Daniela Rus

ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning ICML 2025 Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo CoRL 2025 Oscillatory State-Space Models ICLR 2025 ReGen: Generative Robot Simulation via Inverse Design ICLR 2025 SafeDiffuser: Safe Planning with Diffusion Probabilistic Models ICLR 2025 Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning RSS 2025 TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding ACL 2025 The Master Key Filters Hypothesis: Deep Filters Are General AAAI 2025 Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models ICML 2025 DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NeurIPS 2024 Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks CoRL 2024 Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024 Large Scale Dataset Distillation with Domain Shift ICML 2024 Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control ICLR 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery ICML 2024 Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields WACV 2024 Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation ICLR 2024 Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels ICLR 2024 AutoCoreset: An Automatic Practical Coreset Construction Framework ICML 2023 Dataset Distillation with Convexified Implicit Gradients ICML 2023 DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models NeurIPS 2023 Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation CoRL 2023 Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning NeurIPS 2023 Learning Stability Attention in Vision-based End-to-end Driving Policies L4DC 2023 Liquid Structural State-Space Models ICLR 2023 Measuring Interpretability of Neural Policies of Robots with Disentangled Representation CoRL 2023 On the Forward Invariance of Neural ODEs ICML 2023 On the Size and Approximation Error of Distilled Datasets NeurIPS 2023 Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023 Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks AAAI 2023 SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments ICLR 2023 Solving Continuous Control via Q-learning ICLR 2023 ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment NeurIPS 2022 Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models L4DC 2022 Efficient Dataset Distillation using Random Feature Approximation NeurIPS 2022 Evolution of Neural Tangent Kernels under Benign and Adversarial Training NeurIPS 2022 GoTube: Scalable Statistical Verification of Continuous-Depth Models AAAI 2022 Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022 Causal Navigation by Continuous-time Neural Networks NeurIPS 2021 Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NeurIPS 2021 Deep Learning meets Projective Clustering ICLR 2021 Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis L4DC 2021 GROUNDED: The Localizing Ground Penetrating Radar Evaluation Dataset RSS 2021 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NeurIPS 2021 Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor CoRL 2021 Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles CoRL 2021 Liquid Time-constant Networks AAAI 2021 On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification ICML 2021 Sparse Flows: Pruning Continuous-depth Models NeurIPS 2021 Strength Through Diversity: Robust Behavior Learning via Mixture Policies CoRL 2021 The Logical Options Framework ICML 2021 A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits ICML 2020 Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior AAAI 2020 Deep Evidential Regression NeurIPS 2020 Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space CoRL 2020 Deep Orientation Uncertainty Learning based on a Bingham Loss ICLR 2020 Differentiable Logic Layer for Rule Guided Trajectory Prediction CoRL 2020 Learning to Plan via Deep Optimistic Value Exploration L4DC 2020 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020 Provable Filter Pruning for Efficient Neural Networks ICLR 2020 Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds ICLR 2019 Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations NeurIPS 2019 Learning to Plan with Logical Automata RSS 2019 Plug-and-Play Supervisory Control Using Muscle and Brain Signals for Real-Time Gesture and Error Detection RSS 2018 Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees RSS 2018 Coresets for Vector Summarization with Applications to Network Graphs ICML 2017 Dimensionality Reduction of Massive Sparse Datasets Using Coresets NeurIPS 2016 Information-Driven Adaptive Structured-Light Scanners CVPR 2016 Guaranteeing Spoof-Resilient Multi-Robot Networks RSS 2015 Asking for Help Using Inverse Semantics RSS 2014 Coresets for k-Segmentation of Streaming Data NeurIPS 2014 Distributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussians RSS 2012 Practical Route Planning Under Delay Uncertainty: Stochastic Shortest Path Queries RSS 2012 What's in the Bag: A Distributed Approach to 3D Shape Duplication with Modular Robots RSS 2012 Load Balancing for Mobility-on-Demand Systems RSS 2011 Probabilistic Models of Object Geometry for Grasp Planning RSS 2008