Michael Poli

60 papers A* 21A 1Journal 37Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exploring Diffusion Transformer Designs via Grafting.
CoRR
Keshigeyan Chandrasegaran, Michael Poli, Daniel Y. Fu, Dongjun Kim, Lea M. Hadzic, Manling Li, Agrim Gupta, Stefano Massaroli, Azalia Mirhoseini, Juan Carlos Niebles, Stefano Ermon, Li Fei-Fei
2025 A* conf
Quantifying Memory Utilization with Effective State-Size.
ICML
Rom N. Parnichkun, Neehal Tumma, Armin W. Thomas, Alessandro Moro, Qi An, Taiji Suzuki, Atsushi Yamashita, Michael Poli, Stefano Massaroli
2025 J jnl
Quantifying Memory Utilization with Effective State-Size.
CoRR
Rom N. Parnichkun, Neehal Tumma, Armin W. Thomas, Alessandro Moro, Qi An, Taiji Suzuki, Atsushi Yamashita, Michael Poli, Stefano Massaroli
2025 A* conf
STAR: Synthesis of Tailored Architectures.
ICLR
Armin W. Thomas, Rom N. Parnichkun, Alexander Amini, Stefano Massaroli, Michael Poli
2025 J jnl
Sliding Window Recurrences for Sequence Models.
CoRR
Dragos Secrieru, Garyk Brixi, Yoshua Bengio, Taiji Suzuki, Michael Poli, Stefano Massaroli
2025 J jnl
Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale.
CoRR
Jerome Ku, Eric Nguyen, David W. Romero, Garyk Brixi, Brandon Yang, Anton Vorontsov, Ali Taghibakhshi, Amy X. Lu, Dave P. Burke, Greg Brockman, Stefano Massaroli, Christopher Ré, Patrick D. Hsu, Brian L. Hie, Stefano Ermon, Michael Poli
2025 J jnl
VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems.
CoRR
André Hottung, Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, Daniel Wetzel, Michael Römer, Haoran Ye, Davide Zago, Michael Poli, Stefano Massaroli, Jinkyoo Park, Kevin Tierney
2024 A* conf
Mechanistic Design and Scaling of Hybrid Architectures.
ICML
Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian L. Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
2024 J jnl
Mechanistic Design and Scaling of Hybrid Architectures.
CoRR
Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian L. Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli
2024 J jnl
STAR: Synthesis of Tailored Architectures.
CoRR
Armin W. Thomas, Rom N. Parnichkun, Alexander Amini, Stefano Massaroli, Michael Poli
2024 A* conf
State-Free Inference of State-Space Models: The *Transfer Function* Approach.
ICML
Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Michael Poli, Atsushi Yamashita
2024 J jnl
State-Free Inference of State-Space Models: The Transfer Function Approach.
CoRR
Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Atsushi Yamashita, Michael Poli
2024 A* conf
Zoology: Measuring and Improving Recall in Efficient Language Models.
ICLR
Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
2023 A* conf
Deep Latent State Space Models for Time-Series Generation.
ICML
Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon
2023 A* conf
Effectively Modeling Time Series with Simple Discrete State Spaces.
ICLR
Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré
2023 J jnl
Effectively Modeling Time Series with Simple Discrete State Spaces.
CoRR
Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré
2023 A* conf
Hyena Hierarchy: Towards Larger Convolutional Language Models.
ICML
Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré
2023 J jnl
Hyena Hierarchy: Towards Larger Convolutional Language Models.
CoRR
Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré
2023 A* conf
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution.
NeurIPS
Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton M. Rabideau, Yoshua Bengio, Stefano Ermon, Christopher Ré, Stephen Baccus
2023 J jnl
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution.
CoRR
Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Callum Birch-Sykes, Michael Wornow, Aman Patel, Clayton M. Rabideau, Stefano Massaroli, Yoshua Bengio, Stefano Ermon, Stephen A. Baccus, Christopher Ré
2023 A conf
Ideal Abstractions for Decision-Focused Learning.
AISTATS
Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz
2023 J jnl
Ideal Abstractions for Decision-Focused Learning.
CoRR
Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz
2023 A* conf
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions.
NeurIPS
Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
2023 J jnl
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions.
CoRR
Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, Aman Timalsina, David W. Romero, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
2023 A* conf
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks.
NeurIPS
Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park
2023 J jnl
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks.
CoRR
Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park
2023 A* conf
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture.
NeurIPS
Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
2023 J jnl
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture.
CoRR
Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
2023 J jnl
Zoology: Measuring and Improving Recall in Efficient Language Models.
CoRR
Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
2022 J jnl
Deep Latent State Space Models for Time-Series Generation.
CoRR
Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon
2022 J jnl
Learning Stochastic Optimal Policies via Gradient Descent.
IEEE Control. Syst. Lett.
Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2022 A* conf
Monarch: Expressive Structured Matrices for Efficient and Accurate Training.
ICML
Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
2022 J jnl
Monarch: Expressive Structured Matrices for Efficient and Accurate Training.
CoRR
Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré
2022 A* conf
Neural Solvers for Fast and Accurate Numerical Optimal Control.
ICLR
Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park
2022 J jnl
Neural Solvers for Fast and Accurate Numerical Optimal Control.
CoRR
Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park
2022 J jnl
Optimal Energy Shaping via Neural Approximators.
SIAM J. Appl. Dyn. Syst.
Stefano Massaroli, Michael Poli, Federico Califano, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2022 A* conf
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations.
NeurIPS
Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon
2022 J jnl
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations.
CoRR
Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon
2022 A* conf
Transform Once: Efficient Operator Learning in Frequency Domain.
NeurIPS
Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon
2022 J jnl
Transform Once: Efficient Operator Learning in Frequency Domain.
CoRR
Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon
2022 A* conf
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective.
ICLR
Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
2021 J jnl
Continuous-Depth Neural Models for Dynamic Graph Prediction.
CoRR
Michael Poli, Stefano Massaroli, Clayton M. Rabideau, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2021 A* conf
Differentiable Multiple Shooting Layers.
NeurIPS
Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2021 J jnl
Differentiable Multiple Shooting Layers.
CoRR
Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2021 J jnl
Learning Stochastic Optimal Policies via Gradient Descent.
CoRR
Stefano Massaroli, Michael Poli, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2021 A* conf
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions.
NeurIPS
Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
2021 J jnl
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions.
CoRR
Michael Poli, Stefano Massaroli, Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg
2021 J jnl
Optimal Energy Shaping via Neural Approximators.
CoRR
Stefano Massaroli, Michael Poli, Federico Califano, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2021 J jnl
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective.
CoRR
Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun
2020 A* conf
Dissecting Neural ODEs.
NeurIPS
Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2020 J jnl
Dissecting Neural ODEs.
CoRR
Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2020 A* conf
Hypersolvers: Toward Fast Continuous-Depth Models.
NeurIPS
Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2020 J jnl
Hypersolvers: Toward Fast Continuous-Depth Models.
CoRR
Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2020 J jnl
Neural Ordinary Differential Equations for Intervention Modeling.
CoRR
Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi
2020 J jnl
Stable Neural Flows.
CoRR
Stefano Massaroli, Michael Poli, Michelangelo Bin, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2020 J jnl
TorchDyn: A Neural Differential Equations Library.
CoRR
Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2019 J jnl
Graph Neural Ordinary Differential Equations.
CoRR
Michael Poli, Stefano Massaroli, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2019 — conf
Port-Hamiltonian Approach to Neural Network Training.
CDC
Stefano Massaroli, Michael Poli, Federico Califano, Angela Faragasso, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2019 J jnl
Port-Hamiltonian Approach to Neural Network Training.
CoRR
Stefano Massaroli, Michael Poli, Federico Califano, Angela Faragasso, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
2019 J jnl
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series.
CoRR
Michael Poli, Jinkyoo Park, Ilija Ilievski