# Publications

Training shapes the curvature of shallow neural network representations,” in NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022. PDF

, “ Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?” in NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations (Oral), 2022. PDF

, “ Dynamical Mean Field Theory of Kernel Evolution in Wide Neural Networks,” in NeurIPS 2022 workshop on Machine Learning and the Physical Sciences, 2022. PDF

, “ Contrasting random and learned features in deep Bayesian linear regression,” in NeurIPS 2022 workshop on Machine Learning and the Physical Sciences, 2022. PDF

, “ Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation,” arXiv preprint arXiv:2210.04222, 2022.

, “ A Kernel Analysis of Feature Learning in Deep Neural Networks,” 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton). 2022. PDF

, “ The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks,” arXiv preprint arXiv:2210.02157, 2022.

, “ Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation ,” arXiv preprint arXiv:2209.10634, 2022.

, “ Replica method for eigenvalues of real Wishart product matrices ,” arXiv preprint arXiv:2209.10499, 2022.

, “ Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources,” in Advances in Neural Information Processing Systems (NeurIPS) (Oral), 2022. PDF

, “ Coordinated drift of receptive fields during noisy representation learning,” Nature Neuroscience (in press), 2022.

, “ Asymptotics of representation learning in finite Bayesian neural networks,” J Stat Mech: Theory and Experiments , pp. 114008, 2022. PDF

, “ Bandwidth Enables Generalization in Quantum Kernel Models ,” arXiv preprint arXiv:2206.06686 , 2022.

, “ Natural gradient enables fast sampling in spiking neural networks,” in Advances in Neural Information Processing Systems (NeurIPS), 2022. PDF

, “ Functional imaging and quantification of multi-neuronal olfactory responses in

, “*C. elegans*,” biorXiv 10.1101/2022.05.27.493772, 2022. Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks,” in Advances in Neural Information Processing Systems (NeurIPS), 2022. PDF

, “ Biologically plausible single-layer networks for nonnegative independent component analysis,” Biological Cybernetics , 2022. PDF

, “ Contrasting random and learned features in deep Bayesian linear regression,” Physical Review E, vol. 105, no. 6, pp. 064118, 2022. PDF

, “ On neural network kernels and the storage capacity problem,” Neural Computation, vol. 34, no. 5, pp. 1136-1142, 2022. PDF

, “ Neural Networks as Kernel Learners: The Silent Alignment Effect,” in International Conference on Learning Representations (ICLR), 2022. PDF

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