4 papers
Logic-Guided Vector Fields for Constrained Generative Modeling
Ali Baheri
Neuro-symbolic systems aim to combine the expressive structure of symbolic logic with the flexibility of neural learning; yet, generative models typically lack mechanisms to enforc…
Federated Distributional Reinforcement Learning with Distributional Critic Regularization
David Millard, Cecilia Alm, Rashid Ali +2
Federated reinforcement learning typically aggregates value functions or policies by parameter averaging, which emphasizes expected return and can obscure statistical multimodality…
Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings
Ali Baheri
Non-Euclidean foundation models increasingly place representations in curved spaces such as hyperbolic geometry. We show that this geometry creates a boundary-driven asymmetry that…
Hierarchical Neuro-Symbolic Decision Transformer
Ali Baheri, Cecilia O. Alm
We present a hierarchical neuro-symbolic control framework that tightly couples a classical symbolic planner with a transformer-based policy to address long-horizon decision-making…