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By Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, and Ruth Rosenholtz
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
By Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, and Reza Shokri
Leave-one-out Distinguishability in Machine Learning
By Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, and Daniela Rus
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
By Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, and Denny Wu
How Structured Data Guides Feature Learning: A Case Study of the Parity Problem
By Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, and Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models
By Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, and Daniela Rus
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
By Ramin Hasani, Etan A Ehsanfar, Greg A Banis, Rusty Bealer, and Amir Soroush Ahmadi
Exploring Modern Evolution Strategies in Portfolio Optimization
By Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Wang, Wei Xiao, Ramin Hasani, Joshua Rountree, and Daniela Rus
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning
By Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, and Daniela Rus
On the Size and Approximation Error of Distilled Datasets
By Đorđe Žikelić, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, and Thomas A Henzinger
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
By Jimmy T.H. Smith, Shalini De Mello, Jan Kautz, Scott Linderman, and Wonmin Byeon
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
By 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, and 2 others
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
- Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
By Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, and Yoshua Bengio
Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
By Stefano Massaroli, Michael Poli, Daniel Y Fu, Hermann Kumbong, Rom Nishijima Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, and 3 others
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions
By Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Everett Spielberg, Joshua B. Tenenbaum, Chuang Gan, and Daniela Rus
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
By Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, and Jinkyoo Park
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
By Derek Lim, Joshua Robinson, Stefanie Jegelka, and Haggai Maron
Expressive Sign Equivariant Networks for Spectral Geometric Learning