Thomas Jiralerspong

According to our database1, Thomas Jiralerspong authored at least 11 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control.
CoRR, February, 2025

Expressivity of Neural Networks with Random Weights and Learned Biases.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Geometric Signatures of Compositionality Across a Language Model's Lifetime.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
General Causal Imputation via Synthetic Interventions.
CoRR, 2024

A Complexity-Based Theory of Compositionality.
CoRR, 2024

Efficient Causal Graph Discovery Using Large Language Models.
CoRR, 2024

2023
Network Analysis of the iNaturalist Citizen Science Community.
CoRR, 2023

Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels.
CoRR, 2023

A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control.
CoRR, 2023

Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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