Publications — DeepDynamics Lab

Selected

2026
What Reservoirs Can Say? Sofic Languages and Finite-Type Views of Echo State Dynamics
P. Singh and R. Balasubramanian · IEEE Transactions on Neural Networks and Learning Systems · In press
Impact Factor 11.9 · Q1
2026
Symbolic Ordinal Partition Reservoirs for Model-Free Forecasting of Chaotic Flows
P. Singh, Hrishit B. P., S. Ghosh, A. Kumar and R. Balasubramanian · IEEE Transactions on Emerging Topics in Computational Intelligence
Impact Factor 6.5 · Q1 · Publisher ↗
2026
Thalamocortical Burst Gating Enables Event-Locked Memory
P. Singh and R. Balasubramanian · Knowledge-Based Systems · vol. 333, 114947
Impact Factor 8.0 · Q1 · Publisher ↗
2026
Topologically Informed Echo State Networks via Poincaré Return Maps for Chaotic Time-Series
P. Singh, A. Kumar, S. Ghosh and R. Balasubramanian · Neural Networks
Impact Factor 7.2 · Q1 · Publisher ↗
2026
Adaptive Group-Weighted Convolutions: Enhancing Equivariant Networks via Learnable Symmetry Importance Maps
P. Singh, K. Sharma and R. Balasubramanian · Neurocomputing · vol. 671, 132689
Impact Factor 6.7 · Q1 · Publisher ↗
2026
Holonomy Grid Codes for Generalisation Under Directed Actions
P. Singh and R. Balasubramanian · Forty-Third International Conference on Machine Learning (ICML) · Seoul, South Korea · July 6–11, 2026
CORE A* · Paper ↗
2025
HypER: Hyperbolic Echo State Networks for Capturing Stretch-and-Fold Dynamics in Chaotic Flows
P. Singh, S. Ghosh, A. Kumar, Hrishit B. P. and R. Balasubramanian · European Conference on Artificial Intelligence (ECAI) · Bologna, Italy · vol. 413, pp. 3186–3193
CORE A · Publisher ↗

Selected works.

Selected

What Reservoirs Can Say? Sofic Languages and Finite-Type Views of Echo State Dynamics

Symbolic Ordinal Partition Reservoirs for Model-Free Forecasting of Chaotic Flows

Thalamocortical Burst Gating Enables Event-Locked Memory

Topologically Informed Echo State Networks via Poincaré Return Maps for Chaotic Time-Series

Adaptive Group-Weighted Convolutions: Enhancing Equivariant Networks via Learnable Symmetry Importance Maps

Holonomy Grid Codes for Generalisation Under Directed Actions

HypER: Hyperbolic Echo State Networks for Capturing Stretch-and-Fold Dynamics in Chaotic Flows