See also Google Scholar, ResearchGate, Semantic Scholar or dblp.
My ORCID is 0000000240601738.
Preprints

Risk and cross validation in ridge regression with correlated samples
Atanasov, A. B.*, ZavatoneVeth, J. A.*, and Pehlevan, C. (*equal contributions)
[arXiv] 
NadarayaWatson kernel smoothing as a random energy model
ZavatoneVeth, J. A., and Pehlevan, C.
[arXiv] 
Spectral regularization for adversariallyrobust representation learning
Yang, S., ZavatoneVeth, J. A., and Pehlevan, C.
[arXiv] [code] 
Partial observation can induce mechanistic mismatches in dataconstrained models of neural dynamics
Qian, W., ZavatoneVeth, J. A., Ruben, B. S., and Pehlevan, C.
[bioRxiv] 
Asymptotic theory of incontext learning by linear attention
Lu, Y. M., Letey, M. I., ZavatoneVeth, J. A.*, Maiti, A.*, and Pehlevan, C.
[arXiv] [code] 
Scaling and renormalization in highdimensional regression
Atanasov, A. B., ZavatoneVeth, J. A., and Pehlevan, C.
[arXiv] [code] 
Neural networks learn to magnify areas near decision boundaries
ZavatoneVeth, J. A., Yang, S., Rubinfien, J. A., and Pehlevan, C.
[arXiv] [code]
Articles
2024
 Statistical mechanics of Bayesian inference and learning in neural networks
ZavatoneVeth, J. A.
PhD dissertation, Department of Physics, Harvard University.
[ProQuest] [Harvard DASH]
2023

Long Sequence Hopfield Memory
Chaudhry, H. T., ZavatoneVeth, J. A., Krotov, D., and Pehlevan, C.
Associative Memory and Hopfield Networks Workshop Oral, NeurIPS (2023)
[OpenReview] 
Neural circuits for fast Poisson compressed sensing in the olfactory bulb
ZavatoneVeth, J. A.*, Masset, P.*, Tong, W. L., Zak, J. D., Murthy, V. N.^{#}, and Pehlevan, C.^{#} (*,^{#}equal contributions)
Advances in Neural Information Processing Systems (NeurIPS) 36. (2023)
[link] [OpenReview] [bioRxiv] [code] 
Long Sequence Hopfield Memory
Chaudhry, H. T., ZavatoneVeth, J. A., Krotov, D., and Pehlevan, C.
Advances in Neural Information Processing Systems (NeurIPS) 36. (2023)
[link] [OpenReview] [arXiv] [code] 
Learning curves for deep structured Gaussian feature models
ZavatoneVeth, J. A., and Pehlevan, C.
Advances in Neural Information Processing Systems (NeurIPS) 36. (2023)
[link] [OpenReview] [arXiv] 
Replica method for eigenvalues of real Wishart product matrices
ZavatoneVeth, J. A., and Pehlevan, C.
SciPost Physics Core 6 (2): 026. (2023)
[link] [arXiv]
2022

Asymptotics of representation learning in finite Bayesian neural networks
ZavatoneVeth, J. A., Canatar, A., Ruben, B. S., and Pehlevan, C.
Journal of Statistical Mechanics: Theory and Experiment 114008. (2022)
[link]
Invited contribution to the Machine Learning 2022 special issue; updated version of our NeurIPS paper. 
Contrasting random and learned features in deep Bayesian linear regression
ZavatoneVeth, J. A., Tong, W. L., and Pehlevan, C.
Machine Learning and the Physical Sciences Workshop, NeurIPS. (2022)
[link] 
Training shapes the curvature of shallow neural network representations
ZavatoneVeth, J. A.*, Rubinfien, J. A.*, and Pehlevan, C. (*equal contributions)
Symmetry and Geometry in Neural Representations (NeurReps) Workshop, NeurIPS. (2022)
[OpenReview] 
Natural gradient enables fast sampling in spiking neural networks
Masset, P.*, ZavatoneVeth, J. A.*, Connor, J. P., Murthy, V. N.^{#}, and Pehlevan, C.^{#} (*,^{#}equal contributions)
Advances in Neural Information Processing Systems (NeurIPS) 35. (2022)
[link] [OpenReview] [bioRxiv] [code] 
Excitatory and inhibitory neural dynamics jointly tune motion detection
GonzalezSuarez, A. D., ZavatoneVeth, J. A., Chen, J., Matulis, C., Badwan, B. A., and Clark, D. A.
Current Biology 32 (17) 36593675. (2022)
[link] [bioRxiv] [code] 
Contrasting random and learned features in deep Bayesian linear regression
ZavatoneVeth, J. A., Tong, W. L., and Pehlevan, C.
Physical Review E 105 (6): 064118. (2022)
[link] [arXiv] 
On neural network kernels and the storage capacity problem
ZavatoneVeth, J. A., and Pehlevan, C.
Neural Computation 34 (5): 1136–1142. (2022)
[link] [arXiv] 
Parallel locomotor control strategies in mice and flies
Gonçalves, A. I.*, ZavatoneVeth, J. A.*, Carey, M. R.^{#}, and Clark, D. A.^{#} (*,^{#}equal contributions)
Current Opinion in Neurobiology 73: 102516. (2022)
[link] [arXiv] 
Drifting neuronal representations: Bug or feature?
Masset, P.*, Qin, S.*, and ZavatoneVeth, J. A.* (*equal contributions)
Biological Cybernetics 116: 253266. (2022)
[link]
2021

Depth induces scaleaveraging in overparameterized linear Bayesian neural networks
ZavatoneVeth, J. A., and Pehlevan, C.
55th Asilomar Conference on Signals, Systems, and Computers. (2021)
[link] [arXiv] 
Asymptotics of representation learning in finite Bayesian neural networks
ZavatoneVeth, J. A., Canatar, A., Ruben, B. S., and Pehlevan, C.
Advances in Neural Information Processing Systems (NeurIPS) 34. (2021)
[link] [OpenReview] [arXiv] [code] 
Exact marginal prior distributions of finite Bayesian neural networks
ZavatoneVeth, J. A., and Pehlevan, C.
Advances in Neural Information Processing Systems (NeurIPS) 34 Spotlight. (2021)
[link] [OpenReview] [arXiv] [code] 
Activation function dependence of the storage capacity of treelike neural networks
ZavatoneVeth, J. A., and Pehlevan, C.
Physical Review E (Letter) 103 (2): L020301. (2021)
[link] [arXiv]
2020

Statistical structure of the trialtotrial timing variability in synfire chains
Obeid, D., ZavatoneVeth, J. A., and Pehlevan, C.
Physical Review E 102 (5): 052406. (2020)
[link] [bioRxiv] 
Spatiotemporally precise optogenetic activation of sensory neurons in freely walking Drosophila
DeAngelis, B. D.*, ZavatoneVeth, J. A.*, GonzalezSuarez, A. D., and Clark, D. A. (*equal contributions)
eLife 9: e54183. (2020)
[link] [code] 
A minimal synaptic model for direction selective neurons in Drosophila
ZavatoneVeth, J. A., Badwan, B. A., and Clark, D. A.
Journal of Vision 20 (2): 2. (2020)
[link] [bioRxiv] [code]
2019

Using slow frame rate imaging to extract fast receptive fields
Mano, O., Creamer, M. S., Matulis, C. A., SalazarGatzimas, E., Chen, J., ZavatoneVeth, J. A., and Clark, D. A.
Nature Communications 10: 4979. (2019)
[link] [code] 
Dynamic nonlinearities enable direction opponency in Drosophila elementary motion detectors
Badwan, B. A., Creamer, M. S., ZavatoneVeth, J. A., and Clark, D. A.
Nature Neuroscience 22: 1318–1326. (2019)
[link] [code] 
The manifold structure of limb coordination in walking Drosophila
DeAngelis, B. D.*, ZavatoneVeth, J. A.*, and Clark, D. A. (*equal contributions)
eLife 8: e46409. (2019)
[link] [erratum] [code]