Reverberation: Learning the Latencies Before Forecasting Trajectories
The episode discusses the paper "Reverberation: Learning the Latencies Before Forecasting Trajectories," by Wong et al. The hosts analyze how this research introduces a Reverberation Transform to learn temporal delays, or latencies, for both self-sourced and social events. They conclude that explicitly modeling these latency preferences allows AI systems to be more robust, causal, and better integrated with human-like anticipation.