default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVaibhav Srivastava
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j27]Piyush Gupta, Vaibhav Srivastava:
Structural properties of optimal fidelity selection policies for human-in-the-loop queues. Autom. 159: 111388 (2024)- [j26]Huanqing Wang
, Kaixiang Zhang, Kyungjoon Lee, Yu Mei, Keyi Zhu, Vaibhav Srivastava, Jun Sheng, Zhaojian Li:
Mechanical Design and Data-Enabled Predictive Control of a Planar Soft Robot. IEEE Robotics Autom. Lett. 9(9): 7923-7930 (2024) - [j25]Vishal Abhishek, Vaibhav Srivastava:
SIS Epidemic Spreading Under Multilayer Population Dispersal in Patchy Environments. IEEE Trans. Control. Netw. Syst. 11(1): 126-138 (2024) - [j24]Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava:
Coupled Evolutionary Behavioral and Disease Dynamics Under Reinfection Risk. IEEE Trans. Control. Netw. Syst. 11(2): 795-807 (2024) - 2023
- [j23]Urmee Maitra, Ashish R. Hota, Vaibhav Srivastava:
SIS Epidemic Propagation Under Strategic Non-Myopic Protection: A Dynamic Population Game Approach. IEEE Control. Syst. Lett. 7: 1578-1583 (2023) - [j22]Ethan Lau, Vaibhav Srivastava, Shaunak D. Bopardikar:
A Multi-Fidelity Bayesian Approach to Safe Controller Design. IEEE Control. Syst. Lett. 7: 2904-2909 (2023) - [j21]Piyush Gupta, Shaunak D. Bopardikar, Vaibhav Srivastava:
Incentivizing Collaboration in Heterogeneous Teams via Common-Pool Resource Games. IEEE Trans. Autom. Control. 68(3): 1902-1909 (2023) - [j20]Nan Li, Kaixiang Zhang, Zhaojian Li, Vaibhav Srivastava, Xiang Yin:
Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks. IEEE Trans. Autom. Control. 68(9): 5287-5300 (2023) - 2022
- [j19]Zahra Aminzare, Vaibhav Srivastava:
Stochastic synchronization in nonlinear network systems driven by intrinsic and coupling noise. Biol. Cybern. 116(2): 147-162 (2022) - [j18]Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard:
Influence Spread in the Heterogeneous Multiplex Linear Threshold Model. IEEE Trans. Control. Netw. Syst. 9(3): 1080-1091 (2022) - 2021
- [j17]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Distributed cooperative decision making in multi-agent multi-armed bandits. Autom. 125: 109445 (2021) - [j16]Lai Wei, Vaibhav Srivastava:
Minimax Policy for Heavy-Tailed Bandits. IEEE Control. Syst. Lett. 5(4): 1423-1428 (2021) - [j15]Connor J. Boss, Vaibhav Srivastava:
In-Flight Actuator Failure Recovery of a Hexrotor Via Multiple Models and Extended High-Gain Observers. IEEE Robotics Autom. Lett. 6(4): 6204-6211 (2021) - [j14]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Corrections to "Satisficing in Multiarmed Bandit Problems". IEEE Trans. Autom. Control. 66(1): 476-478 (2021) - 2020
- [j13]Shaunak D. Bopardikar, Vaibhav Srivastava:
Dynamic Vehicle Routing in Presence of Random Recalls. IEEE Control. Syst. Lett. 4(1): 37-42 (2020) - 2018
- [j12]Zahra Aminzare, Vaibhav Srivastava, Philip Holmes:
Gait Transitions in a Phase Oscillator Model of an Insect Central Pattern Generator. SIAM J. Appl. Dyn. Syst. 17(1): 626-671 (2018) - [j11]Rebecca Gray, Alessio Franci, Vaibhav Srivastava, Naomi Ehrich Leonard:
Multiagent Decision-Making Dynamics Inspired by Honeybees. IEEE Trans. Control. Netw. Syst. 5(2): 793-806 (2018) - 2017
- [j10]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Satisficing in Multi-Armed Bandit Problems. IEEE Trans. Autom. Control. 62(8): 3788-3803 (2017) - 2014
- [j9]Vaibhav Srivastava, Ruggero Carli, Cédric Langbort, Francesco Bullo:
Attention allocation for decision making queues. Autom. 50(2): 378-388 (2014) - [j8]Erik K. Malm, Vaibhav Srivastava, Gustav Sundqvist, Vincent Bulone:
APP: an Automated Proteomics Pipeline for the analysis of mass spectrometry data based on multiple open access tools. BMC Bioinform. 15: 6600 (2014) - [j7]Vaibhav Srivastava, Francesco Bullo:
Knapsack problems with sigmoid utilities: Approximation algorithms via hybrid optimization. Eur. J. Oper. Res. 236(2): 488-498 (2014) - [j6]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Modeling Human Decision Making in Generalized Gaussian Multiarmed Bandits. Proc. IEEE 102(4): 544-571 (2014) - [j5]Luca Carlone, Vaibhav Srivastava, Francesco Bullo, Giuseppe Carlo Calafiore:
Distributed Random Convex Programming via Constraints Consensus. SIAM J. Control. Optim. 52(1): 629-662 (2014) - [j4]Vaibhav Srivastava, Naomi Ehrich Leonard:
Collective Decision-Making in Ideal Networks: The Speed-Accuracy Tradeoff. IEEE Trans. Control. Netw. Syst. 1(1): 121-132 (2014) - 2013
- [j3]Vaibhav Srivastava, Fabio Pasqualetti, Francesco Bullo:
Stochastic surveillance strategies for spatial quickest detection. Int. J. Robotics Res. 32(12): 1438-1458 (2013) - 2011
- [j2]Vaibhav Srivastava, Jeff Moehlis, Francesco Bullo:
On Bifurcations in Nonlinear Consensus Networks. J. Nonlinear Sci. 21(6): 875-895 (2011) - [j1]Vaibhav Srivastava, Kurt Plarre, Francesco Bullo:
Randomized Sensor Selection in Sequential Hypothesis Testing. IEEE Trans. Signal Process. 59(5): 2342-2354 (2011)
Conference and Workshop Papers
- 2023
- [c48]Yu Mei, Preston Fairchild, Vaibhav Srivastava, Changyong Cao, Xiaobo Tan:
Simultaneous Motion and Stiffness Control for Soft Pneumatic Manipulators based on a Lagrangian-based Dynamic Model. ACC 2023: 145-152 - [c47]Demetris Coleman, Shaunak D. Bopardikar, Vaibhav Srivastava, Xiaobo Tan:
Exploration of Unknown Scalar Fields with Multifidelity Gaussian Processes Under Localization Uncertainty. ACC 2023: 3296-3303 - [c46]Dong Hae Mangalindan, Ericka Rovira, Vaibhav Srivastava:
On Trust-aware Assistance-seeking in Human-Supervised Autonomy. ACC 2023: 3901-3906 - [c45]Abhishek Bajpai, Vaibhav Srivastava, Shruti Yadav, Yash Sharma:
Multiple Flying Object Detection using AlexNet Architecture for Aerial Surveillance Applications. ICCCNT 2023: 1-6 - 2022
- [c44]Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava:
Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces. ACC 2022: 683-688 - [c43]Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava:
Epidemic Propagation under Evolutionary Behavioral Dynamics: Stability and Bifurcation Analysis. ACC 2022: 3662-3667 - [c42]Shaunak D. Bopardikar, Vaibhav Srivastava:
A Scenario Approach to Robust Simulation-based Path Planning. ACC 2022: 5024-5029 - [c41]Piyush Gupta, Vaibhav Srivastava:
Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning. CDC 2022: 2313-2318 - 2021
- [c40]Vishal Abhishek, Vaibhav Srivastava, Ranjan Mukherjee:
Towards a heterogeneous cable-connected team of UAVs for aerial manipulation. ACC 2021: 54-59 - [c39]Connor J. Boss, Vishal Abhishek, Vaibhav Srivastava:
Towards multi-body multi-rotors for long reach manipulation. ACC 2021: 112-117 - [c38]Lai Wei, Vaibhav Srivastava:
Minimax Policy for Heavy-tailed Bandits. ACC 2021: 1155-1160 - [c37]Andrew McDonald, Lai Wei, Vaibhav Srivastava:
Online Estimation and Coverage Control with Heterogeneous Sensing Information. CCTA 2021: 144-149 - [c36]Piyush Gupta, Vaibhav Srivastava:
On Robust and Adaptive Fidelity Selection for Human-in-the-loop Queues. ECC 2021: 872-877 - [c35]Lai Wei, Andrew McDonald, Vaibhav Srivastava:
Multi-Robot Gaussian Process Estimation and Coverage: Deterministic Sequencing Algorithm and Regret Analysis. ICRA 2021: 9080-9085 - 2020
- [c34]Connor J. Boss, Vaibhav Srivastava, Hassan K. Khalil:
Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach. ACC 2020: 1429-1434 - [c33]Yasir Khudhair Al-Nadawi, Hothaifa Al-Qassab, Daniel Kent, Su Pang, Vaibhav Srivastava, Hayder Radha:
Design of Robust Path-Following Control System for Self-driving Vehicles Using Extended High-Gain Observer. ACC 2020: 1435-1440 - [c32]Vishal Abhishek, Vaibhav Srivastava:
SIS Epidemic Model under Mobility on Multi-layer Networks. ACC 2020: 3743-3748 - [c31]Lai Wei, Xiaobo Tan, Vaibhav Srivastava:
Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes. IROS 2020: 7095-7100 - 2019
- [c30]Piyush Gupta, Vaibhav Srivastava:
Optimal Fidelity Selection for Human-in-the-loop Queues using Semi-Markov Decision Processes. ACC 2019: 5266-5271 - [c29]Zahra Aminzare, Philip Holmes, Vaibhav Srivastava:
On Phase Reduction and Time Period of Noisy Oscillators. CDC 2019: 4717-4722 - [c28]Piyush Gupta, Shaunak D. Bopardikar, Vaibhav Srivastava:
Achieving Efficient Collaboration in Decentralized Heterogeneous Teams using Common-Pool Resource Games. CDC 2019: 6924-6929 - [c27]Khem Raj Ghusinga, Vaibhav Srivastava, Abhyudai Singh:
Driving an Ornstein-Uhlenbeck Process to Desired First-Passage Time Statistics. ECC 2019: 869-874 - 2018
- [c26]Lai Wei, Vaibhav Srivastava:
On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems. ACC 2018: 6291-6296 - [c25]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Social Imitation in Cooperative Multiarmed Bandits: Partition-Based Algorithms with Strictly Local Information. CDC 2018: 5239-5244 - [c24]Lai Wei, Vaibhav Srivastava:
On Distributed Multi-Player Multiarmed Bandit Problems in Abruptly Changing Environment. CDC 2018: 5783-5788 - [c23]Paul Reverdy, Vaibhav Srivastava:
Multi-Armed Bandits for Human-Machine Decision Making. ICASSP 2018: 6986-6990 - 2017
- [c22]Vaibhav Srivastava, Naomi Ehrich Leonard:
Bio-inspired decision-making and control: From honeybees and neurons to network design. ACC 2017: 2026-2039 - [c21]Anthony J. Savas, Vaibhav Srivastava, Naomi Ehrich Leonard:
On distributed linear filtering with noisy communication. ACC 2017: 2699-2704 - [c20]Sarah Huiyi Cen, Vaibhav Srivastava, Naomi Ehrich Leonard:
On robustness and leadership in Markov switching consensus networks. CDC 2017: 1701-1706 - [c19]Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard:
On the linear threshold model for diffusion of innovations in multiplex social networks. CDC 2017: 2593-2598 - 2016
- [c18]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Distributed cooperative decision-making in multiarmed bandits: Frequentist and Bayesian algorithms. CDC 2016: 167-172 - [c17]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
On distributed cooperative decision-making in multiarmed bandits. ECC 2016: 243-248 - 2015
- [c16]Vaibhav Srivastava, Naomi Ehrich Leonard:
On first passage time problems in collective decision-making with heterogeneous agents. ACC 2015: 2113-2118 - [c15]Michael Shvartsman, Vaibhav Srivastava, Jonathan D. Cohen:
A Theory of Decision Making Under Dynamic Context. NIPS 2015: 2485-2493 - 2014
- [c14]Hamid Emadi, Vaibhav Srivastava, Umesh Vaidya, Sourabh Bhattacharya:
Further results on a class of nonlinear protocols in networked systems. AuCC 2014: 193-198 - [c13]Vaibhav Srivastava, Paul Reverdy, Naomi Ehrich Leonard:
Surveillance in an abruptly changing world via multiarmed bandits. CDC 2014: 692-697 - [c12]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Algorithmic models of human decision making in Gaussian multi-armed bandit problems. ECC 2014: 2210-2215 - 2013
- [c11]Vaibhav Srivastava, Paul Reverdy, Naomi Ehrich Leonard:
On optimal foraging and multi-armed bandits. Allerton 2013: 494-499 - [c10]Vaibhav Srivastava, Naomi Ehrich Leonard:
On the speed-accuracy tradeoff in collective decision making. CDC 2013: 1880-1885 - 2012
- [c9]Vaibhav Srivastava, Amit Surana, Francesco Bullo:
Adaptive attention allocation in human-robot systems. ACC 2012: 2767-2774 - 2011
- [c8]Vaibhav Srivastava, Ruggero Carli, Cédric Langbort, Francesco Bullo:
Task release control for decision making queues. ACC 2011: 1855-1860 - [c7]Vaibhav Srivastava, Francesco Bullo:
Stochastic surveillance strategies for spatial quickest detection. CDC/ECC 2011: 83-88 - [c6]Vaibhav Srivastava, Kurt Plarre, Francesco Bullo:
Adaptive sensor selection in sequential hypothesis testing. CDC/ECC 2011: 6284-6289 - [c5]Vaibhav Srivastava, Francesco Bullo:
Hybrid combinatorial optimization: Sample problems and algorithms. CDC/ECC 2011: 7212-7217 - [c4]Luca Carlone, Vaibhav Srivastava, Francesco Bullo, Giuseppe Carlo Calafiore:
A distributed algorithm for random convex programming. NetGCoop 2011: 1-7 - 2010
- [c3]Vaibhav Srivastava, Jeff Moehlis, Francesco Bullo:
On bifurcations in nonlinear consensus networks. ACC 2010: 1647-1652 - 2008
- [c2]Ananda Swarup Das, Jitu Kumar Keshri, Kannan Srinathan, Vaibhav Srivastava:
Privacy Preserving Shortest Path Computation in Presence of Convex Polygonal Obstacles. ARES 2008: 446-451 - 2007
- [c1]Ananda Swarup Das, Kannan Srinathan, Ritesh Kumar Tiwari, Vaibhav Srivastava:
Privacy Preserving Computation of Shortest Path in Presence of a Single Convex Polygonal Obstacle. MDM 2007: 248-252
Informal and Other Publications
- 2024
- [i40]Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava:
Human Motor Learning Dynamics in High-dimensional Tasks. CoRR abs/2404.13258 (2024) - [i39]Dong Hae Mangalindan, Vaibhav Srivastava:
Assistance-Seeking in Human-Supervised Autonomy: Role of Trust and Secondary Task Engagement (Extended Version). CoRR abs/2405.20118 (2024) - [i38]Amin Vahidi-Moghaddam, Kaixiang Zhang, Xunyuan Yin, Vaibhav Srivastava, Zhaojian Li:
Online Reduced-Order Data-Enabled Predictive Control. CoRR abs/2407.16066 (2024) - 2023
- [i37]Ethan Lau, Vaibhav Srivastava, Shaunak D. Bopardikar:
A Multi-Fidelity Bayesian Approach to Safe Controller Design. CoRR abs/2304.11023 (2023) - [i36]Ethan Lau, Vaibhav Srivastava, Shaunak D. Bopardikar:
On Multi-Fidelity Impedance Tuning for Human-Robot Cooperative Manipulation. CoRR abs/2310.05904 (2023) - [i35]Piyush Gupta, Subir Biswas, Vaibhav Srivastava:
Fostering Human Learning in Sequential Decision-Making: Understanding the Role of Evaluative Feedback. CoRR abs/2311.03486 (2023) - [i34]Piyush Gupta, Vaibhav Srivastava:
Optimal Fidelity Selection for Improved Performance in Human-in-the-Loop Queues for Underwater Search. CoRR abs/2311.06381 (2023) - 2022
- [i33]Piyush Gupta, Vaibhav Srivastava:
Structural Properties of Optimal Fidelity Selection Policies for Human-in-the-loop Queues. CoRR abs/2201.09990 (2022) - [i32]Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava:
Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces. CoRR abs/2202.02863 (2022) - [i31]Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava:
Epidemic Propagation under Evolutionary Behavioral Dynamics: Stability and Bifurcation Analysis. CoRR abs/2203.10276 (2022) - [i30]Piyush Gupta, Vaibhav Srivastava:
Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning. CoRR abs/2209.05408 (2022) - [i29]Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava:
Coupled Evolutionary Behavioral and Disease Dynamics under Reinfection Risk. CoRR abs/2209.07348 (2022) - [i28]Vishal Abhishek, Vaibhav Srivastava:
SIS Epidemic Spreading under Multi-layer Population Dispersal in Patchy Environments. CoRR abs/2211.00169 (2022) - 2021
- [i27]Lai Wei, Andrew McDonald, Vaibhav Srivastava:
Regret Analysis of Distributed Gaussian Process Estimation and Coverage. CoRR abs/2101.04306 (2021) - [i26]Lai Wei, Vaibhav Srivastava:
Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret. CoRR abs/2101.08980 (2021) - [i25]Zahra Aminzare, Vaibhav Srivastava:
Phase Reduction and Synchronization of Coupled Noisy Oscillators. CoRR abs/2103.04492 (2021) - [i24]Connor J. Boss, Vaibhav Srivastava:
In-flight actuator failure recovery of a hexrotor via multiple models and extended high-gain observers. CoRR abs/2103.10318 (2021) - [i23]Connor J. Boss, Vaibhav Srivastava:
A High-Gain Observer Approach to Robust Trajectory Estimation and Tracking for a Multi-rotor UAV. CoRR abs/2103.13429 (2021) - [i22]Nan Li, Kaixiang Zhang, Zhaojian Li, Vaibhav Srivastava, Xiang Yin:
Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks. CoRR abs/2106.10604 (2021) - [i21]Andrew McDonald, Lai Wei, Vaibhav Srivastava:
Online Estimation and Coverage Control with Heterogeneous Sensing Information. CoRR abs/2106.14984 (2021) - 2020
- [i20]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits. CoRR abs/2003.01312 (2020) - [i19]Yasir Khudhair Al-Nadawi, Hothaifa Al-Qassab, Daniel Kent, Su Pang, Vaibhav Srivastava, Hayder Radha:
Design of Robust Path-Following Control System for Self-driving Vehicles Using Extended High-Gain Observer. CoRR abs/2003.06333 (2020) - [i18]Vishal Abhishek, Vaibhav Srivastava:
SIS Epidemic Model under Mobility on Multi-layer Networks. CoRR abs/2003.06341 (2020) - [i17]Connor J. Boss, Vaibhav Srivastava, Hassan K. Khalil:
Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach. CoRR abs/2003.06390 (2020) - [i16]Lai Wei, Xiaobo Tan, Vaibhav Srivastava:
Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes. CoRR abs/2005.08434 (2020) - [i15]Lai Wei, Vaibhav Srivastava:
Minimax Policy for Heavy-tailed Multi-armed Bandits. CoRR abs/2007.10493 (2020) - [i14]Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard:
Influence Spread in the Heterogeneous Multiplex Linear Threshold Model. CoRR abs/2008.04383 (2020) - 2019
- [i13]Piyush Gupta, Shaunak D. Bopardikar, Vaibhav Srivastava:
Incentivizing Collaboration in Heterogeneous Teams via Common-Pool Resource Games. CoRR abs/1908.03938 (2019) - [i12]Vishal Abhishek, Vaibhav Srivastava:
On Epidemic Spreading under Mobility on Networks. CoRR abs/1909.02647 (2019) - 2018
- [i11]Lai Wei, Vaibhav Srivastava:
On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems. CoRR abs/1802.08380 (2018) - [i10]Lai Wei, Vaibhav Srivastava:
On Distributed Multi-player Multiarmed Bandit Problems in Abruptly Changing Environment. CoRR abs/1812.05165 (2018) - 2016
- [i9]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms. CoRR abs/1606.00911 (2016) - 2015
- [i8]Vaibhav Srivastava, Paul Reverdy, Naomi Ehrich Leonard:
Correlated Multiarmed Bandit Problem: Bayesian Algorithms and Regret Analysis. CoRR abs/1507.01160 (2015) - [i7]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
On Distributed Cooperative Decision-Making in Multiarmed Bandits. CoRR abs/1512.06888 (2015) - [i6]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Satisficing in multi-armed bandit problems. CoRR abs/1512.07638 (2015) - 2014
- [i5]Vaibhav Srivastava, Naomi Ehrich Leonard:
Collective Decision-Making in Ideal Networks: The Speed-Accuracy Tradeoff. CoRR abs/1402.3634 (2014) - 2013
- [i4]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Modeling Human Decision-making in Generalized Gaussian Multi-armed Bandits. CoRR abs/1307.6134 (2013) - [i3]Vaibhav Srivastava, Amit Surana, Miguel P. Eckstein, Francesco Bullo:
Mixed Human-Robot Team Surveillance. CoRR abs/1311.2796 (2013) - 2012
- [i2]Vaibhav Srivastava, Fabio Pasqualetti, Francesco Bullo:
Stochastic Surveillance Strategies for Spatial Quickest Detection. CoRR abs/1210.3438 (2012) - 2009
- [i1]Vaibhav Srivastava, Kurt Plarre, Francesco Bullo:
Randomized Sensor Selection in Sequential Hypothesis Testing. CoRR abs/0909.1801 (2009)
Coauthor Index
Shaunak Dattaprasad Bopardikar
aka: Shaunak D. Bopardikar
aka: Shaunak D. Bopardikar
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
