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Andrey Gromov
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2020 – today
- 2024
- [c3]Darshil Doshi, Aritra Das, Tianyu He, Andrey Gromov:
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets. ICLR 2024 - [i10]Rylan Schaeffer, Nika Zahedi, Mikail Khona, Dhruv Pai, Sang T. Truong
, Yilun Du, Mitchell Ostrow, Sarthak Chandra, Andres Carranza, Ila Rani Fiete, Andrey Gromov, Sanmi Koyejo:
Bridging Associative Memory and Probabilistic Modeling. CoRR abs/2402.10202 (2024) - [i9]Andrey Gromov, Kushal Tirumala, Hassan Shapourian, Paolo Glorioso, Daniel A. Roberts:
The Unreasonable Ineffectiveness of the Deeper Layers. CoRR abs/2403.17887 (2024) - [i8]Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Henry Sleight, John Hughes, Tomasz Korbak, Rajashree Agrawal, Dhruv Pai, Andrey Gromov, Daniel A. Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo:
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. CoRR abs/2404.01413 (2024) - [i7]Tianyu He, Darshil Doshi, Aritra Das, Andrey Gromov:
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks. CoRR abs/2406.02550 (2024) - [i6]Darshil Doshi, Tianyu He, Aritra Das, Andrey Gromov:
Grokking Modular Polynomials. CoRR abs/2406.03495 (2024) - [i5]Rylan Schaeffer, Victor Lecomte, Dhruv Bhandarkar Pai, Andres Carranza, Berivan Isik, Alyssa Unell, Mikail Khona, Thomas E. Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo:
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations. CoRR abs/2406.09366 (2024) - 2023
- [j1]Andrey Gromov:
Deconstructing the generalization gap. Nat. Mac. Intell. 5(12): 1340-1341 (2023) - [c2]Darshil Doshi, Tianyu He, Andrey Gromov:
Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications. NeurIPS 2023 - [i4]Andrey Gromov:
Grokking modular arithmetic. CoRR abs/2301.02679 (2023) - [i3]Darshil Doshi, Aritra Das, Tianyu He, Andrey Gromov:
To grok or not to grok: Disentangling generalization and memorization on corrupted algorithmic datasets. CoRR abs/2310.13061 (2023) - 2022
- [i2]Tianyu He, Darshil Doshi, Andrey Gromov:
AutoInit: Automatic Initialization via Jacobian Tuning. CoRR abs/2206.13568 (2022) - 2021
- [i1]Darshil Doshi, Tianyu He, Andrey Gromov:
Critical initialization of wide and deep neural networks through partial Jacobians: general theory and applications to LayerNorm. CoRR abs/2111.12143 (2021)
2010 – 2019
- 2014
- [c1]Nikolay Borgest
The Concept of Automation in Conventional Systems Creation Applied to the Preliminary Aircraft Design. ACS 2014: 147-156
Coauthor Index
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