Vysogorets, A., Ahuja, K., Kempe, J. (2024). "Robust Data Pruning: Uncovering and Overcoming Implicit Bias". DMLR Workshop @ ICLR 2024. Preprint.

Vysogorets, A., Dawid A., Kempe, J. (2024). "Deconstructing the Goldilocks Zone of Neural Network Initialization". The 41st International Conference on Machine Learning.

Vysogorets, A., Kempe, J. (2023). "Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity". Journal of Machine Learning Research, 24, 99:1-99:23.

Braden, T., Vysogorets, A. (2020). "Kazhdan-Lusztig Polynomials of Matroids Under Deletion". Electronic Journal of Combinatorics, 27, (1).

Vysogorets, A., Gopal, A. (2023). "Towards Efficient Active Learning in NLP via Pretrained Representations". DMLR Workshop @ ICLR 2024.

Bhardwaj, D., Kempe, J., Vysogorets, A., Teng, A., Ezekwem, E.C. (2022). "ImpressLearn: Continual Learning via Combined Task Impressions". ArXiv, abs/2210.01987

Vysogorets, A., "The Kazhdan-Lusztig Polynomial of a Deletion Matroid". Advised by Tom Braden.