Skip to content
conftrace_

Guy Rosman

15 papers · 2014–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+5 more ↓ 🗺️ Taxonomy Completionist (39) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Gold 🏃 Academic Marathon · Half
🧬 Topic Evolution 📈 Trend Setter 🌈 Renaissance Researcher (7) 💎 Century Club · Bronze 🗃️ Keyword Collector (95)

Venues

CVPR (5) CoRL (4) RSS (3) ICLR (1) L4DC (1) NeurIPS (1)

Top co-authors

Daniela Rus (5) Jonathan DeCastro (5) John W. Fisher III (4) Sertac Karaman (3) Haimin Hu (2) Andrew Silva (2) Oren Freifeld (2) Igor Gilitschenski (2) Emily Sumner (2) Jaime Fernández Fisac (2)

Research topics

Artificial Intelligence (10) Machine Learning (9) Core AI (9) Computer Vision (6) Reinforcement Learning (5) Analysis (5) Methods (4) Optimization & Theory (4) Applications (3) Computer Science (2) Robotics (2) Application Areas (2) Bayesian & Probabilistic (2) Capabilities (2) Learning Types (2)

Keywords

policy learning (2) real-time processing (2) 3d reconstruction (2) autonomous driving (2) shape from shading (2) uncertainty modeling (1) sim-to-real transfer (1) reinforcement learning (1) hierarchical learning (1) k-means clustering (1) uncertainty quantification (1) image fusion (1) imitation learning (1) trajectory prediction (1) adaptive sampling (1) bayesian inference (1) trajectory forecasting (1) markov chain monte carlo (1) hierarchical reinforcement learning (1) pose estimation (1)

Papers

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making L4DC 2026 ReGen: Generative Robot Simulation via Inverse Design ICLR 2025 Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports RSS 2025 Blending Data-Driven Priors in Dynamic Games RSS 2024 Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing CoRL 2024 Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation CoRL 2023 Differentiable Logic Layer for Rule Guided Trajectory Prediction CoRL 2020 MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control CoRL 2020 Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020 Information-Driven Adaptive Structured-Light Scanners CVPR 2016 Real-Time Depth Refinement for Specular Objects CVPR 2016 RGBD-Fusion: Real-Time High Precision Depth Recovery CVPR 2015 Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014 A Mixture of Manhattan Frames: Beyond the Manhattan World CVPR 2014 Coresets for k-Segmentation of Streaming Data NeurIPS 2014