Marin Soljacic

According to our database1, Marin Soljacic authored at least 23 papers between 2013 and 2021.

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



In proceedings 
PhD thesis 




Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery.
IEEE Trans. Neural Networks Learn. Syst., 2021

Discovering Sparse Interpretable Dynamics from Partial Observations.
CoRR, 2021

Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems.
CoRR, 2021

Non-Abelian gauge fields with fiber optics and beyond.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks.
CoRR, 2020

Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs.
CoRR, 2020

Contextualizing Enhances Gradient Based Meta Learning.
CoRR, 2020

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning.
CoRR, 2020

Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications.
Trans. Assoc. Comput. Linguistics, 2019

Gated Orthogonal Recurrent Units: On Learning to Forget.
Neural Comput., 2019

Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning.
CoRR, 2019

Large-Scale Optical Neural Networks based on Photoelectric Multiplication.
CoRR, 2018

WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices.
CoRR, 2018

Photonic Recurrent Ising Sampler.
CoRR, 2018

Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks.
CoRR, 2018

On-Chip Optical Convolutional Neural Networks.
CoRR, 2018

Controlling the Near-Field of Metasurfaces for Free-Electron Multi-Harmonic Hard X-Ray Generation.
Proceedings of the 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018

Rotational Unit of Memory.
Proceedings of the 6th International Conference on Learning Representations, 2018

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN.
CoRR, 2016

Binary matrices of optimal autocorrelations as alignment marks.
CoRR, 2014

Plasmons in Graphene: Fundamental Properties and Potential Applications.
Proc. IEEE, 2013