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Zalan Fabian

Showing results (1-10 of 8) with videos related to

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Proceedings of Machine Learning Research|October 17, 2024
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-ConsistencyZalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Advances in Neural Information Processing Systems|June 3, 2026
Emergence and Evolution of Interpretable Concepts in Diffusion ModelsBerk Tinaz, Zalan Fabian, Mahdi Soltanolkotabi
Proceedings of Machine Learning Research|September 25, 2024
Adapt and Diffuse: Sample-Adaptive Reconstruction Via Latent Diffusion ModelsZalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Journal of Structural Biology|February 28, 2026
ProPicker: Promptable segmentation for particle picking in cryogenic electron tomographySimon Wiedemann, Zalan Fabian, Mahdi Soltanolkotabi, et al.
... International Conference on Learning Representations|February 20, 2026
MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation modelsMohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, et al.
Advances in Neural Information Processing Systems|June 3, 2026
Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMsMohammad Shahab Sepehri, Berk Tinaz, Zalan Fabian, et al.
Transactions on Machine Learning Research|September 2, 2025
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network OptimizationYue Niu, Zalan Fabian, Sunwoo Lee, et al.
Advances in Neural Information Processing Systems|January 23, 2026
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision TasksSara Babakniya, Zalan Fabian, Chaoyang He, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Proceedings of Machine Learning Research|October 17, 2024
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-ConsistencyZalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Advances in Neural Information Processing Systems|June 3, 2026
Emergence and Evolution of Interpretable Concepts in Diffusion ModelsBerk Tinaz, Zalan Fabian, Mahdi Soltanolkotabi
Proceedings of Machine Learning Research|September 25, 2024
Adapt and Diffuse: Sample-Adaptive Reconstruction Via Latent Diffusion ModelsZalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
Journal of Structural Biology|February 28, 2026
ProPicker: Promptable segmentation for particle picking in cryogenic electron tomographySimon Wiedemann, Zalan Fabian, Mahdi Soltanolkotabi, et al.
... International Conference on Learning Representations|February 20, 2026
MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation modelsMohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, et al.
Advances in Neural Information Processing Systems|June 3, 2026
Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMsMohammad Shahab Sepehri, Berk Tinaz, Zalan Fabian, et al.
Transactions on Machine Learning Research|September 2, 2025
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network OptimizationYue Niu, Zalan Fabian, Sunwoo Lee, et al.
Advances in Neural Information Processing Systems|January 23, 2026
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision TasksSara Babakniya, Zalan Fabian, Chaoyang He, et al.
Pageof 1