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41:52 DataX PPPL Workshop 5-2022_Melchior Part 1 DataX PPPL Workshop 5-2022_Melchior Part 1	DataX PPPL Workshop 5-2022_Melchior Part 1 distribution parameters simulation likelihood thing model parameter summary network values flow simulations space theta inference simulator transformations statistic density ways From Broadcast Broadcast Center Staff 0 likes 2 plays
54:42 DataX PPPL Workshop 5-2022_Adebayo DataX PPPL Workshop 5-2022_Adebayo	DataX PPPL Workshop 5-2022_Adebayo model input methods prediction explanation kind question image approaches task point method sort training models kinds network lot interpretability questions From Broadcast Broadcast Center Staff 0 likes 0 plays
50:22 DataX PPPL Workshop 5-2022_Smirnov DataX PPPL Workshop 5-2022_Smirnov	DataX PPPL Workshop 5-2022_Smirnov 3d geometry learning kind shape representations things boundary function surface patches points representation output network control input lot distance grid From Broadcast Broadcast Center Staff 0 likes 3 plays
03:26 OURSIP Intern- Icey Ai OURSIP Intern- Icey Ai	OURSIP Intern- Icey Ai model image network problem tool horses images dataset input parts transformations confidence percent fox users watermark decision cats brain models From our Undergraduate Research 0 likes 10 plays Speaker Ai Icey Department Office of Undergraduate Research
02:58 ReMatch Intern - Emily Paulin ReMatch Intern - Emily Paulin	ReMatch Intern - Emily Paulin Understanding Russian Public Opinion of the Invasion of Ukraine Mentors: Prof. Mark Beissinger, Politics Jacob Tucker, Politics opinion model media network 24th invasion questions cells poststratification population survey conflict percent level singer professor advisor faculty jacob mentor From our Undergraduate Research 0 likes 7 plays Date July 25th, 2022 Speaker Emily Paulin Department Office of Undergraduate Research
03:19 OURSIP Intern - Adam Rebei OURSIP Intern - Adam Rebei	OURSIP Intern - Adam Rebei Using Neural Networks to Solve Heterogeneous Agent Macroeconomic Models Mentor: Prof. Johnathan Payne, Economics models network households solution training agent summer equations cases wealth networks computer hyperparameters model process method learning equation heterogeneity economies From our Undergraduate Research 0 likes 4 plays Date July 25th, 2022 Speaker Adam Rebei Department Office of Undergraduate Research
03:12 OURSIP Intern - Vivian Chen OURSIP Intern - Vivian Chen	OURSIP Intern - Vivian Chen protein function amino sequence language position acid models substrate network 3d networks mutations model words proteins lot structure sites disruption From our Undergraduate Research 0 likes 6 plays Speaker Vivian Chen Department Office of Undergraduate Research
03:00 Ising Model on Locally Tree-like Graphs:… Ising Model on Locally Tree-like Graphs: Uniqueness of Solutions to Cavity Equations, Qian Yu, Post Doc (3000000)	Ising Model on Locally Tree-like Graphs: Uniqueness of Solutions to Cavity Equations, Qian Yu, Post Doc (3000000) In the study of Ising models on large locally tree-like graphs, in both rigorous and non-rigorous methods one is often led to understanding the so-called belief propagation distributional recursions… degradation network equation distribution problem ratio likelihood log movie observations channel communication theory tree presentation respect contraction streak forms evolution From Research Princeton Research Day 1 likes 34 plays Date April 28th, 2022 Speaker Qian Yu, Post Doc Department Electrical and Computer Engineering
03:02 Solving Sudoku Puzzles with Recurrent Neural… Solving Sudoku Puzzles with Recurrent Neural Networks, Richard Zhu, UG '23 (3967706)	Solving Sudoku Puzzles with Recurrent Neural Networks, Richard Zhu, UG '23 (3967706) Recent advancements in machine learning have allowed for near-human or even superhuman performance in applications spanning chess-playing, protein folding, and natural language generation. Sudoku, a… recurrent neural network puzzle methods network 3d values sudoku cells term model lstm respect problem column networks question relation recursion future months accuracy From Research Princeton Research Day 1 likes 68 plays Date April 27th, 2022 Speaker Richard Zhu Department Mechanical and Aerospace Engineering
03:05 How Nature’s Tiniest Soda Could Help Feed… How Nature’s Tiniest Soda Could Help Feed the World: The Story of the Algal Pyrenoid, Eric Franklin, G4 (3965535)	How Nature’s Tiniest Soda Could Help Feed the World: The Story of the Algal Pyrenoid, Eric Franklin, G4 (3965535) Plants are responsible for almost everything around us. Not just as crops for us or livestock to eat, but also for the wood that makes up our houses and furniture, the cotton that we wear as clothes,… reinforcement learning generalization interpretability neural network tubules co2 algae 3d plants proteins soda sugar membranes crop nature reconstructions difference rest middle matrix fertilizer water yields food From Research Princeton Research Day 6 likes 135 plays Date April 27th, 2022 Speaker Eric Franklin Department Molecular Biology
03:00 Using a Theory of Human Cognition to Improve… Using a Theory of Human Cognition to Improve Computer Agents, Albert Lin, UG '23 (3965329)	Using a Theory of Human Cognition to Improve Computer Agents, Albert Lin, UG '23 (3965329) Current reinforcement learning (RL) models still have difficulty generalizing to novel, but related, tasks. They are also often composed of deep neural networks which carry out computations that do… reinforcement learning generalization interpretability neural network model computer humans game baseline theory control attention levels models visualizations experiments network approach training decisions cognition initializations fruits From Research Princeton Research Day 3 likes 39 plays Date April 27th, 2022 Speaker Albert Lin Department Computer Science
02:58 Local Damages from Hurricanes: Application of… Local Damages from Hurricanes: Application of Machine Learning with Satellite Data, Katie Kolodner, UG '24 (3963520)	Local Damages from Hurricanes: Application of Machine Learning with Satellite Data, Katie Kolodner, UG '24 (3963520) Though hurricanes are some of the most destructive natural disasters, with the frequency of intense and damaging hurricanes increasing due to climate change, current estimates of damages from… machine learning satellite imagery hurricanes building damage arcgis pro damage result buildings imagery experimentation prediction building hurricane localization target pre max disaster representation polygons models model image network From Research Princeton Research Day 1 likes 34 plays Date April 27th, 2022 Speaker Katie Kolodner Department Operations Research and Financial Engineering
02:55 A Tale of Modern Computers and the Ancient… A Tale of Modern Computers and the Ancient Seafloor, Indu Panigrahi, UG '23 (3926464)	A Tale of Modern Computers and the Ancient Seafloor, Indu Panigrahi, UG '23 (3926464) When teaching a student, you sometimes have to come up with more than one way of explaining the same concept. The same ideas apply when teaching a machine how to interpret images. We have images from… archaeocyathids archaeos convolutional neural network 3d image model images reefs ways locations scale dataset cnn rtos rq reef pixels method methods notes tune objects arc From Research Princeton Research Day 3 likes 99 plays Date April 27th, 2022 Speaker Indu Panigrahi Department Computer Science
02:59 SmartCookie: Distributed In-Network SYN Flooding… SmartCookie: Distributed In-Network SYN Flooding Mitigation, Sophia Yoo, G2 (3938706)	SmartCookie: Distributed In-Network SYN Flooding Mitigation, Sophia Yoo, G2 (3938706) SYN-flooding attacks, a pervasive class of DDoS attacks, target the TCP three-way handshake to exhaust server resources, leading to poor performance for legitimate clients. In this work, we present… server defense memory switch network adversary attack connection syn cookie packets attacks side model traffic packet responsibilities scale switches upstream From Research Princeton Research Day 0 likes 73 plays Date April 27th, 2022 Speaker Sophia Yoo, G2 Department Electrical and Computer Engineering
01:02:05 4.18.2022 MAE Faculty Search 4.18.2022 MAE Faculty Search	4.18.2022 MAE Faculty Search droplets network structure material size phase droplet oil things polymer energy silicone temperature thing question systems process properties bit separation From Broadcast Broadcast Center Staff 0 likes 14 plays
01:52:46 Intro to Machine Learning, Part 3 of 4 Intro to Machine Learning, Part 3 of 4	Intro to Machine Learning, Part 3 of 4 Intro to Machine Learning, Part 3 of 4 picscie research computing clusters network examples things kind clustering image space points input lake distribution dataset model learning detection cluster distance machine autoencoder From Andrea Rubinstein 0 likes 3 plays Date January 21st, 2022 Speaker Savannah Thais Department PICSciE/Research Computing