publications
2025
- On Designing Diffusion Autoencoders for Efficient Generation and Representation LearningarXiv preprint arXiv:2506.00136, May 2025
- B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical DataarXiv preprint arXiv:2505.22252, May 2025
- Bernoulli Priors as Efficient Denoising Guides for Diffusion Models3rd Workshop on Generative Models for Computer Vision at the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR), Jun 2025
2024
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- Multi-Label Conditional Generation From Pre-Trained ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence, Aug 2024
- Graph Kernel Convolutions for Interpretable ClassificationData-centric Machine Learning Research (DMLR) Workshop at the International Conference on Learning Representations (ICLR), May 2024
- HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract)In Proceedings of the AAAI Conference on Artificial Intelligence , Feb 2024
- Face Identity-Aware Disentanglement in StyleGANIn Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , Jan 2024
2023
- Remap, warp and attend: Non-parallel many-to-many accent conversion with normalizing flowsIn 2022 IEEE Spoken Language Technology Workshop (SLT) , Jan 2023
2022
- GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversionIn Interspeech 2022 , Sep 2022
- Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising FlowIn ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , May 2022
- PluGeN: Multi-Label Conditional Generation From Pre-Trained ModelsIn Proceedings of the AAAI Conference on Artificial Intelligence , Feb 2022
2021
- HyperCube: Implicit Field Representations of Voxelized 3D ModelsarXiv preprint arXiv:2110.05770, Oct 2021