Maryam Mehri Dehnavi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
10
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGGRAPH | Fast Sparse Matrix Permutation for Mesh-Based Direct Solvers. | Behrooz Zarebavani, Ahmed H. Mahmoud, Ana Dodik, Changcheng Yuan, Serban D. Porumbescu, John D. Owens, Maryam Mehri Dehnavi, Justin Solomon |
| 2025 | ICLR | SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs. | Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang, Maryam Mehri Dehnavi |
| 2025 | ICML | SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression. | Mohammad Mozaffari, Amir Yazdanbakhsh, Maryam Mehri Dehnavi |
| 2024 | CGO | A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. | Abhinav Jangda, Saeed Maleki, Maryam Mehri Dehnavi, Madan Musuvathi, Olli Saarikivi |
| 2023 | SC | Runtime Composition of Iterations for Fusing Loop-carried Sparse Dependence. | Kazem Cheshmi, Michelle Strout, Maryam Mehri Dehnavi |
| 2022 | PPoPP | Optimizing sparse computations jointly. | Kazem Cheshmi, Michelle Mills Strout, Maryam Mehri Dehnavi |
| 2022 | SC | Vectorizing Sparse Matrix Computations with Partially-Strided Codelets. | Kazem Cheshmi, Zachary Cetinic, Maryam Mehri Dehnavi |
| 2022 | SC | HyLo: A Hybrid Low-Rank Natural Gradient Descent Method. | Baorun Mu, Saeed Soori, Bugra Can, Mert Grbzbalaban, Maryam Mehri Dehnavi |
| 2020 | AISTATS | DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate. | Saeed Soori, Konstantin Mishchenko, Aryan Mokhtari, Maryam Mehri Dehnavi, Mert Grbzbalaban |
| 2020 | PPoPP | MatRox: modular approach for improving data locality in hierarchical (Mat)rix App(Rox)imation. | Bangtian Liu, Kazem Cheshmi, Saeed Soori, Michelle Mills Strout, Maryam Mehri Dehnavi |
| 2019 | PLDI | Sparse computation data dependence simplification for efficient compiler-generated inspectors. | Mahdi Soltan Mohammadi, Tomofumi Yuki, Kazem Cheshmi, Eddie C. Davis, Mary W. Hall, Maryam Mehri Dehnavi, Payal Nandy, Catherine Olschanowsky, Anand Venkat, Michelle Mills Strout |
| 2018 | ICPP | CSTF: Large-Scale Sparse Tensor Factorizations on Distributed Platforms. | Zachary Blanco, Bangtian Liu, Maryam Mehri Dehnavi |
| 2018 | ICPP | Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems. | Saeed Soori, Aditya Devarakonda, Zachary Blanco, James Demmel, Mert Grbzbalaban, Maryam Mehri Dehnavi |
| 2018 | SC | ParSy: inspection and transformation of sparse matrix computations for parallelism. | Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi |
| 2017 | CLUSTER | A Unified Optimization Approach for Sparse Tensor Operations on GPUs. | Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi |
| 2017 | SC | Sympiler: transforming sparse matrix codes by decoupling symbolic analysis. | Kazem Cheshmi, Shoaib Kamil, Michelle Mills Strout, Maryam Mehri Dehnavi |
| 2014 | ICPP | Designing a Heuristic Cross-Architecture Combination for Breadth-First Search. | Yang You, David A. Bader, Maryam Mehri Dehnavi |