Cristina Piazza

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Safe Exploration in Continuous Action Spaces 2018 Gal Dalal
Krishnamurthy Dvijotham
Matej Vecerík
Todd Hester
Cosmin Păduraru
Yuval Tassa
2
+ PDF Chat A Family of Nonparametric Density Estimation Algorithms 2012 Esteban G. Tabak
Cristina Turner
2
+ Conditional Generative Adversarial Nets 2014 Mehdi Mirza
Simon Osindero
2
+ On Divergences and Informations in Statistics and Information Theory 2006 Friedrich Liese
Igor Vajda
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat Density estimation by dual ascent of the log-likelihood 2010 Esteban G. Tabak
Eric Vanden‐Eijnden
2
+ PDF Chat TossingBot: Learning to Throw Arbitrary Objects With Residual Physics 2020 Andy Zeng
Shuran Song
Johnny Lee
Alberto Rodríguez
Thomas Funkhouser
2
+ PDF Chat A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems 2018 Jaime F. Fisac
Anayo K. Akametalu
Melanie N. Zeilinger
Shahab Kaynama
Jeremy Gillula
Claire J. Tomlin
2
+ PDF Chat Safe Reinforcement Learning via Shielding 2018 Mohammed Alshiekh
Roderick Bloem
Rüdiger Ehlers
Bettina Könighofer
Scott Niekum
Ufuk Topcu
2
+ PDF Chat End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks 2019 Richard Cheng
Gábor Orosz
Richard M. Murray
Joel W. Burdick
2
+ PDF Chat Control Barrier Functions: Theory and Applications 2019 Aaron D. Ames
Samuel Coogan
Magnus Egerstedt
Gennaro Notomista
Koushil Sreenath
Paulo Tabuada
2
+ PDF Chat A Closer Look at Invalid Action Masking in Policy Gradient Algorithms 2022 Sheng‐Yi Huang
Santiago Ontañón
2
+ PDF Chat Safe-visor architecture for sandboxing (AI-based) unverified controllers in stochastic cyber–physical systems 2021 Bingzhuo Zhong
Abolfazl Lavaei
Hongpeng Cao
Majid Zamani
Marco Caccamo
2
+ PDF Chat Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network 2020 Sulabh Kumra
Shirin Joshi
Ferat Sahin
2
+ Sampling-Based Approaches to Calculating Marginal Densities 1990 Alan E. Gelfand
A. F. M. Smith
2
+ Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning 2023 Mirco Theile
Harald Bayerlein
Marco Caccamo
Alberto Sangiovanni‐Vincentelli
2
+ TensorFlow: A system for large-scale machine learning 2016 Martı́n Abadi
Paul Barham
Jianmin Chen
Zhifeng Chen
Andy Davis
Jay B. Dean
Matthieu Devin
Sanjay Ghemawat
Geoffrey Irving
Michael Isard
1
+ PDF Chat PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation 2018 Danfei Xu
Dragomir Anguelov
Ashesh Jain
1
+ PDF Chat Automatic Grasp Pose Generation for Parallel Jaw Grippers 2022 Kilian Kleeberger
Florian Roth
Richard Bormann
Marco F. Huber
1
+ PDF Chat DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion 2019 Chen Wang
Danfei Xu
Yuke Zhu
Roberto Martín-Martín
Cewu Lu
Li Fei-Fei
Silvio Savarese
1
+ PDF Chat FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation 2021 Yisheng He
Haibin Huang
Haoqiang Fan
Qifeng Chen
Jian Sun
1
+ PDF Chat Scaled-YOLOv4: Scaling Cross Stage Partial Network 2021 Chien-Yao Wang
Alexey Bochkovskiy
Hong-Yuan Mark Liao
1
+ PDF Chat PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation 2019 Sida Peng
Yuan Liu
Qixing Huang
Xiaowei Zhou
Hujun Bao
1
+ PDF Chat Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only 2018 Sergey Zakharov
Benjamin Planche
Ziyan Wu
Andreas Hutter
Harald Kosch
Slobodan Ilić
1
+ PDF Chat A Unified Framework for Multi-view Multi-class Object Pose Estimation 2018 Chi Li
Jin Bai
Gregory D. Hager
1
+ PDF Chat SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again 2017 Wadim Kehl
Fabian Manhardt
Federico Tombari
Slobodan Ilić
Nassir Navab
1
+ PDF Chat ACRONYM: A Large-Scale Grasp Dataset Based on Simulation 2021 Clemens Eppner
Arsalan Mousavian
Dieter Fox
1
+ PDF Chat Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization 2021 Frederik Hagelskjar
Anders Glent Buch
1
+ PDF Chat Dynamic Graph CNN for Learning on Point Clouds 2019 Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
Michael M. Bronstein
Justin Solomon
1
+ PDF Chat DPOD: 6D Pose Object Detector and Refiner 2019 Sergey Zakharov
Ivan Shugurov
Slobodan Ilić
1
+ PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation 2019 Yisheng He
Wei Sun
Haibin Huang
Jianran Liu
Haoqiang Fan
Jian Sun
1
+ PDF Chat A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-Based Grasp Data Set 2022 Clemens Eppner
Arsalan Mousavian
Dieter Fox
1
+ On the interchange of derivative and expectation for likelihood ratio derivative estimators 1995 L'EcuyerPierre
1
+ PDF Chat HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects 2019 Roman Kaskman
Sergey Zakharov
Ivan Shugurov
Slobodan Ilić
1
+ PDF Chat Style-transfer GANs for bridging the domain gap in synthetic pose estimator training 2020 Pavel Rojtberg
Thomas Pöllabauer
Arjan Kuijper
1
+ The Expressive Power of a Class of Normalizing Flow Models 2020 Zhifeng Kong
Kamalika Chaudhuri
1
+ PDF Chat G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features 2020 Wei Chen
Xi Jia
Hyung Jin Chang
Jinming Duan
Aleš Leonardis
1
+ Reinforcement Learning for Solving the Vehicle Routing Problem 2018 Mohammadreza Nazari
Afshin Oroojlooy
Lawrence Snyder
Martin Takáč
1
+ PDF Chat Self-supervised 6D Object Pose Estimation for Robot Manipulation 2020 Xinke Deng
Yu Xiang
Arsalan Mousavian
Clemens Eppner
Timothy Bretl
Dieter Fox
1
+ Representational aspects of depth and conditioning in normalizing flows 2020 Frederic Koehler
V. K. Mehta
Andrej Risteski
1
+ Conservative Safety Critics for Exploration 2020 Homanga Bharadhwaj
Aviral Kumar
Nicholas Rhinehart
Sergey Levine
Florian Shkurti
Animesh Garg
1
+ PDF Chat Stiffness of the human foot and evolution of the transverse arch 2020 Madhusudhan Venkadesan
Ali Yawar
Carolyn M. Eng
Marcelo A. Dias
Dhiraj Kumar Singh
Steven M. Tommasini
Andrew Haims
Mahesh Bandi
Shreyas Mandre
1
+ Monte Carlo sampling methods using Markov chains and their applications 1970 W. Keith Hastings
1
+ Note: On the Interchange of Derivative and Expectation for Likelihood Ratio Derivative Estimators 1995 Pierre L’Ecuyer
1
+ Stein Neural Sampler 2018 Tianyang Hu
Zixiang Chen
Hanxi Sun
Jincheng Bai
Mao Ye
Guang Cheng
1
+ f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization 2016 Sebastian Nowozin
Botond Cseke
Ryota Tomioka
1
+ PDF Chat Pyramid Scene Parsing Network 2017 Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
1
+ ZMP Support Areas for Multicontact Mobility Under Frictional Constraints 2016 Stéphane Caron
Quang‐Cuong Pham
Yoshihiko Nakamura
1
+ PDF Chat Domain randomization for transferring deep neural networks from simulation to the real world 2017 Josh Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
1
+ Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 2018 Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
1