Ekaterina Tolstaya

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All published works

Action	Title	Year	Authors
+ PDF Chat	Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning	2022	Fernando Gama Qingbiao Li Ekaterina Tolstaya Amanda Prorok Alejandro Ribeiro
+ PDF Chat	Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks	2021	Ekaterina Tolstaya James Paulos Vijay Kumar Alejandro Ribeiro
+ PDF Chat	Identifying Driver Interactions via Conditional Behavior Prediction	2021	Ekaterina Tolstaya Reza Mahjourian Carlton Downey Balakrishnan Vadarajan Benjamin Sapp Dragomir Anguelov
+ PDF Chat	Graph Neural Networks for Decentralized Controllers	2021	Fernando Gama Ekaterina Tolstaya Alejandro Ribeiro
+	Identifying Driver Interactions via Conditional Behavior Prediction	2021	Ekaterina Tolstaya Reza Mahjourian Carlton Downey Balakrishnan Varadarajan Benjamin Sapp Dragomir Anguelov
+	Decentralized Control with Graph Neural Networks.	2020	Fernando Gama Qingbiao Li Ekaterina Tolstaya Amanda Prorok Alejandro Ribeiro
+	Graph Neural Networks for Decentralized Controllers.	2020	Fernando Gama Ekaterina Tolstaya Alejandro Ribeiro
+ PDF Chat	Inverse Optimal Planning for Air Traffic Control	2019	Ekaterina Tolstaya Alejandro Ribeiro Vijay Kumar Ashish Kapoor
+	Graph Policy Gradients for Large Scale Robot Control	2019	Arbaaz Khan Ekaterina Tolstaya Alejandro Ribeiro Vijay Kumar
+ PDF Chat	Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks	2019	Ekaterina Tolstaya Fernando Gama James Paulos George J. Pappas Vijay Kumar Alejandro Ribeiro
+ PDF Chat	Composable Learning with Sparse Kernel Representations	2018	Ekaterina Tolstaya Ethan Stump Alec Koppel Alejandro Ribeiro
+ PDF Chat	Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems	2018	Ekaterina Tolstaya Alec Koppel Ethan Stump Alejandro Ribeiro
+	Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems	2018	Alec Koppel Ekaterina Tolstaya Ethan Stump Alejandro Ribeiro

Common Coauthors

Coauthor	Papers Together
Alejandro Ribeiro	11
Fernando Gama	5
Vijay Kumar	4
Ethan Stump	3
Alec Koppel	3
Qingbiao Li	2
James Paulos	2
Benjamin Sapp	2
Reza Mahjourian	2
Carlton Downey	2
Amanda Prorok	2
Dragomir Anguelov	2
Ashish Kapoor	1
Balakrishnan Varadarajan	1
George J. Pappas	1
Arbaaz Khan	1
Balakrishnan Vadarajan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Convolutional Neural Network Architectures for Signals Supported on Graphs	2018	Fernando Gama Antonio G. Marqués Geert Leus Alejandro Ribeiro	7
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	7
+	Stability Properties of Graph Neural Networks	2020	Fernando Gama Joan Bruna Alejandro Ribeiro	6
+ PDF Chat	The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains	2013	David I Shuman Sunil K. Narang Pascal Frossard Antonio Ortega Pierre Vandergheynst	5
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	5
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	5
+ PDF Chat	Graph Neural Networks for Decentralized Multi-Robot Path Planning	2020	Qingbiao Li Fernando Gama Alejandro Ribeiro Amanda Prorok	4
+	Gated Graph Recurrent Neural Networks	2020	Luana Ruiz Fernando Gama Alejandro Ribeiro	4
+ PDF Chat	Discrete Signal Processing on Graphs	2013	Aliaksei Sandryhaila José M. F. Moura	4
+	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	2017	Yaguang Li Rose Yu Cyrus Shahabi Yan Liu	4
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	4
+	Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs	2019	Fernando Gama Elvin Isufi Alejandro Ribeiro Geert Leus	4
+ PDF Chat	Graph Signal Processing: Overview, Challenges, and Applications	2018	Antonio Ortega Pascal Frossard Jelena Kovačević José M. F. Moura Pierre Vandergheynst	4
+ PDF Chat	Constrained Consensus and Optimization in Multi-Agent Networks	2010	A. Nedić Asuman Ozdaglar Pablo A. Parrilo	4
+	Matching pursuits with time-frequency dictionaries	1993	Stéphane Mallat Zhifeng Zhang	3
+	When Is There a Representer Theorem? Vector Versus Matrix Regularizers	2009	Andreas A. Argyriou Charles A. Micchelli Massimiliano Pontil	3
+	Relational inductive biases, deep learning, and graph networks	2018	Peter Battaglia Jessica B. Hamrick Victor Bapst Álvaro Sánchez‐González Vinícius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	EdgeNets: Edge Varying Graph Neural Networks	2021	Elvin Isufi Fernando Gama Alejandro Ribeiro	3
+ PDF Chat	Optimal Power Flow Using Graph Neural Networks	2020	Damian Owerko Fernando Gama Alejandro Ribeiro	3
+	Universal Kernels	2006	Charles A. Micchelli Yuesheng Xu Haizhang Zhang	3
+	Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks	2020	Fernando Gama Elvin Isufi Geert Leus Alejandro Ribeiro	3
+	Connecting the Dots: Identifying Network Structure via Graph Signal Processing	2019	Gonzalo Mateos Santiago Segarra Antonio G. Marqués Alejandro Ribeiro	2
+	Invariance-Preserving Localized Activation Functions for Graph Neural Networks	2019	Luana Ruiz Fernando Gama Antonio G. Marqués Alejandro Ribeiro	2
+	Diverse Trajectory Forecasting with Determinantal Point Processes	2020	Ye Yuan Kris Kitani	2
+ PDF Chat	Decentralization of Multiagent Policies by Learning What to Communicate	2019	James Paulos Steven W. Chen Daigo Shishika Vijay Kumar	2
+ PDF Chat	PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings	2019	Nicholas Rhinehart Rowan McAllister Kris Kitani Sergey Levine	2
+ PDF Chat	Structured Sequence Modeling with Graph Convolutional Recurrent Networks	2018	Youngjoo Seo Michaël Defferrard Pierre Vandergheynst Xavier Bresson	2
+ PDF Chat	UAV-Assisted Heterogeneous Networks for Capacity Enhancement	2016	Vishal Sharma Mehdi Bennis Rajesh Kumar	2
+ PDF Chat	DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents	2017	Namhoon Lee Wongun Choi Paul Vernaza Christopher Choy Philip H. S. Torr Manmohan Chandraker	2
+	Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control	2018	Rhiannon Michelmore Marta Kwiatkowska Yarin Gal	2
+	Sampling of Graph Signals With Successive Local Aggregations	2015	Antonio G. Marqués Santiago Segarra Geert Leus Alejandro Ribeiro	2
+	EdgeNets:Edge Varying Graph Neural Networks	2020	Elvin Isufi Fernando Gama Alejandro Ribeiro	2
+ PDF Chat	Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction	2018	Edward Schmerling Karen Leung Wolf Vollprecht Marco Pavone	2
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	2
+ PDF Chat	Forecasting Time Series With VARMA Recursions on Graphs	2019	Elvin Isufi Andreas Loukas Nathanaël Perraudin Geert Leus	2
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	2
+ PDF Chat	Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems	2018	Ekaterina Tolstaya Alec Koppel Ethan Stump Alejandro Ribeiro	2
+	Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers	2019	Fernando Gama Alejandro Ribeiro	2
+	Breaking Bellman's Curse of Dimensionality: Efficient Kernel Gradient Temporal Difference	2017	Alec Koppel Garrett Warnell Ethan Stump Peter Stone Alejandro Ribeiro	2
+	A unified view of diffusion maps and signal processing on graphs	2017	Ayelet Heimowitz Yonina C. Eldar	2
+ PDF Chat	Stationary Signal Processing on Graphs	2017	Nathanaël Perraudin Pierre Vandergheynst	2
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	2
+ PDF Chat	Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks	2018	Agrim Gupta Justin Johnson Li Fei-Fei Silvio Savarese Alexandre Alahi	2
+	Stationary Graph Processes and Spectral Estimation	2017	Antonio G. Marqués Santiago Segarra Geert Leus Alejandro Ribeiro	2
+	Discrete Signal Processing on Graphs: Sampling Theory	2015	Siheng Chen Rohan Varma Aliaksei Sandryhaila Jelena Kovačević	2
+ PDF Chat	AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles	2017	Shital Shah Debadeepta Dey Chris Lovett Ashish Kapoor	2
+ PDF Chat	Argoverse: 3D Tracking and Forecasting With Rich Maps	2019	Ming-Fang Chang Deva Ramanan James Hays John Lambert Patsorn Sangkloy Jagjeet Singh Sławomir Bąk Andrew T. Hartnett Wang De Peter Carr	2
+	Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning	2018	Natasha Jaques Angeliki Lazaridou Edward Hughes Çaǧlar Gülçehre Pedro A. Ortega DJ Strouse Joel Z. Leibo Nando de Freitas	2
+ PDF Chat	Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions	2016	Mengdi Wang Ethan X. Fang Han Liu	2