Boris Ivanovic

LEARNING COMPOSITE REPRESENTATIONS OF TEMPORALLY CHANGING SCENES FOR AUTONOMOUS AGENTS

TECHNIQUES FOR PERFORMING LOW-RANK SELF-CALIBRATION OF 3D GEOMETRIC FOUNDATION MODELS

SPATIO-TEMPORAL RECONSTRUCTION MODELING

FOUR-DIMENSIONAL SCENE GENERATION FOR AUTONOMOUS DRIVING

CLOSED-LOOP SUPERVISED FINE-TUNING OF TOKENIZED TRAFFIC MODELS

WORLD SUMMARIZATION FRAMEWORK

DIFFERENTIABLE AND MODULAR END-TO-END STACKS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

NEURAL NETWORK TRAJECTORY PREDICTION

MULTI-MODAL LARGE LANGUAGE MODEL WITH TOKENIZED OBJECT-LEVEL KNOWLEDGE FOR AUTONOMOUS DRIVING

DISTILLING NEURAL RADIANCE FIELDS INTO SPARSE HIERARCHICAL VOXEL MODELS FOR GENERALIZABLE SCENE REPRESENTATION PREDICTION

TECHNIQUES FOR CONTROLLING VEHICLES USING PARALLELIZED MACHINE LEARNING MODELS

TECHNIQUES FOR ADAPTIVE DRIVING USING LANGUAGE MODELS

SCENE GENERATION USING NEURAL RADIANCE FIELDS

REINFORCEMENT LEARNING FOR TRAFFIC SIMULATION

POLICY PLANNING USING BEHAVIOR MODELS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

TASK-RELEVANT FAILURE DETECTION FOR TRAJECTORY PREDICTION IN MACHINES

DIFFERENTIABLE AND MODULAR PREDICTION AND PLANNING FOR AUTONOMOUS MACHINES

TECHNIQUES TO PERFORM TRAJECTORY PREDICTIONS

NEURAL NETWORK TRAJECTORY PREDICTION

TECHNIQUES FOR GENERATING SIMULATIONS FOR AUTONOMOUS MACHINES AND APPLICATIONS