Results for Time Series
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Inspiring Impact and Innovation: Let's SOLVE it Presentations Day Fall 2023
Inspiring Impact and Innovation: Let's SOLVE it Presentations Day Fall 2023
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The Neural Tangent Kernel
The Neural Tangent Kernel
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Gradient Flow
Gradient Flow
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AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
Q. Yan, R. Seraj, J. He, L. Meng, and T. Sylvain. International Conference on Learning Representations (ICLR), 2024
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NeurIPS 2023 Recommended Reading List
NeurIPS 2023 Recommended Reading List
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Atom Foundation Model
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Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students
Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students
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What Constitutes Good Contrastive Learning in Time-Series Forecasting?
What Constitutes Good Contrastive Learning in Time-Series Forecasting?
C. Zhang, Q. Yan, L. Meng, and T. Sylvain. Workshop at International Joint Conference on Artificial Intelligence (IJCAI), 2023
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The Neural Tangent Kernel
The Neural Tangent Kernel
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Gradient Flow
Gradient Flow
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NeurIPS 2023 Recommended Reading List
NeurIPS 2023 Recommended Reading List
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A High-level Overview of Large Language Models
A High-level Overview of Large Language Models
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Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
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Borealis AI at International Conference on Learning Representations (ICLR): Machine Learning for a better financial future
Borealis AI at International Conference on Learning Representations (ICLR): Machine Learning for a better financial future
Learning And Generalization; Natural Language Processing; Time series Modelling
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What Constitutes Good Contrastive Learning in Time-Series Forecasting?
What Constitutes Good Contrastive Learning in Time-Series Forecasting?
C. Zhang, Q. Yan, L. Meng, and T. Sylvain. Workshop at International Joint Conference on Artificial Intelligence (IJCAI), 2023
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Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation
Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation
A. Hajimoradlou, L. Pishdad, F. Tung, and M. Karpusha. Workshop at International Conference on Machine Learning (ICML), 2022
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Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
M. Amin Shabani, A. Abdi, L. Meng, and T. Sylvain. International Conference on Learning Representations (ICLR), 2023
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Learning Discriminative Prototypes with Dynamic Time Warping
Learning Discriminative Prototypes with Dynamic Time Warping
X. Chang, F. Tung, and G. Mori. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2021
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Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
R. Deng, B. Chang, M. Brubaker, G. Mori, and A. Lehrmann. Conference on Neural Information Processing Systems (NeurIPS), 2020
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Inspiring Impact and Innovation: Let's SOLVE it Presentations Day Fall 2023
Inspiring Impact and Innovation: Let's SOLVE it Presentations Day Fall 2023
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Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students
Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students
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RBC Wins Best Use of AI for Customer Experience for NOMI Forecast
RBC Wins Best Use of AI for Customer Experience for NOMI Forecast
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RBC Capital Markets announces the launch of Aiden® Arrival, the second algorithm on the Aiden® platform
RBC Capital Markets announces the launch of Aiden® Arrival, the second algorithm on the Aiden® platform
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A Day in the Life of a Product Manager - Borealis AI
A Day in the Life of a Product Manager - Borealis AI
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Support & Maintenance … without the ‘hand over’
Support & Maintenance … without the ‘hand over’
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The (never-ending) production stage
The (never-ending) production stage
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Designing machine learning for human users
Designing machine learning for human users
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A new age of discovery: Balancing short-term value with long-term innovation
A new age of discovery: Balancing short-term value with long-term innovation
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Managing data throughout the machine learning product lifecycle
Managing data throughout the machine learning product lifecycle