Follow
Krishnamurthy Dvijotham
Krishnamurthy Dvijotham
Research Scientist, Google Brain
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
A Dual Approach to Scalable Verification of Deep Networks.
K Dvijotham, R Stanforth, S Gowal, TA Mann, P Kohli
UAI 1 (2), 3, 2018
3462018
On the effectiveness of interval bound propagation for training verifiably robust models
S Gowal, K Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ...
arXiv preprint arXiv:1810.12715, 2018
3162018
Safe exploration in continuous action spaces
G Dalal, K Dvijotham, M Vecerik, T Hester, C Paduraru, Y Tassa
arXiv preprint arXiv:1801.08757, 2018
2732018
Adversarial robustness through local linearization
C Qin, J Martens, S Gowal, D Krishnan, K Dvijotham, A Fawzi, S De, ...
Advances in Neural Information Processing Systems 32, 2019
2062019
Real-time optimal power flow
Y Tang, K Dvijotham, S Low
IEEE Transactions on Smart Grid 8 (6), 2963-2973, 2017
1862017
Inverse optimal control with linearly-solvable MDPs
K Dvijotham, E Todorov
ICML, 2010
1742010
Training verified learners with learned verifiers
K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ...
arXiv preprint arXiv:1805.10265, 2018
1422018
Achieving verified robustness to symbol substitutions via interval bound propagation
PS Huang, R Stanforth, J Welbl, C Dyer, D Yogatama, S Gowal, ...
arXiv preprint arXiv:1909.01492, 2019
1162019
Scalable verified training for provably robust image classification
S Gowal, KD Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
862019
Error bounds on the DC power flow approximation: A convex relaxation approach
K Dvijotham, DK Molzahn
2016 IEEE 55th Conference on Decision and Control (CDC), 2411-2418, 2016
612016
Rigorous agent evaluation: An adversarial approach to uncover catastrophic failures
J Uesato, A Kumar, C Szepesvari, T Erez, A Ruderman, K Anderson, ...
arXiv preprint arXiv:1812.01647, 2018
602018
Opportunities for price manipulation by aggregators in electricity markets
NA Ruhi, N Chen, K Dvijotham, A Wierman
ACM SIGMETRICS Performance Evaluation Review 44 (2), 49-51, 2016
602016
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
S Dathathri, K Dvijotham, A Kurakin, A Raghunathan, J Uesato, RR Bunel, ...
Advances in Neural Information Processing Systems 33, 5318-5331, 2020
542020
A unified theory of linearly solvable optimal control
K Dvijotham, E Todorov
Uncertainty in Artificial Intelligence, 2012
52*2012
Linearly solvable optimal control
K Dvijotham, E Todorov
Reinforcement learning and approximate dynamic programming for feedback …, 2012
452012
Storage sizing and placement through operational and uncertainty-aware simulations
K Dvijotham, M Chertkov, S Backhaus
2014 47th Hawaii international conference on system sciences, 2408-2416, 2014
442014
Convex restriction of power flow feasibility sets
D Lee, HD Nguyen, K Dvijotham, K Turitsyn
IEEE Transactions on Control of Network Systems 6 (3), 1235-1245, 2019
422019
Constructing convex inner approximations of steady-state security regions
HD Nguyen, K Dvijotham, K Turitsyn
IEEE Transactions on Power Systems 34 (1), 257-267, 2018
422018
A nullspace analysis of the nuclear norm heuristic for rank minimization
K Dvijotham, M Fazel
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
422010
A fine-grained analysis on distribution shift
O Wiles, S Gowal, F Stimberg, S Alvise-Rebuffi, I Ktena, K Dvijotham, ...
arXiv preprint arXiv:2110.11328, 2021
412021
The system can't perform the operation now. Try again later.
Articles 1–20