Daniela Rus

papers

1,154

total citations

papers (23)

Deep Evidential Regression

NEURIPS 2020arXiv

567

citations

Efficient Dataset Distillation using Random Feature Approximation

NEURIPS 2022arXiv

132

citations

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

ICML 2024arXiv

citations

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models

ICLR 2025arXiv

citations

Causal Navigation by Continuous-time Neural Networks

NEURIPS 2021arXiv

citations

Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition

NEURIPS 2021arXiv

citations

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies

NEURIPS 2021arXiv

citations

ReasonIR: Training Retrievers for Reasoning Tasks

COLM 2025arXiv

citations

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

NEURIPS 2023arXiv

citations

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation

ICLR 2024arXiv

citations

ReGen: Generative Robot Simulation via Inverse Design

ICLR 2025arXiv

citations

The Master Key Filters Hypothesis: Deep Filters Are General

AAAI 2025arXiv

citations

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

ICLR 2024arXiv

citations

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models

ICML 2025arXiv

citations

The Quest for Universal Master Key Filters in DS-CNNs

NEURIPS 2025arXiv

citations

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment

NEURIPS 2022

citations

Large Scale Dataset Distillation with Domain Shift

ICML 2024

citations

Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples

NEURIPS 2025arXiv

citations

On the Size and Approximation Error of Distilled Datasets

NEURIPS 2023

citations

Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning

NEURIPS 2023

citations

Daniela Rus

papers (23)

Deep Evidential Regression

Efficient Dataset Distillation using Random Feature Approximation

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models

Causal Navigation by Continuous-time Neural Networks

Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies

ReasonIR: Training Retrievers for Reasoning Tasks

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Oscillatory State-Space Models

Sparse Flows: Pruning Continuous-depth Models

Evolution of Neural Tangent Kernels under Benign and Adversarial Training

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation

ReGen: Generative Robot Simulation via Inverse Design

The Master Key Filters Hypothesis: Deep Filters Are General

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models

The Quest for Universal Master Key Filters in DS-CNNs

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment

Large Scale Dataset Distillation with Domain Shift

Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples

On the Size and Approximation Error of Distilled Datasets

Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning

papers (23)

Deep Evidential Regression

Efficient Dataset Distillation using Random Feature Approximation

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models

Causal Navigation by Continuous-time Neural Networks

Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies

ReasonIR: Training Retrievers for Reasoning Tasks

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

Oscillatory State-Space Models

Sparse Flows: Pruning Continuous-depth Models

Evolution of Neural Tangent Kernels under Benign and Adversarial Training

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation

ReGen: Generative Robot Simulation via Inverse Design

The Master Key Filters Hypothesis: Deep Filters Are General

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models

The Quest for Universal Master Key Filters in DS-CNNs

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment

Large Scale Dataset Distillation with Domain Shift

Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples

On the Size and Approximation Error of Distilled Datasets

Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning