Daniela Rus

21

Papers

57

Total Citations

Papers (21)

Dimensionality Reduction of Massive Sparse Datasets Using Coresets

NeurIPS 2016arXiv

The Quest for Universal Master Key Filters in DS-CNNs

NeurIPS 2025arXiv

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

The Master Key Filters Hypothesis: Deep Filters Are General

Information-Driven Adaptive Structured-Light Scanners

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

Large Scale Dataset Distillation with Domain Shift

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

NeurIPS 2025arXiv

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

Efficient Dataset Distillation using Random Feature Approximation

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

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

On the Size and Approximation Error of Distilled Datasets

Coresets for Vector Summarization with Applications to Network Graphs

Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations

Deep Evidential Regression

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

Causal Navigation by Continuous-time Neural Networks

Sparse Flows: Pruning Continuous-depth Models

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

Evolution of Neural Tangent Kernels under Benign and Adversarial Training