Yannis G. Kevrekidis

19 papers A* 2C 2Misc 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data-Driven, ML-assisted Approaches to Problem Well-Posedness. CoRR Tom Bertalan, George A. Kevrekidis, Eleni D. Koronaki, Siddhartha Mishra, Elizaveta Rebrova, Yannis G. Kevrekidis
2025	J	`jnl`	The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS). CoRR Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia S. Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutierrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang
2025	J	`jnl`	Towards Coordinate- and Dimension-Agnostic Machine Learning for Partial Differential Equations. CoRR Trung V. Phan, George A. Kevrekidis, Soledad Villar, Yannis G. Kevrekidis, Juan M. Bello-Rivas
2024	J	`jnl`	Conformal Disentanglement: A Neural Framework for Perspective Synthesis and Differentiation. CoRR George A. Kevrekidis, Eleni D. Koronaki, Yannis G. Kevrekidis
2024	A*	`conf`	Identifying Equivalent Training Dynamics. NeurIPS William T. Redman, Juan M. Bello-Rivas, Maria Fonoberova, Ryan Mohr, Yannis G. Kevrekidis, Igor Mezic
2024	J	`jnl`	Thinner Latent Spaces: Detecting dimension and imposing invariance through autoencoder gradient constraints. CoRR George A. Kevrekidis, Mauro Maggioni, Soledad Villar, Yannis G. Kevrekidis
2023	J	`jnl`	A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN). CoRR Jennifer Sleeman, David Chung, Anand Gnanadesikan, Jay Brett, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Chace Ashcraft, Caroline Tang, Anshu Saksena, Larry White
2023	J	`jnl`	Accurate and efficient multiscale simulation of a heterogeneous elastic beam via computation on small sparse patches. CoRR Anthony J. Roberts, Thien Tran-Duc, Judith E. Bunder, Yannis G. Kevrekidis
2023	J	`jnl`	Benchmarking optimality of time series classification methods in distinguishing diffusions. CoRR Zehong Zhang, Fei Lu, Esther Xu Fei, Terry Lyons, Yannis G. Kevrekidis, Tom Woolf
2023	—	`conf`	Certified Invertibility in Neural Networks via Mixed-Integer Programming. L4DC Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Yannis G. Kevrekidis, Mahyar Fazlyab
2023	J	`jnl`	Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points. CoRR Jennifer Sleeman, David Chung, Chace Ashcraft, Jay Brett, Anand Gnanadesikan, Yannis G. Kevrekidis, Marisa Hughes, Thomas W. N. Haine, Marie-Aude Pradal, Renske Gelderloos, Caroline Tang, Anshu Saksena, Larry White
2022	A*	`conf`	An Operator Theoretic View On Pruning Deep Neural Networks. ICLR William T. Redman, Maria Fonoberova, Ryan Mohr, Yannis G. Kevrekidis, Igor Mezic
2022	J	`jnl`	Unsupervised learning of observation functions in state-space models by nonparametric moment methods. CoRR Qingci An, Yannis G. Kevrekidis, Fei Lu, Mauro Maggioni
2021	—	`conf`	Applications of Koopman Mode Analysis to Neural Networks. AAAI Spring Symposium: MLPS Ryan Mohr, Maria Fonoberova, Iva Manojlovic, Aleksandr Andrejcuk, Zlatko Drmac, Yannis G. Kevrekidis, Igor Mezic
2020	J	`jnl`	Applications of Koopman Mode Analysis to Neural Networks. CoRR Iva Manojlovic, Maria Fonoberova, Ryan Mohr, Aleksandr Andrejcuk, Zlatko Drmac, Yannis G. Kevrekidis, Igor Mezic
2013	Misc	`conf`	Equation-Free Computations as DDDAS Protocols in the Study of Engineered Granular Crystals. ICCS Matthew O. Williams, F. Li, P. G. Kevrekidis, Chiara Daraio, Yannis G. Kevrekidis
2010	J	`jnl`	Equation-free modeling. Scholarpedia Yannis G. Kevrekidis, Giovanni Samaey
2005	C	`conf`	Model-based control methodologies for catalytic surface reactions. ACC Ethan A. Mastny, James B. Rawlings, Yannis G. Kevrekidis
2003	C	`conf`	Nonlinear order reduction of discretized cell population models. ACC Yongchun Zhang, Michael A. Henson, Yannis G. Kevrekidis