Boris Ivanovic
収録論文 57本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Cosmos 3: Omnimodal World Models for Physical AI2026/6/1
- Planning-aligned Token Compression for Long-Context Autonomous Driving2026/6/1
- A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models2026/6/1
- X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation2026/6/1
- 123D: Unifying Multi-Modal Autonomous Driving Data at Scale2026/5/1
- Accelerating Structured Chain-of-Thought in Autonomous Vehicles2026/2/1
- Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning2025/12/1
- Latent Chain-of-Thought World Modeling for End-to-End Driving2025/12/1
- RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies2025/12/1
- Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail2025/11/1
- UDON: Uncertainty-weighted Distributed Optimization for Multi-Robot Neural Implicit Mapping under Extreme Communication Constraints2025/9/1
- Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators2025/7/1
- Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving2025/6/1
- Pseudo-Simulation for Autonomous Driving2025/6/1
- Trends in Motion Prediction Toward Deployable and Generalizable Autonomy: A Revisit and Perspectives2025/5/1
- Data Scaling Laws for End-to-End Autonomous Driving2025/4/1
- RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping2025/2/1
- Extrapolated Urban View Synthesis Benchmark2024/12/1
- LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models2024/12/1
- Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning2024/10/1
- Promptable Closed-loop Traffic Simulation2024/9/1
- Distributed NeRF Learning for Collaborative Multi-Robot Perception2024/9/1
- System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles2024/9/1
- Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving2024/7/1
- Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention2024/7/1
- DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features2024/6/1
- NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking2024/6/1
- Producing and Leveraging Online Map Uncertainty in Trajectory Prediction2024/3/1
- Driving Everywhere with Large Language Model Policy Adaptation2024/2/1
- DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving2023/10/1
- Reinforcement Learning with Human Feedback for Realistic Traffic Simulation2023/9/1
- trajdata: A Unified Interface to Multiple Human Trajectory Datasets2023/7/1
- Language-Guided Traffic Simulation via Scene-Level Diffusion2023/6/1
- Tree-structured Policy Planning with Learned Behavior Models2023/1/1
- DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles2022/12/1
- Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models2022/10/1
- Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning2022/9/1
- BITS: Bi-level Imitation for Traffic Simulation2022/8/1
- Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles2022/7/1
- ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning2022/6/1
- Propagating State Uncertainty Through Trajectory Forecasting2021/10/1
- MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation2021/10/1
- Injecting Planning-Awareness into Prediction and Detection Evaluation2021/10/1
- Sample-Efficient Safety Assurances using Conformal Prediction2021/9/1
- Rethinking Trajectory Forecasting Evaluation2021/7/1
- Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty2021/4/1
- Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions2020/12/1
- Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders2020/10/1
- Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction2020/9/1
- MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control2020/9/1
- Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach2020/8/1
- Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data2020/1/1
- Map-Predictive Motion Planning in Unknown Environments2019/10/1
- The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs2018/10/1
- BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning2018/6/1
- Generative Modeling of Multimodal Multi-Human Behavior2018/3/1
- ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems2017/7/1