Search Results - "Jiralerspong, Thomas"

Network Analysis of the iNaturalist Citizen Science Community by Liu, Yu Lu, Jiralerspong, Thomas

“…In recent years, citizen science has become a larger and larger part of the scientific community. Its ability to crowd source data and expertise from thousands…”
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General Causal Imputation via Synthetic Interventions by Jiralerspong, Marco, Jiralerspong, Thomas, Shah, Vedant, Sridhar, Dhanya, Gidel, Gauthier

“…Given two sets of elements (such as cell types and drug compounds), researchers typically only have access to a limited subset of their interactions. The task…”
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A Complexity-Based Theory of Compositionality by Elmoznino, Eric, Jiralerspong, Thomas, Bengio, Yoshua, Lajoie, Guillaume

“…Compositionality is believed to be fundamental to intelligence. In humans, it underlies the structure of thought, language, and higher-level reasoning. In AI,…”
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Efficient Causal Graph Discovery Using Large Language Models by Jiralerspong, Thomas, Chen, Xiaoyin, More, Yash, Shah, Vedant, Bengio, Yoshua

“…We propose a novel framework that leverages LLMs for full causal graph discovery. While previous LLM-based methods have used a pairwise query approach, this…”
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A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control by Wang, Marshall, Willes, John, Jiralerspong, Thomas, Moezzi, Matin

“…Reinforcement learning (RL) is a promising approach for optimizing HVAC control. RL offers a framework for improving system performance, reducing energy…”
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Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels by Jiralerspong, Thomas, Kondrup, Flemming, Precup, Doina, Khetarpal, Khimya

“…The ability to plan at many different levels of abstraction enables agents to envision the long-term repercussions of their decisions and thus enables…”
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A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control by Wang, Marshall, Willes, John, Jiralerspong, Thomas, Moezzi, Matin

“…Reinforcement learning (RL) is a promising approach for optimizing HVAC control. RL offers a framework for improving system performance, reducing energy…”
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Geometric Signatures of Compositionality Across a Language Model's Lifetime by Lee, Jin Hwa, Jiralerspong, Thomas, Yu, Lei, Bengio, Yoshua, Cheng, Emily

“…Compositionality, the notion that the meaning of an expression is constructed from the meaning of its parts and syntactic rules, permits the infinite…”
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Expressivity of Neural Networks with Random Weights and Learned Biases by Williams, Ezekiel, Ryoo, Avery Hee-Woon, Jiralerspong, Thomas, Payeur, Alexandre, Perich, Matthew G, Mazzucato, Luca, Lajoie, Guillaume

“…Landmark universal function approximation results for neural networks with trained weights and biases provided impetus for the ubiquitous use of neural…”
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Delta-AI: Local objectives for amortized inference in sparse graphical models by Falet, Jean-Pierre, Lee, Hae Beom, Malkin, Nikolay, Sun, Chen, Secrieru, Dragos, Jiralerspong, Thomas, Zhang, Dinghuai, Lajoie, Guillaume, Bengio, Yoshua

“…We present a new algorithm for amortized inference in sparse probabilistic graphical models (PGMs), which we call $\Delta$-amortized inference ($\Delta$-AI)…”
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Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL by Sun, Chen, Yang, Wannan, Jiralerspong, Thomas, Malenfant, Dane, Alsbury-Nealy, Benjamin, Bengio, Yoshua, Richards, Blake

“…In real life, success is often contingent upon multiple critical steps that are distant in time from each other and from the final reward. These critical steps…”
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Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning by Kondrup, Flemming, Jiralerspong, Thomas, Lau, Elaine, de Lara, Nathan, Shkrob, Jacob, Tran, My Duc, Precup, Doina, Basu, Sumana

“…Mechanical ventilation is a key form of life support for patients with pulmonary impairment. Healthcare workers are required to continuously adjust ventilator…”
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