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cs.CV2025
A Geometric Approach to Steerable Convolutions
Soumyabrata Kundu, Risi Kondor
In contrast to the somewhat abstract, group theoretical approach adopted by many papers, our work provides a new and more intuitive derivation of steerable convolutional neural net…
cs.LG2025
Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks
Su Hyeong Lee, Risi Kondor, Richard Ngo
We develop a theory of intelligent agency grounded in probabilistic modeling for neural models. Agents are represented as outcome distributions with epistemic utility given by log…
cs.LG2025
Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size
Smayan Khanna, Doruk Efe Gökmen, Risi Kondor +1
Graph Contrastive Learning (GCL) has emerged as a leading paradigm for self-supervised learning on graphs, with strong performance reported on standardized datasets and growing app…