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Mahoney, Michael W
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1

End-to-end codesign of Hessian-aware quantized neural netwo..:

Campos, Javier ; Mitrevski, Jovan ; Tran, Nhan...
ACM Transactions on Reconfigurable Technology and Systems.  17 (2024)  3 - p. 1-22 , 2024
Link: https://doi.org/10.1145/..
 
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2

Reliable edge machine learning hardware for scientific appl..:

, In: 2024 IEEE 42nd VLSI Test Symposium (VTS),
Baldi, Tommaso ; Campos, Javier ; Hawks, Ben... - p. 1-5 , 2024
Link: https://doi.org/10.1109/..
 
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3

Learning physical models that can respect conservation laws:

Hansen, Derek ; Maddix, Danielle C. ; Alizadeh, Shima..
Physica D: Nonlinear Phenomena.  457 (2024)  - p. 133952 , 2024
Link: https://doi.org/10.1016/..
 
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4

AI and Memory Wall:

Gholami, Amir ; Yao, Zhewei ; Kim, Sehoon...
IEEE Micro.  44 (2024)  3 - p. 33-39 , 2024
Link: https://doi.org/10.1109/..
 
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5

Fully Stochastic Trust-Region Sequential Quadratic Programm..:

Fang, Yuchen ; Na, Sen ; Mahoney, Michael W..
SIAM Journal on Optimization.  34 (2024)  2 - p. 2007-2037 , 2024
Link: https://doi.org/10.1137/..
 
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6

Test Accuracy vs. Generalization Gap: Model Selection in NL..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Yang, Yaoqing ; Theisen, Ryan ; Hodgkinson, Liam... - p. 3011-3021 , 2023
Link: https://dl.acm.org/doi/1..
 
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7

Flow-Based Algorithms for Improving Clusters: A Unifying Fr..:

Fountoulakis, Kimon ; Liu, Meng ; Gleich, David F..
SIAM Review.  65 (2023)  1 - p. 59-143 , 2023
Link: https://doi.org/10.1137/..
 
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8

Learning continuous models for continuous physics:

Krishnapriyan, Aditi S. ; Queiruga, Alejandro F. ; Erichson, N. Benjamin.
Communications Physics.  6 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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9

Extensions to the SENSEI In situ Framework for Heterogeneou..:

, In: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis,
Loring, Burlen ; Bethel, E. Wes ; Weber, Gunther. - p. 868-874 , 2023
Link: https://dl.acm.org/doi/1..
 
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10

Newton-MR: Inexact Newton Method with minimum residual sub-..:

Roosta, Fred ; Liu, Yang ; Xu, Peng.
EURO Journal on Computational Optimization.  10 (2022)  - p. 100035 , 2022
Link: https://doi.org/10.1016/..
 
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11

Hessian averaging in stochastic Newton methods achieves sup..:

Na, Sen ; Dereziński, Michał ; Mahoney, Michael W.
Mathematical Programming.  201 (2022)  1-2 - p. 473-520 , 2022
Link: https://doi.org/10.1007/..
 
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12

Integer-Only Zero-Shot Quantization for Efficient Speech Re..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Kim, Sehoon ; Gholami, Amir ; Yao, Zhewei... - p. 4288-4292 , 2022
Link: https://doi.org/10.1109/..
 
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13

Hessian-Aware Pruning and Optimal Neural Implant:

, In: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Yu, Shixing ; Yao, Zhewei ; Gholami, Amir... - p. 3665-3676 , 2022
Link: https://doi.org/10.1109/..
 
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14

Inexact Newton-CG algorithms with complexity guarantees:

Yao, Zhewei ; Xu, Peng ; Roosta, Fred..
IMA Journal of Numerical Analysis.  43 (2022)  3 - p. 1855-1897 , 2022
Link: https://doi.org/10.1093/..
 
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15

Predicting trends in the quality of state-of-the-art neural..:

Martin, Charles H. ; Peng, Tongsu ; Mahoney, Michael W.
Nature Communications.  12 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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