IDEAS Seminar: “Equivariant Neural Inertial Odometry”
Abstract: In this talk, we introduce a new class of problems related to integrating inertial measurements obtained from an IMU that play a significant role in navigation combined with visual […]
Biomedical Data Science Seminar Series – “Unlocking Brain Insights: Machine Learning for Neuroimaging Studies”
Modern neurotechnologies generate vast and intricate imaging data across multiple modalities, capturing nuanced aspects of brain structure and function in both healthy and diseased states, thus propelling neuroimaging into the […]
ASSET & Warren Center Research Mixer
The ASSET and Warren Center will be hosting a research mixer to welcome new PhD students and expose new and current students to the wide range of research in Penn […]
ASSET Seminar: “Towards Sustainable Artificial Intelligence and Datacenters”
Abstract: As the impact of artificial intelligence (AI) continues to proliferate, computer architects must assess and mitigate its environmental impact. This talk will survey strategies for reducing the carbon footprint […]
ASSET Seminar: “Machine Learning and Brain Imaging: Contributions to Diagnostics, Prognostication, and Treatment Guidance”
Abstract: Neuroimaging has significantly expanded our understanding of brain changes in neuropsychiatric disorders as well as in aging and neurodegenerative diseases. However, it wasn’t until the advent of machine learning […]
ASSET Seminar: “Multi-Omic Approaches for Deciphering Cellular Heterogeneity and Plasticity in Cancer”
Abstract: Tumors are complex and heterogeneous systems, which challenge their classification and treatment. The Silverbush lab decodes tumor heterogeneity and plasticity to understand how cancer cells transform to become more […]
BE Seminar: “Designing Programmable Protein Therapeutics with Generative Language Models” (Pranam Chatterjee, Duke University)
CRISPR has revolutionized biotechnology by enabling the simple design of guide RNAs to target and edit almost any DNA sequence. By developing new generative protein design algorithms, my hybrid lab […]
ASSET Seminar: Sayan Mitra (University of Illinois at Urbana Champaign)
ASSET Seminar: “Some Displaced Vignettes on Generalized Notions of Equivariance”
Abstract: The explicit incorporation of task-specific inductive biases through symmetry has emerged as a crucial design precept in the development of high-performance machine learning models. Symmetry-aware neural networks, such as […]
ASSET Seminar: “What’s In my Network? On Learned Proximals and Testing for Explanations”
Abstract: Modern machine learning methods are revolutionizing what we can do with data, from tiktok video recommendations to biomarkers discovery in cancer research. Yet, the complexity of these deep models […]