Alexander Amini

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 65

Top Topics

Reinforcement Learning

Autonomous Driving

Top Venues

IEEE Robotics Autom. Lett.

Publications

Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. ICRA (2024)
Anass Bairouk, Mirjana Maras, Simon Herlin, Alexander Amini, Marc Blanchon, Ramin M. Hasani, Patrick Chareyre, Daniela Rus
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder. CoRR (2024)
Alex Quach, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks. CoRR (2024)
Yao Du, Carlos M. Mateo, Mirjana Maras, Tsun-Hsuan Wang, Marc Blanchon, Alexander Amini, Daniela Rus, Omar Tahri
Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications. CoRR (2024)
Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation. ICLR (2024)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus
Overparametrization helps offline-to-online generalization of closed-loop control from pixels. ICRA (2024)
Makram Chahine, Ramin M. Hasani, Patrick Kao, Aaron Ray, Ryan Shubert, Mathias Lechner, Alexander Amini, Daniela Rus
Robust flight navigation out of distribution with liquid neural networks. Sci. Robotics 8 (77) (2023)
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Learning Stability Attention in Vision-based End-to-end Driving Policies. L4DC (2023)
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L. Rus, Song Han
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. ICRA (2023)
Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus
Liquid Structural State-Space Models. ICLR (2023)
Qi Yang, Shreya Ravikumar, Fynn Schmitt-Ulms, Satvik Lolla, Ege Demir, Iaroslav Elistratov, Alex Lavaee, Sadhana Lolla, Elaheh Ahmadi, Daniela Rus, Alexander Amini, Alejandro Perez
Uncertainty-aware Language Modeling for Selective Question Answering. CoRR (2023)
Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Makram Chahine, Alexander Amini, Xiao Li, Daniela Rus
BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Trans. Robotics 39 (3) (2023)
Mathias Lechner, Alexander Amini, Daniela Rus, Thomas A. Henzinger
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning. IEEE Robotics Autom. Lett. 8 (3) (2023)
Sadhana Lolla, Iaroslav Elistratov, Alejandro Perez, Elaheh Ahmadi, Daniela Rus, Alexander Amini
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks. CoRR (2023)
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR (2023)
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Learning Stability Attention in Vision-based End-to-end Driving Policies. CoRR (2023)
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
Efficient Dataset Distillation Using Random Feature Approximation. CoRR (2022)
Wei Xiao, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving. CoRR (2022)
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA (2022)
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
Efficient Dataset Distillation using Random Feature Approximation. NeurIPS (2022)
Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus
Evolution of Neural Tangent Kernels under Benign and Adversarial Training. CoRR (2022)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus
Publisher Correction: Closed-form continuous-time neural networks. Nat. Mac. Intell. 4 (12) (2022)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap. CoRR (2022)
Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus
Liquid Structural State-Space Models. CoRR (2022)
Mathias Lechner, Alexander Amini, Daniela Rus, Thomas A. Henzinger
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning. CoRR (2022)
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Learning Interactive Driving Policies via Data-driven Simulation. ICRA (2022)
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. CoRR (2022)
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
Evolution of Neural Tangent Kernels under Benign and Adversarial Training. NeurIPS (2022)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus
Closed-form continuous-time neural networks. Nat. Mac. Intell. 4 (11) (2022)
Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross Allen, Alexander Amini, Daniela Rus
Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles. AAMAS (2022)
Paul Tylkin, Tsun-Hsuan Wang, Kyle Palko, Ross E. Allen, Ho Chit Siu, Daniel Wrafter, Tim Seyde, Alexander Amini, Daniela Rus
Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies. IEEE Robotics Autom. Lett. 7 (2) (2022)
Andrew Spielberg, Alexander Amini, Lillian Chin, Wojciech Matusik, Daniela Rus
Co-Learning of Task and Sensor Placement for Soft Robotics. IEEE Robotics Autom. Lett. 6 (2) (2021)
Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus
Efficient and Robust LiDAR-Based End-to-End Navigation. CoRR (2021)
Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela L. Rus
Efficient and Robust LiDAR-Based End-to-End Navigation. ICRA (2021)
Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus
Sparse Flows: Pruning Continuous-depth Models. CoRR (2021)
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. CoRR (2021)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Max Tschaikowski, Gerald Teschl, Daniela Rus
Closed-form Continuous-Depth Models. CoRR (2021)
Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus
Causal Navigation by Continuous-time Neural Networks. NeurIPS (2021)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Liquid Time-constant Networks. AAAI (2021)
Lucas Liebenwein, Ramin M. Hasani, Alexander Amini, Daniela Rus
Sparse Flows: Pruning Continuous-depth Models. NeurIPS (2021)
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Learning Interactive Driving Policies via Data-driven Simulation. CoRR (2021)
Charles Vorbach, Ramin M. Hasani, Alexander Amini, Mathias Lechner, Daniela Rus
Causal Navigation by Continuous-time Neural Networks. CoRR (2021)
Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus
Deep Orientation Uncertainty Learning based on a Bingham Loss. ICLR (2020)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Liquid Time-constant Networks. CoRR (2020)
Alexander Amini, Igor Gilitschenski, Jacob Phillips, Julia Moseyko, Rohan Banerjee, Sertac Karaman, Daniela Rus
Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation. IEEE Robotics Autom. Lett. 5 (2) (2020)
Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus
Deep Evidential Regression. NeurIPS (2020)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits. ICML (2020)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Thomas A. Henzinger, Daniela Rus, Radu Grosu
Neural circuit policies enabling auditable autonomy. Nat. Mach. Intell. 2 (10) (2020)
Alexander Amini, Jeffrey I. Lipton, Daniela Rus
Uncertainty Aware Texture Classification and Mapping Using Soft Tactile Sensors. IROS (2020)
Felix Naser, Igor Gilitschenski, Alexander Amini, Christina Liao, Guy Rosman, Sertac Karaman, Daniela Rus
Infrastructure-free NLoS Obstacle Detection for Autonomous Cars. IROS (2019)
Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus
Deep Evidential Regression. CoRR (2019)
Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Variational End-to-End Navigation and Localization. ICRA (2019)
Alexander Amini, Ava P. Soleimany, Wilko Schwarting, Sangeeta N. Bhatia, Daniela Rus
Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure. AIES (2019)
Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. IJCNN (2019)
Alexander Amini, Wilko Schwarting, Guy Rosman, Brandon Araki, Sertac Karaman, Daniela Rus
Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing. IROS (2018)
Alexander Amini, Ava Soleimany, Sertac Karaman, Daniela Rus
Spatial Uncertainty Sampling for End-to-End Control. CoRR (2018)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks. CoRR (2018)
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
Liquid Time-constant Recurrent Neural Networks as Universal Approximators. CoRR (2018)
Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman, Daniela Rus
Learning Steering Bounds for Parallel Autonomous Systems. ICRA (2018)
Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. CoRR (2018)
Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Variational End-to-End Navigation and Localization. CoRR (2018)
Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus
ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC (2018)
Yuji Yoshimura, Alexander Amini, Stanislav Sobolevsky, Josep Blat, Carlo Ratti
Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring. CoRR (2017)
Alexander Amini, Berthold K. P. Horn, Alan Edelman
Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia. CoRR (2016)
Yuji Yoshimura, Alexander Amini, Stanislav Sobolevsky, Josep Blat, Carlo Ratti
Analysis of Customers' Spatial Distribution Through Transaction Datasets. Trans. Large Scale Data Knowl. Centered Syst. 27 (2016)
Alexander Amini, Kevin S. Kung, Chaogui Kang, Stanislav Sobolevsky, Carlo Ratti
The Impact of Social Segregation on Human Mobility in Developing and Urbanized Regions. CoRR (2014)
Alexander Amini, Kevin S. Kung, Chaogui Kang, Stanislav Sobolevsky, Carlo Ratti
The impact of social segregation on human mobility in developing and industrialized regions. EPJ Data Sci. 3 (1) (2014)