Timothy Doster

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All published works

Action	Title	Year	Authors
+ PDF Chat	STARS: Sensor-agnostic Transformer Architecture for Remote Sensing	2024	Edward King Jaime I. Rodríguez Diego Llanes Timothy Doster Tegan Emerson James Koch
+ PDF Chat	Data-Driven Invertible Neural Surrogates of Atmospheric Transmission	2024	James Koch Brenda M. Forland Bruce E. Bernacki Timothy Doster Tegan Emerson
+	Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction	2023	Michael Rawson Timothy Doster Tegan Emerson
+	In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?	2022	Henry Kvinge Tegan Emerson Grayson Jorgenson Scott Vasquez Timothy Doster Jesse D. Lew
+ PDF Chat	Reward-Free Attacks in Multi-Agent Reinforcement Learning	2021	Ted Fujimoto Timothy Doster Adam Attarian Jill M. Brandenberger Nathan O. Hodas
+	Reward-Free Attacks in Multi-Agent Reinforcement Learning	2021	Ted Fujimoto Timothy Doster Adam Attarian Jill M. Brandenberger Nathan O. Hodas
+	Argumentative Topology: Finding Loop(holes) in Logic.	2020	Sarah Tymochko Zachary New Lucius Bynum Emilie Purvine Timothy Doster Julien Chaput Tegan Emerson
+	Argumentative Topology: Finding Loop(holes) in Logic	2020	Sarah Tymochko Zachary New Lucius Bynum Emilie Purvine Timothy Doster Julien Chaput Tegan Emerson
+	An optimal transport model for imaging in atmospheric turbulence	2017	Jonathan M. Nichols Abbie T. Watnik Timothy Doster Serim Park А. В. Канаев Liam Cattell Gustavo K. Rohde
+ PDF Chat	Gradual DropIn of Layers to Train Very Deep Neural Networks	2016	Leslie N. Smith Emily M. Hand Timothy Doster
+	Gradual DropIn of Layers to Train Very Deep Neural Networks	2015	Leslie N. Smith Emily M. Hand Timothy Doster
+	Gradual DropIn of Layers to Train Very Deep Neural Networks	2015	Leslie N. Smith Emily M. Hand Timothy Doster

Common Coauthors

Coauthor	Papers Together
Tegan Emerson	6
Emily M. Hand	3
Leslie N. Smith	3
Sarah Tymochko	2
Jill M. Brandenberger	2
Lucius Bynum	2
Nathan O. Hodas	2
Julien Chaput	2
Zachary New	2
Emilie Purvine	2
James Koch	2
Brenda M. Forland	1
А. В. Канаев	1
Adam Attarian	1
Michael Rawson	1
Jesse D. Lew	1
Jonathan M. Nichols	1
Scott Vasquez	1
Jaime I. Rodríguez	1
Serim Park	1
Diego Llanes	1
Grayson Jorgenson	1
Liam Cattell	1
Edward King	1
Ted Fujimoto	1
Adam Attarian	1
Gustavo K. Rohde	1
Ted Fujimoto	1
Abbie T. Watnik	1
Bruce E. Bernacki	1
Henry Kvinge	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	FitNets: Hints for Thin Deep Nets	2014	Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta Yoshua Bengio	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+	Random Walk Initialization for Training Very Deep Feedforward Networks	2014	David Sussillo L. F. Abbott	2
+	On the Number of Linear Regions of Deep Neural Networks	2014	Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio	2
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	2
+	An Empirical Evaluation of Deep Learning on Highway Driving	2015	Brody Huval Tao Wang Sameep Tandon Jeff Kiske Will Song Joel Pazhayampallil Mykhaylo Andriluka Pranav Rajpurkar Toki Migimatsu Royce Cheng-Yue	2
+	Possible Mechanisms for Neural Reconfigurability and their Implications	2015	Thomas M. Breuel	2
+	Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations	2017	Paul Michel Abhilasha Ravichander Shruti Rijhwani	1
+ PDF Chat	Topological Signature of 19th Century Novelists: Persistent Homology in Text Mining	2018	Shafie Gholizadeh Armin Seyeditabari Wlodek Zadrozny	1
+	Local Homology of Word Embeddings.	2018	Tadas Temčinas	1
+	Adversarial Attacks on Neural Network Policies	2017	Sandy H. Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel	1
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	1
+	Training Very Deep Networks	2015	Rupesh K. Srivastava Klaus Greff Jürgen Schmidhuber	1
+	On the Number of Linear Regions of Deep Neural Networks	2014	Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio	1
+	Understanding the impact of entropy on policy optimization	2018	Zafarali Ahmed Nicolas Le Roux Mohammad Norouzi Dale Schuurmans	1
+	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments	2017	Ryan Lowe Yi Wu Aviv Tamar Jean Harb OpenAI Pieter Abbeel Igor Mordatch	1
+ PDF Chat	Highway long short-term memory RNNS for distant speech recognition	2016	Yu Zhang Guoguo Chen Dong Yu Kaisheng Yao Sanjeev Khudanpur James Glass	1
+	FitNets: Hints for Thin Deep Nets	2014	Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta Yoshua Bengio	1
+	Persistence Images: A Stable Vector Representation of Persistent Homology	2015	Henry Adams Tegan Emerson Michael Kirby Rachel Neville Chris Peterson Patrick D. Shipman Sofya Chepushtanova Eric Hanson Francis C. Motta Lori Ziegelmeier	1
+ PDF Chat	Risk Averse Robust Adversarial Reinforcement Learning	2019	Xinlei Pan Daniel Seita Yang Gao John Canny	1
+	OpenSpiel: A Framework for Reinforcement Learning in Games	2019	Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau Vinícius Zambaldi Satyaki Upadhyay Julien Pérolat Sriram Srinivasan Finbarr Timbers Karl Tuyls Shayegan Omidshafiei	1
+	Non-Cooperative Inverse Reinforcement Learning	2019	Xiangyuan Zhang Kaiqing Zhang Erik Miehling Tamer Başar	1
+ PDF Chat	Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals	2019	Yunhan Huang Quanyan Zhu	1
+	Dota 2 with Large Scale Deep Reinforcement Learning	2019	Christopher Berner Greg Brockman Brooke Chan Vicki Cheung Przemyslaw Debiak Christy Dennison David Farhi Quirin Fischer Shariq Hashme Christopher Hesse	1
+	Adversarial Policies: Attacking Deep Reinforcement Learning	2019	Adam Gleave Michael D. Dennis Cody Wild Neel Kant Sergey Levine Stuart Russell	1
+	Reward-Free Exploration for Reinforcement Learning	2020	Chi Jin Akshay Krishnamurthy Max Simchowitz Tiancheng Yu	1
+ PDF Chat	The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization	2021	Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Fengqiu Wang Evan Dorundo Rahul Desai Tyler Zhu Samyak Parajuli Mike Guo	1
+ PDF Chat	Multiparty Dynamics and Failure Modes for Machine Learning and Artificial Intelligence	2019	David Manheim	1
+	Avoiding Side Effects By Considering Future Tasks	2020	Victoria Krakovna Laurent Orseau Richard Ngo Miljan Martic Shane Legg	1
+ PDF Chat	Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework	2021	Chuheng Zhang Yuanying Cai Longbo Huang Jian Li	1
+	Optimal Transport: Old and New	2013	Cédric Villani	1
+	Training Very Deep Networks	2015	Rupesh K. Srivastava Klaus Greff Jürgen Schmidhuber	1
+	An Empirical Evaluation of Deep Learning on Highway Driving	2015	Brody Huval Tao Wang Sameep Tandon Jeff Kiske Will Song Joel Pazhayampallil Mykhaylo Andriluka Pranav Rajpurkar Toki Migimatsu Royce Cheng-Yue	1
+ PDF Chat	Computational Topology in Text Mining	2012	Hubert Wagner Paweł Dłotko Marian Mrożek	1
+	Detecting strange attractors in turbulence	1981	Floris Takens	1
+	Highway Long Short-Term Memory RNNs for Distant Speech Recognition	2015	Yu Zhang Guoguo Chen Dong Yu Kaisheng Yao Sanjeev Khudanpur James Glass	1
+	A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem	2000	Jean‐David Benamou Yann Brenier	1
+ PDF Chat	Mathematical and computational methods for semiclassical Schrödinger equations	2011	Shi Jin Peter A. Markowich Christof Sparber	1
+ PDF Chat	Barcodes: The persistent topology of data	2007	Robert Ghrist	1
+ PDF Chat	Metaphoric optical computing of fluid dynamics	2005	Mankei Tsang Demetri Psaltis	1
+	Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification	2015	Fa Wu Peijun Hu Dexing Kong	1
+	Persistent homology: an introduction and a new text representation for natural language processing	2013	Xiaojin Zhu	1
+	Non rigid geometric distortions correction - Application to atmospheric turbulence stabilization	2012	Yu Mao Jérôme Gilles	1
+	Concrete Problems in AI Safety	2016	Dario Amodei Chris Olah Jacob Steinhardt Paul F. Christiano John Schulman Dan Mané	1