All-atom Diffusion Transformers: Unified generative modelling of molecules and materials.
CoRR, March, 2025
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields.
Trans. Mach. Learn. Res., 2024
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields.
CoRR, 2024
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis.
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Proceedings of the IEEE International Conference on Acoustics, 2022
Searching for Efficient Multi-Stage Vision Transformers.
CoRR, 2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Learning Pose-aware 3D Reconstruction via 2D-3D Self-consistency.
Proceedings of the IEEE International Conference on Acoustics, 2019
3D Shape Reconstruction from a Single 2D Image via 2D-3D Self-Consistency.
CoRR, 2018
Three-Dimensional Dynamic Programming Accelerator for Multiple Sequence Alignment.
Proceedings of the 2018 IEEE Nordic Circuits and Systems Conference, 2018
Adaptively Banded Smith-Waterman Algorithm for Long Reads and Its Hardware Accelerator.
Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018