Erika Fille Legara
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  • Awards
    • Tatler Impact Award in Science and Innovation
    • Tatler Asia's Most Influential
    • Women in AI APAC Awards Finalist
    • The Asian Scientist 100
    • The Outstanding Women in the Nation's Service
    • Asia 21 Young Leader (Class 2022)
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    • Outstanding Young Scientist (Physics/Data Science)
    • The Outstanding Young Men
  • Blog
    • The Monty Hall Problem in Digital Transformation: Overcoming Cognitive Biases
    • Uncertainty, Behavior, and the Limits of Rationality
    • AI Governance and Complianceβ€”Who’s Accountable?
    • Rethinking Assessments in the Age of Generative AI
    • Unlocking the AI Advantage – The Future Won’t Wait
    • The Intersection of AI, Physics, and the 2024 Nobel Prize
    • Evolving Landscape of Data Science Leadership Education
    • Bridging the AI Gap and Fostering Equity within ASEAN
    • Realities of AI Adoption in Enterprises
    • The Joy and Necessity of Lifelong Learning in the AI Era
    • Unpacking AI Governance Principles and Frameworks
    • Aligning AI with Business Realities
    • Building Your Career Is More Than Technical
    • My Speech as MD at the Launch of the Center for AI Research
    • Reflecting on Seven Incredible Years as APD of the MSc in Data Science
    • Driving Efficiency Innovation Through Enterprise AI Collaboration
    • Educators+Machines - Reshaping the Future of Business Education
    • The Importance of Functional Analysts in Data-Driven Organizations
    • Human Capital is the Main Asset for Innovation and Digital Transformation
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  • Publications
    • Typology, network features and damage response in worldwide urban road systems
    • Forecasting Reservoir Water Levels Using Deep Neural Networks: A Case Study of Angat Dam in the Philippines
    • Generalized radiation model for human migration
    • An analysis of network filtering methods to sovereign bond yields during COVID-19
    • Phase Transition in Taxi Dynamics and Impact of Ridesharing
    • School hazard vulnerability and student learning
    • Formulation of a Resilience Index for Metropolitan Rapid Transit Networks
    • Characterisation and comparison of spatial patterns in urban systems: A case study of U.S. cities
    • Inferring Passenger Types from Commuter Eigentravel Matrices
    • Impacts of land use and amenities on public transport use, urban planning and design
    • Generalized Cross Entropy Method for estimating joint distribution from incomplete information
    • Non-invasive Procedure to Probe the Route Choices of Commuters in Rail Transit Systems
    • Tweeting Supertyphoon Haiyan: Evolving Functions of Twitter during and after a Disaster Event
    • How Voters Combine Candidates on the Ballot: The Case of the Philippine Senatorial Elections
    • A data-driven agent-based model of congestion and scaling dynamics of rapid Transit systems
    • An example journal article
    • A Dynamical Model of Twitter Activity Profiles
    • Mechanism-based model of a mass rapid transit system: A perspective
    • Criticality of forcing directions on the fragmentation and resilience of grid networks
    • Critical capacity, travel time delays and travel time distribution of rapid mass transit systems
    • On centripetal flows of entities in scale‐free networks with nodes of finite capability
    • Simulating Congestion Dynamics of Train Rapid Transit Using Smart Card Data
    • A network perspective on the calamity, induced inaccessibility of communities and the robustness of centralized, landbound relief efforts
    • News Frames of the Population Issue in the Philippines
    • Complex network tools in building expert systems that perform framing analysis
    • Finding Frames: Comparing Two Methods of Frame Analysis
    • Power-law Mapping in Human Area Perception
    • Ranking of predictor variables based on effect size criterion provides an accurate means of automatically classifying opinion column articles
    • Visual and Auditory Cues Significantly Reduce Human's Intrinsic Biases when Tasked to Generate a Random Number Sequence
    • News Framing of Population and Family Planning Issues via Syntactic Network Analysis
    • Competition in a Social Structure
    • Earning potential in multilevel marketing enterprises
  • Recent & Upcoming Talks
    • The Role of the Board in AI Transformation
    • Operationalizing AI Governance
    • 8th Ayala Corporation-FINEX π‘­π’Šπ’π’‚π’π’„π’† π‘Ίπ’–π’Žπ’Žπ’Šπ’• and FINEX 9th GMM
    • GNAM Deans and Directors Meeting
    • AACSB ICAM
    • Generative AI for Business: A Masterclass
    • Humanlike AI: Revolutionizing Productivity and Navigating Its Benefits
    • National Youth Congress
    • AECOM Webinar Series
    • Innovation in the COVID-19 Economy
    • Mulat Pinoy - Kabataan News Network
    • AFP Integrated Missle System Program Workshop
    • 41st GACPA Annual National Convention and Seminar
    • FY 2020 Infor Manila Kick-Off Event
    • National DOST Scholars' Summit 2019
    • Women's Summit - Marilao, Bulacan
    • Women Empowerment Talk
    • Masterclass: Data Science in Logistics & Supply Chain
    • Masterclass: Data Science in Finance & Marketing
    • Forum on Competition in Developing Countries
    • Technology and Inclusion in Asia
    • AACSB Asia Pacific Annual Conference
  • Teaching
    • Business Analytics
    • Complexity Science
    • Data Visualization and Storytelling
    • Network Science
    • Introduction to Data Science and Ethics

PyTorch

Oct 26, 2023 Β· 1 min read
Go to Project Site

PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.

Last updated on May 19, 2024
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E.F. Legara
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E.F. Legara
Chief AI and Data Officer
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