 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Allaire, N., Le Digabel, S., Orban, D., & Partovi Nia, V. (2026). Zeroth-Order Kronecker Optimization for Pretraining Language Models. SN Computer Science, 7(2). External link
Murua, A., Kinattinkara Ramakrishnan, R., Li, X., Heng Yang, R., & Partovi Nia, V. (2025). Tensor Train Recurrent Network Language Model Prediction. Stat, 14(4). External link
Wang, X., Partovi Nia, V., Lü, P., Huang, J., Chang, X.-W., Chen, B., & Cui, Y. (2025, October). PoT-PTQ: Two-Step Power-of-Two Post-Training for LLMs [Paper]. 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy. Published in Frontiers in artificial intelligence and applications. External link
Allaire, N., Le Digabel, S., Orban, D., & Partovi Nia, V. (2025). Zeroth-order Kronecker optimization for pretraining language models. (Technical Report n° G-2025-44). External link
Edalati, A., Ghaffari, A., Ghazvini Nejad, M., Hou, L., Chen, B., Asgharian, M., & Partovi Nia, V. (2025, February). OAC: Output-adaptive Calibration for Accurate Post-training Quantization [Paper]. 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, PA, USA. Published in Proceedings of the AAAI Conference on Artificial Intelligence, 39(16). External link
Ghaffari, A., Younesian, S., Chen, B., Partovi Nia, V., & Asgharian, M. (2025, February). Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach [Paper]. 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2025), Porto, Portugal. External link
Jafarzadeh Asl, H., Ghazvini Nejad, M., Edraki, A., Asgharian, M., & Partovi Nia, V. (2025, August). Tiny Noise-Robust Voice Activity Detector for Voice Assistants [Paper]. 35th International Workshop on Machine Learning for Signal Processing (MLSP 2025), Istanbul, Turkiye (6 pages). External link
Allaire, N., Ghazvini Nejad, M., Le Digabel, S., & Partovi Nia, V. (2025, February). Zeroth order optimization for pretraining language models [Paper]. 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2025), Porto, Portugal. Available
Ghaffari, A., Yu, J., Nejad, M., Asgharian, M., Chen, B., & Partovi Nia, V. (2024, February). Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models [Paper]. 13th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2024), Rome, Italy. External link
Li, X., Parazeres, M., Oberman, A. M., Ghaffari, A., Asgharian, M., & Partovi Nia, V. (2023). EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Computer Science, 4(5). External link
Partovi Nia, V., Sari, E., Courville, V., & Asgharian, M. (2023). Training Integer-Only Deep Recurrent Neural Networks. SN Computer Science, 4(5), 16 pages. External link
Cacciola, M., Frangioni, A., Asgharian, M., Ghaffari, A., & Partovi Nia, V. (2023, February). On the convergence of stochastic gradient descent in low-precision number formats [Paper]. 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2023), Lisbon, Portugal. Available
Li, X., Liu, B., Yang, R. H., Courville, V., Xing, C., & Partovi Nia, V. (2023, October). DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization [Paper]. International Conference on Computer Vision (ICCV 2023), Paris, France. External link
Tayaranian Hosseini, M., Ghaffari, A., Tahaei, M. S., Rezagholizadeh, M., Asgharian, M., & Partovi Nia, V. (2023, May). Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation [Paper]. Findings of the Association for Computational Linguistics (EACL 2023), Dubrovnik, Croatia. External link
Mosleh, A., Tahaei, M. S., Clark, J. J., & Partovi Nia, V. (2023, June). Towards Low-Cost Learning-based Camera ISP via Unrolled Optimization [Paper]. 20th Conference on Robots and Vision (CRV 2023), Montréal, QC, Canada. External link
Gamal Abdel Hameed, M., Tahaei, M. S., Mosleh, A., & Partovi Nia, V. (2022, February). Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition [Paper]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). Published in Proceedings of the AAAI Conference on Artificial Intelligence, 36(1). External link
Partovi Nia, V., Xin-lin, L. I., Asgharian, M., & Hu, S. (2022). A causal direction test for heterogeneous populations. Machine learning with applications, 7, 100235 (8 pages). Available
Tahaei, M. S., Charlaix, E., Partovi Nia, V., Ghodsi, A., & Rezagholizadeh, M. (2022, July). KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation [Paper]. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Seattle, WA, USA. External link
Razani, R., Morin, G., Sari, E., & Partovi Nia, V. (2021, June). Adaptive Binary-Ternary Quantization [Paper]. Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2021), Nashville, TN, USA. External link
Tilouche, S., Partovi Nia, V., & Bassetto, S. (2021). Parallel coordinate order for high-dimensional data. Statistical Analysis and Data Mining, 14(5), 501-515. External link
Belbahri, M., Murua, A., Gandouet, O., & Partovi Nia, V. (2021). Qini-based uplift regression. Annals of Applied Statistics, 15(3), 1247-1272. External link
Farhadi, F., Partovi Nia, V., & Lodi, A. (2020, February). Activation adaptation in neural networks [Paper]. 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valletta, Malta. External link
Pour, M. B., Partovi Nia, V., & Pellerin, R. (2020, March). Application of Statistical Learning in Ferro-Titanium Industry [Paper]. Future of Information and Communication Conference (FICC 2020), San Francisco, Calif.. External link
Ramakrishnan, R. K., Sari, E., & Partovi Nia, V. (2020, May). Differentiable Mask for Pruning Convolutional and Recurrent Networks [Paper]. 17th Conference on Computer and Robot Vision (CRV 2020), Ottawa, ON. External link
Ghaemi, M. S., DiGiulio, D. B., Contrepois, K., Callahan, B., Ngo, T. T. M., Lee-McMullen, B., Lehallier, B., Robaczewska, A., McIlwain, D., Rosenberg-Hasson, Y., Wong, R. J., Quaintance, C., Culos, A., Stanley, N., Tanada, A., Tsai, A., Gaudilliere, D., Ganio, E., Han, X., ... Aghaeepour, N. (2019). Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinformatics, 35(1), 95-103. Available
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2018). Automatic odor prediction for electronic nose. Journal of Applied Statistics, 45(15), 2788-2799. External link
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2016, February). An online data validation algorithm for electronic nose [Paper]. 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy. External link
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2016). Automatic odor prediction for electronic nose. (Technical Report n° G-2016-86). External link
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2016). Self-assessed electronic nose. (Technical Report n° G-2016-28). External link
Homaie-Shandizi, A.-H., Partovi Nia, V., Gamache, M., & Agard, B. (2016). Flight deck crew reserve: From data to forecasting. Engineering Applications of Artificial Intelligence, 50, 106-114. External link
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2016, February). Statistical measurement validation with application to electronic nose technology [Paper]. 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy. External link
Homaie-Shandizi, A.-H., Partovi Nia, V., Gamache, M., & Agard, B. (2015). Flight deck crew absenteeism: From data to forecasting. (Technical Report n° G-2015-108). External link
Partovi Nia, V., & Ghannad-Rezaie, M. (2015). Agglomerative joint clustering of metabolic data with spike at zero: A Bayesian perspective. Biometrical Journal, 58(2), 387-396. External link
Ghaemi, M. S., Agard, B., Partovi Nia, V., & Trépanier, M. (2015). Challenges in spatial-temporal data analysis targeting public transport. (Technical Report n° G-2015-13). External link
Ghaemi, M. S., Agard, B., Partovi Nia, V., & Trépanier, M. (2015, May). Challenges in spatial-temporal data analysis targeting public transport [Paper]. 15th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2015), Ottawa, Ontario. Published in IFAC-PapersOnLine, 48(3). External link
Ghaemi, M.-S., Agard, B., Partovi Nia, V., & Trépanier, M. (2015, July). Identifying Spatial-Temporal Users Behaviour through Smart Card Data [Paper]. 13th Conference on Advanced Systems in Public Transport (CASPT 2015), Rotterdam, Netherlands. External link
Ghaemi, M. S., Agard, B., Partovi Nia, V., & Trépanier, M. (2015, July). Identifying temporal user behavior through smart card data [Paper]. 13th Conference on Advanced Systems in Public Transport (CASPT 2015), Rotterdam, Pays-Bas. Unavailable
Kijko, G., Margni, M., Partovi Nia, V., Doudrich, G., & Jolliet, O. (2015). Impact of Occupational Exposure to Chemicals in Life Cycle Assessment: A Novel Characterization Model Based on Measured Concentrations and Labor Hours. Environmental Science and Technology, 49(14), 8741-8750. External link
Davtalab-Olyaie, M., Roshdi, I., Partovi Nia, V., & Asgharian, M. (2015). On characterizing full dimensional weak facets in DEA with variable returns to scale technology. Optimization, 64(11), 2455-2476. External link
Partovi Nia, V., & Davison, A. C. (2015). A simple model-based approach to variable selection in classification and clustering. Canadian Journal of Statistics, 43(2), 157-175. External link
Tilouche, S., Bassetto, S., & Partovi Nia, V. (2014, September). Classification algorithms for virtual metrology [Paper]. IEEE International Conference on Management of Innovation and Technology (ICMIT 2014), Singapore, Singapore. External link
Ghaemi, M.-S., Agard, B., Trépanier, M., & Partovi Nia, V. (2014, May). Computational Complexity in Hierarchical Clustering Algorithms [Paper]. SSC Meeting 2014, University of Toronto, Ontario. Unavailable
Ghaemi, M.-S., Agard, B., Trépanier, M., & Partovi Nia, V. (2014, May). Predicting Behavioral Patterns of Users from Smart Card Data in The Public Transportation Domain [Paper]. Conférence annuelle du CIRRELT, Université Laval, Québec. Unavailable
Trépanier, M., Agard, B., & Partovi Nia, V. (2013, July). Assessing public transport travel behaviour from smart card data with advanced data mining technique [Paper]. 13th World Conference on Transportation Research, Rio de Janeiro, Brézil. Unavailable
Partovi Nia, V., Asgharian, M., & Bassetto, S. (2013, August). A format test for binary R&R measurement systems [Paper]. Joint Statistical Meetings, SCC Section, Montréal, Québec. External link
Mouret, G., Brault, J.-J., & Partovi Nia, V. (2013, August). Generalized elastic net regression [Paper]. Joint Statistical Meetings - Section on Statistical Learning and Data Mining, Montréal, Québec. External link
Drikvandi, R., Verbeke, G., Khodadadi, A., & Partovi Nia, V. (2013). Testing Multiple Variance Components in Linear Mixed-Effects Models. Biostatistics, 14(1), 144-159. External link
Partovi Nia, V., & Davison, A. C. (2012). High-dimensional bayesian clustering with variable selection: The R package bclust. Journal of Statistical Software, 47(5), 22 pages. Available
Partovi Nia, V., & Stephens, D. A. (2011). Dendrogram representation of stochastic clustering. In Probability: interpretation, theory and applications (pp. 203-217). Unavailable
