Tag: Application

The process of identifying and mitigating unwanted radio frequency signals that can disrupt data collection in radio astronomy.

A form of reinforcement learning that utilizes spike-based neural coding for decision-making and learning.

The process of designing algorithms in a way that their workings and decisions can be easily understood.

A complex scheduling problem where jobs must be assigned to machines with varying capabilities and constraints to optimize performance metrics.

A benchmark suite for assessing video reasoning abilities in generative video models.

A dedicated dataset created for training and evaluating models on the Video-Next-Event Prediction task.

A dataset designed for testing human reconstruction algorithms.

A large-scale dataset for human avatar reconstruction tasks.

A dataset used for benchmarking human avatar reconstruction methods.