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Jeffrey S. Bowers
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Journal Articles
- 2023
- [j9]Jeffrey S. Bowers
, Gaurav Malhotra
On the importance of severely testing deep learning models of cognition. Cogn. Syst. Res. 82: 101158 (2023) - [j8]Christian Tsvetkov
The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data. Neural Networks 161: 515-524 (2023) - [j7]Federico Adolfi
Successes and critical failures of neural networks in capturing human-like speech recognition. Neural Networks 162: 199-211 (2023) - 2022
- [j6]Benjamin D. Evans
Biological convolutions improve DNN robustness to noise and generalisation. Neural Networks 148: 96-110 (2022) - [j5]Valerio Biscione
Learning online visual invariances for novel objects via supervised and self-supervised training. Neural Networks 150: 222-236 (2022) - [j4]Gaurav Malhotra
Feature blindness: A challenge for understanding and modelling visual object recognition. PLoS Comput. Biol. 18(5) (2022) - 2021
- [j3]Valerio Biscione, Jeffrey S. Bowers:
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be. J. Mach. Learn. Res. 22: 229:1-229:28 (2021) - 2011
- [j2]Jeffrey S. Bowers:
What is a grandmother cell? And how would you know if you found one? Connect. Sci. 23(2): 91-95 (2011) - 2009
- [j1]Jeffrey S. Bowers, Colin J. Davis
Learning Representations of Wordforms With Recurrent Networks: Comment on. Cogn. Sci. 33(7): 1183-1186 (2009)
Conference and Workshop Papers
- 2022
- [c13]Milton Llera Montero, Jeffrey S. Bowers, Rui Ponte Costa, Casimir J. H. Ludwig, Gaurav Malhotra:
Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation. NeurIPS 2022 - 2021
- [c12]Guillermo Puebla, Jeffrey S. Bowers:
Can Deep Convolutional Neural Networks Learn Same-Different Relations? CogSci 2021 - [c11]Milton Llera Montero, Casimir J. H. Ludwig, Rui Ponte Costa, Gaurav Malhotra, Jeffrey S. Bowers:
The role of Disentanglement in Generalisation. ICLR 2021 - 2020
- [c10]Christian Tsvetkov, Gaurav Malhotra, Benjamin Evans, Jeffrey S. Bowers:
Adding biological constraints to deep neural networks reduces their capacity to learn unstructured data. CogSci 2020 - [c9]Jeff Mitchell, Jeffrey S. Bowers
Priorless Recurrent Networks Learn Curiously. COLING 2020: 5147-5158 - [c8]Jeff Mitchell, Jeffrey S. Bowers
Harnessing the Symmetry of Convolutions for Systematic Generalisation. IJCNN 2020: 1-8 - 2019
- [c7]Ryan Blything, Ivan Vankov, Casimir J. H. Ludwig, Jeffrey S. Bowers:
Translation Tolerance in Vision. CogSci 2019: 1416-1421 - [c6]Ella Gale, Ryan Blything, Nicholas Martin, Jeffrey S. Bowers, Anh Nguyen:
Selectivity metrics provide misleading estimates of the selectivity of single units in neural networks. CogSci 2019: 1808-1814 - [c5]Gaurav Malhotra, Jeffrey S. Bowers:
The contrasting roles of shape in human vision and convolutional neural networks. CogSci 2019: 2261-2267 - 2017
- [c4]Jeffrey S. Bowers:
Using single unit recordings in PDP and localist models to better understand how knowledge is coded in the cortex. CogSci 2017 - 2013
- [c3]Nora Andermane, Jeffrey S. Bowers:
The Effect of Test Format on Visual Recognition Memory Performance. CogSci 2013 - [c2]Nicolas Dumay, Jeffrey S. Bowers:
Do voices survive lexical consolidation? CogSci 2013 - [c1]Ivan Vankov, Jeffrey S. Bowers:
When do PDP neural networks learn localist representations? CogSci 2013
Informal and Other Publications
- 2024
- [i15]Guillermo Puebla, Jeffrey S. Bowers:
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach. CoRR abs/2402.12675 (2024) - [i14]Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmovic, Milton Llera Montero, Guillermo Puebla, Federico Adolfi, Rachel F. Heaton, John E. Hummel, Benjamin D. Evans, Karim Habashy, Jeffrey S. Bowers:
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments. CoRR abs/2404.05290 (2024) - [i13]Karim Habashy, Benjamin D. Evans, Dan F. M. Goodman, Jeffrey S. Bowers:
Adapting to time: why nature evolved a diverse set of neurons. CoRR abs/2404.14325 (2024) - 2023
- [i12]Dong Yin, Valerio Biscione, Jeffrey S. Bowers:
Convolutional Neural Networks Trained to Identify Words Provide a Good Account of Visual Form Priming Effects. CoRR abs/2302.03992 (2023) - [i11]Guillermo Puebla, Jeffrey S. Bowers:
The role of object-centric representations, guided attention, and external memory on generalizing visual relations. CoRR abs/2304.07091 (2023) - 2022
- [i10]Valerio Biscione, Jeffrey S. Bowers:
Do DNNs trained on Natural Images acquire Gestalt Properties? CoRR abs/2203.07302 (2022) - [i9]Milton Llera Montero, Jeffrey S. Bowers, Rui Ponte Costa, Casimir J. H. Ludwig, Gaurav Malhotra:
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation. CoRR abs/2204.02283 (2022) - [i8]Federico Adolfi, Jeffrey S. Bowers, David Poeppel:
Successes and critical failures of neural networks in capturing human-like speech recognition. CoRR abs/2204.03740 (2022) - 2021
- [i7]Jeff Mitchell, Jeffrey S. Bowers:
Generalisation in Neural Networks Does not Require Feature Overlap. CoRR abs/2107.06872 (2021) - [i6]Valerio Biscione, Jeffrey S. Bowers:
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training. CoRR abs/2110.01476 (2021) - [i5]Valerio Biscione, Jeffrey S. Bowers:
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be. CoRR abs/2110.05861 (2021) - 2020
- [i4]Ella M. Gale, Nicholas Martin, Ryan Blything, Anh Nguyen, Jeffrey S. Bowers:
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes? CoRR abs/2007.01062 (2020) - [i3]Valerio Biscione, Jeffrey S. Bowers:
Learning Translation Invariance in CNNs. CoRR abs/2011.11757 (2020) - 2019
- [i2]Ivan Vankov, Jeffrey S. Bowers:
Out-of-the box neural networks can support combinatorial generalization. CoRR abs/1903.12354 (2019) - 2018
- [i1]Ella M. Gale
When and where do feed-forward neural networks learn localist representations? CoRR abs/1806.03934 (2018)
Coauthor Index
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