Michael Poli
23 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
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ICML (6)
ICLR (5)
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Keywords
neural network
(3)
dynamical system
(3)
deep learning
(2)
neural differential equation
(2)
neural ordinary differential equation
(2)
attention mechanism
(2)
model architecture
(2)
language modeling
(2)
model compression
(2)
knowledge distillation
(1)
spatio-temporal modeling
(1)
image classification
(1)
latent state space
(1)
time series generation
(1)
image compression
(1)
fourier transform
(1)
transfer learning
(1)
optimal control
(1)
time series classification
(1)
computational efficiency
(1)
Papers
STAR: Synthesis of Tailored Architectures
ICLR 2025
Quantifying Memory Utilization with Effective State-Size
ICML 2025
Mechanistic Design and Scaling of Hybrid Architectures
ICML 2024
Zoology: Measuring and Improving Recall in Efficient Language Models
ICLR 2024
State-Free Inference of State-Space Models: The *Transfer Function* Approach
ICML 2024
Effectively Modeling Time Series with Simple Discrete State Spaces
ICLR 2023
Deep Latent State Space Models for Time-Series Generation
ICML 2023
Hyena Hierarchy: Towards Larger Convolutional Language Models
ICML 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
NIPS 2023
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
NIPS 2023
Ideal Abstractions for Decision-Focused Learning
AISTATS 2023
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
NIPS 2023
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
NIPS 2023
Transform Once: Efficient Operator Learning in Frequency Domain
NIPS 2022
Neural Solvers for Fast and Accurate Numerical Optimal Control
ICLR 2022
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
ICLR 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
ICML 2022
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
NIPS 2022
Differentiable Multiple Shooting Layers
NIPS 2021
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
NIPS 2021
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
IJCAI 2020
Hypersolvers: Toward Fast Continuous-Depth Models
NIPS 2020
Dissecting Neural ODEs
NIPS 2020