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The biennial Cognitive Aging Conference is the premier conference for presentation of research about aging and cognition based on experimental cognitive psychology, cognitive neuroscience of aging, human factors …

Discussion Lead: Ruben Ohana[CCM] Topic: Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances Abstract: The Sliced-Wasserstein distance (SW) is a computationally efficient and theoretically …

Representational drift poses the question of how sensory perception, memory, motor behavior, and task performance are maintained over time, and provides a window into the adaptive properties of …

CCA Colloquium: Sarah Burke Spolaor Title:Hunting for the Biggest Binary Black Holes Abstract: Binary black holes store enormous energy, and in turn can be the brightest sources …

Topic: Importance sampling for reliable inference in Bayesian ODE models Abstract: We’ll be going over the paper by Tomonen et al, 2022. Statistical models can involve implicitly …

Bio: Rishi Sonthalia is currently a Hedrick Assistant Adjunct Professor at UCLA under Andrea Bertozzi, Jacob Foster, and Guido Montufar. He obtained by Ph.D. in Applied and …

… is critical to many biological processes such as the sensation of temperature. Here we will demonstrate the use of machine learning based techniques to study heterogeneity in …

… as well. March 30, 2023 Aaron Lauda | Heegaard Floer Homology as a quantum invariant March 30, 2023 Peter Ozsvath | Constructions in bordered Floer homology March 30, 2023 …

The need to catch some z’s is common throughout the animal kingdom, from blue whales to fruit flies. Yet, despite its prevalence and importance, sleep’s cause …

Title: Twistronics: A New Platform for Exploring Physics and Applications in 2D March 28, 2023 Efthimios Kaxiras: Twistronics: A New Platform for Exploring Physics and Applications in 2D

This meeting will explore the biological mechanisms that regulate trajectories of aging and enhance organismal resilience. Speakers will share lessons learned from multiple organ systems, organisms, and experimental …

Olfactory navigation is required for the survival of virtually all living creatures from unicellular organisms to mammals. This conference will focus on olfaction and spatial orientation as a …

CCA Colloquium: Adam Kowalski Title: Solar Flare Observations and Model Predictions for the Next Solar Magnetic Activity Maximum Abstract: Sunspot Cycle 25 has begun, and predictions for the …

Speaker: Sara Mostafavi, Ph.D., Paul Allen School of Computer Science and Engineering at University of Washington (UW). Topic: Sequence-based deep learning models of immune cell differentiation …

… differentiation with exact fast end-to-end optimization. 4) Hardware agnostic code which runs on CPUs, GPUs, and TPUs. 5) Modular and flexible architecture with easy extensions …

The vast majority of matter is invisible to us. The gravitational effects of this ‘dark matter’ play a critical role in explaining the cosmological evolution of the universe …

Speaker: Timothy W. Secomb, Ph.D., University of Arizona, Title: Making microvascular networks work: angiogenesis, remodeling and pruning Physiological transport of materials is accomplished mainly by convective transport …

10:00 Fruzsina Agocs Title: An adaptive spectral method for oscillatory second-order linear ODEs with frequency-independent cost 10:30 Jason Kaye Title: Hierarchical low-rank matrix …

… 2022 — the longest such tenure in NASA’s history. He was previously a professor of space science and aerospace engineering at the University of Michigan. Zurbuchen is …

CCA Colloquium: Vivana Acquaviva Title: Machine Learning with pen and paper Abstract: Are you deeply annoyed by the pervasivity of machine learning in any discussion nowadays? Do you …

… mice Mammalian mothers experience a suite of behavioral and physiological changes that occur during pregnancy, parturition, and lactation. In contrast, fathers do not gestate nor, in most …

Title: Quantum Embeddings and Strange Metals Abstract: Quantum embeddings are a versatile and successful family of approaches to study the quantum many-body problem. As a quantum generalization …

Speaker: Stas Shvartsman, Ph.D.

Title: Physical models and machine learning for photography and astronomy Abstract: We live in an era of data-driven approaches to image analysis, where modeling is sometimes considered …

Title: Physics-informed neural networks for fluid and ice dynamics Abstract: Physics-informed neural networks (PINNs) have recently emerged as a new class of numerical solvers for partial …