Tegan Emerson - RankMe

48 papers A* 2C 2Journal 24Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalist multimodal AI: A review of architectures, challenges and opportunities. Neurocomputing Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik
2026	J	`jnl`	What do Geometric Hallucination Detection Metrics Actually Measure? CoRR Eric Yeats, John Buckheit, Sarah Scullen, Brendan Kennedy, Loc Truong, Davis Brown, Bill Kay, Cliff A. Joslyn, Tegan Emerson, Michael J. Henry, John Emanuello, Henry Kvinge
2025	J	`jnl`	Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense. CoRR Sayak Mukherjee, Samrat Chatterjee, Emilie Purvine, Ted Fujimoto, Tegan Emerson
2025	J	`jnl`	Which Way from B to A: The role of embedding geometry in image interpolation for Stable Diffusion. CoRR Nicholas Karris, Luke Durell, Javier E. Flores, Tegan Emerson
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`	Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities. CoRR Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik
2024	—	`conf`	ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. GRaM Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024	J	`jnl`	ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024	—	`conf`	Invertible Temper Modeling using Normalizing Flows and the Effects of Structure Preserving Loss. GRaM Sylvia Howland, Keerti Sahithi Kappagantula, Henry Kvinge, Tegan Emerson
2024	—	`conf`	Preface to Geometry-grounded Representation Learning and Generative Modeling (GRaM) Workshop. GRaM Sharvaree Vadgama, Erik J. Bekkers, Alison Pouplin, Sékou-Oumar Kaba, Robin Walters, Hannah Lawrence, Tegan Emerson, Henry Kvinge, Jakub M. Tomczak, Stefanie Jegelka
2024	—	`ed.`	Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 29 July 2024, Vienna, Austria GRaM Sharvaree Vadgama, Erik J. Bekkers, Alison Pouplin, Sékou-Oumar Kaba, Robin Walters, Hannah Lawrence, Tegan Emerson, Henry Kvinge, Jakub M. Tomczak, Stefanie Jegelka
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	J	`jnl`	Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus. CoRR Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung H. Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge
2023	—	`conf`	Haldane bundles: a dataset for learning to predict the Chern number of line bundles on the torus. NeurReps Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge
2023	J	`jnl`	ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.
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`	Internal representations of vision models through the lens of frames on data manifolds. NeurReps Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson
2023	J	`jnl`	Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing. CoRR Scott Howland, Lara Kassab, Keerti Kappagantula, Henry Kvinge, Tegan Emerson
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	—	`conf`	TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data. CVPR Workshops Audun Myers, Henry Kvinge, 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`	Do Neural Networks Trained with Topological Features Learn Different Internal Representations? CoRR Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge
2022	—	`conf`	Do neural networks trained with topological features learn different internal representations? NeurReps Sarah McGuire, Shane Jackson, Tegan Emerson, Henry Kvinge
2022	—	`conf`	Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. TAG-ML Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
2022	J	`jnl`	Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. CoRR Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
2022	A*	`conf`	In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? NeurIPS Henry Kvinge, Tegan Emerson, Grayson Jorgenson, Scott Vasquez, Tim Doster, Jesse D. Lew
2022	J	`jnl`	Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them. CoRR Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson
2022	A*	`conf`	On the Symmetries of Deep Learning Models and their Internal Representations. NeurIPS Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge
2022	J	`jnl`	On the Symmetries of Deep Learning Models and their Internal Representations. CoRR Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge
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	—	`conf`	Random Filters for Enriching the Discriminatory power of Topological Representations. TAG-ML Grayson Jorgenson, Henry Kvinge, Tegan Emerson, Colin C. Olson
2022	—	`conf`	TopTemp: Parsing Precipitate Structure from Temper Topology. TAG-ML Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson
2022	J	`jnl`	TopTemp: Parsing Precipitate Structure from Temper Topology. CoRR Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson
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	J	`jnl`	A Topological Approach for Motion Track Discrimination. CoRR Tegan Emerson, Sarah Tymochko, George Stantchev, Jason A. Edelberg, Michael Wilson, Colin C. Olson
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`	Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing. CoRR Loc Truong, WoongJo Choi, Colby Wight, Lizzy Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
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
2019	J	`jnl`	Motion Segmentation via Generalized Curvatures. IEEE Trans. Pattern Anal. Mach. Intell. Robert T. Arn, Pradyumna Narayana, Tegan Emerson, Bruce A. Draper, Michael Kirby, Chris Peterson
2018	—	`conf`	Path Orthogonal Matching Pursuit for Sparse Reconstruction and Denoising of SWIR Maritime Imagery. CVPR Workshops Timothy Doster, Tegan Emerson, Colin C. Olson
2017	J	`jnl`	Persistence Images: A Stable Vector Representation of Persistent Homology. J. Mach. Learn. Res. Henry Adams, Tegan Emerson, Michael Kirby, Rachel Neville, Chris Peterson, Patrick D. Shipman, Sofya Chepushtanova, Eric M. Hanson, Francis C. Motta, Lori Ziegelmeier
2016	—	`conf`	Reduced dimension estimators in matched subspace detection. WHISPERS Tegan Emerson, Michael Kirby, Chris Peterson, Louis Scharf
2015	J	`jnl`	Fourier-ring descriptor to characterize rare circulating cells from images generated using immunofluorescence microscopy. Comput. Medical Imaging Graph. Tegan Emerson, Michael Kirby, Kelly Bethel, Anand Kolatkar, Madelyn Luttgen, Stephen O'Hara, Paul K. Newton, Peter Kuhn
2015	J	`jnl`	Persistence Images: An Alternative Persistent Homology Representation. CoRR Sofya Chepushtanova, Tegan Emerson, Eric M. Hanson, Michael Kirby, Francis C. Motta, Rachel Neville, Chris Peterson, Patrick D. Shipman, Lori Ziegelmeier