Amini, Alexander

17 publications

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

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

ICMLW 2023 Adversarial Training in Continuous-Time Models and Irregularly Sampled Time-Series Alvin Li, Mathias Lechner, Alexander Amini, 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

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

ICMLW 2023 Risk-Aware Image Generation by Estimating and Propagating Uncertainty Alejandro Perez, Iaroslav Elistratov, Fynn Schmitt-Ulms, Ege Demir, Sadhana Lolla, Elaheh Ahmadi, Daniela Rus, Alexander Amini

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

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

AAAI 2021 Liquid Time-Constant Networks Ramin M. Hasani, Mathias Lechner, Alexander Amini, 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

NeurIPS 2020 Deep Evidential Regression Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus

ICLR 2020 Deep Orientation Uncertainty Learning Based on a Bingham Loss Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus

ICMLW 2019 Real-World Autonomous Vehicle Control Trained Entirely Within Data-Driven Simulation Alexander Amini, Igor Gilitschenski, Jacob Phillips, Julia Moseyko, Sertac Karaman, Daniela Rus