Selected publications
For a full list of recent work, check out Google Scholar.
2023 • Neuron
Interpreting the retinal neural code for natural scenes: From computations to neurons
Niru Maheswaranathan*, Lane T. Mcintosh*, Hidenori Tanaka*, Satchel Grant*, David B. Kastner, Joshua B. Melander, Aran Nayebi, Luke E. Brezovec, Julia H. Wang, Surya Ganguli, Stephen A. Baccus
2021 • ICLR
The geometry of integration in text classification RNNs
Kyle Aitken*, Vinay Ramasesh*, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan
2020 • arXiv
Reverse engineering learned optimizers reveals known and novel mechanisms
Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl-Dickstein
2020 • ICML
How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan*, David Sussillo*
2020 • NEURON
Discovering precise temporal patterns in large-scale neural recordings through robust and interpretable time warping
Alex H. Williams, Ben Poole, Niru Maheswaranathan, Ashesh K. Dhawale, Tucker Fisher, Christopher D. Wilson, David H. Brann, Eric Trautmann, Stephen Ryu, Roman Shusterman, Dmitry Rinberg, Bence P. Olveczky, Krishna V. Shenoy, Surya Ganguli
2019 • NeurIPS
Universality and individuality in neural dynamics across large populations of recurrent networks
Niru Maheswaranathan*, Alex H. Williams*, Matthew D. Golub, Surya Ganguli, David Sussillo
2019 • NeurIPS
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Niru Maheswaranathan*, Alex H. Williams*, Matthew D. Golub, Surya Ganguli, David Sussillo
2019 • ICML
Guided evolutionary strategies: augmenting random search with surrogate gradients
Niru Maheswaranathan, Luke Metz, George Tucker, Dami Choi, Jascha Sohl-Dickstein
2018 • PLoS Computational Biology
Inferring hidden structure in multilayered neural circuits
Niru Maheswaranathan, David B. Kastner, Stephen A. Baccus, Surya Ganguli
