5.7k citations · 15.5k across the 75 of their papers we have counts for
77 papers
Representing and Learning Functions Invariant Under Crystallographic Groups
Ryan P. Adams, Peter Orbanz
Crystallographic groups describe the symmetries of crystals and other repetitive structures encountered in nature and the sciences. These groups include the wallpaper and space gro…
Multi-fidelity Monte Carlo: a pseudo-marginal approach
Diana Cai, Ryan P. Adams
Markov chain Monte Carlo (MCMC) is an established approach for uncertainty quantification and propagation in scientific applications. A key challenge in applying MCMC to scientific…
ProBF: Learning Probabilistic Safety Certificates with Barrier Functions
Athindran Ramesh Kumar, Sulin Liu, Jaime F. Fisac +2
Safety-critical applications require controllers/policies that can guarantee safety with high confidence. The control barrier function is a useful tool to guarantee safety if we ha…
Vitruvion: A Generative Model of Parametric CAD Sketches
Ari Seff, Wenda Zhou, Nick Richardson +1
Parametric computer-aided design (CAD) tools are the predominant way that engineers specify physical structures, from bicycle pedals to airplanes to printed circuit boards. The key…
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh, Jad Rahme, Aviral Kumar +3
Generalization is a central challenge for the deployment of reinforcement learning (RL) systems in the real world. In this paper, we show that the sequential structure of the RL pr…
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Xingyuan Sun, Tianju Xue, Szymon Rusinkiewicz +1
In design, fabrication, and control problems, we are often faced with the task of synthesis, in which we must generate an object or configuration that satisfies a set of constraint…