Hasani, Ramin

22 publications

ICLR 2025 SafeDiffuser: Safe Planning with Diffusion Probabilistic Models Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Ramin Hasani, Mathias Lechner, Daniela Rus

CoRL 2024 Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks Alex Quach, Makram Chahine, Alexander Amini, Ramin Hasani, Daniela Rus

ICML 2024 Large Scale Dataset Distillation with Domain Shift Noel Loo, Alaa Maalouf, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

ICLR 2024 Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus

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

ICLR 2024 Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation Noel Loo, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

ICML 2023 Dataset Distillation with Convexified Implicit Gradients Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus

NeurIPSW 2023 Exploring Modern Evolution Strategies in Portfolio Optimization Ramin Hasani, Etan A Ehsanfar, Greg A Banis, Rusty Bealer, Amir Soroush Ahmadi

NeurIPS 2023 Gigastep - One Billion Steps per Second Multi-Agent Reinforcement Learning Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin Hasani, Joshua Rountree, Daniela Rus

L4DC 2023 Learning Stability Attention in Vision-Based End-to-End Driving Policies Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin Hasani, Daniela Rus

NeurIPSW 2023 Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus

ICLR 2023 Liquid Structural State-Space Models Ramin Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus

CoRL 2023 Measuring Interpretability of Neural Policies of Robots with Disentangled Representation Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin Hasani, Daniela Rus

ICML 2023 On the Forward Invariance of Neural ODEs Wei Xiao, Tsun-Hsuan Wang, Ramin Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus

NeurIPS 2023 On the Size and Approximation Error of Distilled Datasets Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus

NeurIPS 2022 Efficient Dataset Distillation Using Random Feature Approximation Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus

NeurIPS 2022 Evolution of Neural Tangent Kernels Under Benign and Adversarial Training Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus

NeurIPSW 2022 PyHopper - A Plug-and-Play Hyperparameter Optimization Engine Mathias Lechner, Ramin Hasani, Sophie Neubauer, Philipp Neubauer, Daniela Rus

NeurIPS 2021 Causal Navigation by Continuous-Time Neural Networks Charles Vorbach, Ramin Hasani, Alexander Amini, Mathias Lechner, Daniela Rus

ICML 2021 On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification Zahra Babaiee, Ramin Hasani, Mathias Lechner, Daniela Rus, Radu Grosu

NeurIPS 2021 Sparse Flows: Pruning Continuous-Depth Models Lucas Liebenwein, Ramin Hasani, Alexander Amini, Daniela Rus

ICML 2020 A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu