| Jan 27, 2025 |
I gave a talk on “Understanding Fundamental Abilities of AI with synthetic experiments” at the Astro AI Lunch Seminar at Harvard Smithsonian Center for Astrophysics.
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| Dec 10, 2024 |
I will be presenting some of our works at NeurIPS 2024:
- Our work on concept learning and hidden emergence of compositional capabilties will be presented as a spotlight poster!
- Our work on algorithmic phases of in-context learning will be presented as a poster at the Workshop on Scientific Methods for Understanding Deep Learning.
- Our work on how LLMs can reorganize their representations in a context dependent way will be presented as a poster at the Workshop on Symmetry and Geometry in Neural Representations.
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| Dec 01, 2024 |
Our paper “Competition Dynamics Shape Algorithmic Phases of In-Context Learning” is on ArXiv!
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| Oct 10, 2024 |
Our paper “Dynamics of Concept Learning and Compositional Generalization” is on ArXiv!
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| Sep 27, 2024 |
Our paper: “Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space” is accepted to NeurIPS 2024 as a Spotlight!
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| Jul 03, 2024 |
Tunadorable made a video about our paper: “Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space”
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| Jul 02, 2024 |
I gave a talk about our project diff4stats at EAS 2024: “Probabilistic Completion of Astrophysical Fields for Robust Statistics with Diffusion Models”
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| Jun 27, 2024 |
Our paper “Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space” from our project concept_learning is on arxiv.
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| Jun 20, 2024 |
I gave a talk about our project vdm4cdm_3d at the AstroAI Workshop 2024: “3D probabilistic reconstruction of the local dark matter from galaxies”
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| Jun 17, 2024 |
A paper from our project vdm4cdm_3d has been accepted at ICML 2024 Workshop Ai4Science: “3D Reconstruction of Dark Matter Fields with Diffusion Models: Towards Application to Galaxy Surveys”
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| Jun 16, 2024 |
A paper from our project concept_learning has been accepted at ICML 2024 Workshop on High-dimensional Learning Dynamics: “Hidden Learning Dynamics of Capability before Behavior in Diffusion Models”
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| Mar 20, 2024 |
Our follow up paper of our project vdm4cdm_2d is on arxiv.
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| Mar 07, 2024 |
I gave a talk about our project vdm4cdm_2d at the ITC Luncheon: “Debiasing with Diffusion: Probabilistic reconstruction of Dark Matter field from galaxies”
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| Jan 23, 2024 |
I gave a quick presentation of our project vdm4cdm_3d on using Diffusion Models to generate dark matter fields at the workshop “AI-driven Discovery in Physics and Astrophysics” at Kavli IPMU.
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| Dec 09, 2023 |
I will be presenting two works at NeurIPS 2023 Workshops:
- Our work on using Diffusion Models to generate Dark Matter maps conditioned on stellar mass fields will be in the Workshop on Machine Learning and the Physical Sciences.
- Our work on correcting shadowed spectra in hyperspectral images using Iterative Logistic Regression and Bayesian Inference will be in the Workshop on Tackling Climate Change with Machine Learning.
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| Dec 05, 2023 |
Our work tracking individual neurons in C.elegans using synthetically augmented data is published in Nature Methods.
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| Nov 06, 2023 |
Our project SmartEM, on optimizing neural imaging with real time deep learning is on the MIT News.
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| Oct 30, 2023 |
I gave a talk about our project vdm4cdm_2d at the AstroAI lunch talk.
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| Oct 08, 2023 |
The paper about our project SmartEM is on bioarxiv.
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| Jul 23, 2023 |
I will be presenting our project SmartEM at the ICML 2023 Workshop on Computational Biology.
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| Jun 24, 2023 |
I will present our project Whole Brain Imaging at the International C.elegans Conference 2023.
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| May 25, 2023 |
Our work on constructing a galactic dustmap with minimal impact on cosmology is published in the Astrophysical Journal.
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| Apr 05, 2023 |
Our work on quantifying the effect of high-dimensional non-Gaussianity to statistical probes in cosmology is published in the Astrophysical Journal.
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| Mar 09, 2023 |
I will present our project targettrack at COSYNE 2023.
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| Mar 05, 2023 |
I will present our project targettrack at APS March Meeting 2023.
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| Jun 10, 2022 |
I will be presenting our work at AAS240.
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| Oct 13, 2021 |
Our work on quantitatively investigating latent spaces of Variational Autoencoders is on arxiv.
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| Sep 30, 2021 |
Our work on 3D imaging a nervous system in a naturalistic context is published in Cell. See the project Whole Brain Imaging.
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| Sep 01, 2019 |
I’m excited to start my Ph.D. program at Harvard Physics.
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