Arman Zharmagambetov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
9
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | Faster Neural Net Inference via Forests of Sparse Oblique Decision Trees. | Yerlan Idelbayev, Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2025 | CCS | SecAlign: Defending Against Prompt Injection with Preference Optimization. | Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, David A. Wagner, Chuan Guo |
| 2025 | ETFA | MARS: Multi-radio Architecture with ML-powered Radio Selection for Mesoscale IoT Applications. | Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin, Alberto E. Cerpa |
| 2025 | ICML | AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs. | Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian |
| 2024 | EMNLP | To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning. | Da Ju, Song Jiang, Andrew Cohen, Aaron Foss, Sasha Mitts, Arman Zharmagambetov, Brandon Amos, Xian Li, Justine T. Kao, Maryam Fazel-Zarandi, Yuandong Tian |
| 2024 | ICML | GenCO: Generating Diverse Designs with Combinatorial Constraints. | Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian |
| 2024 | ICML | Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets. | Magzhan Gabidolla, Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2024 | ICML | Contrastive Predict-and-Search for Mixed Integer Linear Programs. | Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina |
| 2023 | CVPR | Towards Better Decision Forests: Forest Alternating Optimization. | Miguel . Carreira-Perpin, Magzhan Gabidolla, Arman Zharmagambetov |
| 2022 | ICASSP | Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology. | Arman Zharmagambetov, Qingming Tang, Chieh-Chi Kao, Qin Zhang, Ming Sun, Viktor Rozgic, Jasha Droppo, Chao Wang |
| 2022 | IJCNN | Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees. | Magzhan Gabidolla, Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2021 | EMNLP | Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large. | Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | ICASSP | Learning a Tree of Neural Nets. | Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2021 | ICIP | Understanding And Manipulating Neural Net Features Using Sparse Oblique Classification Trees. | Suryabhan Singh Hada, Miguel . Carreira-Perpin, Arman Zharmagambetov |
| 2021 | ICIP | A Simple, Effective Way To Improve Neural Net Classification: Ensembling Unit Activations With A Sparse Oblique Decision Tree. | Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2021 | ICIP | Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization. | Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | IJCNN | Improved Boosted Regression Forests Through Non-Greedy Tree Optimization. | Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | IJCNN | Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison. | Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2020 | ICML | Smaller, more accurate regression forests using tree alternating optimization. | Arman Zharmagambetov, Miguel . Carreira-Perpin |