Amrutha Saseendran

According to our database, Amrutha Saseendran authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding.

Yanzheng Xiang, Lan Wei, Yizhen Yao, Qinglin Zhu, Hanqi Yan, Chen Jin, Philip Alexander Teare, Dandan Zhang, Lin Gui, Amrutha Saseendran, Yulan He

CoRR, February, 2026

2025

Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States.

Qinglin Zhu, Yizhen Yao, Runcong Zhao, Yanzheng Xiang, Amrutha Saseendran, Chen Jin, Philip Teare, Bin Liang, Yulan He, Lin Gui

CoRR, October, 2025

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation.

Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi, Nikolay Burlutskiy, Dino Oglic, Tom Diethe, Philip Alexander Teare, Huiyu Zhou, Chen Jin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Diffusion Instruction Tuning.

Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Alexander Teare

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Balancing Act: Diversity and Consistency in Large Language Model Ensembles.

Ahmed Abdulaal, Chen Jin, Nina Montaña Brown, Aryo Pradipta Gema, Daniel C. Castro, Daniel C. Alexander, Philip Alexander Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations.

Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal, Tom Diethe, Philip Alexander Teare, Beatrice Alex, Pasquale Minervini, Amrutha Saseendran

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning.

Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Optimizing the latent space of deep generative models.

Amrutha Saseendran

PhD thesis, 2023

An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning.

Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare

CoRR, 2023

2022

Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders.

Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders.

Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation.

Amrutha Saseendran, Kathrin Skubch, Margret Keuper

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021