David Sussillo
11 papers · 2016–2021 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (12)
🐝
Cross-Pollinator
(12)
🌈
Renaissance Researcher
(6)
💎
Century Club
(11)
📈
Trend Setter
🚀
Conference Pioneer
🔥
Unstoppable
(6)
Conferences
NIPS (7)
ICML (2)
ECCV (1)
ICLR (1)
Top co-authors
Keywords
recurrent neural network
(7)
dynamical system
(3)
fixed point
(2)
sentiment classification
(2)
network dynamics
(1)
neural network optimization
(1)
linear methods
(1)
gradient descent
(1)
canonical correlation analysis
(1)
bag-of-words model
(1)
line attractor
(1)
object classification
(1)
learning rate adaptation
(1)
natural language
(1)
text modeling
(1)
feedback connections
(1)
switching linear dynamical system
(1)
neural response
(1)
convolutional neural network
(1)
gradient clipping
(1)
Papers
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
NIPS 2021
The geometry of integration in text classification RNNs
ICLR 2021
Reverse engineering learned optimizers reveals known and novel mechanisms
NIPS 2021
How recurrent networks implement contextual processing in sentiment analysis
ICML 2020
Organizing recurrent network dynamics by task-computation to enable continual learning
NIPS 2020
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
NIPS 2019
Universality and individuality in neural dynamics across large populations of recurrent networks
NIPS 2019
A Dataset and Architecture for Visual Reasoning with a Working Memory
ECCV 2018
Task-Driven Convolutional Recurrent Models of the Visual System
NIPS 2018
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability
ICML 2017
An Online Sequence-to-Sequence Model Using Partial Conditioning
NIPS 2016