![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Andrew M. Saxe
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2023
- [j4]Timo Flesch
, David G. Nagy
, Andrew M. Saxe
, Christopher Summerfield:
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. PLoS Comput. Biol. 19(1) (2023) - 2022
- [j3]Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli
, Andrew M. Saxe
, Lenka Zdeborová:
Probing transfer learning with a model of synthetic correlated datasets. Mach. Learn. Sci. Technol. 3(1): 15030 (2022) - 2020
- [j2]Madhu S. Advani, Andrew M. Saxe
, Haim Sompolinsky:
High-dimensional dynamics of generalization error in neural networks. Neural Networks 132: 428-446 (2020) - 2006
- [j1]Anand R. Atreya, Bryan C. Cattle, Brendan M. Collins, Benjamin Essenburg, Gordon H. Franken, Andrew M. Saxe
, Scott N. Schiffres
, Alain L. Kornhauser:
Prospect Eleven: Princeton University's entry in the 2005 DARPA Grand Challenge. J. Field Robotics 23(9): 745-753 (2006)
Conference and Workshop Papers
- 2023
- [c23]Aaditya K. Singh, David Ding, Andrew M. Saxe, Felix Hill, Andrew K. Lampinen:
Know your audience: specializing grounded language models with listener subtraction. EACL 2023: 3866-3893 - [c22]Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe:
On The Specialization of Neural Modules. ICLR 2023 - [c21]Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill:
The Transient Nature of Emergent In-Context Learning in Transformers. NeurIPS 2023 - 2022
- [c20]Sebastian Lee, Stefano Sarao Mannelli
, Claudia Clopath, Sebastian Goldt, Andrew M. Saxe:
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation. ICML 2022: 12455-12477 - [c19]Andrew M. Saxe, Shagun Sodhani, Sam Jay Lewallen:
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks. ICML 2022: 19287-19309 - [c18]Lukas Braun, Clémentine Dominé, James Fitzgerald, Andrew M. Saxe:
Exact learning dynamics of deep linear networks with prior knowledge. NeurIPS 2022 - [c17]Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe:
An Analytical Theory of Curriculum Learning in Teacher-Student Networks. NeurIPS 2022 - 2021
- [c16]Sebastian Lee, Sebastian Goldt, Andrew M. Saxe:
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity. ICML 2021: 6109-6119 - 2020
- [c15]Yinan Cao, Christopher Summerfield, Andrew M. Saxe:
Characterizing emergent representations in a space of candidate learning rules for deep networks. NeurIPS 2020 - 2019
- [c14]Sebastian Goldt, Madhu Advani, Andrew M. Saxe, Florent Krzakala
, Lenka Zdeborová:
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. NeurIPS 2019: 6979-6989 - 2018
- [c13]Adam Christopher Earle, Andrew M. Saxe, Benjamin Rosman:
Hierarchical Subtask Discovery with Non-Negative Matrix Factorization. ICLR (Poster) 2018 - [c12]Andrew M. Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan D. Tracey, David D. Cox:
On the Information Bottleneck Theory of Deep Learning. ICLR (Poster) 2018 - 2017
- [c11]Andrew M. Saxe, Adam Christopher Earle, Benjamin Rosman:
Hierarchy Through Composition with Multitask LMDPs. ICML 2017: 3017-3026 - 2016
- [c10]James L. McClelland, Steven Stenberg Hansen, Andrew M. Saxe:
Tutorial Workshop on Contemporary Deep Neural Network Models. CogSci 2016 - [c9]Chuan-Yung Tsai, Andrew M. Saxe, David D. Cox:
Tensor Switching Networks. NIPS 2016: 2038-2046 - 2014
- [c8]Rachel Lee, Andrew M. Saxe:
Modeling Perceptual Learning with Deep Networks. CogSci 2014 - [c7]Andrew M. Saxe:
Deep Learning and the Brain. CogSci 2014 - [c6]Andrew M. Saxe:
Multitask model-free reinforcement learning. CogSci 2014 - [c5]Andrew M. Saxe, James L. McClelland, Surya Ganguli:
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks. ICLR 2014 - 2013
- [c4]Andrew M. Saxe, James L. McClelland, Surya Ganguli:
Learning hierarchical categories in deep neural networks. CogSci 2013 - 2011
- [c3]Andrew M. Saxe, Pang Wei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh, Andrew Y. Ng:
On Random Weights and Unsupervised Feature Learning. ICML 2011: 1089-1096 - [c2]Andrew M. Saxe, Maneesh Bhand, Ritvik Mudur, Bipin Suresh, Andrew Y. Ng:
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity. NIPS 2011: 1971-1979 - 2009
- [c1]Ian J. Goodfellow, Quoc V. Le, Andrew M. Saxe, Honglak Lee, Andrew Y. Ng:
Measuring Invariances in Deep Networks. NIPS 2009: 646-654
Informal and Other Publications
- 2024
- [i27]Loek van Rossem, Andrew M. Saxe:
When Representations Align: Universality in Representation Learning Dynamics. CoRR abs/2402.09142 (2024) - [i26]Aaditya K. Singh, Ted Moskovitz, Felix Hill, Stephanie C. Y. Chan, Andrew M. Saxe:
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation. CoRR abs/2404.07129 (2024) - [i25]Stefano Sarao Mannelli, Yaraslau Ivashinka, Andrew M. Saxe, Luca Saglietti:
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks. CoRR abs/2406.01589 (2024) - [i24]Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt, Andrew M. Saxe, Surya Ganguli:
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning. CoRR abs/2406.06158 (2024) - [i23]Jirko Rubruck, Jan P. Bauer, Andrew M. Saxe, Christopher Summerfield:
Early learning of the optimal constant solution in neural networks and humans. CoRR abs/2406.17467 (2024) - 2023
- [i22]Anika T. Löwe, Léo Touzo, Paul S. Muhle-Karbe, Andrew M. Saxe, Christopher Summerfield, Nicolas W. Schuck:
Regularised neural networks mimic human insight. CoRR abs/2302.11351 (2023) - [i21]Nishil Patel, Sebastian Lee, Stefano Sarao Mannelli, Sebastian Goldt, Andrew M. Saxe:
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions. CoRR abs/2306.10404 (2023) - [i20]Rodrigo Carrasco-Davis, Javier Masís, Andrew M. Saxe:
Meta-Learning Strategies through Value Maximization in Neural Networks. CoRR abs/2310.19919 (2023) - [i19]Aaditya K. Singh, Stephanie C. Y. Chan, Ted Moskovitz, Erin Grant, Andrew M. Saxe, Felix Hill:
The Transient Nature of Emergent In-Context Learning in Transformers. CoRR abs/2311.08360 (2023) - 2022
- [i18]Timo Flesch
, David G. Nagy, Andrew M. Saxe
, Christopher Summerfield:
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. CoRR abs/2203.11560 (2022) - [i17]Sebastian Lee, Stefano Sarao Mannelli, Claudia Clopath, Sebastian Goldt, Andrew M. Saxe:
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation. CoRR abs/2205.09029 (2022) - [i16]Aaditya K. Singh, David Ding, Andrew M. Saxe
, Felix Hill, Andrew K. Lampinen:
Know your audience: specializing grounded language models with the game of Dixit. CoRR abs/2206.08349 (2022) - [i15]Andrew M. Saxe
, Shagun Sodhani, Sam Jay Lewallen:
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks. CoRR abs/2207.10430 (2022) - [i14]Timo Flesch, Andrew M. Saxe
, Christopher Summerfield:
Continual task learning in natural and artificial agents. CoRR abs/2210.04520 (2022) - 2021
- [i13]Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová:
Probing transfer learning with a model of synthetic correlated datasets. CoRR abs/2106.05418 (2021) - [i12]Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe:
An Analytical Theory of Curriculum Learning in Teacher-Student Networks. CoRR abs/2106.08068 (2021) - [i11]Sebastian Lee, Sebastian Goldt, Andrew M. Saxe:
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity. CoRR abs/2107.04384 (2021) - 2019
- [i10]Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová:
Generalisation dynamics of online learning in over-parameterised neural networks. CoRR abs/1901.09085 (2019) - [i9]Sebastian Goldt
, Madhu S. Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová:
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. CoRR abs/1906.08632 (2019) - 2018
- [i8]Yao Zhang, Andrew M. Saxe, Madhu S. Advani, Alpha A. Lee:
Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning. CoRR abs/1803.01927 (2018) - [i7]Yamini Bansal, Madhu Advani, David D. Cox, Andrew M. Saxe:
Minnorm training: an algorithm for training over-parameterized deep neural networks. CoRR abs/1806.00730 (2018) - [i6]Andrew M. Saxe, James L. McClelland, Surya Ganguli:
A mathematical theory of semantic development in deep neural networks. CoRR abs/1810.10531 (2018) - 2017
- [i5]Adam Christopher Earle, Andrew M. Saxe, Benjamin Rosman:
Hierarchical Subtask Discovery With Non-Negative Matrix Factorization. CoRR abs/1708.00463 (2017) - [i4]Madhu S. Advani, Andrew M. Saxe:
High-dimensional dynamics of generalization error in neural networks. CoRR abs/1710.03667 (2017) - 2016
- [i3]Tommaso Furlanello, Jiaping Zhao, Andrew M. Saxe, Laurent Itti, Bosco S. Tjan:
Active Long Term Memory Networks. CoRR abs/1606.02355 (2016) - [i2]Chuan-Yung Tsai, Andrew M. Saxe, David D. Cox:
Tensor Switching Networks. CoRR abs/1610.10087 (2016) - [i1]Andrew M. Saxe, Adam Christopher Earle, Benjamin Rosman:
Hierarchy through Composition with Linearly Solvable Markov Decision Processes. CoRR abs/1612.02757 (2016)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-27 17:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint