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cs.LG2026
When More Memory Fails: Hidden Feasibility Holes in Dynamic Tensor Rematerialization
Mahesh Reddy Pagadala
Dynamic Tensor Rematerialization (DTR) trains neural networks under a memory budget by evicting tensors and recomputing them on demand. A natural expectation is that a budget large…
cs.LG2026
History, Adaptation, and Hidden Gain: Two Prospective Tests of Learned Predictive Control in a Synthetic Neural Population
Mahesh Reddy Pagadala
We study learned one-step predictive control of a synthetic population of 64 leaky integrate-and-fire neurons whose light sensitivity is scaled by a hidden factor s, using two pros…
cs.LG2026
Deterministic Regime Switching and Feasibility Inversion in Dynamic Tensor Rematerialization
Mahesh Reddy Pagadala
We report fine-grained, deterministic instability in Dynamic Tensor Rematerialization (DTR), an online eviction policy for memory-constrained DNN training, measured on the referenc…