Spring 2024

Understanding and harnessing reinforcement learning for security purposes

Wenbo Guo, Department of Computer Science 05/31/2024

Initialization Matters for Adversarial Transfer Learning

Andong Hua, Department of Electrical & Computer Engineering 05/17/2024 Read More

Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data

Antonis Antoniades, Department of Computer Science 05/03/2024 Read More

Organoids and Topology

Eve Bodnia, Department of Physics 04/19/2024

Winter 2024

Neural Emulators and Hamiltonian Monte Carlo for Parameter Inferences

Diego Gonzalez, Department of Electrical & Computer Engineering 03/07/2024

Geometry of Neural Manifolds

Francisco Acosta, Department of Physics, and Electrical & Computer Engineering 02/22/2024 Read More

No Dataset Left Behind: DIET for Stable and Data Efficient Self-Supervised Learning

David Klindt, Department of Electrical & Computer Engineering 01/25/2024

Spring 2023

Architectures of Topological Deep Learning

Mathilde Papillon, Department of Physics, and Electrical & Computer Engineering 05/19/2023 Read More

Probabilistic ML with p-bits

Kerem Camsari, Department of Electrical & Computer Engineering 05/05/2023 Read More

Symbolic Regression for Dynamical Systems with Neural ODEs

Colby Fronk, Department of Chemical Engineering 04/21/2023 Read More

Winter 2023

Trustworthy and Explainable ML for Networks

Arpit Gupta, Department of Computer Science 03/10/2023

ML Algorithms for Imaging and Graphics

Pradeep Sen, Department of Electrical & Computer Engineering 03/03/2023

Manifold Learning for Non-Linear Dynamics

Paul Atzberger, Department of Mathematics, and Mechanical Engineering 02/17/2023

ML for Neuroprostheses

Michael Beyeler, Department of Computer Science 02/10/2023

Federated Learning

Ramtin Pedarsani, Department of Electrical & Computer Engineering 02/03/2023

Tensor-Compressed Neural Networks for Edge AI

Zheng Zhang, Department of Electrical & Computer Engineering 01/27/2023

Fairness in Machine Learning

Haewon Jeong, Department of Electrical & Computer Engineering 01/20/2023

Geometric Machine Learning

Nina Miolane, Department of Electrical & Computer Engineering 01/13/2023