Anderson Schneider
According to our database1,
Anderson Schneider
authored at least 20 papers
between 2021 and 2024.
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI.
CoRR, 2024
S<sup>2</sup>IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting.
CoRR, 2024
CoRR, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
2021
Proceedings of the NeurIPS 2022 Competition Track, 2021