Papers 3 entries

ICLR 2025 2025

HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics

Jingxuan Fan*, Sarah Martinson*, Erik Wang*, Kaylie Hausknecht*, Jonah Brenner, Danxian Liu, Nianli Peng, Corey Wang, Michael Brenner (2024)

ICLR 2025 · *Equal contribution

@inproceedings{fan2025hardmath,
  title     = {HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics},
  author    = {Fan, Jingxuan and Martinson, Sarah and Wang, Erik and Hausknecht, Kaylie and Brenner, Jonah and Liu, Danxian and Peng, Nianli and Wang, Corey and Brenner, Michael},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year      = {2025}
}
PNAS 2024

Control of Flow Behavior in Complex Fluids Using Automatic Differentiation

Mohammed Alhashim, Kaylie Hausknecht, Michael Brenner (2024)

Proceedings of the National Academy of Sciences of the United States of America (PNAS), 122(8)

@article{alhashim2025control,
  title   = {Control of Flow Behavior in Complex Fluids Using Automatic Differentiation},
  author  = {Alhashim, Mohammed and Hausknecht, Kaylie and Brenner, Michael},
  journal = {Proceedings of the National Academy of Sciences},
  volume  = {122},
  number  = {8},
  doi     = {10.1073/pnas.2403644122},
  year    = {2025}
}
The Astrophysical Journal 2022

ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier that Validates 301 New Exoplanets

Hamed Valizadegan, Miguel Martinho, Laurent S. Wilkens, Jon M. Jenkins, Jeffrey Smith, Douglas A. Caldwell, Joseph D. Twicken, Pedro C. Gerum, Nikash Walia, Kaylie Hausknecht, Noa Y. Lubin, Stephen T. Bryson, Nikunj C. Oza (2022)

The Astrophysical Journal, 926(2), 120

@article{valizadegan2022exominer,
  title   = {ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets},
  author  = {Valizadegan, Hamed and Martinho, Miguel and Wilkens, Laurent S. and Jenkins, Jon M. and Smith, Jeffrey C. and Caldwell, Douglas A. and Twicken, Joseph D. and Gerum, Pedro C. L. and Walia, Nikash and Hausknecht, Kaylie and Lubin, Noa Y. and Bryson, Stephen T. and Oza, Nikunj C.},
  journal = {The Astrophysical Journal},
  volume  = {926},
  number  = {2},
  pages   = {120},
  doi     = {10.3847/1538-4357/ac4399},
  year    = {2022}
}

Talks 10 entries

April 2025

HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics

ICLR · Singapore

December 2024

HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics

NeurIPS Math AI Workshop · Vancouver, Canada

August 2024

Inverse Design of Complex Fluids with Fully Differentiable Particle Dynamics

Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) Summer Workshop · Cambridge, MA

November 2023

Optimizing Mixing in Porous Media via Automatic Differentiation

American Physical Society Division of Fluid Dynamics Annual Meeting · Washington, DC

July 2023

Optimizing Chaotic Mixing with Automatic Differentiation

AI Institute in Dynamic Systems · Seattle, WA

March 2021

Machine Learning Correlates Charge Density Wave with the Local Gap in Cuprate Superconductors

American Physical Society March Meeting · Virtual

January 2021

Machine Learning Correlates Charge Density Wave with the Local Gap in Cuprate Superconductors

American Physical Society Conference for Undergraduate Women in Physics · Virtual

January 2020

Local correlations in disordered materials with neural networks

Machine Learning Quantum Matter Data, Simons Foundation · New York, NY

March 2019

Machine Learning Correlates CDW Properties with Local Gap in Cuprates

American Physical Society March Meeting · Boston, MA

July 2018

Identifying Inhibitors of T-Cell Activation in Microgravity: Proposal for the International Space Station

International Space Station R&D Conference · San Francisco, CA