Stefano Massaroli

54 papers A* 17A 1Journal 34Unranked 2

Year	Rank	Type	Title / 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
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`	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`	Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context. NeurIPS Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio
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	J	`jnl`	What if We Enrich day-ahead Solar Irradiance Time Series Forecasting with Spatio-Temporal Context? CoRR Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio
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`	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
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
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`	On the Extinction-Free Stabilization of Predator-Prey Dynamics. IEEE Control. Syst. Lett. Stefano Massaroli, Federico Califano, Angela Faragasso, Atsushi Yamashita, Hajime Asama
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	—	`conf`	A Novel Recursive Linear Estimator Based on the Frisch Scheme. ASCC Stefano Massaroli, Renato Miyagusuku, Federico Califano, Angela Faragasso, Atsushi Yamashita, Hajime Asama
2019	J	`jnl`	Graph Neural Ordinary Differential Equations. CoRR Michael Poli, Stefano Massaroli, Junyoung Park, Atsushi Yamashita, Hajime Asama, Jinkyoo Park
2019	J	`jnl`	Pedestrian trajectory prediction using BiRNN encoder-decoder framework. Adv. Robotics Jiaxu Wu, Hanwool Woo, Yusuke Tamura, Alessandro Moro, Stefano Massaroli, Atsushi Yamashita, Hajime Asama
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