Alexander Amini

发表

The Differing Tribal and Infrastructural Influences on Mobility in Developing and Industrialized Regions

C. Ratti, Stanislav Sobolevsky, Alexander Amini, 2013 .

Variational End-to-End Navigation and Localization

Guy Rosman, Daniela Rus, Sertac Karaman, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Dog-Inspired Robot Noses

Ramin M. Hasani, D. Rus, Alexander Amini, 2021 .

Evidential Deep Learning for Guided Molecular Property Prediction and Discovery

Connor W. Coley, Alexander Amini, S. Bhatia, 2021, ACS central science.

Real World Application of Event-based End to End Autonomous Driving

Alexander Amini, Igor Gilitschenski, Yuxuan Chen, 2020 .

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Huizi Mao, Zhijian Liu, Haotian Tang, 2022, ArXiv.

Identifying and Mitigating Potential Biases in Predicting Drug Approvals

A. Lo, Alexander Amini, D. Rus, 2022, Drug Safety.

Deep Evidential Regression

D. Rus, Wilko Schwarting, Alexander Amini, 2019, NeurIPS.

Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles

D. Rus, Paul Tylkin, Alexander Amini, 2022, AAMAS.

Liquid Structural State-Space Models

Ramin M. Hasani, Alexander Amini, D. Rus, 2022, ICLR.

Efficient Dataset Distillation Using Random Feature Approximation

Ramin M. Hasani, Alexander Amini, D. Rus, 2022, NeurIPS.

Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap

Ramin M. Hasani, T. Henzinger, Alexander Amini, 2022, ArXiv.

Evolution of Neural Tangent Kernels under Benign and Adversarial Training

Ramin M. Hasani, Alexander Amini, D. Rus, 2022, NeurIPS.

Deep Evidential Uncertainty

D. Rus, Wilko Schwarting, Alexander Amini, 2019 .

Closed-form continuous-time neural networks

Ramin M. Hasani, G. Teschl, Alexander Amini, 2022, Nature Machine Intelligence.

Liquid Time-constant Networks

Radu Grosu, Daniela Rus, Mathias Lechner, 2020, AAAI.

Liquid Time-constant Recurrent Neural Networks as Universal Approximators pdf

Radu Grosu, Daniela Rus, Mathias Lechner, 2018, ArXiv.

Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks

Ramin M. Hasani, D. Rus, Alexander Amini, 2018, ArXiv.

Neural circuit policies enabling auditable autonomy

Radu Grosu, Mathias Lechner, Ramin Hasani, 2020, Nature Machine Intelligence.

Causal Navigation by Continuous-time Neural Networks pdf

Mathias Lechner, Ramin Hasani, Alexander Amini, 2021, NeurIPS.

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure

Daniela Rus, Wilko Schwarting, Sangeeta Bhatia, 2019, AIES.

The impact of social segregation on human mobility in developing and industrialized regions

Carlo Ratti, Stanislav Sobolevsky, Chaogui Kang, 2014, EPJ Data Science.

Efficient and Robust LiDAR-Based End-to-End Navigation

Daniela Rus, Song Han, Sertac Karaman, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation

Daniela Rus, Igor Gilitschenski, Sertac Karaman, 2020, IEEE Robotics and Automation Letters.

Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning

T. Henzinger, Alexander Amini, D. Rus, 2022, IEEE Robotics and Automation Letters.

Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia pdf

Alan Edelman, Alexander Amini, Berthold K. P. Horn, 2016, ArXiv.

Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring pdf

Josep Blat, Carlo Ratti, Stanislav Sobolevsky, 2017, ArXiv.

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Huizi Mao, Zhijian Liu, Haotian Tang, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Learning Interactive Driving Policies via Data-driven Simulation pdf

Igor Gilitschenski, Wilko Schwarting, Sertac Karaman, 2021, 2022 International Conference on Robotics and Automation (ICRA).

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles pdf

Igor Gilitschenski, Daniela Rus, Song Han, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Learning Steering Bounds for Parallel Autonomous Systems

Liam Paull, Daniela Rus, Sertac Karaman, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Co-Learning of Task and Sensor Placement for Soft Robotics

Wojciech Matusik, Daniela Rus, Alexander Amini, 2021, IEEE Robotics and Automation Letters.

Deep Orientation Uncertainty Learning based on a Bingham Loss

Igor Gilitschenski, Wilko Schwarting, Daniela Rus, 2020, ICLR.

Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing

Guy Rosman, Daniela Rus, Wilko Schwarting, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving

Ramin M. Hasani, Alexander Amini, D. Rus, 2022, ArXiv.

Closed-form continuous-time neural networks

Ramin M. Hasani, G. Teschl, Alexander Amini, 2021, Nature Machine Intelligence.

BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control

Ramin M. Hasani, Alexander Amini, D. Rus, 2023, IEEE Transactions on Robotics.

Robust flight navigation out of distribution with liquid neural networks

Ramin M. Hasani, Alexander Amini, D. Rus, 2023, Science Robotics.

Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies

Paul Tylkin, Alexander Amini, H. Siu, 2022, IEEE Robotics and Automation Letters.

Sparse Flows: Pruning Continuous-depth Models pdf

Ramin Hasani, Alexander Amini, Lucas Liebenwein, 2021, NeurIPS.

Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks

Radu Grosu, Daniela Rus, Mathias Lechner, 2018, 2019 International Joint Conference on Neural Networks (IJCNN).

A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits

Radu Grosu, Mathias Lechner, Daniela Rus, 2020, ICML.

Learning Stability Attention in Vision-based End-to-end Driving Policies

Ramin M. Hasani, Alexander Amini, D. Rus, 2023, ArXiv.

Analysis of Customers' Spatial Distribution Through Transaction Datasets

Josep Blat, Carlo Ratti, Stanislav Sobolevsky, 2016, Trans. Large Scale Data Knowl. Centered Syst..

Closed-form Continuous-Depth Models pdf

Mathias Lechner, Ramin Hasani, Max Tschaikowski, 2021, ArXiv.

Spatial Uncertainty Sampling for End-to-End Control pdf

Daniela Rus, Sertac Karaman, Alexander Amini, 2018, ArXiv.

Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks

Alexander Amini, D. Rus, Elaheh Ahmadi, 2023, ArXiv.

Finding quadruply imaged quasars with machine learning. I. Methods

D. Gerdes, J. Frieman, O. Lahav, 2021, Monthly Notices of the Royal Astronomical Society.

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models

G. Rosman, S. Karaman, Yutong Ban, 2023, ArXiv.

MIT Open Access Articles Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure

Wilko Schwarting, Alexander Amini, A. Soleimany, 2022 .

The Impact of Social Segregation on Human Mobility in Developing and Urbanized Regions pdf

Carlo Ratti, Stanislav Sobolevsky, Chaogui Kang, 2014, ArXiv.

Uncertainty Aware Texture Classification and Mapping Using Soft Tactile Sensors

D. Rus, J. Lipton, Alexander Amini, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits

Ramin M. Hasani, D. Rus, Alexander Amini, 2020, ICML.

Infrastructure-free NLoS Obstacle Detection for Autonomous Cars

Daniela Rus, Igor Gilitschenski, Guy Rosman, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles

Frédo Durand, Gregory W. Wornell, Antonio Torralba, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Overparametrization helps offline-to-online generalization of closed-loop control from pixels

Ramin M. Hasani, T. Henzinger, Alexander Amini, 2024, 2024 IEEE International Conference on Robotics and Automation (ICRA).

Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications

Alexander Amini, Tsun-Hsuan Wang, Daniela Rus, 2024, ArXiv.