Daniel Durstewitz
15 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Keyword Champion
(9)
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Renaissance Researcher
(5)
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Research topics
Machine Learning
(15)
Deep Learning
(11)
Architectures
(9)
Artificial Intelligence
(8)
Optimization & Theory
(8)
Core Methods
(7)
Core AI
(6)
Models
(4)
Data Science & Analytics
(3)
Learning Types · Machine Learning
(3)
Methods
(3)
Interdisciplinary
(2)
Mathematics & Optimization
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Keywords
dynamical system
(9)
recurrent neural network
(8)
time series
(5)
unsupervised learning
(2)
gradient descent
(2)
variational autoencoder
(2)
dynamical systems reconstruction
(2)
teacher forcing
(2)
nonlinear dynamical system
(2)
variational inference
(2)
piecewise linear system
(2)
piecewise linear
(2)
dynamical system reconstruction
(2)
chaotic dynamics
(2)
hierarchical model
(1)
expectation maximization
(1)
transfer learning
(1)
state space model
(1)
spike timing
(1)
generative model
(1)
Papers
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
ICLR 2025
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
NeurIPS 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data
NeurIPS 2024
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
ICML 2024
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
ICML 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction
ICML 2024
Bifurcations and loss jumps in RNN training
NeurIPS 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics
ICML 2023
On the difficulty of learning chaotic dynamics with RNNs
NeurIPS 2022
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
ICML 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
ICML 2022
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
ICLR 2021
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
ICML 2020
LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
ICLR 2019
Sparse convolutional coding for neuronal assembly detection
NeurIPS 2017