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ORCIDSiavash Golkar
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2020 – today
- 2024
[i17]Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii:
Neuronal Temporal Filters as Normal Mode Extractors. CoRR abs/2401.03248 (2024)- [i16]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 abs/2406.02585 (2024) - 2023
- [c6]Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii:
An Online Algorithm for Contrastive Principal Component Analysis. ICASSP 2023: 1-5 - [i15]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 abs/2302.10051 (2023) - [i14]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 abs/2309.16645 (2023) - [i13]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 abs/2310.02989 (2023) - [i12]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 abs/2310.02994 (2023) - [i11]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 abs/2310.03024 (2023) - 2022
- [j2]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): 891-938 (2022) - [c5]Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii:
Biological Learning of Irreducible Representations of Commuting Transformations. NeurIPS 2022 - [c4]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 - [i10]Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii:
An online algorithm for contrastive Principal Component Analysis. CoRR abs/2211.07723 (2022) - 2021
- [j1]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): 2309-2352 (2021) - [c3]Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii:
Neural optimal feedback control with local learning rules. NeurIPS 2021: 16358-16370 - [i9]Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii:
Neural optimal feedback control with local learning rules. CoRR abs/2111.06920 (2021) - 2020
- [c2]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 - [c1]David Lipshutz, Charles Windolf, Siavash Golkar, Dmitri B. Chklovskii:
A Biologically Plausible Neural Network for Slow Feature Analysis. NeurIPS 2020 - [i8]David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR abs/2010.00525 (2020) - [i7]David Lipshutz, Charlie Windolf, Siavash Golkar, Dmitri B. Chklovskii:
A biologically plausible neural network for Slow Feature Analysis. CoRR abs/2010.12644 (2020) - [i6]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 abs/2010.12660 (2020) - [i5]Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A biologically plausible neural network for local supervision in cortical microcircuits. CoRR abs/2011.15031 (2020)
2010 – 2019
- 2019
- [i4]Siavash Golkar, Michael Kagan, Kyunghyun Cho:
Continual Learning via Neural Pruning. CoRR abs/1903.04476 (2019) - [i3]Siavash Golkar, Kyunghyun Cho:
Task-Driven Data Verification via Gradient Descent. CoRR abs/1905.05843 (2019) - [i2]Siavash Golkar:
Emergent Structures and Lifetime Structure Evolution in Artificial Neural Networks. CoRR abs/1911.11691 (2019) - 2018
- [i1]Siavash Golkar, Kyle Cranmer:
Backdrop: Stochastic Backpropagation. CoRR abs/1806.01337 (2018)
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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