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ICML 2023 Topological Deep Learning Challenge: Design and Results.

M. Papillon, M. Hajij, A. Myers, F. Frantzen, G. Zamzmi, H. Jenne, J. Mathe, J. Hoppe, M. Schaub, T. Papamarkou, A. Guzmán-Sáenz, B. Rieck, N. Livesay, T. Dey, A. Rabinowitz, A. Brent, A. Salatiello, A. Nikitin, A. Zia, C. Battiloro, D. Gavrilev, G. Bökman, G. Magai, G. Bazhenov, G. Bernárdez, I. Spinelli, J. Agerberg, K. Nadimpalli, L. Telyatnikov, L. Scofano, L. Testa, M. Lecha, M. Yang, M. Hassanin, O. Gardaa, O. Zaghen, P. Häusner, P. Snopoff, P. Melnyk, R. Ballester, S. Barikbin, S. Escalera, S. Fiorellino, H. Kvinge, J. Meissner, K. Ramamurthy, M. Scholkemper, P. Rosen, R. Walters, S. Samaga, S. Mukherjee, S. Sanborn, T. Emerson, T. Doster, T. Birdal, V. Grande, A. Khamis, S. Scardapane, S. Singh, T. Malygina, Y. Yue, and N. Miolane. TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 3-8. PMLR, (2023)

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David Tegankong

Vanessa Emerson

Robert Emerson

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Emerson Barbosa

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Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps.E. Coda, N. Courts, C. Wight, L. Truong, W. Choi, C. Godfrey, T. Emerson, K. Kappagantula, and H. Kvinge. TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 79-85. PMLR, (2022)TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data.A. Myers, H. Kvinge, and T. Emerson. CVPR Workshops, page 600-609. IEEE, (2023)On the Symmetries of Deep Learning Models and their Internal Representations.C. Godfrey, D. Brown, T. Emerson, and H. Kvinge. NeurIPS, (2022)Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis.S. Tymochko, J. Chaput, T. Doster, E. Purvine, J. Warley, and T. Emerson. ICMLA, page 403-408. IEEE, (2021)Data-Driven Invertible Neural Surrogates of Atmospheric Transmission.J. Koch, B. Forland, B. Bernacki, T. Doster, and T. Emerson. CoRR, (2024)Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.S. Howland, L. Kassab, K. Kappagantula, H. Kvinge, and T. Emerson. CoRR, (2023)Preface.T. Doster, T. Emerson, H. Kvinge, N. Miolane, M. Papillon, B. Rieck, and S. Sanborn. TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 1-2. PMLR, (2023)TopTemp: Parsing Precipitate Structure from Temper Topology.L. Kassab, S. Howland, H. Kvinge, K. Kappagantula, and T. Emerson. TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 199-205. PMLR, (2022)Do neural networks trained with topological features learn different internal representations?S. McGuire, S. Jackson, T. Emerson, and H. Kvinge. NeurReps, volume 197 of Proceedings of Machine Learning Research, page 122-136. PMLR, (2022)ICML 2023 Topological Deep Learning Challenge: Design and Results.M. Papillon, M. Hajij, A. Myers, F. Frantzen, G. Zamzmi, H. Jenne, J. Mathe, J. Hoppe, M. Schaub, T. Papamarkou and 52 other author(s). TAG-ML, volume 221 of Proceedings of Machine Learning Research, page 3-8. PMLR, (2023)

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Disambiguation of "Emerson, Tegan"

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ICML 2023 Topological Deep Learning Challenge: Design and Results.

Please choose a person to relate this publication to

David Tegankong

Vanessa Emerson

Robert Emerson

Emerson León

Emerson Barbosa

Other publications of authors with the same name

Disambiguation

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Disambiguation of "Emerson, Tegan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ICML 2023 Topological Deep Learning Challenge: Design and Results.

Please choose a person to relate this publication to

David Tegankong

Vanessa Emerson

Robert Emerson

Emerson León

Emerson Barbosa

Other publications of authors with the same name

Disambiguation

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ICML 2023 Topological Deep Learning Challenge: Design and Results.