workshops
- Machine Learning for Creativity and Design
- Workshop on Deep Learning and Inverse Problems
- Differentiable vision, graphics, and physics applied to machine learning
- Learning Meaningful Representations of Life
- Tackling Climate Change with Machine Learning
- AI for Earth Sciences
- Causal Discovery & Causality-Inspired Machine Learning
- Interpretable Inductive Biases and Physically Structured Learning
interesting papers by ad hoc theme
causality
- Causal Imitation Learning With Unobserved Confounders
- Causal Learning
- Domain Adaptation as a Problem of Inference on Graphical Models
- Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
- Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
- Differentiable Causal Discovery from Interventional Data
learning in continuous time/depth
- Almost surely stable deep dynamics
- Learning Differential Equations that are Easy to Solve
- Dissecting Neural ODEs
- STEER : Simple Temporal Regularization For Neural ODE
- Training Generative Adversarial Networks by Solving Ordinary Differential Equations
- Ode to an ODE
- Time-Reversal Symmetric ODE Network
- Hypersolvers: Toward Fast Continuous-Depth Models
- On Second Order Behaviour in Augmented Neural ODEs
- Neural Controlled Differential Equations for Irregular Time Series
Learning with weird losses
ML physical sciences
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