HackerPapers

All paper pages

28734 retained paper pages. Page 107 of 288.

  1. Recreating the OSIRIS-REx Slingshot Manoeuvre from a Network of Ground-Based Sensors

    Trent Jansen-Sturgeon, Benjamin A. D. Hartig, Gregory J. Madsen, Philip A. Bland, Eleanor K. Sansom, Hadrien A. R. Devillepoix, Robert M. Howie, Martin Cupak, Martin C. Towner, Morgan A. Cox, Nicole D. Nevill, Zacchary N. P. Hoskins, Geoffrey P. Bonning, Josh Calcino, Jake T. Clark, Bryce M. Henson, Andrew Langendam, Samuel J. Matthews, Terence P. McClafferty, Jennifer T. Mitchell, Craig J. O'Neill, Luke T. Smith, Alastair W. Tait · 2019

  2. Boosting Vector Calculus with the Graphical Notation

    Joon-Hwi Kim, Maverick S. H. Oh, Keun-Young Kim · 2019

  3. Minimum Cut in $O(m\log^2 n)$ Time

    Paweł Gawrychowski, Shay Mozes, Oren Weimann · 2019

  4. Spherical Text Embedding

    Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han · 2019

  5. Learning to Fix Build Errors with Graph2Diff Neural Networks

    Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian · 2019

  6. SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Network

    Reza Yazdani, Olatunji Ruwase, Minjia Zhang, Yuxiong He, Jose-Maria Arnau, Antonio Gonzalez · 2019

  7. The frontier of simulation-based inference

    Kyle Cranmer, Johann Brehmer, Gilles Louppe · 2019

  8. On the Measure of Intelligence

    François Chollet · 2019

  9. BlenderProc

    Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam · 2019

  10. Thermodynamic Computing

    Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander Alemi, Lee Altenberg, Gavin Crooks, James Crutchfield, Lidia del Rio, Josh Deutsch, Michael DeWeese, Khari Douglas, Massimiliano Esposito, Michael Frank, Robert Fry, Peter Harsha, Mark Hill, Christopher Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David Wolpert, Joshua Yang, Yan Yufik · 2019

  11. Unsupervised Cross-lingual Representation Learning at Scale

    Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov · 2019

  12. Fast Transformer Decoding: One Write-Head is All You Need

    Noam Shazeer · 2019

  13. SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning

    Christian Mayr, Sebastian Hoeppner, Steve Furber · 2019

  14. OpenML-Python: an extensible Python API for OpenML

    Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter · 2019

  15. Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods

    Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju · 2019

  16. Efficient Computation of Positional Population Counts Using SIMD Instructions

    Marcus D. R. Klarqvist, Wojciech Muła, Daniel Lemire · 2019

  17. Charged dust close to outer mean-motion resonances in the heliosphere

    Christoph Lhotka, Catalin Gales · 2019

  18. S2ORC: The Semantic Scholar Open Research Corpus

    Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Dan S. Weld · 2019

  19. Accurate Vision-based Manipulation through Contact Reasoning

    Alina Kloss, Maria Bauza, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg · 2019

  20. On dynamic succinct graph representations

    Miguel E. Coimbra, Alexandre P. Francisco, Luís M. S. Russo, Guillermo de Bernardo, Susana Ladra, Gonzalo Navarro · 2019

  21. Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization

    Zachary del Rosario, Matthias Rupp, Yoolhee Kim, Erin Antono, Julia Ling · 2019

  22. nanoBench: A Low-Overhead Tool for Running Microbenchmarks on x86 Systems

    Andreas Abel, Jan Reineke · 2019

  23. An analysis of Uniswap markets

    Guillermo Angeris, Hsien-Tang Kao, Rei Chiang, Charlie Noyes, Tarun Chitra · 2019

  24. The TV is Smart and Full of Trackers: Towards Understanding the Smart TV Advertising and Tracking Ecosystem

    Janus Varmarken, Hieu Le, Anastasia Shuba, Zubair Shafiq, Athina Markopoulou · 2019

  25. Fully-dynamic Planarity Testing in Polylogarithmic Time

    Jacob Holm, Eva Rotenberg · 2019

  26. On the Relationship between Self-Attention and Convolutional Layers

    Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi · 2019

  27. Quantum speedups need structure

    Nathan Keller, Ohad Klein · 2019

  28. Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering

    Antoine Bosselut, Ronan Le Bras, Yejin Choi · 2019

  29. Segregated interactions in urban and online space

    Xiaowen Dong, Alfredo J. Morales, Eaman Jahani, Esteban Moro, Bruno Lepri, Burcin Bozkaya, Carlos Sarraute, Yaneer Bar-Yam, Alex Pentland · 2019

  30. Self-training with Noisy Student improves ImageNet classification

    Qizhe Xie, Minh-Thang Luong, Eduard Hovy, Quoc V. Le · 2019

  31. Bunch theory: working notes on applications, axioms and models

    Bill Stoddart, Frank Zeyda, Steve Dunne · 2019

  32. Real-Time Reinforcement Learning

    Simon Ramstedt, Christopher Pal · 2019

  33. MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

    Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos · 2019

  34. A Simple Differentiable Programming Language

    Martin Abadi, Gordon D. Plotkin · 2019

  35. Smart Contract Interactions in Coq

    Jakob Botsch Nielsen, Bas Spitters · 2019

  36. word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement

    Aliakbar Panahi, Seyran Saeedi, Tom Arodz · 2019

  37. The Vanishing & Appearing Sources during a Century of Observations project: I. USNO objects missing in modern sky surveys and follow-up observations of a "missing star"

    Beatriz Villarroel, Johan Soodla, Sébastien Comerón, Lars Mattsson, Kristiaan Pelckmans, Martín López-Corredoira, Kevin Krisciunas, Eduardo Guerras, Oleg Kochukhov, Josefine Bergstedt, Bart Buelens, Rudolf E. Bär, Rubén Cubo, J. Emilio Enriquez, Alok C. Gupta, Iñigo Imaz, Torgny Karlsson, M. Almudena Prieto, Aleksey A. Shlyapnikov, Rafael S. de Souza, Irina B. Vavilova, Martin J. Ward · 2019

  38. Optical Proof of Work

    Michael Dubrovsky, Marshall Ball, Bogdan Penkovsky · 2019

  39. What Do Compressed Deep Neural Networks Forget?

    Sara Hooker, Aaron Courville, Gregory Clark, Yann Dauphin, Andrea Frome · 2019

  40. The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design

    Jeffrey Dean · 2019

  41. Revisiting the Human and Nature Dynamics model

    Basil Grammaticos, Ralph Willox, Junkichi Satsuma · 2019

  42. Quantum Gravity in the Lab: Teleportation by Size and Traversable Wormholes

    Adam R. Brown, Hrant Gharibyan, Stefan Leichenauer, Henry W. Lin, Sepehr Nezami, Grant Salton, Leonard Susskind, Brian Swingle, Michael Walter · 2019

  43. Is there really a Hubble tension?

    Mohamed Rameez, Subir Sarkar · 2019

  44. What is the gradient of a scalar function of a symmetric matrix ?

    Shriram Srinivasan, Nishant Panda · 2019

  45. Position Paper: Towards Transparent Machine Learning

    Dustin Juliano · 2019

  46. Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data

    Qian Lou, Bo Feng, Geoffrey C. Fox, Lei Jiang · 2019

  47. Quantum Computing at the Frontiers of Biological Sciences

    Prashant S. Emani, Jonathan Warrell, Alan Anticevic, Stefan Bekiranov, Michael Gandal, Michael J. McConnell, Guillermo Sapiro, Alán Aspuru-Guzik, Justin Baker, Matteo Bastiani, Patrick McClure, John Murray, Stamatios N Sotiropoulos, Jacob Taylor, Geetha Senthil, Thomas Lehner, Mark B. Gerstein, Aram W. Harrow · 2019

  48. Geometric calculus on pseudo-Riemannian manifolds

    Joseph C. Schindler · 2019

  49. Concept-oriented model: Modeling and processing data using functions

    Alexandr Savinov · 2019

  50. ZKSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices

    Iñigo Querejeta-Azurmendi, Panagiotis Papadopoulos, Matteo Varvello, Antonio Nappa, Jiexin Zhang, Benjamin Livshits · 2019

  51. Building Fast Fuzzers

    Rahul Gopinath, Andreas Zeller · 2019

  52. The geopolitics behind the routes data travels: a case study of Iran

    Loqman Salamatian, Frederick Douzet, Kevin Limonier, Kavé Salamatian · 2019

  53. Emergence of life in an inflationary universe

    Tomonori Totani · 2019

  54. Non-interactive classical verification of quantum computation

    Gorjan Alagic, Andrew M. Childs, Alex B. Grilo, Shih-Han Hung · 2019

  55. MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets

    Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, Dongyoung Kim · 2019

  56. Failure of Normalization in Impredicative Type Theory with Proof-Irrelevant Propositional Equality

    Andreas Abel, Thierry Coquand · 2019

  57. Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

    Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy Lillicrap, David Silver · 2019

  58. Energy Usage Reports: Environmental awareness as part of algorithmic accountability

    Kadan Lottick, Silvia Susai, Sorelle A. Friedler, Jonathan P. Wilson · 2019

  59. Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores

    Fabian Schuiki, Florian Zaruba, Torsten Hoefler, Luca Benini · 2019

  60. End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures

    Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Tatiana Likhomanenko, Edouard Grave, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert · 2019

  61. Robust Deep Neural Networks Inspired by Fuzzy Logic

    Minh Le · 2019

  62. Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems

    Adam Eck, Maulik Shah, Prashant Doshi, Leen-Kiat Soh · 2019

  63. PARAM: A Microprocessor Hardened for Power Side-Channel Attack Resistance

    Muhammad Arsath K F, Vinod Ganesan, Rahul Bodduna, Chester Rebeiro · 2019

  64. Can Magnetic Forces Do Work?

    Jacob A. Barandes · 2019

  65. EfficientDet: Scalable and Efficient Object Detection

    Mingxing Tan, Ruoming Pang, Quoc V. Le · 2019

  66. The Linear Algebra Mapping Problem. Current state of linear algebra languages and libraries

    Christos Psarras, Henrik Barthels, Paolo Bientinesi · 2019

  67. A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network

    Ferenc Beres, Istvan Andras Seres, Andras A. Benczur · 2019

  68. Fast Sparse ConvNets

    Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan · 2019

  69. SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms

    Evgeny Tsykunov, Ruslan Agishev, Roman Ibrahimov, Luiza Labazanova, Taha Moriyama, Hiroyuki Kajimoto, Dzmitry Tsetserukou · 2019

  70. Four presumed gaps in the software engineering research community's knowledge

    Lutz Prechelt · 2019

  71. TreeGen: A Tree-Based Transformer Architecture for Code Generation

    Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang · 2019

  72. Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

    Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong · 2019

  73. Causality for Machine Learning

    Bernhard Schölkopf · 2019

  74. The Batchelor spectrum of passive scalar turbulence in stochastic fluid mechanics at fixed Reynolds number

    Jacob Bedrossian, Alex Blumenthal, Sam Punshon-Smith · 2019

  75. Failure Modes in Machine Learning Systems

    Ram Shankar Siva Kumar, David O Brien, Kendra Albert, Salomé Viljöen, Jeffrey Snover · 2019

  76. Rigging the Lottery: Making All Tickets Winners

    Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen · 2019

  77. LogPlayer: Fault-tolerant Exactly-once Delivery using gRPC Asynchronous Streaming

    Mohammad Roohitavaf, Kun Ren, Gene Zhang, Sami Ben-romdhane · 2019

  78. Summarizing CPU and GPU Design Trends with Product Data

    Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David Kaeli · 2019

  79. Single Headed Attention RNN: Stop Thinking With Your Head

    Stephen Merity · 2019

  80. Starling: A Scalable Query Engine on Cloud Function Services

    Matthew Perron, Raul Castro Fernandez, David DeWitt, Samuel Madden · 2019

  81. On Scaling Data-Driven Loop Invariant Inference

    Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain · 2019

  82. SuperGlue: Learning Feature Matching with Graph Neural Networks

    Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich · 2019

  83. Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

    Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky · 2019

  84. Survey of Attacks and Defenses on Edge-Deployed Neural Networks

    Mihailo Isakov, Vijay Gadepally, Karen M. Gettings, Michel A. Kinsy · 2019

  85. Replica wormholes and the black hole interior

    Geoff Penington, Stephen H. Shenker, Douglas Stanford, Zhenbin Yang · 2019

  86. Inflationary Constant Factors and Why Python is Faster Than C++

    Mehrdad Niknami · 2019

  87. AR-Net: A simple Auto-Regressive Neural Network for time-series

    Oskar Triebe, Nikolay Laptev, Ram Rajagopal · 2019

  88. How Can We Know What Language Models Know?

    Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig · 2019

  89. System Identification for Hybrid Systems using Neural Networks

    Mattias Fält, Pontus Giselsson · 2019

  90. RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data

    Michael Günther, Maik Thiele, Wolfgang Lehner · 2019

  91. LL(1) Parsing with Derivatives and Zippers

    Romain Edelmann, Jad Hamza, Viktor Kunčak · 2019

  92. Increasing Generality in Machine Learning through Procedural Content Generation

    Sebastian Risi, Julian Togelius · 2019

  93. DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing

    Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui · 2019

  94. Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019

    Omer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Ozbayoglu · 2019

  95. What's Hidden in a Randomly Weighted Neural Network?

    Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari · 2019

  96. An Observational Investigation of Reverse Engineers' Processes

    Daniel Votipka, Seth M. Rabin, Kristopher Micinski, Jeffrey S. Foster, Michelle L. Mazurek · 2019

  97. Designing Disorder into Crystalline Materials

    Arkadiy Simonov, Andrew L. Goodwin · 2019

  98. Biological Blueprints for Next Generation AI Systems

    Thomas Dean, Chaofei Fan, Francis E. Lewis, Megumi Sano · 2019

  99. A non-symmetric divide-and-conquer recursive formula for the convolution of polynomials and power series

    Thomas Baruchel · 2019

  100. The intriguing role of module criticality in the generalization of deep networks

    Niladri S. Chatterji, Behnam Neyshabur, Hanie Sedghi · 2019