Anderson Schneider
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
8
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives. | Yanxi Chen, Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Xin Li, Peijie Qiu, Hao Wang, Xuanzhao Dong, Yujian Xiong, Anderson Schneider, Yuriy Nevmyvaka, Yalin Wang |
| 2025 | ICDM | Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision. | Kanghui Ning, Zijie Pan, Yushan Jiang, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song |
| 2025 | ICML | Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting. | Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Gnnemann |
| 2025 | KDD | Multi-modal Time Series Analysis: A Tutorial and Survey. | Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song |
| 2024 | ICLR | VQ-TR: Vector Quantized Attention for Time Series Forecasting. | Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka |
| 2024 | ICML | S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting. | Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song |
| 2024 | IJCAI | Empowering Time Series Analysis with Large Language Models: A Survey. | Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song |
| 2023 | AISTATS | Risk Bounds on Aleatoric Uncertainty Recovery. | Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka |
| 2023 | ICML | Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion. | Marin Bilos, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Gnnemann |
| 2023 | ICML | Provably Convergent Schrdinger Bridge with Applications to Probabilistic Time Series Imputation. | Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka |
| 2023 | UAI | Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics. | Yu Chen, Fengpei Li, Anderson Schneider, Yuriy Nevmyvaka, Asohan Amarasingham, Henry Lam |
| 2023 | UAI | In- or out-of-distribution detection via dual divergence estimation. | Sahil Garg, Sanghamitra Dutta, Mina Dalirrooyfard, Anderson Schneider, Yuriy Nevmyvaka |
| 2023 | UAI | Information theoretic clustering via divergence maximization among clusters. | Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi |
| 2023 | UAI | Inference and sampling of point processes from diffusion excursions. | Ali Hasan, Yu Chen, Yuting Ng, Mohamed Abdelghani, Anderson Schneider, Vahid Tarokh |
| 2022 | UAI | Estimating transfer entropy under long ranged dependencies. | Sahil Garg, Umang Gupta, Yu Chen, Syamantak Datta Gupta, Yeshaya Adler, Anderson Schneider, Yuriy Nevmyvaka |