Saeed Amizadeh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
9
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICASSP | CorrGAN: Simultaneous Learning of Speech Enhancement and Perceptual Quality Loss Functions. | Vasily Zadorozhnyy, Saeed Amizadeh, Qiang Ye, Kazuhito Koishida |
| 2024 | ICLR | Weakly-supervised Audio Separation via Bi-modal Semantic Similarity. | Tanvir Mahmud, Saeed Amizadeh, Kazuhito Koishida, Diana Marculescu |
| 2020 | ICML | Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". | Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida |
| 2019 | ICLR | Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach. | Saeed Amizadeh, Sergiy Matusevych, Markus Weimer |
| 2019 | ISIT | Coded Elastic Computing. | Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh, Markus Weimer |
| 2019 | KDD | Machine Learning at Microsoft with ML.NET. | Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupr, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu |
| 2015 | AAAI | Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series. | George D. Montaez, Saeed Amizadeh, Nikolay Laptev |
| 2015 | KDD | Generic and Scalable Framework for Automated Time-series Anomaly Detection. | Nikolay Laptev, Saeed Amizadeh, Ian Flint |
| 2013 | UAI | The Bregman Variational Dual-Tree Framework. | Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht |
| 2012 | UAI | Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation. | Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht |
| 2012 | SDM | Sampling Strategies to Evaluate the Performance of Unknown Predictors. | Hamed Valizadegan, Saeed Amizadeh, Milos Hauskrecht |
| 2011 | IJCAI | An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics. | Saeed Amizadeh, Shuguang Wang, Milos Hauskrecht |
| 2010 | AAAI | Latent Variable Model for Learning in Pairwise Markov Networks. | Saeed Amizadeh, Milos Hauskrecht |