Siavash Golkar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Canonical Correlation Analysis

Biologically Plausible

Top Venues

Publications

Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg, Miles D. Cranmer, Keiya Hirashima, Géraud Krawezik, Nicholas Lourie, Michael McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Shirley Ho
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. CoRR (2024)
Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii
Neuronal Temporal Filters as Normal Mode Extractors. CoRR (2024)
Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Holden Parker, Ruben Ohana, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Géraud Krawezik, François Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
Multiple Physics Pretraining for Physical Surrogate Models. CoRR (2023)
Siavash Golkar, Mariel Pettee, Michael Eickenberg, Alberto Bietti, Miles D. Cranmer, Géraud Krawezik, François Lanusse, Michael McCabe, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
xVal: A Continuous Number Encoding for Large Language Models. CoRR (2023)
Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
An Online Algorithm for Contrastive Principal Component Analysis. ICASSP (2023)
François Lanusse, Liam Holden Parker, Siavash Golkar, Miles D. Cranmer, Alberto Bietti, Michael Eickenberg, Géraud Krawezik, Michael McCabe, Ruben Ohana, Mariel Pettee, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models. CoRR (2023)
David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity. CoRR (2023)
Christian Pedersen, Tiberiu Tesileanu, Tinghui Wu, Siavash Golkar, Miles D. Cranmer, Zijun Zhang, Shirley Ho
Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures. CoRR (2023)
Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy. NeurIPS (2022)
Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii
Biological Learning of Irreducible Representations of Commuting Transformations. NeurIPS (2022)
Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
An online algorithm for contrastive Principal Component Analysis. CoRR (2022)
Tiberiu Tesileanu, Siavash Golkar, Samaneh Nasiri, Anirvan M. Sengupta, Dmitri B. Chklovskii
Neural Circuits for Dynamics-Based Segmentation of Time Series. Neural Comput. 34 (4) (2022)
David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. Neural Comput. 33 (9) (2021)
Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
Neural optimal feedback control with local learning rules. NeurIPS (2021)
Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
Neural optimal feedback control with local learning rules. CoRR (2021)
David Lipshutz, Charlie Windolf, Siavash Golkar, Dmitri B. Chklovskii
A biologically plausible neural network for Slow Feature Analysis. CoRR (2020)
David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR (2020)
David Lipshutz, Charles Windolf, Siavash Golkar, Dmitri B. Chklovskii
A Biologically Plausible Neural Network for Slow Feature Analysis. NeurIPS (2020)
Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
A biologically plausible neural network for local supervision in cortical microcircuits. CoRR (2020)
Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
A simple normative network approximates local non-Hebbian learning in the cortex. NeurIPS (2020)
Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
A simple normative network approximates local non-Hebbian learning in the cortex. CoRR (2020)
Siavash Golkar, Kyunghyun Cho
Task-Driven Data Verification via Gradient Descent. CoRR (2019)
Siavash Golkar
Emergent Structures and Lifetime Structure Evolution in Artificial Neural Networks. CoRR (2019)
Siavash Golkar, Michael Kagan, Kyunghyun Cho
Continual Learning via Neural Pruning. CoRR (2019)
Siavash Golkar, Kyle Cranmer
Backdrop: Stochastic Backpropagation. CoRR (2018)