanan, Deepak Ramachandran:
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play. CoRR abs/2302.05807 (2023) - [i48]Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham:
Human Uncertainty in Concept-Based AI Systems. CoRR abs/2303.12872 (2023) - [i47]Zi Wang, Somesh Jha, Krishnamurthy Dvijotham:
Efficient Symbolic Reasoning for Neural-Network Verification. CoRR abs/2303.13588 (2023) - [i46]Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, Philip H. S. Torr, M. Pawan Kumar:
Provably Correct Physics-Informed Neural Networks. CoRR abs/2305.10157 (2023) - [i45]Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio:
Expressive Losses for Verified Robustness via Convex Combinations. CoRR abs/2305.13991 (2023) - [i44]Stephan Rabanser, Anvith Thudi, Abhradeep Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot:
Training Private Models That Know What They Don't Know. CoRR abs/2305.18393 (2023) - [i43]Tom A. Lamb, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, M. Pawan Kumar, Philip H. S. Torr, Francisco Eiras:
Faithful Knowledge Distillation. CoRR abs/2306.04431 (2023) - [i42]Matthew Barker, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Umang Bhatt:
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time. CoRR abs/2306.08424 (2023) - [i41]Mateo Espinosa Zarlenga, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik:
Learning to Receive Help: Intervention-Aware Concept Embedding Models. CoRR abs/2309.16928 (2023) - [i40]Christopher A. Choquette-Choo, Krishnamurthy Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta:
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning. CoRR abs/2310.06771 (2023) - 2022
- [j14]Krishnamurthy Dvijotham, Yuval Rabani, Leonard J. Schulman:
Convergence of incentive-driven dynamics in Fisher markets. Games Econ. Behav. 134: 361-375 (2022) - [j13]Yu Weng, Suhyoun Yu, Krishnamurthy Dvijotham, Hung D. Nguyen:
Fixed-Point Theorem-Based Voltage Stability Margin Estimation Techniques for Distribution Systems With Renewables. IEEE Trans. Ind. Informatics 18(6): 3766-3776 (2022) - [c44]Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham:
Role of Human-AI Interaction in Selective Prediction. AAAI 2022: 5286-5294 - [c43]David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet:
Learning Optimal Conformal Classifiers. ICLR 2022 - [c42]Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, Ali Taylan Cemgil:
A Fine-Grained Analysis on Distribution Shift. ICLR 2022 - [i39]Nicholas Carlini, Florian Tramèr, Krishnamurthy Dvijotham, J. Zico Kolter:
(Certified!!) Adversarial Robustness for Free! CoRR abs/2206.10550 (2022) - [i38]Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth:
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound. CoRR abs/2206.14772 (2022) - [i37]Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham:
Interactive Concept Bottleneck Models. CoRR abs/2212.07430 (2022) - 2021
- [j12]Haoxiang Yang, David P. Morton, Chaithanya Bandi, Krishnamurthy Dvijotham:
Robust Optimization for Electricity Generation. INFORMS J. Comput. 33(1): 336-351 (2021) - [c41]Harkirat Singh Behl, M. Pawan Kumar, Philip H. S. Torr, Krishnamurthy Dvijotham:
Overcoming the Convex Barrier for Simplex Inputs. NeurIPS 2021: 4871-4882 - [c40]Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar:
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications. NeurIPS 2021: 11136-11147 - [i36]Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar:
Verifying Probabilistic Specifications with Functional Lagrangians. CoRR abs/2102.09479 (2021) - [i35]Alessandro De Palma, Rudy Bunel, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition. CoRR abs/2104.06718 (2021) - [i34]David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet:
Learning Optimal Conformal Classifiers. CoRR abs/2110.09192 (2021) - [i33]Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, A. Taylan Cemgil:
A Fine-Grained Analysis on Distribution Shift. CoRR abs/2110.11328 (2021) - [i32]Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham:
Role of Human-AI Interaction in Selective Prediction. CoRR abs/2112.06751 (2021) - 2020
- [j11]Navid Azizan, Yu Su, Krishnamurthy Dvijotham, Adam Wierman:
Optimal Pricing in Markets with Nonconvex Costs. Oper. Res. 68(2): 480-496 (2020) - [c39]Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli:
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR 2020: 1208-1217 - [c38]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy (Dj) Dvijotham, Pushmeet Kohli:
Adversarially Robust Representations with Smooth Encoders. ICLR 2020 - [c37]Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli:
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR 2020 - [c36]Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli:
Towards Verified Robustness under Text Deletion Interventions. ICLR 2020 - [c35]Tsui-Wei Weng, Krishnamurthy (Dj) Dvijotham, Jonathan Uesato, Kai Xiao, Sven Gowal, Robert Stanforth, Pushmeet Kohli:
Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control. ICLR 2020 - [c34]Anton Zhernov, Krishnamurthy (Dj) Dvijotham, Ivan Lobov, Dan A. Calian, Michelle X. Gong, Natarajan Chandrashekar, Timothy A. Mann:
The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver. KDD 2020: 1285-1294 - [c33]Rudy Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy Dvijotham:
An efficient nonconvex reformulation of stagewise convex optimization problems. NeurIPS 2020 - [c32]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli:
The Autoencoding Variational Autoencoder. NeurIPS 2020 - [c31]Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli:
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. NeurIPS 2020 - [c30]Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Lagrangian Decomposition for Neural Network Verification. UAI 2020: 370-379 - [i31]Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Lagrangian Decomposition for Neural Network Verification. CoRR abs/2002.10410 (2020) - [i30]Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli:
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. CoRR abs/2010.11645 (2020) - [i29]Rudy Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy Dvijotham:
An efficient nonconvex reformulation of stagewise convex optimization problems. CoRR abs/2010.14322 (2020) - [i28]Jamie Hayes, Krishnamurthy Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande:
Towards transformation-resilient provenance detection of digital media. CoRR abs/2011.07355 (2020) - [i27]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli:
Autoencoding Variational Autoencoder. CoRR abs/2012.03715 (2020)
2010 – 2019
- 2019
- [j10]Dongchan Lee, Hung D. Nguyen, Krishnamurthy Dvijotham, Konstantin S. Turitsyn:
Convex Restriction of Power Flow Feasibility Sets. IEEE Trans. Control. Netw. Syst. 6(3): 1235-1245 (2019) - [j9]Hung D. Nguyen, Krishnamurthy Dvijotham, Suhyoun Yu, Konstantin S. Turitsyn:
A Framework for Robust Long-Term Voltage Stability of Distribution Systems. IEEE Trans. Smart Grid 10(5): 4827-4837 (2019) - [c29]Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli:
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. CVPR 2019: 12260-12269 - [c28]Navid Azizan Ruhi, Yu Su, Krishnamurthy Dvijotham, Adam Wierman:
Optimal Pricing in Markets with Non-Convex Costs. EC 2019: 595 - [c27]Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli:
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) 2019: 4081-4091 - [c26]Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Arthur Mann, Pushmeet Kohli:
Scalable Verified Training for Provably Robust Image Classification. ICCV 2019: 4841-4850 - [c25]Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Verification of Non-Linear Specifications for Neural Networks. ICLR (Poster) 2019 - [c24]Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli:
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. ICLR (Poster) 2019 - [c23]Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Verify and Train Deep Networks. IJCAI 2019: 6156-6160 - [c22]Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli:
Adversarial Robustness through Local Linearization. NeurIPS 2019: 13824-13833 - [c21]Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli:
Efficient Neural Network Verification with Exactness Characterization. UAI 2019: 497-507 - [i26]Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Verification of Non-Linear Specifications for Neural Networks. CoRR abs/1902.09592 (2019) - [i25]Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli:
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications. CoRR abs/1904.12004 (2019) - [i24]Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli:
Adversarial Robustness through Local Linearization. CoRR abs/1907.02610 (2019) - [i23]Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli:
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR abs/1909.01492 (2019) - [i22]Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli:
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR abs/1912.03192 (2019) - 2018
- [j8]Krishnamurthy Dvijotham, Hung D. Nguyen, Konstantin S. Turitsyn:
Solvability Regions of Affinely Parameterized Quadratic Equations. IEEE Control. Syst. Lett. 2(1): 25-30 (2018) - [j7]Navid Azizan Ruhi, Krishnamurthy Dvijotham, Niangjun Chen, Adam Wierman:
Opportunities for Price Manipulation by Aggregators in Electricity Markets. IEEE Trans. Smart Grid 9(6): 5687-5698 (2018) - [c20]Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Scalable Verification of Deep Networks. UAI 2018: 550-559 - [i21]Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerík, Todd Hester, Cosmin Paduraru, Yuval Tassa:
Safe Exploration in Continuous Action Spaces. CoRR abs/1801.08757 (2018) - [i20]Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Scalable Verification of Deep Networks. CoRR abs/1803.06567 (2018) - [i19]Krishnamurthy Dvijotham, Sven Gowal, Robert Stanforth, Relja Arandjelovic, Brendan O'Donoghue, Jonathan Uesato, Pushmeet Kohli:
Training verified learners with learned verifiers. CoRR abs/1805.10265 (2018) - [i18]Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy A. Mann, Pushmeet Kohli:
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models. CoRR abs/1810.12715 (2018) - [i17]Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli:
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. CoRR abs/1812.01647 (2018) - [i16]Krishnamurthy Dvijotham, Marta Garnelo, Alhussein Fawzi, Pushmeet Kohli:
Verification of deep probabilistic models. CoRR abs/1812.02795 (2018) - 2017
- [j6]Krishnamurthy Dvijotham, Michael Chertkov, Pascal Van Hentenryck, Marc Vuffray, Sidhant Misra:
Graphical models for optimal power flow. Constraints An Int. J. 22(1): 24-49 (2017) - [j5]Krishnamurthy Dvijotham, Enrique Mallada, John W. Simpson-Porco:
High-Voltage Solution in Radial Power Networks: Existence, Properties, and Equivalent Algorithms. IEEE Control. Syst. Lett. 1(2): 322-327 (2017) - [j4]Yujie Tang, Krishnamurthy Dvijotham, Steven H. Low:
Real-Time Optimal Power Flow. IEEE Trans. Smart Grid 8(6): 2963-2973 (2017) - [c19]Yujie Tang, Krishnamurthy Dvijotham, Steven H. Low:
Real-time OPF based on quasi-Newton methods. CISS 2017: 1 - [c18]Krishnamurthy Dvijotham, Yuval Rabani, Leonard J. Schulman:
Convergence of Incentive-Driven Dynamics in Fisher Markets. SODA 2017: 554-567 - [i15]Krishnamurthy Dvijotham, Hung D. Nguyen, Konstantin S. Turitsyn:
Solvability regions of affinely parameterized quadratic equations. CoRR abs/1703.08881 (2017) - 2016
- [j3]Navid Azizan Ruhi, Niangjun Chen, Krishnamurthy Dvijotham, Adam Wierman:
Opportunities for Price Manipulation by Aggregators in Electricity Markets. SIGMETRICS Perform. Evaluation Rev. 44(2): 49-51 (2016) - [c17]Krishnamurthy Dvijotham, Michael Chertkov, Steven H. Low:
Monotone operator approach to power flow solutions. ACC 2016: 1769 - [c16]Krishnamurthy Dvijotham, Daniel K. Molzahn:
Error bounds on the DC power flow approximation: A convex relaxation approach. CDC 2016: 2411-2418 - [i14]Krishnamurthy Dvijotham, Yuval Rabani, Leonard J. Schulman:
Market Dynamics of Best-Response with Lookahead. CoRR abs/1605.09012 (2016) - [i13]Navid Azizan Ruhi, Krishnamurthy Dvijotham, Niangjun Chen, Adam Wierman:
Opportunities for Price Manipulation by Aggregators in Electricity Markets. CoRR abs/1606.06510 (2016) - [i12]Krishnamurthy Dvijotham, Pascal Van Hentenryck, Michael Chertkov, Sidhant Misra, Marc Vuffray:
Graphical Models for Optimal Power Flow. CoRR abs/1606.06512 (2016) - 2015
- [j2]Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel:
Convex Structured Controller Design in Finite Horizon. IEEE Trans. Control. Netw. Syst. 2(1): 1-10 (2015) - [c15]Krishnamurthy Dvijotham:
Systems of quadratic equations: Efficient solution algorithms and conditions for solvability. Allerton 2015: 1027-1031 - [c14]Krishnamurthy Dvijotham, Michael Chertkov:
Convexity of structure preserving energy functions in power transmission: Novel results and applications. ACC 2015: 5035-5042 - [c13]Krishnamurthy Dvijotham, Michael Chertkov, Steven H. Low:
A differential analysis of the power flow equations. CDC 2015: 23-30 - [i11]Krishnamurthy Dvijotham, Marc Vuffray, Sidhant Misra, Michael Chertkov:
Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach. CoRR abs/1506.06075 (2015) - [i10]Krishnamurthy Dvijotham, Konstantin S. Turitsyn:
Construction of power flow feasibility sets. CoRR abs/1506.07191 (2015) - [i9]Krishnamurthy Dvijotham, Steven H. Low, Michael Chertkov:
Solving the Power Flow Equations: A Monotone Operator Approach. CoRR abs/1506.08472 (2015) - [i8]Krishnamurthy Dvijotham, Michael Chertkov, Steven H. Low:
Solving the Power Flow Equations: A Monotone Operator Theory Approach. CoRR abs/1506.08814 (2015) - 2014
- [b1]Krishnamurthy Dvijotham:
Automating Stochastic Optimal Control. University of Washington, USA, 2014 - [c12]Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov:
Convex risk averse control design. CDC 2014: 4020-4025 - [c11]Krishnamurthy Dvijotham, Misha Chertkov, Scott Backhaus:
Storage Sizing and Placement through Operational and Uncertainty-Aware Simulations. HICSS 2014: 2408-2416 - [c10]Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov:
Universal Convexification via Risk-Aversion. UAI 2014: 162-171 - [i7]Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov:
Universal Convexification via Risk-Aversion. CoRR abs/1406.0554 (2014) - [i6]Scott Backhaus, Russell Bent, Daniel Bienstock, Michael Chertkov, Krishnamurthy Dvijotham:
Efficient Synchronization Stability Metrics for Fault Clearing. CoRR abs/1409.4451 (2014) - 2013
- [c9]Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel:
Convex control design via covariance minimization. Allerton 2013: 93-99 - [c8]Krishnamurthy Dvijotham, Evangelos A. Theodorou, Emanuel Todorov, Maryam Fazel:
Convexity of optimal linear controller design. CDC 2013: 2477-2482 - [c7]Evangelos A. Theodorou, Krishnamurthy Dvijotham, Emo Todorov:
Time varying nonlinear Policy Gradients. CDC 2013: 7765-7770 - [i5]Krishnamurthy Dvijotham, Scott Backhaus, Misha Chertkov:
Storage Sizing and Placement through Operational and Uncertainty-Aware Simulations. CoRR abs/1307.4143 (2013) - [i4]Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel:
Convex Structured Controller Design. CoRR abs/1309.7731 (2013) - 2012
- [c6]Krishnamurthy Dvijotham, Emo Todorov:
Linearly solvable Markov games. ACC 2012: 1845-1850 - [c5]Krishnamurthy Dvijotham, Scott Backhaus, Michael Chertkov:
Distributed control of generation in a transmission grid with a high penetration of renewables. SmartGridComm 2012: 635-640 - [i3]Krishnamurthy Dvijotham, Emanuel Todorov:
A Unifying Framework for Linearly Solvable Control. CoRR abs/1202.3715 (2012) - [i2]Krishnamurthy Dvijotham, Michael Chertkov, Scott Backhaus:
Distributed Control of Generation in a Transmission Grid with a High Penetration of Renewables. CoRR abs/1211.4555 (2012) - 2011
- [c4]Krishnamurthy Dvijotham, Emanuel Todorov:
A Unifying Framework for Linearly Solvable Control. UAI 2011: 179-186 - [i1]Krishnamurthy Dvijotham, Scott Backhaus, Misha Chertkov:
Operations-Based Planning for Placement and Sizing of Energy Storage in a Grid With a High Penetration of Renewables. CoRR abs/1107.1382 (2011) - 2010
- [c3]Krishnamurthy Dvijotham, Maryam Fazel:
A nullspace analysis of the nuclear norm heuristic for rank minimization. ICASSP 2010: 3586-3589 - [c2]Krishnamurthy Dvijotham, Emanuel Todorov:
Inverse Optimal Control with Linearly-Solvable MDPs. ICML 2010: 335-342
2000 – 2009
- 2008
- [j1]Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri:
New closed-form bounds on the partition function. Mach. Learn. 72(3): 205-229 (2008) - [c1]Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri:
New Closed-Form Bounds on the Partition Function. ECML/PKDD (1) 2008: 8
Coauthor Index
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