Marco Pavone

93 papers · 2011–2025 · 14 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (23) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (14) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (14) 🐝 Cross-Pollinator (14) 🏆 Keyword Champion (2) 👑 Triple Crown 🧬 Topic Evolution 🔬 Deep Specialist (16) 🤝 Dynamic Duo (32) 📈 Trend Setter ⚡ Prolific Year (5) 🔥 Unstoppable (12) ❓ The Questioner 🗃️ Keyword Collector (58) 💎 Century Club (93)

Conferences

CORL (18) RSS (16) NIPS (14) CVPR (10) ICLR (8) ECCV (5) L4DC (5) AISTATS (4) ICCV (4) ICML (4) UAI (2) ACL (1) JMLR (1) NAACL (1)

Top co-authors

Boris Ivanovic (32) Yue Wang (15) Boyi Li (13) Xinshuo Weng (10) Yulong Cao (8) Edward Schmerling (8) Danfei Xu (7) Apoorva Sharma (7) Heng Yang (6) Sushant Veer (6)

Research topics

Learning Paradigms (1) Robotics (1) Optimization (1)

Keywords

autonomous driving (9) autonomous vehicle (8) trajectory prediction (7) motion planning (5) large language model (4) novel view synthesis (4) vision-language model (4) uncertainty quantification (3) multi-agent system (3) neural network (3) neural radiance field (3) neural network verification (3) optimal control (3) depth estimation (2) trajectory forecasting (2) representation learning (2) zero-shot learning (2) neural rendering (2) self-supervised learning (2) model compression (2)

Papers

Scaling Vision Pre-Training to 4K Resolution CVPR 2025

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models CVPR 2025

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences ACL 2025

Pseudo-Simulation for Autonomous Driving CORL 2025

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models CORL 2025

STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes ICLR 2025

OmniRe: Omni Urban Scene Reconstruction ICLR 2025

Language-Image Models with 3D Understanding ICLR 2025

Offline Hierarchical Reinforcement Learning via Inverse Optimization ICLR 2025

Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning CORL 2025

Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation CORL 2025

CUPID: Curating Data your Robot Loves with Influence Functions CORL 2025

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models ICLR 2025

LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search NAACL 2025

Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion ICLR 2025

Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation ICCV 2025

Describe Anything: Detailed Localized Image and Video Captioning ICCV 2025

Extrapolated Urban View Synthesis Benchmark ICCV 2025

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress CORL 2024

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NIPS 2024

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking NIPS 2024

Large Spatial Model: End-to-end Unposed Images to Semantic 3D NIPS 2024

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NIPS 2024

Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data NIPS 2024

DiffuBox: Refining 3D Object Detection with Point Diffusion NIPS 2024

Memorize What Matters: Emergent Scene Decomposition from Multitraverse NIPS 2024

Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction CORL 2024

Q-SLAM: Quadric Representations for Monocular SLAM CORL 2024

Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving CORL 2024

Promptable Closed-loop Traffic Simulation CORL 2024

Driving Everywhere with Large Language Model Policy Adaptation CVPR 2024

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction CVPR 2024

PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving CVPR 2024

Dolphins: Multimodal Language Model for Driving ECCV 2024

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios ECCV 2024

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention ECCV 2024

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision ICLR 2024

Parallelized Spatiotemporal Slot Binding for Videos ICML 2024

Learning for CasADi: Data-driven Models in Numerical Optimization L4DC 2024

Real-Time Anomaly Detection and Reactive Planning with Large Language Models RSS 2024

Language Conditioned Traffic Generation CORL 2023

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NIPS 2023

Robust and Controllable Object-Centric Learning through Energy-based Models ICLR 2023

Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles RSS 2023

Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors CORL 2023

Language-Guided Traffic Simulation via Scene-Level Diffusion CORL 2023

Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation CVPR 2023

Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems L4DC 2023

FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization CVPR 2023

Learning Control-Oriented Dynamical Structure from Data ICML 2023

Graph Reinforcement Learning for Network Control via Bi-Level Optimization ICML 2023

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models ICML 2023

trajdata: A Unified Interface to Multiple Human Trajectory Datasets NIPS 2023

Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles CORL 2022

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction ECCV 2022

Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles CORL 2022

Robust Trajectory Prediction against Adversarial Attacks CORL 2022

Local calibration: metrics and recalibration UAI 2022

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings L4DC 2022

A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis L4DC 2022

Second-Order Sensitivity Analysis for Bilevel Optimization AISTATS 2022

A Unified View of SDP-based Neural Network Verification through Completely Positive Programming AISTATS 2022

Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction CVPR 2022

Motron: Multimodal Probabilistic Human Motion Forecasting CVPR 2022

ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning CVPR 2022

Co-Design of Communication and Machine Inference for Cloud Robotics RSS 2021

SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions L4DC 2021

Sketching curvature for efficient out-of-distribution detection for deep neural networks UAI 2021

Data Sharing and Compression for Cooperative Networked Control NIPS 2021

Lyapunov-stable neural-network control RSS 2021

Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems RSS 2021

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control CORL 2020

Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling CORL 2020

Continuous Meta-Learning without Tasks NIPS 2020

Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data ECCV 2020

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders NIPS 2020

Network Offloading Policies for Cloud Robotics: A Learning-Based Approach RSS 2019

High-Dimensional Optimization in Adaptive Random Subspaces NIPS 2019

A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization RSS 2019

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach RSS 2019

The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs ICCV 2019

Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization RSS 2019

Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019

On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms RSS 2018

Risk-Constrained Reinforcement Learning with Percentile Risk Criteria JMLR 2018

Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies RSS 2018

Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 2017

Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning RSS 2017

Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms RSS 2016

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NIPS 2015

Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective RSS 2014

Load Balancing for Mobility-on-Demand Systems RSS 2011