@inproceedings{ustaomeroglu2026internal,title={Internal Planning in Language Models: Characterizing Horizon and Branch Awareness},author={Ustaomeroglu, M. and Askin, B. and Joshi, G. and Joe-Wong, C. and Qu, G.},booktitle={International Conference on Learning Representations (ICLR)},year={2026},url={https://arxiv.org/abs/2509.25260},}
Federate the Router: Learning LM Routers with Sparse and Decentralized Evaluations
B. Askin*, S. Patel*, A. Nayak*, A. Vigano, J. Woo, G. Joshi, and C. Joe-Wong
@misc{askin2026federate,title={Federate the Router: Learning LM Routers with Sparse and Decentralized Evaluations},author={Askin, B. and Patel, S. and Nayak, A. and Vigano, A. and Woo, J. and Joshi, G. and Joe-Wong, C.},year={2026},note={Preprint, under review},url={https://www.arxiv.org/abs/2601.22318},}
Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
B. Askin, H. R. Roth, Z. Sun, C. Joe-Wong, G. Joshi, and Z. Xu
@misc{askin2026reviving,title={Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning},author={Askin, B. and Roth, H. R. and Sun, Z. and Joe-Wong, C. and Joshi, G. and Xu, Z.},year={2026},note={Preprint, under review},url={https://arxiv.org/abs/2511.00655},}
PubSwap: Public-Data Off-Policy Coordination for Federated RLVR
A. Nayak*, B. Askin*, M. Ustaomeroglu, C. Joe-Wong, and G. Joshi
@misc{nayak2026pubswap,title={PubSwap: Public-Data Off-Policy Coordination for Federated RLVR},author={Nayak, A. and Askin, B. and Ustaomeroglu, M. and Joe-Wong, C. and Joshi, G.},year={2026},note={Preprint, under review},url={https://arxiv.org/abs/2604.12160},}
@inproceedings{askin2025fedcmoo,title={Federated Communication-Efficient Multi-Objective Optimization},author={Askin, B. and Sharma, P. and Joshi, G. and Joe-Wong, C.},booktitle={Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS)},pages={4627--4635},year={2025},volume={258},series={Proceedings of Machine Learning Research},month=may,publisher={PMLR},url={https://proceedings.mlr.press/v258/askin25a.html},}
NeurIPS
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
A. Raje, B. Askin, D. Jhunjhunwala, and G. Joshi
In Conference on Neural Information Processing Systems (NeurIPS), 2025
@inproceedings{raje2025ravan,title={Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning},author={Raje, A. and Askin, B. and Jhunjhunwala, D. and Joshi, G.},booktitle={Conference on Neural Information Processing Systems (NeurIPS)},year={2025},url={https://arxiv.org/abs/2506.05568},}
2024
UAI
FedAST: Federated Asynchronous Simultaneous Training
B. Askin, P. Sharma, C. Joe-Wong, and G. Joshi
In Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI), Jul 2024
@inproceedings{askin2024fedast,title={{FedAST}: Federated Asynchronous Simultaneous Training},author={Askin, B. and Sharma, P. and Joe-Wong, C. and Joshi, G.},booktitle={Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI)},pages={138--172},year={2024},volume={244},series={Proceedings of Machine Learning Research},month=jul,publisher={PMLR},url={https://proceedings.mlr.press/v244/askin24a.html},}
TMI
DEQ-MPI: A Deep Equilibrium Reconstruction with Learned Consistency for Magnetic Particle Imaging
A. Güngör, B. Askin, D. A. Soydan, C. B. Top, E. U. Saritas, and T. Çukur
@article{gungor2024deqmpi,title={{DEQ-MPI}: A Deep Equilibrium Reconstruction with Learned Consistency for Magnetic Particle Imaging},author={G{\"u}ng{\"o}r, A. and Askin, B. and Soydan, D. A. and Top, C. B. and Saritas, E. U. and {\c{C}}ukur, T.},journal={IEEE Transactions on Medical Imaging},volume={43},number={1},pages={321--334},year={2024},month=jan,publisher={IEEE},url={https://ieeexplore.ieee.org/document/10198492},}
2023
IJMPI
A Denoiser Scaling Technique for Plug-and-Play MPI Reconstruction
A. Güngör, B. Askin, D. A. Soydan, E. U. Saritas, C. B. Top, and T. Çukur
International Journal on Magnetic Particle Imaging (IJMPI), Mar 2023
@article{gungor2023denoiser,title={A Denoiser Scaling Technique for Plug-and-Play {MPI} Reconstruction},author={G{\"u}ng{\"o}r, A. and Askin, B. and Soydan, D. A. and Saritas, E. U. and Top, C. B. and {\c{C}}ukur, T.},journal={International Journal on Magnetic Particle Imaging (IJMPI)},volume={9},number={1 Suppl 1},year={2023},month=mar,publisher={Infinite Science Publishing},url={https://www.journal.iwmpi.org/index.php/iwmpi/article/view/636},}
2022
MLMIR
PP-MPI: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reconstruction
B. Askin, A. Güngör, D. A. Soydan, E. U. Saritas, C. B. Top, and T. Çukur
In Workshop on Machine Learning for Medical Image Reconstruction (MLMIR), 2022
@inproceedings{askin2022ppmpi,title={{PP-MPI}: A Deep Plug-and-Play Prior for Magnetic Particle Imaging Reconstruction},author={Askin, B. and G{\"u}ng{\"o}r, A. and Soydan, D. A. and Saritas, E. U. and Top, C. B. and {\c{C}}ukur, T.},booktitle={Workshop on Machine Learning for Medical Image Reconstruction (MLMIR)},pages={105--114},year={2022},publisher={Springer},series={Lecture Notes in Computer Science},url={https://repository.bilkent.edu.tr/server/api/core/bitstreams/0f316c24-94b3-4b90-86b0-15a6617f15d3/content},}
TMI
TranSMS: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging
A. Güngör, B. Askin, D. A. Soydan, E. U. Saritas, C. B. Top, and T. Çukur
@article{gungor2022transms,title={{TranSMS}: Transformers for Super-Resolution Calibration in Magnetic Particle Imaging},author={G{\"u}ng{\"o}r, A. and Askin, B. and Soydan, D. A. and Saritas, E. U. and Top, C. B. and {\c{C}}ukur, T.},journal={IEEE Transactions on Medical Imaging},volume={41},number={12},pages={3562--3574},year={2022},month=dec,publisher={IEEE},url={https://ieeexplore.ieee.org/document/9825706},}
2021
EMBC
Deep Learned Super Resolution of System Matrices for Magnetic Particle Imaging
A. Güngör, B. Askin, D. A. Soydan, C. B. Top, and T. Çukur
In Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Nov 2021
@inproceedings{gungor2021superresolution,title={Deep Learned Super Resolution of System Matrices for Magnetic Particle Imaging},author={G{\"u}ng{\"o}r, A. and Askin, B. and Soydan, D. A. and Top, C. B. and {\c{C}}ukur, T.},booktitle={Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},pages={3749--3752},year={2021},month=nov,publisher={IEEE},url={https://ieeexplore.ieee.org/document/9630601},}
SIU
A CNN Based Super-Resolution Technique for Magnetic Particle Imaging System Matrix
B. Askin, A. Güngör, D. A. Soydan, C. B. Top, and T. Çukur
In Signal Processing and Communications Applications Conference (SIU), Jun 2021
@inproceedings{askin2021cnn,title={A {CNN} Based Super-Resolution Technique for Magnetic Particle Imaging System Matrix},author={Askin, B. and G{\"u}ng{\"o}r, A. and Soydan, D. A. and Top, C. B. and {\c{C}}ukur, T.},booktitle={Signal Processing and Communications Applications Conference (SIU)},pages={1--4},year={2021},month=jun,publisher={IEEE},url={https://ieeexplore.ieee.org/document/9477772},}
A Denoiser Scaling Technique for Plug-and-Play MPI ReconstructionInternational Journal on Magnetic Particle Imaging (IJMPI), Mar 2023
Deep Learned Super Resolution of System Matrices for Magnetic Particle ImagingIn Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Nov 2021
A CNN Based Super-Resolution Technique for Magnetic Particle Imaging System MatrixIn Signal Processing and Communications Applications Conference (SIU), Jun 2021