Alexander Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
9
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICASSP | An Efficient Algorithm For Clustered Multi-Task Compressive Sensing. | Alexander Lin, Demba E. Ba |
| 2024 | MICCAI | A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors. | Sangyoon Lee, Francesca Branzoli, Thanh Nguyen, Ovidiu C. Andronesi, Alexander Lin, Roberto Liserre, Gerd Melkus, Clark Chen, Malgorzata Marjanska, Patrick J. Bolan |
| 2023 | AAAI | Investigating Scientific Misinformation Using Different Modes of Learning. | Autumn Toney-Wails, Kornraphop Kawintiranon, Lisa Singh, Paul-Emmanuel Courtines, Alexander Lin, Haofei Zhang |
| 2023 | ICML | Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. | Alexander Lin, Bahareh Tolooshams, Yves F. Atchad, Demba E. Ba |
| 2023 | USENIX | Change Management in Physical Network Lifecycle Automation. | Mohammad Al-Fares, Virginia Beauregard, Kevin Grant, Angus Griffith, Jahangir Hasan, Chen Huang, Quan Leng, Jiayao Li, Alexander Lin, Zhuotao Liu, Ahmed Mansy, Bill Martinusen, Nikil Mehta, Jeffrey C. Mogul, Andrew Narver, Anshul Nigham, Melanie Obenberger, Sean Smith, Kurt Steinkraus, Sheng Sun, Edward Thiele, Amin Vahdat |
| 2022 | ICASSP | Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning. | Alexander Lin, Andrew H. Song, Demba E. Ba |
| 2022 | ICASSP | High-Dimensional Sparse Bayesian Learning without Covariance Matrices. | Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba |
| 2021 | NAACL | Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems. | Derek Chen, Howard Chen, Yi Yang, Alexander Lin, Zhou Yu |
| 2020 | EMNLP | Autoregressive Knowledge Distillation through Imitation Learning. | Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei |
| 2019 | AISTATS | Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. | Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba |
| 2019 | KDD | Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models. | Alexander Lin, Amil Merchant, Suproteem K. Sarkar, Alexander D'Amour |