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Poster
A Scalable Machine Learning Approach to Go
Lin Wu · Pierre Baldi
Author Information
Lin Wu (University of California, Irvine)
Pierre Baldi (UC Irvine)
More from the Same Authors
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2021 : Deep learning reconstruction of the neutrino energy with a shallow Askaryan detector »
Stephen McAleer · Christian Glaser · Pierre Baldi -
2021 : G-SpaNet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention »
Alexander Shmakov · Shih-chieh Hsu · Pierre Baldi -
2022 : Geometry-aware Autoregressive Models for Calorimeter Shower Simulations »
Junze Liu · Aishik Ghosh · Dylan Smith · Pierre Baldi · Daniel Whiteson -
2022 : Foundations of Attention Mechanisms in Deep Neural Network Architectures »
Pierre Baldi · Roman Vershynin -
2022 : Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments »
JB Lanier · Stephen McAleer · Pierre Baldi · Roy Fox -
2022 : Foundations of Attention Mechanisms in Deep Neural Network Architectures »
Pierre Baldi · Roman Vershynin -
2021 Poster: XDO: A Double Oracle Algorithm for Extensive-Form Games »
Stephen McAleer · JB Lanier · Kevin A Wang · Pierre Baldi · Roy Fox -
2020 Poster: Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games »
Stephen McAleer · JB Lanier · Roy Fox · Pierre Baldi -
2019 Poster: Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes »
Lingge Li · Dustin Pluta · Babak Shahbaba · Norbert Fortin · Hernando Ombao · Pierre Baldi -
2018 Poster: On Neuronal Capacity »
Pierre Baldi · Roman Vershynin -
2018 Oral: On Neuronal Capacity »
Pierre Baldi · Roman Vershynin -
2017 : Poster session »
Abbas Zaidi · Christoph Kurz · David Heckerman · YiJyun Lin · Stefan Riezler · Ilya Shpitser · Songbai Yan · Olivier Goudet · Yash Deshpande · Judea Pearl · Jovana Mitrovic · Brian Vegetabile · Tae Hwy Lee · Karen Sachs · Karthika Mohan · Reagan Rose · Julius Ramakers · Negar Hassanpour · Pierre Baldi · Razieh Nabi · Noah Hammarlund · Eli Sherman · Carolin Lawrence · Fattaneh Jabbari · Vira Semenova · Maria Dimakopoulou · Pratik Gajane · Russell Greiner · Ilias Zadik · Alexander Blocker · Hao Xu · Tal EL HAY · Tony Jebara · Benoit Rostykus -
2014 Workshop: High-energy particle physics, machine learning, and the HiggsML data challenge (HEPML) »
Glen Cowan · Balázs Kégl · Kyle Cranmer · Gábor Melis · Tim Salimans · Vladimir Vava Gligorov · Daniel Whiteson · Lester Mackey · Wojciech Kotlowski · Roberto Díaz Morales · Pierre Baldi · Cecile Germain · David Rousseau · Isabelle Guyon · Tianqi Chen -
2014 Poster: Searching for Higgs Boson Decay Modes with Deep Learning »
Peter Sadowski · Daniel Whiteson · Pierre Baldi -
2014 Spotlight: Searching for Higgs Boson Decay Modes with Deep Learning »
Peter Sadowski · Daniel Whiteson · Pierre Baldi -
2013 Poster: Understanding Dropout »
Pierre Baldi · Peter Sadowski -
2013 Oral: Understanding Dropout »
Pierre Baldi · Peter Sadowski -
2012 Poster: Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction »
Pietro Di Lena · Pierre Baldi · Ken Nagata -
2012 Spotlight: Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction »
Pietro Di Lena · Pierre Baldi · Ken Nagata -
2011 Poster: A Machine Learning Approach to Predict Chemical Reactions »
Matthew A Kayala · Pierre Baldi -
2010 Workshop: Charting Chemical Space: Challenges and Opportunities for AI and Machine Learning »
Pierre Baldi · Klaus-Robert Müller · Gisbert Schneider -
2007 Poster: Mining Internet-Scale Software Repositories »
Erik Linstead · Paul Rigor, Ph.D. · sushil bajracharya · cristina lopes · Pierre Baldi -
2006 Talk: A Scalable Machine Learning Approach to Go »
Lin Wu · Pierre Baldi