Tin Vlasic

Orcid: 0000-0002-4672-5272

According to our database1, Tin Vlasic authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks.
CoRR, 2024

2023
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling.
Proceedings of the Medical Imaging with Deep Learning, 2023

2022
Adaptive compressive sensing in polynomial and shift-invariant spaces ; Adaptivno sažimajuće očitavanje u polinomnim i na pomak invarijantnim prostorima.
PhD thesis, 2022

Sampling and Reconstruction of Sparse Signals in Shift-Invariant Spaces: Generalized Shannon's Theorem Meets Compressive Sensing.
IEEE Trans. Signal Process., 2022

Single-pixel compressive imaging in shift-invariant spaces via exact wavelet frames.
Signal Process. Image Commun., 2022

Deep Variational Inverse Scattering.
CoRR, 2022

Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering.
CoRR, 2022

Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Multilevel Subsampling of Principal Component Projections for Adaptive Compressive Sensing.
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021

2020
Spline-like Chebyshev polynomial model for compressive imaging.
J. Vis. Commun. Image Represent., 2020

A Realization of Adaptive Compressive Sensing System.
Proceedings of the 43rd International Convention on Information, 2020

Sub-Nyquist Sampling in Shift-Invariant Spaces.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Spline-Like Chebyshev Polynomial Representation for Compressed Sensing.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019


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