publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2025
- Token-Level Uncertainty-Aware Objective for Language Model Post-TrainingarXiv preprint arXiv:2503.16511, 2025
- Walking the Weight Manifold: a Topological Approach to Conditioning Inspired by NeuromodulationarXiv preprint arXiv:2505.22994, 2025
2024
- Continual learning with the neural tangent ensembleAdvances in Neural Information Processing Systems, 2024
- Modeling Attention and Binding in the Brain through Bidirectional Recurrent GatingbioRxiv, 2024
- Delays in generalization match delayed changes in representational geometryIn UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural Models, 2024Workshop paper
2023
- Stability of nanopeptides: structure and molecular exchange of self-assembled peptide fibersACS nano, 2023
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2022
- Interpolating between sampling and variational inference with infinite stochastic mixturesIn Uncertainty in artificial intelligence, 2022
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- Efficient neural codes naturally emerge through gradient descent learningNature Communications, 2022
2021
- Augmenting Supervised Learning by Meta-learning Unsupervised Local RulesIn NeurIPS 2019 Workshop Neuro AI, 2021
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2020
- A web-based automated machine learning platform to analyze liquid biopsy dataLab on a Chip, 2020
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2019
2018
- The Roles of Machine LearningIn Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium, 2018
- Modern machine learning as a benchmark for fitting neural responsesFrontiers in computational neuroscience, 2018
2016
- Polymer conjugation as a strategy for long-range order in supramolecular polymersThe Journal of Physical Chemistry B, 2016
2015
- Regulating ion transport in peptide nanotubes by tailoring the nanotube lumen chemistryThe journal of physical chemistry letters, 2015