Decentralized federated learning through proxy model sharing von Kalra, Shivam, Wen, Junfeng, Cresswell, Jesse C., Volkovs, Maksims, Tizhoosh, H. R.

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Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data von Ravaut, Mathieu, Sadeghi, Hamed, Leung, Kin Kwan, Volkovs, Maksims, Kornas, Kathy, Harish, Vinyas, Watson, Tristan, Lewis, Gary F., Weisman, Alanna, Poutanen, Tomi, Rosella, Laura

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Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes von Ravaut, Mathieu, Harish, Vinyas, Sadeghi, Hamed, Leung, Kin Kwan, Volkovs, Maksims, Kornas, Kathy, Watson, Tristan, Poutanen, Tomi, Rosella, Laura C

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Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study von Yi, Seung Eun, Harish, Vinyas, Gutierrez, Jahir, Ravaut, Mathieu, Kornas, Kathy, Watson, Tristan, Poutanen, Tomi, Ghassemi, Marzyeh, Volkovs, Maksims, Rosella, Laura C

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Developing Machine Learning Algorithms on Routinely Collected Administrative Health Data - Lessons from Ontario, Canada von Harish, Vinyas, Ravaut, Mathieu, Yi, Seung Eun, Gutierrez, Jahir, Sadeghi, Hamed, Leung, Kin Kwan, Watson, Tristan, Kornas, Kathy, Poutanen, Tomi, Volkovs, Maksims, Rosella, Laura

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Probabilistic simulation of quantum circuits using a deep-learning architecture von Carrasquilla, Juan, Luo, Di, Pérez, Felipe, Milsted, Ashley, Clark, Bryan K., Volkovs, Maksims, Aolita, Leandro

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Risk stratification for COVID-19 hospitalization: a multivariable model based on gradient-boosting decision trees von Gutierrez, Jahir M, Volkovs, Maksims, Poutanen, Tomi, Watson, Tristan, Rosella, Laura C

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Context Models For Web Search Personalization von Volkovs, Maksims

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Retrieval & Fine-Tuning for In-Context Tabular Models von Thomas, Valentin, Ma, Junwei, Hosseinzadeh, Rasa, Golestan, Keyvan, Yu, Guangwei, Volkovs, Maksims, Caterini, Anthony

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LEARNING DOCUMENT EMBEDDINGS WITH CONVOLUTIONAL NEURAL NETWORK ARCHITECTURES von POUTANEN, TOMI JOHAN, VOLKOVS, MAKSIMS

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DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation von Norouzi, Sajad, Hosseinzadeh, Rasa, Perez, Felipe, Volkovs, Maksims

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MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting von Du, Linfeng, Xin, Ji, Labach, Alex, Zuberi, Saba, Volkovs, Maksims, Krishnan, Rahul G

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Method and System for making Recommendation from Binary Data Using Neighbor-Score Matrix and Latent Factors von Volkovs, Maksims, Poutanen, Tomi

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Method and system for making recommendations from binary data using neighbor-score matrix and latent factors von Volkovs, Maksims, Poutanen, Tomi

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Decentralized Federated Learning through Proxy Model Sharing von Kalra, Shivam, Wen, Junfeng, Cresswell, Jesse C, Volkovs, Maksims, Tizhoosh, Hamid R

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Automated image retrieval with graph neural network von Liu, Chundi, Volkovs, Maksims, Yu, Guangwei

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Data-Efficient Multimodal Fusion on a Single GPU von Vouitsis, Noël, Liu, Zhaoyan, Gorti, Satya Krishna, Villecroze, Valentin, Cresswell, Jesse C, Yu, Guangwei, Loaiza-Ganem, Gabriel, Volkovs, Maksims

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Weakly Supervised Action Selection Learning in Video von Ma, Junwei, Gorti, Satya Krishna, Volkovs, Maksims, Yu, Guangwei

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TabDPT: Scaling Tabular Foundation Models von Ma, Junwei, Thomas, Valentin, Hosseinzadeh, Rasa, Kamkari, Hamidreza, Labach, Alex, Cresswell, Jesse C, Golestan, Keyvan, Yu, Guangwei, Volkovs, Maksims, Caterini, Anthony L

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Self-supervised Representation Learning From Random Data Projectors von Sui, Yi, Wu, Tongzi, Cresswell, Jesse C, Wu, Ga, Stein, George, Huang, Xiao Shi, Zhang, Xiaochen, Volkovs, Maksims

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