Water as Green Solvent: Methods of Solubilisation and Extraction of Natural Products-Past, Present and Future Solutions von Lajoie, Léo, Fabiano-Tixier, Anne-Sylvie, Chemat, Farid

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Cascade extractions of coffee silverskin: Towards zero solid waste valorization of a byproduct von Chemat, Aziadé, Schweiger, Moritz, Touraud, Didier, Müller, Rainer, Lajoie, Léo, Mazzitelli, Jean Baptiste, Cravotto, Christian, Kunz, Werner, Fabiano-Tixier, Anne-Sylvie

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Characterization of fast magnetosonic waves driven by compact toroid plasma injection along a magnetic field von Chu, F., Langendorf, S. J., Olson, J., Byvank, T., Endrizzi, D. A., LaJoie, A. L., McCollam, K. J., Forest, C. B.

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Solvant eutectique profond d'origine naturelle supramoléculaire von LAJOIE, Léo, ROBINET, Philippe, IMBERT, Rémi, AT, Farid, HOMBOURGER, Chantal, FABIANO-TIXIER, Anne-Sylvie

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Solvant eutectique profond d'origine naturelle supramoléculaire von LAJOIE, Léo, ROBINET, Philippe, IMBERT, Rémi, AT, Farid, HOMBOURGER, Chantal, FABIANO-TIXIER, Anne-Sylvie

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The role of epistemic emotions in mathematics problem solving von Muis, Krista R., Psaradellis, Cynthia, Lajoie, Susanne P., Di Leo, Ivana, Chevrier, Marianne

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Learning by Preparing to Teach: Fostering Self-Regulatory Processes and Achievement During Complex Mathematics Problem Solving von Muis, Krista R, Psaradellis, Cynthia, Chevrier, Marianne, Di Leo, Ivana, Lajoie, Susanne P

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Gaussian-process-based Bayesian optimization for neurostimulation interventions in rats von Choinière, Léo, Guay-Hottin, Rose, Picard, Rémi, Lajoie, Guillaume, Bonizzato, Marco, Dancause, Numa

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Autonomous optimization of neuroprosthetic stimulation parameters that drive the motor cortex and spinal cord outputs in rats and monkeys von Bonizzato, Marco, Guay Hottin, Rose, Côté, Sandrine L., Massai, Elena, Choinière, Léo, Macar, Uzay, Laferrière, Samuel, Sirpal, Parikshat, Quessy, Stephan, Lajoie, Guillaume, Martinez, Marina, Dancause, Numa

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Clarifying MCMC-based training of modern EBMs : Contrastive Divergence versus Maximum Likelihood von Gagnon, Léo, Lajoie, Guillaume

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The Natural History of the Non-Nephrotic Membranous Nephropathy Patient von Hladunewich, Michelle A, Troyanov, Stephan, Calafati, Jennifer, Cattran, Daniel C

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Clarifying MCMC-based training of modern EBMs : Contrastive Divergence versus Maximum Likelihood von Gagnon, Léo, Lajoie, Guillaume

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Developing a Multimodal Affect Assessment for Aviation Training von Li, Tianshu, Jraidi, Imène, Ruiz Segura, Alejandra, Holton, Leo, Lajoie, Susanne

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Efficient and robust multi-task learning in the brain with modular latent primitives von Márton, Christian David, Gagnon, Léo, Lajoie, Guillaume, Rajan, Kanaka

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In-context learning and Occam's razor von Elmoznino, Eric, Marty, Tom, Kasetty, Tejas, Gagnon, Leo, Mittal, Sarthak, Fathi, Mahan, Sridhar, Dhanya, Lajoie, Guillaume

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Does learning the right latent variables necessarily improve in-context learning? von Mittal, Sarthak, Elmoznino, Eric, Gagnon, Leo, Bhardwaj, Sangnie, Sridhar, Dhanya, Lajoie, Guillaume

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Efficient and robust multi-task learning in the brain with modular latent primitives von Márton, Christian David, Gagnon, Léo, Lajoie, Guillaume, Rajan, Kanaka

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Continuous-Time Meta-Learning with Forward Mode Differentiation von Deleu, Tristan, Kanaa, David, Feng, Leo, Kerg, Giancarlo, Bengio, Yoshua, Lajoie, Guillaume, Bacon, Pierre-Luc

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In-context learning and Occam's razor von Elmoznino, Eric, Marty, Tom, Kasetty, Tejas, Gagnon, Leo, Mittal, Sarthak, Mahan Fathi, Sridhar, Dhanya, Lajoie, Guillaume

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Continuous-Time Meta-Learning with Forward Mode Differentiation von Deleu, Tristan, Kanaa, David, Feng, Leo, Kerg, Giancarlo, Bengio, Yoshua, Lajoie, Guillaume, Bacon, Pierre-Luc

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