| 2026 | AAAI | A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation. | Shanshan Qin, Joshua Pughe-Sanford, Alexander Genkin, Pembe Gizem zdil, Philip Greengard, Anirvan M. Sengupta, Dmitri B. Chklovskii |
| 2023 | ICASSP | An Online Algorithm for Contrastive Principal Component Analysis. | Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii |
| 2023 | ICLR | Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. | David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii |
| 2023 | ICML | Adaptive Whitening in Neural Populations with Gain-modulating Interneurons. | Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli |
| 2019 | ICANN | A Neural Network for Semi-supervised Learning on Manifolds. | Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii |
| 2019 | ICASSP | Strip the Stripes: Artifact Detection and Removal for Scanning Electron Microscopy Imaging. | Amirhossein Khalilian-Gourtani, Mariano Tepper, Victor Minden, Dmitri B. Chklovskii |
| 2018 | ACSSC | Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics. | Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii |
| 2017 | ACSSC | A clustering neural network model of insect olfaction. | Cengiz Pehlevan, Alexander Genkin, Dmitri B. Chklovskii |
| 2016 | ACSSC | Do retinal ganglion cells project natural scenes to their principal subspace and whiten them? | Reza Abbasi-Asl, Cengiz Pehlevan, Bin Yu, Dmitri B. Chklovskii |
| 2016 | ACSSC | Self-calibrating neural networks for dimensionality reduction. | Yuansi Chen, Cengiz Pehlevan, Dmitri B. Chklovskii |
| 2015 | ICASSP | Online computation of sparse representations of time varying stimuli using a biologically motivated neural network. | Tao Hu, Dmitri B. Chklovskii |
| 2014 | ACSSC | A Hebbian/Anti-Hebbian network for online sparse dictionary learning derived from symmetric matrix factorization. | Tao Hu, Cengiz Pehlevan, Dmitri B. Chklovskii |
| 2014 | ACSSC | A Hebbian/Anti-Hebbian network derived from online non-negative matrix factorization can cluster and discover sparse features. | Cengiz Pehlevan, Dmitri B. Chklovskii |
| 2014 | ICASSP | Sparse LMS via online linearized Bregman iteration. | Tao Hu, Dmitri B. Chklovskii |
| 2013 | ACSSC | A neuron as a signal processing device. | Tao Hu, Zaid J. Towfic, Cengiz Pehlevan, Alex V. Genkin, Dmitri B. Chklovskii |
| 2010 | CVPR | Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction. | Ashok Veeraraghavan, Alex V. Genkin, Shiv Naga Prasad Vitaladevuni, Lou Scheffer, Shan Xu, Harald F. Hess, Richard Fetter, Marco Cantoni, Graham Knott, Dmitri B. Chklovskii |