All paper pages
28734 retained paper pages. Page 108 of 288.
- Tidal forces are gravitational waves
Rituparno Goswami, George F. R. Ellis · 2019
- Learning a faceted customer segmentation for discovering new business opportunities at Intel
Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope · 2019
- Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
E. Kharazmi, Z. Zhang, G. E. Karniadakis · 2019
- LOGAN: Latent Optimisation for Generative Adversarial Networks
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap · 2019
- A Simple Proof of the Fundamental Theorem of Asset Pricing
Keith A. Lewis · 2019
- Towards Understanding the Spectral Bias of Deep Learning
Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu · 2019
- Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard
Daan van Esch, Elnaz Sarbar, Tamar Lucassen, Jeremy O'Brien, Theresa Breiner, Manasa Prasad, Evan Crew, Chieu Nguyen, Françoise Beaufays · 2019
- Deep Learning for Symbolic Mathematics
Guillaume Lample, François Charton · 2019
- Adversarial Embedding: A robust and elusive Steganography and Watermarking technique
Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon · 2019
- BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa, Olga Afanasjeva, Simon Andersson, Joseph Davidson, Nicholas Guttenberg, Petr Hlubuček, Martin Poliak, Jaroslav Vítku, Jan Feyereisl · 2019
- Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi · 2019
- Discovery of Protoclusters at z~3.7 & 4.9: Embedded in Primordial Superclusters
Jun Toshikawa, Matthew A. Malkan, Nobunari Kashikawa, Roderik Overzier, Hisakazu Uchiyama, Kazuaki Ota, Shogo Ishikawa, Kei Ito · 2019
- Learning Multi-dimensional Indexes
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska · 2019
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala · 2019
- Celebrating Three Decades of Worldwide Stock Market Manipulation
Bruce Knuteson · 2019
- Radiation hardness study for the COMET Phase-I electronics
Yu Nakazawa, Yuki Fujii, Ewen Gillies, Eitaro Hamada, Youichi Igarashi, MyeongJae Lee, Manabu Moritsu, Yugo Matsuda, Yuta Miyazaki, Yuki Nakai, Hiroaki Natori, Kou Oishi, Akira Sato, Yoshi Uchida, Kazuki Ueno, Hiroshi Yamaguchi, BeomKi Yeo, Hisataka Yoshida, Jie Zhang · 2019
- SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning
Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramer, Giulia Fanti, Ari Juels · 2019
- Handwriting-Based Gender Classification Using End-to-End Deep Neural Networks
Evyatar Illouz, Eli David, Nathan S. Netanyahu · 2019
- StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha · 2019
- To beer or not to beer: does tapping beer cans prevent beer loss? A randomised controlled trial
Elizaveta Sopina, Irina E. Antonescu, Thomas Hansen, Torben Hoejland, Morten M. Jensen, Simon V. Pedersen, Wade Thompson, Philipp Weber, Jamie O Halloran, Melissa G. Beach, Ryan Pulleyblank, Elliot J. Brown · 2019
- Fantastic Generalization Measures and Where to Find Them
Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio · 2019
- Is the expansion of the universe accelerating? All signs still point to yes a local dipole anisotropy cannot explain dark energy
David Rubin, Jessica Heitlauf · 2019
- Playing Pool with $|ψ\rangle$: from Bouncing Billiards to Quantum Search
Adam R. Brown · 2019
- Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data
Benjamin Coleman, Anshumali Shrivastava · 2019
- Gobi: WebAssembly as a Practical Path to Library Sandboxing
Shravan Narayan, Tal Garfinkel, Sorin Lerner, Hovav Shacham, Deian Stefan · 2019
- Deep Double Descent: Where Bigger Models and More Data Hurt
Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever · 2019
- Improving Policies via Search in Cooperative Partially Observable Games
Adam Lerer, Hengyuan Hu, Jakob Foerster, Noam Brown · 2019
- Lower Bounds for Non-Convex Stochastic Optimization
Yossi Arjevani, Yair Carmon, John C. Duchi, Dylan J. Foster, Nathan Srebro, Blake Woodworth · 2019
- Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort, Huiyi Hu, Balaji Lakshminarayanan · 2019
- Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan · 2019
- Neural Tangents: Fast and Easy Infinite Neural Networks in Python
Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz · 2019
- Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
Juergen Schmidhuber · 2019
- Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve
Thomas Schöps, Viktor Larsson, Marc Pollefeys, Torsten Sattler · 2019
- Surveying the reach and maturity of machine learning and artificial intelligence in astronomy
Christopher J. Fluke, Colin Jacobs · 2019
- TeleHammer: A Formal Model of Implicit Rowhammer
Zhi Zhang, Yueqiang Cheng, Dongxi Liu, Surya Nepal, Zhi Wang · 2019
- Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky · 2019
- The Ising Model with Hybrid Monte Carlo
Johann Ostmeyer, Evan Berkowitz, Thomas Luu, Marcus Petschlies, Ferenc Pittler · 2019
- Geometric Capsule Autoencoders for 3D Point Clouds
Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov · 2019
- Dissecting the Graphcore IPU Architecture via Microbenchmarking
Zhe Jia, Blake Tillman, Marco Maggioni, Daniele Paolo Scarpazza · 2019
- From Reinforcement Learning to Optimal Control: A unified framework for sequential decisions
Warren B Powell · 2019
- Machine Unlearning
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot · 2019
- Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter
Ansgar Kellner, Lisa Rangosch, Christian Wressnegger, Konrad Rieck · 2019
- Not so fast: LB-1 is unlikely to contain a 70 $M_{\odot}$ black hole
Kareem El-Badry, Eliot Quataert · 2019
- Subreddit R/unpopularopinion: Against the Spiral of Silence
Linh Hoang, Gerry Oei, Dasom Eom · 2019
- Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova, Alan Mislove, Aaron Rieke · 2019
- The Young Suns Exoplanet Survey: Detection of a wide orbit planetary mass companion to a solar-type Sco-Cen member
A. J. Bohn, M. A. Kenworthy, C. Ginski, C. F. Manara, M. J. Pecaut, J. de Boer, C. U. Keller, E. E. Mamajek, T. Meshkat, M. Reggiani, K. O. Todorov, F. Snik · 2019
- Implementation of the XY interaction family with calibration of a single pulse
Deanna M. Abrams, Nicolas Didier, Blake R. Johnson, Marcus P. da Silva, Colm A. Ryan · 2019
- Plato's cube and the natural geometry of fragmentation
Gábor Domokos, Douglas J. Jerolmack, Ferenc Kun, János Török · 2019
- Can we travel to the past? Irreversible physics along closed timelike curves
Carlo Rovelli · 2019
- PLIERS: A Process that Integrates User-Centered Methods into Programming Language Design
Michael Coblenz, Gauri Kambhatla, Paulette Koronkevich, Jenna L. Wise, Celeste Barnaby, Joshua Sunshine, Jonathan Aldrich, Brad A. Myers · 2019
- A note on supersymmetry and stochastic differential equations
Francesco C. De Vecchi, Massimiliano Gubinelli · 2019
- V0LTpwn: Attacking x86 Processor Integrity from Software
Zijo Kenjar, Tommaso Frassetto, David Gens, Michael Franz, Ahmad-Reza Sadeghi · 2019
- Roles for Computing in Social Change
Rediet Abebe, Solon Barocas, Jon Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson · 2019
- Early-type Host Galaxies of Type Ia Supernovae. II. Evidence for Luminosity Evolution in Supernova Cosmology
Yijung Kang, Young-Wook Lee, Young-Lo Kim, Chul Chung, Chang Hee Ree · 2019
- Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila · 2019
- Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao · 2019
- Oktoberfest Food Dataset
Alexander Ziller, Julius Hansjakob, Vitalii Rusinov, Daniel Zügner, Peter Vogel, Stephan Günnemann · 2019
- RVSDG: An Intermediate Representation for Optimizing Compilers
Nico Reissmann, Jan Christian Meyer, Helge Bahmann, Magnus Själander · 2019
- Schrödinger-ANI: An Eight-Element Neural Network Interaction Potential with Greatly Expanded Coverage of Druglike Chemical Space
James M. Stevenson, Leif D. Jacobson, Yutong Zhao, Chuanjie Wu, Jon Maple, Karl Leswing, Edward Harder, Robert Abel · 2019
- Array Languages Make Neural Networks Fast
Artjoms Šinkarovs, Hans-Nikolai Vießmann, Sven-Bodo Scholz · 2019
- A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence
Michael C. Horowitz, Paul Scharre, Alexander Velez-Green · 2019
- FlauBERT: Unsupervised Language Model Pre-training for French
Hang Le, Loïc Vial, Jibril Frej, Vincent Segonne, Maximin Coavoux, Benjamin Lecouteux, Alexandre Allauzen, Benoît Crabbé, Laurent Besacier, Didier Schwab · 2019
- Judge, Jury & Encryptioner: Exceptional Device Access with a Social Cost
Sacha Servan-Schreiber, Archer Wheeler · 2019
- deepsing: Generating Sentiment-aware Visual Stories using Cross-modal Music Translation
Nikolaos Passalis, Stavros Doropoulos · 2019
- PSR J0030+0451 Mass and Radius from NICER Data and Implications for the Properties of Neutron Star Matter
M. C. Miller, F. K. Lamb, A. J. Dittmann, S. Bogdanov, Z. Arzoumanian, K. C. Gendreau, S. Guillot, A. K. Harding, W. C. G. Ho, J. M. Lattimer, R. M. Ludlam, S. Mahmoodifar, S. M. Morsink, P. S. Ray, T. E. Strohmayer, K. S. Wood, T. Enoto, R. Foster, T. Okajima, G. Prigozhin, Y. Soong · 2019
- The Use of Deep Learning for Symbolic Integration: A Review of (Lample and Charton, 2019)
Ernest Davis · 2019
- Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Robin M. Schmidt · 2019
- Inferring Input Grammars from Dynamic Control Flow
Rahul Gopinath, Björn Mathis, Andreas Zeller · 2019
- Geometric Algebra, Gravity and Gravitational Waves
Anthony N. Lasenby · 2019
- The LUVOIR Mission Concept Study Final Report
The LUVOIR Team · 2019
- The role of Web of Science publications in China's tenure system
Fei Shu, Wei Quan, Bikun Chen, Junping Qiu, Cassidy Sugimoto, Vincent Larivière · 2019
- The Irrationality Measure of Pi is at most 7.103205334137...
Doron Zeilberger, Wadim Zudilin · 2019
- Rethinking Superdeterminism
S. Hossenfelder, T. N. Palmer · 2019
- A Formal Proof of the Irrationality of $ζ(3)$
Assia Mahboubi, Thomas Sibut-Pinote · 2019
- From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui, Antoine Cornuéjols, Thierry Denœux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain · 2019
- Common Voice: A Massively-Multilingual Speech Corpus
Rosana Ardila, Megan Branson, Kelly Davis, Michael Henretty, Michael Kohler, Josh Meyer, Reuben Morais, Lindsay Saunders, Francis M. Tyers, Gregor Weber · 2019
- Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI, :, Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemysław Dębiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Chris Hesse, Rafal Józefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique P. d. O. Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, Susan Zhang · 2019
- ViBE: Dressing for Diverse Body Shapes
Wei-Lin Hsiao, Kristen Grauman · 2019
- Neural Network Surgery with Sets
Jonathan Raiman, Susan Zhang, Christy Dennison · 2019
- The Liar's Walk: Detecting Deception with Gait and Gesture
Tanmay Randhavane, Uttaran Bhattacharya, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha · 2019
- Hyperviscous stochastic Navier-Stokes equations with white noise invariant measure in two dimensions
M. Gubinelli, M. Turra · 2019
- On the Apparent Conflict Between Individual and Group Fairness
Reuben Binns · 2019
- Breaking Speech Recognizers to Imagine Lyrics
Jon Gillick, David Bamman · 2019
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker · 2019
- A flexible FPGA accelerator for convolutional neural networks
Kingshuk Majumder, Shubham Nema, Uday Bondhugula · 2019
- Industrial robot ransomware: Akerbeltz
Víctor Mayoral-Vilches, Lander Usategui San Juan, Unai Ayucar Carbajo, Rubén Campo, Xabier Sáez de Cámara, Oxel Urzelai, Nuria García, Endika Gil-Uriarte · 2019
- Learning high-dimensional probability distributions using tree tensor networks
Erwan Grelier, Anthony Nouy, Régis Lebrun · 2019
- Xor Filters: Faster and Smaller Than Bloom and Cuckoo Filters
Thomas Mueller Graf, Daniel Lemire · 2019
- Deformations of multivalued harmonic functions
Simon Donaldson · 2019
- On the Bias-Variance Tradeoff: Textbooks Need an Update
Brady Neal · 2019
- How India Censors the Web
Kushagra Singh, Gurshabad Grover, Varun Bansal · 2019
- RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
Varun Nair, Javier Fuentes Alonso, Tony Beltramelli · 2019
- Using Cadabra for tensor computations in General Relativity
Leo Brewin · 2019
- Causal Inference and Data Fusion in Econometrics
Paul Hünermund, Elias Bareinboim · 2019
- Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim, Sercan O. Arik, Nicolas Loeff, Tomas Pfister · 2019
- CacheQuery: Learning Replacement Policies from Hardware Caches
Pepe Vila, Pierre Ganty, Marco Guarnieri, Boris Köpf · 2019
- CAT(0) geometry, robots, and society
Federico Ardila · 2019
- Lectures on Quantum Tensor Networks
Jacob Biamonte · 2019
- Are Transformers universal approximators of sequence-to-sequence functions?
Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar · 2019
- The Relativistic Geoid: Gravity Potential and Relativistic Effects
Dennis Philipp, Eva Hackmann, Claus Lämmerzahl, Jürgen Müller · 2019