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Amrutha Saseendran

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2020 – today

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2024
[c4]
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Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare:
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning. ICML 2024
2023
[b1]
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Amrutha Saseendran:
Optimizing the latent space of deep generative models. University of Siegen, Germany, 2023
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  - journals/corr/abs-2310-12274
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Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare:
An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning. CoRR abs/2310.12274 (2023)
2022
[c3]
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Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper:
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders. NeurIPS 2022
2021
[c2]
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  - conf/iccv/SaseendranSK21
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Amrutha Saseendran, Kathrin Skubch, Margret Keuper:
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation. ICCV 2021: 6742-6751
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Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper:
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders. NeurIPS 2021: 7319-7332
[i1]
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  dblp key:
  - journals/corr/abs-2103-16795
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Amrutha Saseendran, Kathrin Skubch, Margret Keuper:
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation. CoRR abs/2103.16795 (2021)

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