Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation. - Amrutha Saseendran; Kathrin Skubch; Margret Keuper (ICCV, 2021)

Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders. - Amrutha Saseendran; Kathrin Skubch; Stefan Falkner; Margret Keuper (NeurIPS, 2021)

Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders. - Amrutha Saseendran; Kathrin Skubch; Stefan Falkner; Margret Keuper (NeurIPS, 2022)

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)

Optimizing the latent space of deep generative models. - Amrutha Saseendran (2023)

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 (ICML, 2024)

DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations. - Aryo Pradipta Gema; Chen Jin; Ahmed Abdulaal; Tom Diethe; Philip Teare; Beatrice Alex; Pasquale Minervini; Amrutha Saseendran (CoRR, 2024)

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 (ICLR, 2025)

Diffusion Instruction Tuning. - Chen Jin; Ryutaro Tanno; Amrutha Saseendran; Tom Diethe; Philip Teare (CoRR, 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 Teare; Huiyu Zhou 001; Chen Jin (CoRR, 2025)