Seeing the forest and the tree: Building representations of both
individual and collective dynamics with transformers

Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers

10 June 2022

Papers citing "Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers"

17 / 17 papers shown

Title
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models Yule Wang Chengrui Li Weihan Li Anqi Wu DiffM 18 2 0 12 Oct 2024
Generalizable autoregressive modeling of time series through functional narratives Ran Liu Wenrui Ma Ellen L. Zippi Hadi Pouransari Jingyun Xiao ... Behrooz Mahasseni Juri Minxha Erdrin Azemi Eva L. Dyer Ali Moin AI4TS 22 0 0 10 Oct 2024
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation Zhengrui Guo F. Zhou Wei Yu Wu Qichen Sun Lishuang Feng Jinzhuo Wang Hao Chen 29 1 0 02 Oct 2024
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution Yizi Zhang Yanchen Wang Donato Jimenez-Beneto Zixuan Wang Mehdi Azabou ... Olivier Winter The International Brain Laboratory Eva L. Dyer Liam Paninski Cole Hurwitz MedIm AI4CE 21 10 0 19 Jul 2024
Population Transformer: Learning Population-level Representations of Neural Activity Geeling Chau Christopher Wang Sabera Talukder Vighnesh Subramaniam Saraswati Soedarmadji Yisong Yue Boris Katz Andrei Barbu MedIm 54 0 0 05 Jun 2024
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance Chiraag Kaushik Ran Liu Chi-Heng Lin Amrit Khera Matthew Y Jin Wenrui Ma Vidya Muthukumar Eva L. Dyer 28 3 0 18 Feb 2024
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics Lu Mi Trung Le Tianxing He Eli Shlizerman U. Sümbül 21 5 0 03 Nov 2023
A Unified, Scalable Framework for Neural Population Decoding Mehdi Azabou Vinam Arora Venkataramana Ganesh Ximeng Mao Santosh Nachimuthu Michael J. Mendelson Blake A. Richards M. Perich Guillaume Lajoie Eva L. Dyer HAI AI4TS 11 35 0 24 Oct 2023
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals Ran Liu Ellen L. Zippi Hadi Pouransari Chris Sandino Jingping Nie Hanlin Goh Erdrin Azemi Ali Moin 18 12 0 12 Sep 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models Yule Wang Zijing Wu Chengrui Li Anqi Wu DiffM 17 5 0 09 Jun 2023
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States Noga Mudrik Gal Mishne Adam S. Charles 17 1 0 07 Jun 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems Subhabrata Dutta Tanya Gautam Soumen Chakrabarti Tanmoy Chakraborty 39 15 0 30 Sep 2021
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity Felix Pei Joel Ye D. Zoltowski Anqi Wu Raeed H. Chowdhury ... L. Miller Jonathan W. Pillow Il Memming Park Eva L. Dyer C. Pandarinath 42 86 0 09 Sep 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,939 0 09 Feb 2021
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 121 302 0 11 Jun 2018
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 252 1,394 0 01 Dec 2016