Thomas Jiralerspong

19 papers A* 4Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cross-Architecture Model Diffing with Crosscoders: Unsupervised Discovery of Differences Between LLMs.
CoRR
Thomas Jiralerspong, Trenton Bricken
2026 J jnl
Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes.
CoRR
Aly M. Kassem, Thomas Jiralerspong, Negar Rostamzadeh, Golnoosh Farnadi
2026 J jnl
Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback.
CoRR
Thomas Jiralerspong, Flemming Kondrup, Yoshua Bengio
2025 A* conf
Expressivity of Neural Networks with Random Weights and Learned Biases.
ICLR
Ezekiel Williams, Alexandre Payeur, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Matthew G. Perich, Luca Mazzucato, Guillaume Lajoie
2025 — conf
Geometric Signatures of Compositionality Across a Language Model's Lifetime.
ACL (1)
Jin Hwa Lee, Thomas Jiralerspong, Lei Yu, Yoshua Bengio, Emily Cheng
2025 J jnl
Learning What Matters: Steering Diffusion via Spectrally Anisotropic Forward Noise.
CoRR
Luca Scimeca, Thomas Jiralerspong, Berton Earnshaw, Jason S. Hartford, Yoshua Bengio
2025 J jnl
Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control.
CoRR
Thomas Jiralerspong, Berton Earnshaw, Jason S. Hartford, Yoshua Bengio, Luca Scimeca
2025 A* conf
Towards a Formal Theory of Representational Compositionality.
ICML
Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie
2024 J jnl
A Complexity-Based Theory of Compositionality.
CoRR
Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie
2024 J jnl
Efficient Causal Graph Discovery Using Large Language Models.
CoRR
Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio
2024 J jnl
Expressivity of Neural Networks with Random Weights and Learned Biases.
CoRR
Ezekiel Williams, Avery Hee-Woon Ryoo, Thomas Jiralerspong, Alexandre Payeur, Matthew G. Perich, Luca Mazzucato, Guillaume Lajoie
2024 J jnl
General Causal Imputation via Synthetic Interventions.
CoRR
Marco Jiralerspong, Thomas Jiralerspong, Vedant Shah, Dhanya Sridhar, Gauthier Gidel
2024 J jnl
Geometric Signatures of Compositionality Across a Language Model's Lifetime.
CoRR
Jin Hwa Lee, Thomas Jiralerspong, Lei Yu, Yoshua Bengio, Emily Cheng
2023 J jnl
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control.
CoRR
Marshall Wang, John Willes, Thomas Jiralerspong, Matin Moezzi
2023 A* conf
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL.
NeurIPS
Chen Sun, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake A. Richards
2023 J jnl
Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels.
CoRR
Thomas Jiralerspong, Flemming Kondrup, Doina Precup, Khimya Khetarpal
2023 J jnl
Network Analysis of the iNaturalist Citizen Science Community.
CoRR
Yu Lu Liu, Thomas Jiralerspong
2023 A* conf
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning.
AAAI
Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu
2022 J jnl
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning.
CoRR
Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu