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Federico Arangath Joseph

2 accepted papers

2025

Lambda-Skip Connections: the architectural component that prevents Rank Collapse

ICLR 2025poster

Rank collapse, a phenomenon where embedding vectors in sequence models rapidly converge to a uniform token or equilibrium state, has recently gained at- tention in the deep learning literature. This phenomenon leads to reduced expres- sivity and potential training instabilities due to vanishing grad…

Cited by 0SourcePDFScholar
2024

Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction

ICML 2024poster

How can a scientist use a Reinforcement Learning (RL) algorithm to design experiments over a dynamical system's state space? In the case of finite and Markovian systems, an area called *Active Exploration* (AE) relaxes the optimization problem of experiments design into Convex RL, a generalization o…

Cited by 1SourcePDFScholar