23 citations · 99 across the 15 of their papers we have counts for
18 papers
Learning a Latent Pulse Shape Interface for Photoinjector Laser Systems
Alexander Klemps, Denis Ilia, Pradeep Kr. Banerjee +3
Controlling the longitudinal laser pulse shape in photoinjectors of Free-Electron Lasers is a powerful lever for optimizing electron beam quality, but systematic exploration of the…
Dynamics-Aligned Shared Hypernetworks for Contextual RL under Discontinuous Shifts
Jan Benad, Pradeep Kr. Banerjee, Frank Röder +3
Zero-shot generalization in contextual reinforcement learning remains a core challenge, particularly when the context is latent and must be inferred from data. A canonical failure…
Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization
Frank Röder, Jan Benad, Manfred Eppe +1
Real-world reinforcement learning demands adaptation to unseen environmental conditions without costly retraining. Contextual Markov Decision Processes (cMDP) model this challenge,…
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montúfar
Graph neural networks (GNNs) are able to leverage the structure of graph data by passing messages along the edges of the graph. While this allows GNNs to learn features depending o…
Oversquashing in GNNs through the lens of information contraction and graph expansion
Pradeep Kr. Banerjee, Kedar Karhadkar, Yu Guang Wang +2
The quality of signal propagation in message-passing graph neural networks (GNNs) strongly influences their expressivity as has been observed in recent works. In particular, for pr…
Continuity and Additivity Properties of Information Decompositions
Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich +2
Information decompositions quantify how the Shannon information about a given random variable is distributed among several other random variables. Various requirements have been pr…