Massaroli, Stefano

27 publications

NeurIPS 2025 Exploring Diffusion Transformer Designs via Grafting 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

ICML 2025 Quantifying Memory Utilization with Effective State-Size Rom Parnichkun, Neehal Tumma, Armin W Thomas, Alessandro Moro, Qi An, Taiji Suzuki, Atsushi Yamashita, Michael Poli, Stefano Massaroli

ICLR 2025 STAR: Synthesis of Tailored Architectures Armin W Thomas, Rom Parnichkun, Alexander Amini, Stefano Massaroli, Michael Poli

ICML 2024 Mechanistic Design and Scaling of Hybrid Architectures Michael Poli, Armin W Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Re, Ce Zhang, Stefano Massaroli

ICML 2024 State-Free Inference of State-Space Models: The *Transfer Function* Approach Rom Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T.H. Smith, Ramin Hasani, Mathias Lechner, Qi An, Christopher Re, Hajime Asama, Stefano Ermon, Taiji Suzuki, Michael Poli, Atsushi Yamashita

ICML 2023 Deep Latent State Space Models for Time-Series Generation Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon

ICML 2023 Hyena Hierarchy: Towards Larger Convolutional Language Models Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Re

NeurIPS 2023 HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution Eric Nguyen, Michael Poli, Marjan Faizi, Armin Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton Rabideau, Yoshua Bengio, Stefano Ermon, Christopher Ré, Stephen Baccus

AISTATS 2023 Ideal Abstractions for Decision-Focused Learning Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz

NeurIPS 2023 Improving *day-Ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio

NeurIPS 2023 Laughing Hyena Distillery: Extracting Compact Recurrences from Convolutions Stefano Massaroli, Michael Poli, Dan Fu, Hermann Kumbong, Rom Parnichkun, David Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio

NeurIPS 2023 Learning Efficient Surrogate Dynamic Models with Graph Spline Networks Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park

ICLRW 2023 Multilevel Approach to Efficient Gradient Calculation in Stochastic Systems Joohwan Ko, Michael Poli, Stefano Massaroli, Woo Chang Kim

NeurIPSW 2023 Scalable Deep Potentials as Implicit Hierarchical Semi-Separable Operators Michael Poli, Stefano Massaroli, Christopher Re, Stefano Ermon

ICMLW 2023 What if We Enrich Day-Ahead Solar Irradiance Time Series Forecasting with Spatio-Temporal Context? Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio

ICMLW 2022 Efficient Continuous Spatio-Temporal Simulation with Graph Spline Networks Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park

ICLR 2022 Neural Solvers for Fast and Accurate Numerical Optimal Control Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park

NeurIPS 2022 Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon

NeurIPS 2022 Transform Once: Efficient Operator Learning in Frequency Domain Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon

ICMLW 2022 Transform Once: Efficient Operator Learning in Frequency Domain Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Re, Stefano Ermon

NeurIPS 2021 Differentiable Multiple Shooting Layers Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama

NeurIPS 2021 Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions Michael Poli, Stefano Massaroli, Luca Scimeca, Sanghyuk Chun, Seong Joon Oh, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, Animesh Garg

NeurIPSW 2021 Neural Solvers for Fast and Accurate Numerical Optimal Control Federico Berto, Stefano Massaroli, Michael Poli, Jinkyoo Park

NeurIPS 2020 Dissecting Neural ODEs Stefano Massaroli, Michael Poli, Jinkyoo Park, Atsushi Yamashita, Hajime Asama

NeurIPS 2020 Hypersolvers: Toward Fast Continuous-Depth Models Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park

ICLRW 2020 Neural Ordinary Differential Equation Value Networks for Parametrized Action Spaces Stefano Massaroli, Michael Poli, Sanzhar Bakhtiyarov, Atsushi Yamashita, Hajime Asama, Jinkyoo Park

ICLRW 2020 Port-Hamiltonian Gradient Flows Michael Poli, Stefano Massaroli, Atsushi Yamashita, Hajime Asama, Jinkyoo Park