Posts
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2025
- Flow Equivariant World Modeling for Partially Observed Dynamic Environments
- Flow Equivariant Recurrent Neural Networks
- Kuramoto Orientation Diffusion Models
- Bridging Expressivity and Scalability with Adaptive Unitary SSMs
- From Extrapolation to Generalization: How Conditioning Transforms Symmetry Learning in Diffusion Models
- Block Recurrent Dynamics in Vision Transformers
- How Neural is a Neural Foundation Model?
- Where the Score Lives: A Wavelet View of Diffusion
- Traveling Waves Integrate Spatial Information Through Time
- Structured Representation Learning
- Langevin Flows for Modeling Neural Latent Dynamics
- Origins of Creativity in Attention Based Diffusion Models
- Understanding The Convolutional Layer in State Space Models
- Image segmentation with traveling waves in an exactly solvable recurrent neural network
2024
- Learning Artistic Signatures -- Symmetry Discovery and Style Transfer
- A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems
- Unsupervised Representation Learning from Sparse Transformation Analysis
- Relative Representations for Model-to-Brain Mappings
- Traveling Waves Encode the Recent Past and Enhance Sequence Learning
2023
- Natural Inductive Biases for Artificial Intelligence (PhD Thesis)
- Homomorphic Self-Supervised Learning
- Deep Generative Models of Music Expectation
- Flow Factorized Representation Learning
- DEUT -- 2D Structured and Approximately Equivariant Representations
- Latent Traversals in Generative Models as Potential Flows
- Neural Wave Machines
2022
2021
- Modeling Category-Selective Cortical Regions with Topographic VAEs
- Predictive Coding with Topographic VAEs
- Topographic VAEs learn Equivariant Capsules
- As Easy as APC