Timothy Doster

35 papers A* 1C 4Journal 14Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Connection Between Score Matching and Local Intrinsic Dimension. CoRR Eric Yeats, Aaron Jacobson, Darryl Hannan, Yiran Jia, Timothy Doster, Henry Kvinge, Scott Mahan
2025	J	`jnl`	Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge. CoRR Eric Yeats, Darryl Hannan, Henry Kvinge, Timothy Doster, Scott Mahan
2025	J	`jnl`	FMG-Det: Foundation Model Guided Robust Object Detection. CoRR Darryl Hannan, Timothy Doster, Henry Kvinge, Adam Attarian, Yijing Watkins
2025	—	`conf`	Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization. CVPR Workshops Darryl Hannan, John Cooper, Dylan White, Timothy Doster, Henry Kvinge, Yijing Watkins
2025	J	`jnl`	Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization. CoRR Darryl Hannan, John Cooper, Dylan White, Timothy Doster, Henry Kvinge, Yijing Watkins
2025	J	`jnl`	On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms. CoRR Luke E. Richards, Jessie Yaros, Jasen Babcock, Coung Ly, Robin Cosbey, Timothy Doster, Cynthia Matuszek
2025	J	`jnl`	Saddle-Free Guidance: Improved On-Manifold Sampling without Labels or Additional Training. CoRR Eric Yeats, Darryl Hannan, Wilson Fearn, Timothy Doster, Henry Kvinge, Scott Mahan
2024	C	`conf`	Data-Driven Invertible Neural Surrogates of Atmospheric Transmission. IGARSS James Koch, Brenda Forland, Bruce Bernacki, Timothy Doster, Tegan Emerson
2024	J	`jnl`	Data-Driven Invertible Neural Surrogates of Atmospheric Transmission. CoRR James Koch, Brenda Forland, Bruce Bernacki, Timothy Doster, Tegan Emerson
2024	J	`jnl`	STARS: Sensor-agnostic Transformer Architecture for Remote Sensing. CoRR Ethan King, Jaime Rodriguez, Diego Llanes, Timothy Doster, Tegan Emerson, James Koch
2024	—	`conf`	Stars: Sensor-Agnostic Transformer Architecture for Remote Sensing. WHISPERS Ethan King, Jaime Rodriguez, Diego Llanes, Timothy Doster, Tegan Emerson, James Koch
2024	—	`conf`	Topological and Dynamical Representations for Radio Frequency Signal Classification. GRaM Audum Meyers, Timothy Doster, Colin C. Olson, Tegan Emerson
2023	—	`conf`	ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane
2023	—	`conf`	Preface. TAG-ML Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn
2023	J	`jnl`	Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction. CoRR Michael G. Rawson, Timothy Doster, Tegan Emerson
2023	—	`ed.`	Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Honolulu, HI, USA TAG-ML Timothy Doster, Tegan Emerson, Henry Kvinge, Nina Miolane, Mathilde Papillon, Bastian Rieck, Sophia Sanborn
2022	J	`jnl`	In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? CoRR Henry Kvinge, Tegan H. Emerson, Grayson Jorgenson, Scott Vasquez, Timothy Doster, Jesse D. Lew
2022	—	`conf`	Preface. TAG-ML Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
2022	—	`ed.`	Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual TAG-ML Alexander Cloninger, Timothy Doster, Tegan Emerson, Manohar Kaul, Ira Ktena, Henry Kvinge, Nina Miolane, Bastian Rice, Sarah Tymochko, Guy Wolf
2021	C	`conf`	Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis. ICMLA Sarah Tymochko, Julien Chaput, Timothy Doster, Emilie Purvine, Jackson Warley, Tegan Emerson
2021	J	`jnl`	Reward-Free Attacks in Multi-Agent Reinforcement Learning. CoRR Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas
2020	J	`jnl`	Argumentative Topology: Finding Loop(holes) in Logic. CoRR Sarah Tymochko, Zachary New, Lucius Bynum, Emilie Purvine, Timothy Doster, Julien Chaput, Tegan Emerson
2020	J	`jnl`	Path-Based Dictionary Augmentation: A Framework for Improving k-Sparse Image Processing. IEEE Trans. Image Process. Tegan H. Emerson, Colin C. Olson, Timothy Doster
2020	C	`conf`	Rotational Equivariance for Object Classification Using xView. IGARSS Lucius Bynum, Timothy Doster, Tegan H. Emerson, Henry Kvinge
2019	—	`conf`	Generative And Encoded Anomaly Detectors. WHISPERS Tegan H. Emerson, Jason A. Edelberg, Timothy Doster, Nicholas Merrill, Colin C. Olson
2018	—	`conf`	Path Orthogonal Matching Pursuit for Sparse Reconstruction and Denoising of SWIR Maritime Imagery. CVPR Workshops Timothy Doster, Tegan Emerson, Colin C. Olson
2018	—	`conf`	Path Orthogonal Matching Pursuit for k-Sparse Image Reconstruction. EUSIPCO Tegan H. Emerson, Timothy Doster, Colin C. Olson
2018	—	`conf`	Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection. WHISPERS Tegan H. Emerson, Timothy Doster, Colin C. Olson
2017	—	`conf`	A Novel Detection Paradigm and Its Comparison to Statistical and Kernel-Based Anomaly Detection Algorithms for Hyperspectral Imagery. CVPR Workshops Colin C. Olson, Timothy Doster
2017	—	`conf`	Selecting an Optimized COTS Filter Set for Multispectral Plenoptic Sensing. CVPR Workshops Timothy Doster, Colin C. Olson, Erin F. Fleet, Michael Yetzbacher
2016	A*	`conf`	Gradual DropIn of Layers to Train Very Deep Neural Networks. CVPR Leslie N. Smith, Emily M. Hand, Timothy Doster
2015	J	`jnl`	Gradual DropIn of Layers to Train Very Deep Neural Networks. CoRR Leslie N. Smith, Emily M. Hand, Timothy Doster
2014	—	`—`	Harmonic Analysis Inspired Data Fusion for Applications in Remote Sensing. Timothy Doster
2014	C	`conf`	Operator analysis and diffusion based embeddings for heterogeneous data fusion. IGARSS Alexander Cloninger, Wojciech Czaja, Timothy Doster
2013	—	`conf`	A case study on data fusion with overlapping segments. AIPR Alexander Cloninger, Wojciech Czaja, Timothy Doster