A Novel Recursive Linear Estimator Based on the Frisch Scheme. - Stefano Massaroli; Renato Miyagusuku; Federico Califano; Angela Faragasso; Atsushi Yamashita; Hajime Asama (ASCC, 2019)

Port-Hamiltonian Approach to Neural Network Training. - Stefano Massaroli; Michael Poli; Federico Califano; Angela Faragasso; Jinkyoo Park; Atsushi Yamashita; Hajime Asama (CDC, 2019)

Pedestrian trajectory prediction using BiRNN encoder-decoder framework. - Jiaxu Wu; Hanwool Woo; Yusuke Tamura; Alessandro Moro; Stefano Massaroli; Atsushi Yamashita; Hajime Asama (Adv. Robotics, 2019)

Graph Neural Ordinary Differential Equations. - Michael Poli; Stefano Massaroli; Junyoung Park; Atsushi Yamashita; Hajime Asama; Jinkyoo Park (CoRR, 2019)

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 (NeurIPS, 2020)

Stable Neural Flows. - Stefano Massaroli; Michael Poli; Michelangelo Bin; Jinkyoo Park; Atsushi Yamashita; Hajime Asama (CoRR, 2020)

TorchDyn: A Neural Differential Equations Library. - Michael Poli; Stefano Massaroli; Atsushi Yamashita; Hajime Asama; Jinkyoo Park (CoRR, 2020)

Neural Ordinary Differential Equations for Intervention Modeling. - Daehoon Gwak; Gyuhyeon Sim; Michael Poli; Stefano Massaroli; Jaegul Choo; Edward Choi (CoRR, 2020)

On the Extinction-Free Stabilization of Predator-Prey Dynamics. - Stefano Massaroli; Federico Califano; Angela Faragasso; Atsushi Yamashita; Hajime Asama (IEEE Control. Syst. Lett., 2020)

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 (NeurIPS, 2021)

Continuous-Depth Neural Models for Dynamic Graph Prediction. - Michael Poli; Stefano Massaroli; Clayton M. Rabideau; Junyoung Park; Atsushi Yamashita; Hajime Asama; Jinkyoo Park (CoRR, 2021)

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

Transform Once: Efficient Operator Learning in Frequency Domain. - Michael Poli; Stefano Massaroli; Federico Berto; Jinkyoo Park; Tri Dao; Christopher Ré; Stefano Ermon (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)

Learning Stochastic Optimal Policies via Gradient Descent. - Stefano Massaroli; Michael Poli; Stefano Peluchetti; Jinkyoo Park; Atsushi Yamashita; Hajime Asama (IEEE Control. Syst. Lett., 2022)

Optimal Energy Shaping via Neural Approximators. - Stefano Massaroli; Michael Poli; Federico Califano; Jinkyoo Park; Atsushi Yamashita; Hajime Asama (SIAM J. Appl. Dyn. Syst., 2022)

Ideal Abstractions for Decision-Focused Learning. - Michael Poli; Stefano Massaroli; Stefano Ermon; Bryan Wilder; Eric Horvitz (AISTATS, 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 Ré (ICML, 2023)

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

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

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. - 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 001; Christopher Ré; et al. (NeurIPS, 2023)

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. - 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; et al. (NeurIPS, 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 (CoRR, 2023)

State-Free Inference of State-Space Models: The *Transfer Function* Approach. - 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; et al. (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 L. Hie; Stefano Ermon; Christopher Ré; Ce Zhang 001; Stefano Massaroli (ICML, 2024)

STAR: Synthesis of Tailored Architectures. - Armin W. Thomas; Rom N. Parnichkun; Alexander Amini; Stefano Massaroli; Michael Poli (ICLR, 2025)

Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale. - 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; et al. (CoRR, 2025)

Quantifying Memory Utilization with Effective State-Size. - Rom N. Parnichkun; Neehal Tumma; Armin W. Thomas; Alessandro Moro; Qi An; Taiji Suzuki; Atsushi Yamashita; Michael Poli; Stefano Massaroli (CoRR, 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 001 (CoRR, 2025)