Krishnamurthy Dvijotham

116 papers A* 20A 4C 4Misc 2Journal 74Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Correlated Noise Mechanisms for Differentially Private Learning. CoRR Krishna Pillutla, Jalaj Upadhyay, Christopher A. Choquette-Choo, Krishnamurthy Dvijotham, Arun Ganesh, Monika Henzinger, Jonathan Katz, Ryan McKenna, H. Brendan McMahan, Keith Rush, Thomas Steinke, Abhradeep Thakurta
2025	J	`jnl`	DoomArena: A framework for Testing AI Agents Against Evolving Security Threats. CoRR Léo Boisvert, Mihir Bansal, Chandra Kiran Reddy Evuru, Gabriel Huang, Abhay Puri, Avinandan Bose, Maryam Fazel, Quentin Cappart, Jason Stanley, Alexandre Lacoste, Alexandre Drouin, Krishnamurthy Dvijotham
2025	J	`jnl`	Human at the Center: A Framework for Human-Driven AI Development. AI Mag. Danniell Hu, Diana Acosta-Navas, Susanne Gaube, Hussein Mozannar, Matthew E. Taylor, Krishnamurthy Dvijotham, Elizabeth Bondi-Kelly
2025	J	`jnl`	Large Language Models Can Verbatim Reproduce Long Malicious Sequences. CoRR Sharon Lin, Krishnamurthy Dvijotham, Jamie Hayes, Chongyang Shi, Ilia Shumailov, Shuang Song
2025	J	`jnl`	Norm-Bounded Low-Rank Adaptation. CoRR Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester
2024	J	`jnl`	Achieving the Tightest Relaxation of Sigmoids for Formal Verification. CoRR Samuel Chevalier, Duncan Starkenburg, Krishnamurthy Dvijotham
2024	J	`jnl`	Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. CoRR Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee
2024	J	`jnl`	Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy. CoRR Krishnamurthy Dvijotham, H. Brendan McMahan, Krishna Pillutla, Thomas Steinke, Abhradeep Thakurta
2024	J	`jnl`	MINT: A wrapper to make multi-modal and multi-image AI models interactive. CoRR 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
2024	J	`jnl`	Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. CoRR Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester
2024	J	`jnl`	Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation. CoRR Gavin Brown, Krishnamurthy Dvijotham, Georgina Evans, Daogao Liu, Adam Smith, Abhradeep Thakurta
2024	J	`jnl`	Robust feasibility of systems of quadratic equations using topological degree theory. Optim. Lett. Krishnamurthy Dvijotham, Bala Krishnamoorthy, Yunqi Luo, Benjamin Rapone
2024	J	`jnl`	Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction. CoRR Senjuti Dutta, Sherol Chen, Sunny Mak, Amnah Ahmad, Katherine Maeve Collins, Alena Butryna, Deepak Ramachandran, Krishnamurthy Dvijotham, Ellie Pavlick, Ravi Rajakumar
2024	J	`jnl`	Verified Neural Compressed Sensing. CoRR Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Alessandro De Palma, Robert Stanforth
2023	J	`jnl`	Correlated Noise Provably Beats Independent Noise for Differentially Private Learning. CoRR Christopher A. Choquette-Choo, Krishnamurthy Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta
2023	J	`jnl`	Efficient Symbolic Reasoning for Neural-Network Verification. CoRR Zi Wang, Somesh Jha, Krishnamurthy Dvijotham
2023	J	`jnl`	Expressive Losses for Verified Robustness via Convex Combinations. CoRR Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio
2023	C	`conf`	Human Uncertainty in Concept-Based AI Systems. AIES Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
2023	J	`jnl`	Human Uncertainty in Concept-Based AI Systems. CoRR Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
2023	A*	`conf`	Interactive Concept Bottleneck Models. AAAI Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham
2023	A*	`conf`	Learning to Receive Help: Intervention-Aware Concept Embedding Models. NeurIPS Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik
2023	J	`jnl`	Learning to Receive Help: Intervention-Aware Concept Embedding Models. CoRR Mateo Espinosa Zarlenga, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik
2023	A*	`conf`	Provably Bounding Neural Network Preimages. NeurIPS Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
2023	J	`jnl`	Provably Bounding Neural Network Preimages. CoRR Suhas Kotha, Christopher Brix, Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
2023	J	`jnl`	Selective Concept Models: Permitting Stakeholder Customisation at Test-Time. CoRR Matthew Barker, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Umang Bhatt
2023	A*	`conf`	Training Private Models That Know What They Don't Know. NeurIPS Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot
2023	J	`jnl`	Training Private Models That Know What They Don't Know. CoRR Stephan Rabanser, Anvith Thudi, Abhradeep Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot
2022	J	`jnl`	(Certified!!) Adversarial Robustness for Free! CoRR Nicholas Carlini, Florian Tramèr, Krishnamurthy Dvijotham, J. Zico Kolter
2022	A*	`conf`	A Fine-Grained Analysis on Distribution Shift. ICLR Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, Ali Taylan Cemgil
2022	J	`jnl`	Convergence of incentive-driven dynamics in Fisher markets. Games Econ. Behav. Krishnamurthy Dvijotham, Yuval Rabani, Leonard J. Schulman
2022	J	`jnl`	Fixed-Point Theorem-Based Voltage Stability Margin Estimation Techniques for Distribution Systems With Renewables. IEEE Trans. Ind. Informatics Yu Weng, Suhyoun Yu, Krishnamurthy Dvijotham, Hung D. Nguyen
2022	J	`jnl`	IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound. CoRR Alessandro De Palma, Rudy Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth
2022	J	`jnl`	Interactive Concept Bottleneck Models. CoRR Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham
2022	A*	`conf`	Learning Optimal Conformal Classifiers. ICLR David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet
2022	A*	`conf`	Role of Human-AI Interaction in Selective Prediction. AAAI Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2021	J	`jnl`	A Fine-Grained Analysis on Distribution Shift. CoRR Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, A. Taylan Cemgil
2021	J	`jnl`	Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition. CoRR Alessandro De Palma, Rudy Bunel, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
2021	J	`jnl`	Learning Optimal Conformal Classifiers. CoRR David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet
2021	A*	`conf`	Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications. NeurIPS Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
2021	A*	`conf`	Overcoming the Convex Barrier for Simplex Inputs. NeurIPS Harkirat Singh Behl, M. Pawan Kumar, Philip H. S. Torr, Krishnamurthy Dvijotham
2021	J	`jnl`	Robust Optimization for Electricity Generation. INFORMS J. Comput. Haoxiang Yang, David P. Morton, Chaithanya Bandi, Krishnamurthy Dvijotham
2021	J	`jnl`	Role of Human-AI Interaction in Selective Prediction. CoRR Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2021	J	`jnl`	Verifying Probabilistic Specifications with Functional Lagrangians. CoRR Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
2020	A*	`conf`	Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2020	A*	`conf`	An efficient nonconvex reformulation of stagewise convex optimization problems. NeurIPS Rudy Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy Dvijotham
2020	J	`jnl`	An efficient nonconvex reformulation of stagewise convex optimization problems. CoRR Rudy Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy Dvijotham
2020	J	`jnl`	Autoencoding Variational Autoencoder. CoRR A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
2020	A*	`conf`	Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. NeurIPS Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
2020	J	`jnl`	Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. CoRR Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli
2020	A	`conf`	Lagrangian Decomposition for Neural Network Verification. UAI Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
2020	J	`jnl`	Lagrangian Decomposition for Neural Network Verification. CoRR Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar
2020	J	`jnl`	Optimal Pricing in Markets with Nonconvex Costs. Oper. Res. Navid Azizan, Yu Su, Krishnamurthy Dvijotham, Adam Wierman
2020	A*	`conf`	The Autoencoding Variational Autoencoder. NeurIPS A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
2020	J	`jnl`	Towards transformation-resilient provenance detection of digital media. CoRR Jamie Hayes, Krishnamurthy Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande
2019	A*	`conf`	A Dual Approach to Verify and Train Deep Networks. IJCAI Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli
2019	J	`jnl`	A Framework for Robust Long-Term Voltage Stability of Distribution Systems. IEEE Trans. Smart Grid Hung D. Nguyen, Krishnamurthy Dvijotham, Suhyoun Yu, Konstantin S. Turitsyn
2019	J	`jnl`	Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2019	—	`conf`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	J	`jnl`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	A*	`conf`	Adversarial Robustness through Local Linearization. NeurIPS Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Adversarial Robustness through Local Linearization. CoRR Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Convex Restriction of Power Flow Feasibility Sets. IEEE Trans. Control. Netw. Syst. Dongchan Lee, Hung D. Nguyen, Krishnamurthy Dvijotham, Konstantin S. Turitsyn
2019	A*	`conf`	Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. CVPR Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
2019	J	`jnl`	Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications. CoRR Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli
2019	A*	`conf`	Optimal Pricing in Markets with Non-Convex Costs. EC Navid Azizan Ruhi, Yu Su, Krishnamurthy Dvijotham, Adam Wierman
2019	A*	`conf`	Scalable Verified Training for Provably Robust Image Classification. ICCV Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Arthur Mann, Pushmeet Kohli
2018	A	`conf`	A Dual Approach to Scalable Verification of Deep Networks. UAI Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli
2018	J	`jnl`	A Dual Approach to Scalable Verification of Deep Networks. CoRR Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli
2018	J	`jnl`	On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models. CoRR Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy A. Mann, Pushmeet Kohli
2018	J	`jnl`	Opportunities for Price Manipulation by Aggregators in Electricity Markets. IEEE Trans. Smart Grid Navid Azizan Ruhi, Krishnamurthy Dvijotham, Niangjun Chen, Adam Wierman
2018	J	`jnl`	Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. CoRR Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli
2018	J	`jnl`	Safe Exploration in Continuous Action Spaces. CoRR Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerík, Todd Hester, Cosmin Paduraru, Yuval Tassa
2018	J	`jnl`	Solvability Regions of Affinely Parameterized Quadratic Equations. IEEE Control. Syst. Lett. Krishnamurthy Dvijotham, Hung D. Nguyen, Konstantin S. Turitsyn
2018	J	`jnl`	Training verified learners with learned verifiers. CoRR Krishnamurthy Dvijotham, Sven Gowal, Robert Stanforth, Relja Arandjelovic, Brendan O'Donoghue, Jonathan Uesato, Pushmeet Kohli
2018	J	`jnl`	Verification of deep probabilistic models. CoRR Krishnamurthy Dvijotham, Marta Garnelo, Alhussein Fawzi, Pushmeet Kohli
2017	A*	`conf`	Convergence of Incentive-Driven Dynamics in Fisher Markets. SODA Krishnamurthy Dvijotham, Yuval Rabani, Leonard J. Schulman
2017	J	`jnl`	Graphical models for optimal power flow. Constraints An Int. J. Krishnamurthy Dvijotham, Michael Chertkov, Pascal Van Hentenryck, Marc Vuffray, Sidhant Misra
2017	J	`jnl`	High-Voltage Solution in Radial Power Networks: Existence, Properties, and Equivalent Algorithms. IEEE Control. Syst. Lett. Krishnamurthy Dvijotham, Enrique Mallada, John W. Simpson-Porco
2017	J	`jnl`	Real-Time Optimal Power Flow. IEEE Trans. Smart Grid Yujie Tang, Krishnamurthy Dvijotham, Steven H. Low
2017	Misc	`conf`	Real-time OPF based on quasi-Newton methods. CISS Yujie Tang, Krishnamurthy Dvijotham, Steven H. Low
2017	J	`jnl`	Solvability regions of affinely parameterized quadratic equations. CoRR Krishnamurthy Dvijotham, Hung D. Nguyen, Konstantin S. Turitsyn
2016	—	`conf`	Error bounds on the DC power flow approximation: A convex relaxation approach. CDC Krishnamurthy Dvijotham, Daniel K. Molzahn
2016	J	`jnl`	Graphical Models for Optimal Power Flow. CoRR Krishnamurthy Dvijotham, Pascal Van Hentenryck, Michael Chertkov, Sidhant Misra, Marc Vuffray
2016	J	`jnl`	Market Dynamics of Best-Response with Lookahead. CoRR Krishnamurthy Dvijotham, Yuval Rabani, Leonard J. Schulman
2016	C	`conf`	Monotone operator approach to power flow solutions. ACC Krishnamurthy Dvijotham, Michael Chertkov, Steven H. Low
2016	J	`jnl`	Opportunities for Price Manipulation by Aggregators in Electricity Markets. CoRR Navid Azizan Ruhi, Krishnamurthy Dvijotham, Niangjun Chen, Adam Wierman
2016	J	`jnl`	Opportunities for Price Manipulation by Aggregators in Electricity Markets. SIGMETRICS Perform. Evaluation Rev. Navid Azizan Ruhi, Niangjun Chen, Krishnamurthy Dvijotham, Adam Wierman
2015	—	`conf`	A differential analysis of the power flow equations. CDC Krishnamurthy Dvijotham, Michael Chertkov, Steven H. Low
2015	J	`jnl`	Construction of power flow feasibility sets. CoRR Krishnamurthy Dvijotham, Konstantin S. Turitsyn
2015	J	`jnl`	Convex Structured Controller Design in Finite Horizon. IEEE Trans. Control. Netw. Syst. Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel
2015	C	`conf`	Convexity of structure preserving energy functions in power transmission: Novel results and applications. ACC Krishnamurthy Dvijotham, Michael Chertkov
2015	J	`jnl`	Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach. CoRR Krishnamurthy Dvijotham, Marc Vuffray, Sidhant Misra, Michael Chertkov
2015	J	`jnl`	Solving the Power Flow Equations: A Monotone Operator Approach. CoRR Krishnamurthy Dvijotham, Steven H. Low, Michael Chertkov
2015	J	`jnl`	Solving the Power Flow Equations: A Monotone Operator Theory Approach. CoRR Krishnamurthy Dvijotham, Michael Chertkov, Steven H. Low
2015	—	`conf`	Systems of quadratic equations: Efficient solution algorithms and conditions for solvability. Allerton Krishnamurthy Dvijotham
2014	—	`—`	Automating Stochastic Optimal Control. Krishnamurthy Dvijotham
2014	—	`conf`	Convex risk averse control design. CDC Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov
2014	J	`jnl`	Efficient Synchronization Stability Metrics for Fault Clearing. CoRR Scott Backhaus, Russell Bent, Daniel Bienstock, Michael Chertkov, Krishnamurthy Dvijotham
2014	—	`conf`	Storage Sizing and Placement through Operational and Uncertainty-Aware Simulations. HICSS Krishnamurthy Dvijotham, Misha Chertkov, Scott Backhaus
2014	A	`conf`	Universal Convexification via Risk-Aversion. UAI Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov
2014	J	`jnl`	Universal Convexification via Risk-Aversion. CoRR Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov
2013	J	`jnl`	Convex Structured Controller Design. CoRR Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel
2013	—	`conf`	Convex control design via covariance minimization. Allerton Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel
2013	—	`conf`	Convexity of optimal linear controller design. CDC Krishnamurthy Dvijotham, Evangelos A. Theodorou, Emanuel Todorov, Maryam Fazel
2013	J	`jnl`	Storage Sizing and Placement through Operational and Uncertainty-Aware Simulations. CoRR Krishnamurthy Dvijotham, Scott Backhaus, Misha Chertkov
2013	—	`conf`	Time varying nonlinear Policy Gradients. CDC Evangelos A. Theodorou, Krishnamurthy Dvijotham, Emo Todorov
2012	J	`jnl`	A Unifying Framework for Linearly Solvable Control CoRR Krishnamurthy Dvijotham, Emanuel Todorov
2012	J	`jnl`	Distributed Control of Generation in a Transmission Grid with a High Penetration of Renewables CoRR Krishnamurthy Dvijotham, Michael Chertkov, Scott Backhaus
2012	—	`conf`	Distributed control of generation in a transmission grid with a high penetration of renewables. SmartGridComm Krishnamurthy Dvijotham, Scott Backhaus, Michael Chertkov
2012	C	`conf`	Linearly solvable Markov games. ACC Krishnamurthy Dvijotham, Emo Todorov
2011	A	`conf`	A Unifying Framework for Linearly Solvable Control. UAI Krishnamurthy Dvijotham, Emanuel Todorov
2011	J	`jnl`	Operations-Based Planning for Placement and Sizing of Energy Storage in a Grid With a High Penetration of Renewables CoRR Krishnamurthy Dvijotham, Scott Backhaus, Misha Chertkov
2010	Misc	`conf`	A nullspace analysis of the nuclear norm heuristic for rank minimization. ICASSP Krishnamurthy Dvijotham, Maryam Fazel
2010	A*	`conf`	Inverse Optimal Control with Linearly-Solvable MDPs. ICML Krishnamurthy Dvijotham, Emanuel Todorov
2008	—	`conf`	New Closed-Form Bounds on the Partition Function. ECML/PKDD (1) Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri
2008	J	`jnl`	New closed-form bounds on the partition function. Mach. Learn. Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri