Adrian Weller

Graph Random Features for Scalable Gaussian Processes

ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning

Neural Mutual Information Estimation in Real Time via Pre-trained Hypernetworks

Evaluating Language Models' Evaluations of Games

Wavelet-Induced Rotary Encodings: RoPE Meets Graphs

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning

Can Large Language Models Understand Symbolic Graphics Programs?

From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization

Neural Mutual Information Estimation with Vector Copulas

Certification for Differentially Private Prediction in Gradient-Based Training

PoE-World: Compositional World Modeling with Products of Programmatic Experts

Gridded Transformer Neural Processes for Spatio-Temporal Data

Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention

Linear Transformer Topological Masking with Graph Random Features

Variance-Reducing Couplings for Random Features

Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data

Semi-autoregressive Decoding for Efficient LLM Inference

Neural Mutual Information Estimation with Reference Distributions