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Title: Is good machine learning bad for science? Abstract: ML is now baked into many scientific projects. I give two example contexts in which even very well-trained …

… ratios in quiescent galaxies – Kate Whitaker 3:15-3:45  Coffee break 3:45-4:10  Cosmic Evolution of Atomic and Molecular Gas within Dark Matter Halos …

CCA Colloquium: Ylva Gotberg Title: The discovery and properties of binary-stripped helium stars Abstract: Massive stars stripped of their H-rich envelopes through mass transfer or common …

Title: Machine learning for climate modeling Abstract: Climate simulations remain one of the best tools to understand and predict global and regional climate change. Yet, these simulations demand …

Discussion Lead: Samuel Livingstone Topic: The Barker proposal: Combining robustness and efficiency in gradient‐based MCMC Abstract: There is a tension between robustness and efficiency when designing Markov …

… drag on their larger bodies. Without such a collective balancing mechanism, the swimming speed of uniflagellar bacteria generically decreases with increasing body size. As such, our study …

Space asteroseismology — the study of waves inside stars using space-based telescopes — saw its birth less than two decades ago, yet it has already revolutionized our understanding of …

The first open Community Meeting for Calcium and Voltage Imaging Analysis using Caiman, Fastplotlib, and Mesmerize. Come and chat with developers and users about where things are, and …

Title: Numerical methods + ML for simulation of turbulent systems Abstract: Simulations of turbulent flows are routinely used in fundamental research and have numerous practical applications such as climate …

Title: Numerical methods + ML for simulation of turbulent systems Abstract: Simulations of turbulent flows are routinely used in fundamental research and have numerous practical applications such as climate …

Speaker: Jason Kaelber, Rutgers University Title: Three CryoEM stories: discovery of a new pathogen, escaping pseudosymmetry traps, and limitations to resolution. To crack a nationwide pandemic in farmed …

Flatiron Institute community members are cordially invited to a CCN Seminar with Eli Sennesh, PhD student at Northeastern University. To schedule an appointment with Eli, please contact Jessica …

This workshop aims to provide a community-building forum for researchers at all career stages interested in the interface between zebrafish neuroscience and computation to come together, share …

CCA Colloquium: Kaitlin Kratter Title: The origins of planets and the stars they orbit. Abstract: A satisfying theory for star or planet formation should not consider these processes …

Discussion Lead: Yuling Yao [CCM] Topic: Computation and evaluation without the likelihood—Or did you forget to compute it? Abstract: Both computation and model-evaluation become hard when …

Konstantin Mischaikow (Rutgers) will be presenting to the group. If you would like to meet with Professor Mischaikow while he is visiting, please be in touch with Jessica …

Speaker: Gilles Francfort, Ph.D., Research Scientist Topic: The role of stability in macroscopic solids with defects This is meant to be a short narration of the efforts …

Title: Tensor decompositions reveal neural signatures of cognitive and behavioral state changes Abstract: Perceptions, thoughts, and actions unfold over millisecond timescales, while learned behaviors can require many days …

The microbes that live on and inside us play a surprisingly significant role in our health and the progression of diseases. But the human microbiome is not static …

The first open Community Meeting for Calcium and Voltage Imaging Analysis using Caiman, Fastplotlib, and Mesmerize. Come and chat with developers and users about where things are, and …

The first open Community Meeting for Calcium and Voltage Imaging Analysis using Caiman, Fastplotlib, and Mesmerize. Come and chat with developers and users about where things are, and …

Title: Generalized tensor decomposition: Utility for data analysis and mathematical challenges Abstract: Tensor decomposition is an unsupervised learning methodology that has applications in a wide variety of domains …

Title: Generalized tensor decomposition: Utility for data analysis and mathematical challenges Abstract: Tensor decomposition is an unsupervised learning methodology that has applications in a wide variety of domains …

… boundary-breaking documentaries rooted in scientific ideas that inform society and culture. Harrop is a hands-on executive producer. Her credits include “Fire of Love” (nominated for …

CCA Colloquium: Pedro Espino Title: Constraining high-density deconfinement phase transitions with gravitational wave spectroscopy of binary neutron star mergers Abstract: The determination of the state of matter …

Discussion Lead: Trevor Campbell [University of British Columbia] Topic: MixFlows: Principled Variational Bayesian Inference via Approximately Measure-Preserving Maps Abstract: This talk will introduce mixed variational flows (MixFlows …

The IBRO-Simons Computational Neuroscience Imbizo, or isiCNI is an opportunity for African and international students to learn about cutting edge research techniques in computational neuroscience. The format …

… 13, 2023 Carole LaBonne | Quantitative analysis of transcriptome dynamics provides novel insights into developmental state transitions April 14, 2023 William Kath | Quantifying dynamical changes and statistics of …

Over the last few decades, experimental physicists have observed quantum effects in the vibrations of mechanical resonators in a surprising range of experiments and sizes of objects. Achieving …

The first open Community Meeting for Calcium and Voltage Imaging Analysis using Caiman, Fastplotlib, and Mesmerize. Come and chat with developers and users about where things are, and …

Title: Machine learning for climate modeling Abstract: Climate simulations remain one of the best tools to understand and predict global and regional climate change. Yet, these simulations demand …

Title: Advances in Optically Driven Cuprate Superconductivity April 11, 2023 Andrea Cavalleri: Advances in Optically Driven Cuprate Superconductivity