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2020 – today
- 2024
[i5]Jake Fawkes, Nic Fishman, Mel Andrews, Zachary C. Lipton:
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning. CoRR abs/2410.09600 (2024)- 2023
- [j2]Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva
, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec:
Human mobility networks reveal increased segregation in large cities. Nat. 624(7992): 586-592 (2023) - [j1]Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson:
Diffusion Models for Constrained Domains. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Nic Fishman, Leo Klarner, Emile Mathieu, Michael J. Hutchinson, Valentin De Bortoli:
Metropolis Sampling for Constrained Diffusion Models. NeurIPS 2023 - [i4]Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson:
Diffusion Models for Constrained Domains. CoRR abs/2304.05364 (2023) - [i3]Nic Fishman, Leo Klarner, Emile Mathieu, Michael J. Hutchinson, Valentin De Bortoli:
Metropolis Sampling for Constrained Diffusion Models. CoRR abs/2307.05439 (2023) - 2022
- [c1]Nic Fishman, Leif Hancox-Li:
Should attention be all we need? The epistemic and ethical implications of unification in machine learning. FAccT 2022: 1516-1527 - [i2]Nic Fishman, Leif Hancox-Li:
Should attention be all we need? The epistemic and ethical implications of unification in machine learning. CoRR abs/2205.08377 (2022) - [i1]Hamed Nilforoshan, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, Jure Leskovec:
Human interaction networks reveal that large cities facilitate segregation. CoRR abs/2210.07414 (2022)
Coauthor Index
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