23 citations · 64 across the 18 of their papers we have counts for
4 papers · 1 filter
Empowerment Gain and Causal Model Construction: Children and adults are sensitive to controllability and variability in their causal interventions
Eunice Yiu, Kelsey Allen, Shiry Ginosar +1
Learning about the causal structure of the world is a fundamental problem for human cognition. Causal models and especially causal learning have proved to be difficult for large pr…
Frozen Forecasting: A Unified Evaluation
Jacob C Walker, Pedro Vélez, Luisa Polania Cabrera +7
Forecasting future events is a fundamental capability for general-purpose systems that plan or act across different levels of abstraction. Yet, evaluating whether a forecast is "co…
Poly-Autoregressive Prediction for Modeling Interactions
Neerja Thakkar, Tara Sadjadpour, Jathushan Rajasegaran +2
We introduce a simple framework for predicting the behavior of an agent in multi-agent settings. In contrast to autoregressive (AR) tasks, such as language processing, our focus is…
Gaussian Masked Autoencoders
Jathushan Rajasegaran, Xinlei Chen, Rulilong Li +3
This paper explores Masked Autoencoders (MAE) with Gaussian Splatting. While reconstructive self-supervised learning frameworks such as MAE learns good semantic abstractions, it is…