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04/02/2023
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Transformations based on domain expertise (expert transformations), such...
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03/20/2023
Model Stitching: Looking For Functional Similarity Between Representations
Model stitching (Lenc Vedaldi 2015) is a compelling methodology to c...
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03/04/2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
Deep ensembles (DE) have been successful in improving model performance ...
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02/23/2023
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
Studying the dynamics of open quantum systems holds the potential to ena...
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11/02/2022
Koopman Operator learning for Accelerating Quantum Optimization and Machine Learning
Finding efficient optimization methods plays an important role for quant...
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10/10/2022
On the Importance of Calibration in Semi-supervised Learning
State-of-the-art (SOTA) semi-supervised learning (SSL) methods have been...
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10/02/2022
AI-Assisted Discovery of Quantitative and Formal Models in Social Science
In social science, formal and quantitative models, such as ones describi...
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08/31/2022
Discovering Conservation Laws using Optimal Transport and Manifold Learning
Conservation laws are key theoretical and practical tools for understand...
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12/22/2021
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
Recent advances in deep learning, in particular enabled by hardware adva...
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10/15/2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Deep learning techniques have been increasingly applied to the natural s...
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07/18/2020
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
The emergence of unsupervised word embeddings, pre-trained on very large...
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07/16/2020
Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs
A key factor in the modern success of deep learning is the astonishing e...
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11/28/2018
WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices
We present a logarithmic-scale efficient convolutional neural network ar...
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10/26/2017