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08/10/2023
Follow Anything: Open-set detection, tracking, and following in real-time
Tracking and following objects of interest is critical to several roboti...
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08/01/2023
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks
The modern pervasiveness of large-scale deep neural networks (NNs) is dr...
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06/05/2023
Efficient automatic design of robots
Robots are notoriously difficult to design because of complex interdepen...
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05/24/2023
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving
As learning-based methods make their way from perception systems to plan...
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05/23/2023
On the Size and Approximation Error of Distilled Sets
Dataset Distillation is the task of synthesizing small datasets from lar...
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05/19/2023
AutoCoreset: An Automatic Practical Coreset Construction Framework
A coreset is a tiny weighted subset of an input set, that closely resemb...
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04/23/2023
Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow
Semi-cooperative behaviors are intrinsic properties of human drivers and...
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03/21/2023
Infrastructure-based End-to-End Learning and Prevention of Driver Failure
Intelligent intersection managers can improve safety by detecting danger...
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03/09/2023
Provable Data Subset Selection For Efficient Neural Network Training
Radial basis function neural networks (RBFNN) are well-known for their c...
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02/16/2023
Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
Accurate control of autonomous marine robots still poses challenges due ...
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02/13/2023
Dataset Distillation with Convexified Implicit Gradients
We propose a new dataset distillation algorithm using reparameterization...
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02/02/2023
Dataset Distillation Fixes Dataset Reconstruction Attacks
Modern deep learning requires large volumes of data, which could contain...
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12/21/2022
Cooperative Flight Control Using Visual-Attention – Air-Guardian
The cooperation of a human pilot with an autonomous agent during flight ...
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11/29/2022
Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks
We study the problem of training and certifying adversarially robust qua...
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10/22/2022
Solving Continuous Control via Q-learning
While there has been substantial success in applying actor-critic method...
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10/21/2022
Efficient Dataset Distillation Using Random Feature Approximation
Dataset distillation compresses large datasets into smaller synthetic co...
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10/21/2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Two key challenges facing modern deep learning are mitigating deep netwo...
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10/20/2022
Pruning by Active Attention Manipulation
Filter pruning of a CNN is typically achieved by applying discrete masks...
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10/10/2022
PyHopper – Hyperparameter optimization
Hyperparameter tuning is a fundamental aspect of machine learning resear...
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10/09/2022
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap
There is an ever-growing zoo of modern neural network models that can ef...
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10/04/2022
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing
In 2021, the Coordinated Science Laboratory CSL, an Interdisciplinary Re...
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09/26/2022
Liquid Structural State-Space Models
A proper parametrization of state transition matrices of linear state-sp...
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09/21/2022
Deep Learning on Home Drone: Searching for the Optimal Architecture
We suggest the first system that runs real-time semantic segmentation vi...
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06/25/2022
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling
The learning and aggregation of multi-scale features are essential in em...
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06/02/2022
Entangled Residual Mappings
Residual mappings have been shown to perform representation learning in ...
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05/31/2022
Multi-robot Task Assignment for Aerial Tracking with Viewpoint Constraints
We address the problem of assigning a team of drones to autonomously cap...
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05/31/2022
Free-Space Ellipsoid Graphs for Multi-Agent Target Monitoring
We apply a novel framework for decomposing and reasoning about free spac...
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05/26/2022
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Multi-sensor fusion is essential for an accurate and reliable autonomous...
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05/18/2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
Experience replay plays a crucial role in improving the sample efficienc...
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04/15/2022
End-to-End Sensitivity-Based Filter Pruning
In this paper, we present a novel sensitivity-based filter pruning algor...
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04/15/2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning
Adversarial training (i.e., training on adversarially perturbed input da...
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04/05/2022
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models
In most classical Autonomous Vehicle (AV) stacks, the prediction and pla...
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02/27/2022
Concept Graph Neural Networks for Surgical Video Understanding
We constantly integrate our knowledge and understanding of the world to ...
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11/23/2021
Learning Interactive Driving Policies via Data-driven Simulation
Data-driven simulators promise high data-efficiency for driving policy l...
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11/23/2021
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Simulation has the potential to transform the development of robust algo...
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11/03/2021
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Reinforcement learning (RL) for continuous control typically employs dis...
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10/04/2021
Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges
Continuum soft robots are mechanical systems entirely made of continuous...
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07/23/2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
We present a novel global compression framework for deep neural networks...
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07/18/2021
GoTube: Scalable Stochastic Verification of Continuous-Depth Models
We introduce a new stochastic verification algorithm that formally quant...
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07/13/2021
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
We present methods for co-designing rigid robots over control and morpho...
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06/25/2021
Closed-form Continuous-Depth Models
Continuous-depth neural models, where the derivative of the model's hidd...
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06/24/2021
Sparse Flows: Pruning Continuous-depth Models
Continuous deep learning architectures enable learning of flexible proba...
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06/15/2021
Causal Navigation by Continuous-time Neural Networks
Imitation learning enables high-fidelity, vision-based learning of polic...
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06/13/2021
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
Robustness to variations in lighting conditions is a key objective for a...
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06/03/2021
Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation
Exploiting multi-scale features has shown great potential in tackling se...
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05/20/2021
Efficient and Robust LiDAR-Based End-to-End Navigation
Deep learning has been used to demonstrate end-to-end neural network lea...
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05/10/2021
SUrgical PRediction GAN for Events Anticipation
Comprehension of surgical workflow is the foundation upon which computer...
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05/10/2021
Estimating the State of Epidemics Spreading with Graph Neural Networks
When an epidemic spreads into a population, it is often unpractical or i...
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04/22/2021
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
We propose a framework for tightly-coupled lidar-visual-inertial odometr...
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04/17/2021