Siavash Golkar

32 papers A* 6Misc 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents. CoRR Jacopo Teneggi, S. M. Bargeen A. Turzo, Tanya Marwah, Alberto Bietti, P. Douglas Renfrew, Vikram Khipple Mulligan, Siavash Golkar
2025	J	`jnl`	Joint Embeddings Go Temporal. CoRR Sofiane Ennadir, Siavash Golkar, Leopoldo Sarra
2025	J	`jnl`	Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme. CoRR Rudy Morel, Francesco Pio Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles D. Cranmer, Siavash Golkar, Olexandr Gugnin, Géraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam Holden Parker, Helen Qu, François Rozet, K. D. Leka, François Lanusse, David Fouhey, Shirley Ho
2025	J	`jnl`	Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning. CoRR Jeff Shen, François Lanusse, Liam Holden Parker, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Nathan Cassereau, Pierre Cornette, Keiya Hirashima, Géraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho
2025	J	`jnl`	Walrus: A Cross-Domain Foundation Model for Continuum Dynamics. CoRR Michael McCabe, Payel Mukhopadhyay, Tanya Marwah, Bruno Régaldo-Saint Blancard, François Rozet, Cristiana Diaconu, Lucas Meyer, Kaze W. K. Wong, Hadi Sotoudeh, Alberto Bietti, Irina Espejo, Rio Fear, Siavash Golkar, Tom Hehir, Keiya Hirashima, Géraud Krawezik, François Lanusse, Rudy Morel, Ruben Ohana, Liam Holden Parker, Mariel Pettee, Jeff Shen, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho
2025	J	`jnl`	What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models. CoRR Abhipsha Das, Nicholas Lourie, Siavash Golkar, Mariel Pettee
2024	J	`jnl`	Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task. CoRR 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
2024	A*	`conf`	Multiple Physics Pretraining for Spatiotemporal Surrogate Models. NeurIPS 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
2024	J	`jnl`	Neuronal Temporal Filters as Normal Mode Extractors. CoRR Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii
2023	J	`jnl`	A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity. CoRR David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2023	Misc	`conf`	An Online Algorithm for Contrastive Principal Component Analysis. ICASSP Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
2023	J	`jnl`	AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models. CoRR 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
2023	J	`jnl`	Multiple Physics Pretraining for Physical Surrogate Models. CoRR 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
2023	J	`jnl`	Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures. CoRR Christian Pedersen, Tiberiu Tesileanu, Tinghui Wu, Siavash Golkar, Miles D. Cranmer, Zijun Zhang, Shirley Ho
2023	J	`jnl`	xVal: A Continuous Number Encoding for Large Language Models. CoRR 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
2022	J	`jnl`	An online algorithm for contrastive Principal Component Analysis. CoRR Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
2022	A*	`conf`	Biological Learning of Irreducible Representations of Commuting Transformations. NeurIPS Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii
2022	A*	`conf`	Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy. NeurIPS Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2022	J	`jnl`	Neural Circuits for Dynamics-Based Segmentation of Time Series. Neural Comput. Tiberiu Tesileanu, Siavash Golkar, Samaneh Nasiri, Anirvan M. Sengupta, Dmitri B. Chklovskii
2021	J	`jnl`	A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. Neural Comput. David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2021	A*	`conf`	Neural optimal feedback control with local learning rules. NeurIPS Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2021	J	`jnl`	Neural optimal feedback control with local learning rules. CoRR Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	A*	`conf`	A Biologically Plausible Neural Network for Slow Feature Analysis. NeurIPS David Lipshutz, Charles Windolf, Siavash Golkar, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for Slow Feature Analysis. CoRR David Lipshutz, Charlie Windolf, Siavash Golkar, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for local supervision in cortical microcircuits. CoRR Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	A*	`conf`	A simple normative network approximates local non-Hebbian learning in the cortex. NeurIPS Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	A simple normative network approximates local non-Hebbian learning in the cortex. CoRR Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2019	J	`jnl`	Continual Learning via Neural Pruning. CoRR Siavash Golkar, Michael Kagan, Kyunghyun Cho
2019	J	`jnl`	Emergent Structures and Lifetime Structure Evolution in Artificial Neural Networks. CoRR Siavash Golkar
2019	J	`jnl`	Task-Driven Data Verification via Gradient Descent. CoRR Siavash Golkar, Kyunghyun Cho
2018	J	`jnl`	Backdrop: Stochastic Backpropagation. CoRR Siavash Golkar, Kyle Cranmer