Brian Swenson - RankMe

46 papers A* 1B 2Misc 7Journal 23Unranked 11

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs. NeurIPS Adam D. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha
2023	J	`jnl`	AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs. CoRR Adam D. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha
2022	J	`jnl`	Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion. IEEE Trans. Autom. Control. Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
2022	J	`jnl`	Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima. J. Mach. Learn. Res. Brian Swenson, Ryan Murray, H. Vincent Poor, Soummya Kar
2020	J	`jnl`	Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion. CoRR Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
2020	Misc	`conf`	On Distributed Stochastic Gradient Algorithms for Global Optimization. ICASSP Brian Swenson, Anirudh Sridhar, H. Vincent Poor
2020	J	`jnl`	Regular potential games. Games Econ. Behav. Brian Swenson, Ryan W. Murray, Soummya Kar
2020	B	`conf`	Truthful mobile crowd sensing with interdependent valuations. MobiHoc Meng Zhang, Brian Swenson, Jianwei Huang, H. Vincent Poor
2019	—	`conf`	Annealing for Distributed Global Optimization. CDC Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
2019	J	`jnl`	Clustering with Distributed Data. CoRR Soummya Kar, Brian Swenson
2019	—	`conf`	Control of Parametric Games. ECC Carmel Fiscko, Brian Swenson, Soummya Kar, Bruno Sinopoli
2019	—	`conf`	Distributed Global Optimization by Annealing. CAMSAP Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
2019	J	`jnl`	Distributed Global Optimization by Annealing. CoRR Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
2019	—	`conf`	Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. Allerton Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
2019	J	`jnl`	Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. CoRR Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
2019	J	`jnl`	On Distributed Stochastic Gradient Algorithms for Global Optimization. CoRR Brian Swenson, Anirudh Sridhar, H. Vincent Poor
2019	J	`jnl`	Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points. IEEE Trans. Autom. Control. Ryan W. Murray, Brian Swenson, Soummya Kar
2019	Misc	`conf`	Smooth Fictitious Play in N × 2 Potential Games. ACSSC Brian Swenson, H. Vincent Poor
2019	J	`jnl`	Smooth Fictitious Play in N×2 Potential Games. CoRR Brian Swenson, H. Vincent Poor
2018	Misc	`conf`	Best-Response Dynamics in Continuous Potential Games: Non-Convergence to Saddle Points. ACSSC Brian Swenson, Ryan W. Murray, Soummya Kar, H. Vincent Poor
2018	J	`jnl`	Distributed Inertial Best-Response Dynamics. IEEE Trans. Autom. Control. Brian Swenson, Ceyhun Eksin, Soummya Kar, Alejandro Ribeiro
2018	J	`jnl`	On Best-Response Dynamics in Potential Games. SIAM J. Control. Optim. Brian Swenson, Ryan W. Murray, Soummya Kar
2017	J	`jnl`	Fictitious Play in Potential Games. CoRR Brian Swenson, Ryan W. Murray, Soummya Kar
2017	—	`—`	Myopic Best-Response Learning in Large-Scale Games. Brian Swenson
2017	J	`jnl`	On the Exponential Rate of Convergence of Fictitious Play in Potential Games. CoRR Brian Swenson, Soummya Kar
2017	—	`conf`	On the exponential rate of convergence of fictitious play in potential games. Allerton Brian Swenson, Soummya Kar
2017	J	`jnl`	Regular Potential Games. CoRR Brian Swenson, Ryan W. Murray, Soummya Kar
2017	J	`jnl`	Robustness Properties in Fictitious-Play-Type Algorithms. SIAM J. Control. Optim. Brian Swenson, Soummya Kar, João Xavier, David S. Leslie
2017	J	`jnl`	Single Sample Fictitious Play. IEEE Trans. Autom. Control. Brian Swenson, Soummya Kar, João Xavier
2016	Misc	`conf`	Computationally efficient learning in large-scale games: Sampled fictitious play revisited. ACSSC Brian Swenson, Soummya Kar, João Xavier
2016	J	`jnl`	Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information. CoRR Brian Swenson, Ceyhun Eksin, Soummya Kar, Alejandro Ribeiro
2016	—	`conf`	Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty. CDC Ceyhun Eksin, Brian Swenson, Soummya Kar, Alejandro Ribeiro
2016	B	`conf`	On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects. IJCNN Rongye Shi, Thomas C. Jackson, Brian Swenson, Soummya Kar, Lawrence T. Pileggi
2016	—	`ed.`	Proceedings of the Workshop on ns-3, WNS3 '16, Seattle, WA, USA, June 15-16, 2016 WNS3 Thomas Henderson, Eric Gamess, Brian Swenson, Hajime Tazaki
2015	J	`jnl`	A Computationally Efficient Implementation of Fictitious Play for Large-Scale Games. CoRR Brian Swenson, Soummya Kar, João M. F. Xavier
2015	—	`conf`	A computationally efficient implementation of fictitious play in a distributed setting. EUSIPCO Brian Swenson, Soummya Kar, João Xavier
2015	J	`jnl`	Empirical Centroid Fictitious Play: An Approach for Distributed Learning in Multi-Agent Games. IEEE Trans. Signal Process. Brian Swenson, Soummya Kar, João Xavier
2015	J	`jnl`	From Weak Learning to Strong Learning in Fictitious Play Type Algorithms. CoRR Brian Swenson, Soummya Kar, João Xavier
2015	Misc	`conf`	On asynchronous implementations of fictitious play for distributed learning. ACSSC Brian Swenson, Soummya Kar, João Xavier
2015	—	`conf`	On robustness properties in Empirical Centroid Fictitious Play. CDC Brian Swenson, Soummya Kar, João Xavier
2014	Misc	`conf`	Game-theoretic learning in a distributed-information setting: Distributed convergence to mean-centric equilibria. ACSSC Brian Swenson, Soummya Kar, João Xavier
2014	—	`conf`	Offload Destination Selection to Enable Distributed Computation on Battlefields. MILCOM Tamim Sookoor, David Doria, David Bruno, Dale R. Shires, Brian Swenson, Lori L. Pollock
2014	Misc	`conf`	Strong convergence to mixed equilibria in fictitious play. CISS Brian Swenson, Soummya Kar, João Manuel Freitas Xavier
2013	J	`jnl`	Empirical Centroid Fictitious Play: An Approach For Distributed Learning In Multi-Agent Games CoRR Brian Swenson, Soummya Kar, João Manuel Freitas Xavier
2013	—	`conf`	Mean-centric equilibrium: An equilibrium concept for learning in large-scale games. GlobalSIP Brian Swenson, Soummya Kar, João M. F. Xavier
2012	—	`conf`	Distributed learning in large-scale multi-agent games: A modified fictitious play approach. ACSCC Brian Swenson, Soummya Kar, João Manuel Freitas Xavier