Gaurav Malhotra
Gaurav Malhotra
Research Fellow, School of Psychological Sciences, University of Bristol
Verified email at
Cited by
Cited by
On the persistence of structural priming: Mechanisms of decay and influence of word-forms
G Malhotra, M Pickering, H Branigan, JA Bednar
proceedings of the annual meeting of the cognitive science society 30 (30), 2008
Time-varying decision boundaries: insights from optimality analysis
G Malhotra, DS Leslie, CJH Ludwig, R Bogacz
Psychonomic bulletin & review 25, 971-996, 2018
Increasing compliance with low tidal volume ventilation in the ICU with two nudge-based interventions: evaluation through intervention time-series analyses
CP Bourdeaux, MJC Thomas, TH Gould, G Malhotra, A Jarvstad, T Jones, ...
BMJ open 6 (5), e010129, 2016
The role of disentanglement in generalisation
ML Montero, CJH Ludwig, RP Costa, G Malhotra, J Bowers
International Conference on Learning Representations, 2020
Deep problems with neural network models of human vision
JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, ...
Behavioral and Brain Sciences, 1-74, 2022
Overcoming indecision by changing the decision boundary.
G Malhotra, DS Leslie, CJH Ludwig, R Bogacz
Journal of Experimental Psychology: General 146 (6), 776, 2017
What do adversarial images tell us about human vision?
M Dujmović, G Malhotra, JS Bowers
Elife 9, e55978, 2020
Hiding a plane with a pixel: examining shape-bias in CNNs and the benefit of building in biological constraints
G Malhotra, BD Evans, JS Bowers
Vision Research 174, 57-68, 2020
Role of content in solving the binding problem in working memory
G Malhotra
Doctoral dissertation, University of Edinburgh School of Informatics …, 2003
Dynamics of structural priming
G Malhotra
Biological convolutions improve DNN robustness to noise and generalisation
BD Evans, G Malhotra, JS Bowers
Neural Networks 148, 96-110, 2022
Feature blindness: a challenge for understanding and modelling visual object recognition
G Malhotra, M Dujmović, JS Bowers
PLOS Computational Biology 18 (5), e1009572, 2022
Some pitfalls of measuring representational similarity using Representational Similarity Analysis
M Dujmović, JS Bowers, F Adolfi, G Malhotra
bioRxiv, 2022.04. 05.487135, 2022
Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation
M Montero, J Bowers, R Ponte Costa, C Ludwig, G Malhotra
Advances in Neural Information Processing Systems 35, 10136-10149, 2022
Lost in latent space: Disentangled models and the challenge of combinatorial generalisation
ML Montero, JS Bowers, RP Costa, CJH Ludwig, G Malhotra
arXiv preprint arXiv:2204.02283, 2022
Human shape representations are not an emergent property of learning to classify objects.
G Malhotra, M Dujmović, J Hummel, JS Bowers
Journal of Experimental Psychology: General, 2023
Adding biological constraints to deep neural networks reduces their capacity to learn unstructured data.
C Tsvetkov, G Malhotra, B Evans, JS Bowers
CogSci, 2020
What a difference a pixel makes: An empirical examination of features used by CNNs for categorisation
G Malhotra, J Bowers
The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data
C Tsvetkov, G Malhotra, BD Evans, JS Bowers
Neural Networks 161, 515-524, 2023
Adding biological constraints to CNNs makes image classification more human-like and robust
G Malhotra, B Evans, J Bowers
2019 Conference on Cognitive Computational Neuroscience. 2019 Conference on …, 2019
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