Sertac Karaman
19 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(34)
π€
Dynamic Duo
(11)
π
Conference Pioneer
ποΈ
Keyword Collector
(84)
β‘
Prolific Year
(5)
π₯
Unstoppable
(7)
π
Century Club
(19)
π
Trend Setter
Conferences
CORL (6)
RSS (6)
L4DC (3)
ICLR (2)
ICML (1)
NIPS (1)
Top co-authors
Keywords
value function
(2)
temporal logic
(2)
motion control
(2)
deep reinforcement learning
(2)
bayesian optimization
(2)
model-based reinforcement learning
(2)
upper confidence bound
(2)
black-box optimization
(1)
sim-to-real transfer
(1)
sample efficiency
(1)
efficient computing
(1)
formal verification
(1)
mutual information
(1)
trajectory prediction
(1)
autonomous driving
(1)
imitation learning
(1)
off-policy learning
(1)
uncertainty quantification
(1)
curse of dimensionality
(1)
continuous control
(1)
Papers
Highly Compressed Tokenizer Can Generate Without Training
ICML 2025
ReGen: Generative Robot Simulation via Inverse Design
ICLR 2025
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
CORL 2023
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization
RSS 2022
Real-Time Generation of Time-Optimal Quadrotor Trajectories with Semi-Supervised Seq2Seq Learning
CORL 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
L4DC 2022
Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis
L4DC 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
CORL 2021
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor
CORL 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
CORL 2020
Learning to Plan via Deep Optimistic Value Exploration
L4DC 2020
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers
RSS 2020
Deep Orientation Uncertainty Learning based on a Bingham Loss
ICLR 2020
Differentiable Logic Layer for Rule Guided Trajectory Prediction
CORL 2020
High-Throughput Computation of Shannon Mutual Information on Chip
RSS 2019
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees
RSS 2018
Invertibility of Convolutional Generative Networks from Partial Measurements
NIPS 2018
Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach
RSS 2017
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition
RSS 2015