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42:16 DEI in Innovation and Research - Engage 2022 DEI in Innovation and Research - Engage 2022	DEI in Innovation and Research - Engage 2022 Innovation and related research initiatives will continue to be an important ingredient to the future success of the country as a driver of economic growth, national security, and the health and… engage 2022 dei things students science programs bit folks commercialization diversity institutions faculty innovation activities thing plasma jersey field space equity training mentorship From Innovation Innovation Communication 0 likes 1 plays Date November 3rd, 2022 Speaker Latane Brackett, Arturo Dominguez, Treena Arinzeh, Chad Womack, Judith Sheft Department Princeton Innovation
53:26 2022-09-20 Supervisors Meeting 2022-09-20 Supervisors Meeting	2022-09-20 Supervisors Meeting ppplonly performance safety feedback things goals person goal team awards employees process assessment employee appraisal lab individuals training tiger award phase From Anthony Pizzo 0 likes 2 plays Location PPPL
05:11 15September2022_ENGLibraryCourtyard 15September2022_ENGLibraryCourtyard	15September2022_ENGLibraryCourtyard ppplonly space things margaret bit place trees weather guys hughes mark team lab color habitat roof motion training safety jim folks From PPPL Admins 0 likes 5 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 4 plays
55:54 DataX PPPL Workshop 5-2022_Kates-Harbeck DataX PPPL Workshop 5-2022_Kates-Harbeck	DataX PPPL Workshop 5-2022_Kates-Harbeck model learning machine things plasma disruption training models problem bit performance function kind features dataset output thing networks examples field From Broadcast Broadcast Center Staff 0 likes 7 plays
01:34:42 DataX PPPL Workshop 5-2022_Canziani DataX PPPL Workshop 5-2022_Canziani	DataX PPPL Workshop 5-2022_Canziani things thing points learning point image question model space location training representation face side lot manifold fact images pictures variable From Broadcast Broadcast Center Staff 0 likes 9 plays
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 19 plays Date July 25th, 2022 Speaker Adam Rebei Department Office of Undergraduate Research
26:53 2022-05_OSHASafetyStandDown 2022-05_OSHASafetyStandDown	2022-05_OSHASafetyStandDown fall safety protection ladder equipment scaffold guy level feet event rebar platform fault hazard place job left point training week ppplonly From PPPL Admins 0 likes 4 plays
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 43 plays Date April 27th, 2022 Speaker Albert Lin Department Computer Science
03:09 Making Models and Mining Mimics: Insights From… Making Models and Mining Mimics: Insights From Computer Vision Into How Biological Systems Solve Visual Problems, Yael Stochel, UG '22 (3965102)	Making Models and Mining Mimics: Insights From Computer Vision Into How Biological Systems Solve Visual Problems, Yael Stochel, UG '22 (3965102) Heliconius butterflies, a genus of butterfly that lives in South America, exhibit Mullerian mimicry, a type of mimicry in which toxic unrelated species evolve to share warning signals to teach and… mullerian mimicry machine learning images model species mimicry butterfly butterflies color erato birds subspecies mimics classification accuracy heliconius acuity similarity difference training learning machine From Research Princeton Research Day 0 likes 57 plays Date April 27th, 2022 Speaker Yael Stochel Department Computer Science, Environmental Studies
02:58 3D Object Reconstruction of Unseen and Unlabeled… 3D Object Reconstruction of Unseen and Unlabeled Point Clouds, Gene Chou, UG '22 (3963734)	3D Object Reconstruction of Unseen and Unlabeled Point Clouds, Gene Chou, UG '22 (3963734) Learning 3D representations of objects is a task at the heart of computer vision, robotic manipulation, scene understanding, medicine, and content generation. Implicit neural representations which… computer vision 3d objects 3d representation 3d reconstruction implicit neural representations signed distance functions (sdf) learn priors of 3d shapes episodic training object classes baseline points distance representations point training 3d detail surface sds method shapes stages baselines categories scale process scenarios From Research Princeton Research Day 0 likes 25 plays Date April 27th, 2022 Speaker Gene Chou Department Computer Science
02:58 Towards DESRED: A Diverse Explorable Super… Towards DESRED: A Diverse Explorable Super Resolution Evaluation Dataset, Phillip Taylor, UG '22 (3954081)	Towards DESRED: A Diverse Explorable Super Resolution Evaluation Dataset, Phillip Taylor, UG '22 (3954081) The task of explorable super resolution (ESR) reconstructs multiple possible high resolution (HR) image variants for a given single low resolution (LR) image. However, due to the novelty and… resolution image methods images evaluation problem input task method formulation contribution testing training types space creation desks lack ability sets From Research Princeton Research Day 0 likes 9 plays Date April 27th, 2022 Speaker Phillip Taylor Department Computer Science
01:50:29 Intro to Machine Learning, Part 4 of 4 Intro to Machine Learning, Part 4 of 4	Intro to Machine Learning, Part 4 of 4 This course is primarily intended for non-computer science students who want to understand the foundations of building and testing an ML pipeline, different model types, important considerations in… picscie research computing machine learning kind model lot things machine bias learning systems examples training recognition algorithm dataset questions image particle mind ways models images From Andrea Rubinstein 0 likes 7 plays Date January 21st, 2022 Speaker Savannah Thais Department PICSciE/Research Computing
58:52 The Evolution of Repressive Policing in Algeria. The Evolution of Repressive Policing in Algeria.	The Evolution of Repressive Policing in Algeria. police algeria crowd violence regime practices authorities protesters war instance media techniques force protests strategies quote units countries training end From Broadcast Broadcast Center Staff 0 likes 7 plays
02:55:09 Intro to Machine Learning, Part 2 of 4 Intro to Machine Learning, Part 2 of 4	Intro to Machine Learning, Part 2 of 4 Intro to Machine Learning, Part 2 of 4 picsc research computing network image things kind input model training text networks lot layer filter output filters features weights function learning bit representations From Andrea Rubinstein 0 likes 3 plays Date January 19th, 2022 Speaker Savannah Thais Department PICSciE/Research Computing
02:58:57 Intro to Machine Learning, Part 1 of 4 Intro to Machine Learning, Part 1 of 4	Intro to Machine Learning, Part 1 of 4 Intro to Machine Learning, Part 1 of 4 picscie research computing wintersession 2022 model kind machine function learning things training matrix lot decision features values loss parameters models network regression linear layer examples From Andrea Rubinstein 0 likes 25 plays Date January 18th, 2022 Speaker Savannah Thais Department PICSciE/Research Computing Location Zoom