Udith Haputhanthri @Udithhaputhant2
PhD student @Princeton Past: Post-Bac Fellow @Stanford @Harvard Undergrad @ENTC_UoM Natural and Artificial Intelligence udithhaputhanthri.github.io Palo Alto, CA Joined April 2020-
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I'm thrilled to share my first work with @fatihdin4en @MartaBlancoPozo @akenginorhun @jizhou1235 and others at the Schnitzer Lab! 🧵 TL;DR: ActSort – An active learning-accelerated cell sorting algorithm for large-scale calcium imaging datasets [biorxiv.org/content/10.110…]
I'm excited to be at ICML, presenting our group's latest work on the science of AI and alignment. 🥳 Visit our poster, and feel free to reach out for a chat! See website for more of our recent works: sites.google.com/view/htanaka/h…
Work co-supervised with @Hidenori8Tanaka, led by @Udithhaputhant2, has now been accepted to ICML Mechanistic Interpretability workshop. TLDR: High-dimensional bifurcations underly skill acquisition in task-trained RNNs Link: openreview.net/forum?id=njmXd… A tweetprint🧵
Super excited to share that I’ve joined the Schnitzer Group at @Stanford as a Visiting Student Researcher. I will be working at the intersection of Comp. Neuro, ML, and Physics, towards understanding neural computation and bridging the gap between AI and biological intelligence.
Join us today and tomorrow for workshop presentations and discussions at #NeurIPS2023!
Join us today and tomorrow for workshop presentations and discussions at #NeurIPS2023!
At #NeurIPS2023 to share a series of works on "Physics of AI" and "AI for Neuroscience" from NTT Research at Harvard CBS team! 🎉 Find me at the posters and/or DM me to chat & explore collaborations! Can't thank the Summer 2023 team enough♥️: @EkdeepL @fatihdin4en @MayaOkawa…
I am thrilled to share that I joined the Center for Advanced Imaging at @Harvard as a Post-Baccalaureate Research Fellow. Really happy to be here and excited to discover new things !!!
[2203.14944] Kithmini Herath, Udith Haputhanthri, Ramith Hettiarachchi et al.: Differentiable Microscopy Designs an All Optical Quantitative Phase Microscope arxiv.org/abs/2203.14944 arxiv.org/pdf/2203.14944… #physics_optics
Photons from the East @PhotonicsWest. Let’s talk #DEEP at level 3 South!
So excited to announce that our paper titled “Towards Accurate Cross-Domain In-Bed Human Pose Estimation” got accepted at ICASSP 2022! @ieeeICASSP #ICASSP2022
So excited to announce that our paper titled “Towards Accurate Cross-Domain In-Bed Human Pose Estimation” got accepted at ICASSP 2022! @ieeeICASSP #ICASSP2022
Did my first invited talk on "Machine Learning in Action" in the Binary webinar series with @KimiHerath. The focus was to give hands-on experience on starting a Machine Learning Project. Thank you @0xAIT for the opportunity and support !!
Congratulations Team!! ♥️ @MohamedAfham14 @JathuPradeep @Udithhaputhant2 @Mithu_ananth
Congratulations Team!! ♥️ @MohamedAfham14 @JathuPradeep @Udithhaputhant2 @Mithu_ananth
Glad that our team was able to take the name of @ENTC_UoM & Sri Lanka to the world ❤️ signalprocessingsociety.org/community-invo… @ieeeICASSP #SignalProcessingCup
Glad that our team was able to take the name of @ENTC_UoM & Sri Lanka to the world ❤️ signalprocessingsociety.org/community-invo… @ieeeICASSP #SignalProcessingCup https://t.co/LhzW784Ws2
Checkout our recent work on tackling few-shot image classification problem using language descriptions of image classes. arxiv.org/pdf/2104.12709… #ComputerVision #DeepLearning
Check out my new article on Wasserstein GANs where I explain the following. 1. Intuition behind WGANs, 2. Comparison between WGANs and conventional GANs, 3. Mathematical background of the Gradient Penalty-based WGAN, 4. Implementation of WGAN from scratch using PyTorch
Check out my new article on Wasserstein GANs where I explain the following. 1. Intuition behind WGANs, 2. Comparison between WGANs and conventional GANs, 3. Mathematical background of the Gradient Penalty-based WGAN, 4. Implementation of WGAN from scratch using PyTorch
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds deepai.org/publication/a-… by @ramithuh et al. #TransferLearning #ConvolutionalNeuralNetwork
Happy to share some info about our paper which was recently accepted at @IEEEISCAS 2021 Thread, 👇 (1/6) Team: @ramithuh, @Udithhaputhant2, @KimiHerath, Hasindu, @shehan_u_e_m, @k1thR95, Dr. Duminda, Dr. Anjula, Dr. Chamira
I just published "Image-to-Image Translation Using Conditional DCGANs !!!" on medium. link.medium.com/VNdqX8ue46 Pytorch implementation is included !!!
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