( en | de | ru )

 

Disambiguation of "Moyer, Daniel"

Author of the publication

copydeleteadd this publication to your clipboard
Discovery and Separation of Features for Invariant Representation Learning.

, , , , , and . CoRR, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jeanna L Moyer

Johanna Cornelia Moyers

Daniel

Daniel

Daniel Stanze

Systematische Analyse von Rezeptoren und Effektormechanismen der pulmonalen angeborenen Immunität. Uni Marburg, (2009)
 

Other publications of authors with the same name

Unsupervised record matching with noisy and incomplete data., , , , , and . CoRR, (2017)SUDS: Sanitizing Universal and Dependent Steganography., , , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 1978-1985. IOS Press, (2023)Scanner Invariant Representations for Diffusion MRI Harmonization., , , and . CoRR, (2019)Evading the Adversary in Invariant Representation., , , , and . CoRR, (2018)Bayesian Image Reconstruction using Deep Generative Models., , and . CoRR, (2020)Multimodal Representation Learning via Maximization of Local Mutual Information., , , , , , , and . MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 273-283. Springer, (2021)Zero-shot Prompt-based Video Encoder for Surgical Gesture Recognition., , , , and . CoRR, (2024)Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context., , , , , , , , , and 1 other author(s). MIDL, volume 227 of Proceedings of Machine Learning Research, page 1124-1143. PMLR, (2023)Invariant Representations through Adversarial Forgetting., , , , and . AAAI, page 4272-4279. AAAI Press, (2020)Image Classification with Consistent Supporting Evidence., , , , , and . ML4H@NeurIPS, volume 158 of Proceedings of Machine Learning Research, page 168-180. PMLR, (2021)