hunoutl/paperlists huggingface dataset:
Title: CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
Authors: Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
Affiliations: CSIRO’s Data61, Australia; University of Technology Sydney; University of Washington, Seattle
Conference: nips 2021 (main track)
Keywords: Planning;Learning to Plan;Reinforcement Learning;Mutual Boosting;Collaborative Learning;Curriculum Learning;Sub-Tasking
Decision: Poster
Title: Combinatorial Pure Exploration with Bottleneck Reward Function
Authors: Yihan Du, Yuko Kuroki, Wei Chen
Affiliations: IIIS, Tsinghua University, Beijing, China; The University of Tokyo / RIKEN, Tokyo, Japan; Microsoft Research, Beijing, China
Conference: nips 2021 (main track)
Keywords: combinatorial pure exploration;bottleneck reward function;combinatorial bandits
Decision: Poster
Title: Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Authors: Scott Sussex, Caroline Uhler, Andreas Krause
Affiliations: Department of Computer Science, ETH Zürich, Zürich, Switzerland; Laboratory for Information & Decision Systems, Massachusetts Institute of Technology, Cambridge, MA
Conference: nips 2021 (main track)
Keywords: experimental design;submodularity;causal inference;causal structure learning
Decision: Poster
Title: Adaptive wavelet distillation from neural networks through interpretations
Authors: Wooseok Ha, Chandan Singh, Francois Lanusse, Srigokul Upadhyayula, Bin Yu
Affiliations: Statistics Department, UC Berkeley; EECS Department, UC Berkeley; AIM, CEA, CNRS; Université Paris-Saclay, Université Paris Diderot, Sorbonne Paris Cité; Statistics Department, UC Berkeley; EECS Department, UC Berkeley; Advanced Bioimaging Center, Department of Molecular & Cell Biology, UC Berkeley
Conference: nips 2021 (main track)
Keywords: Interpretability;Distillation;Wavelet;Cosmology;Cell biology
Decision: Poster
Title: Effective Meta-Regularization by Kernelized Proximal Regularization
Authors: Weisen Jiang, James Kwok, Yu Zhang
Affiliations: Peng Cheng Laboratory; Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Department of Computer Science and Engineering, Southern University of Science and Technology
Conference: nips 2021 (main track)
Keywords: meta-learning
Decision: Poster
Title: Noisy Recurrent Neural Networks
Authors: Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael Mahoney
Affiliations: University of Pittsburgh, School of Engineering; Nordita, KTH Royal Institute of Technology and Stockholm University; ICSI and Department of Statistics, UC Berkeley
Conference: nips 2021 (main track)
Keywords: Recurrent neural networks;implicit regularization;stochastic differential equations;stability analysis;model robustness
Decision: Poster
Title: Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Authors: Mandela Patrick, Dylan Campbell, Yuki Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João Henriques
Affiliations: Facebook AI; University of Oxford
Conference: nips 2021 (main track)
Keywords: xformers;video action recognition;transformers;attention;efficient attention
Decision: Oral
Title: Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
Authors: Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo
Affiliations: University of Southern California
Conference: nips 2021 (main track)
Keywords: reinforcement learning;stochastic shortest path;regret minimization
Decision: Poster
Title: Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
Authors: Joy Hsu, Jeffrey Gu, Gong Wu, Wah Chiu, Serena Yeung
Affiliations: ICME, Stanford University; Department of Computer Science, Stanford University; Department of Bioengineering, Stanford University; Department of Biomedical Data Science, Stanford University
Conference: nips 2021 (main track)
Keywords: hyperbolic;hierarchy;representation learning;unsupervised segmentation;computer vision;biomedical
Decision: Poster
Title: Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
Authors: Jingjing Li, Wei Ji, Qi Bi, Cheng Yan, Miao Zhang, Yongri Piao, Huchuan Lu, Li cheng
Affiliations: Dalian University of Technology, China; Wuhan University, China; University of Alberta, Canada; Tianjin University, China
Conference: nips 2021 (main track)
Keywords: Salient Object Detection;Saliency Detection;Weakly Supervised RGB-D Salient Object Detection
Decision: Poster
Title: Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
Authors: Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng wang, Xu Sun
Affiliations: Paul G. Allen School of Computer Science and Engineering, University of Washington; MOE Key Laboratory of Computational Linguistics, School of EECS, Peking University; Department of Electrical Engineering, Yale University; MOE Key Laboratory of Computational Linguistics, School of EECS, Peking University; School of ECE, Peking University; Tencent
Conference: nips 2021 (main track)
Keywords: Medical Report Generation;Unpaired Data;Unsupervised Learning;Knowledge Graph
Decision: Poster
Title: Online Learning Of Neural Computations From Sparse Temporal Feedback
Authors: Lukas Braun, Tim Vogels
Affiliations: Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom; Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany; Institute of Science and Technology Austria, Klosterneuburg, Austria
Conference: nips 2021 (main track)
Keywords: spiking neural networks;event-dependent scaling;intrinsic parameters;online learning;teacher-student paradigm;surrogate gradient
Decision: Poster
Title: Interpolation can hurt robust generalization even when there is no noise
Authors: Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang
Affiliations: Rice University, Technical University of Munich; ETH Zurich
Conference: nips 2021 (main track)
Keywords: regularization;high dimensional statistics;learning theory;robustness
Decision: Poster
Title: The Difficulty of Passive Learning in Deep Reinforcement Learning
Authors: Georg Ostrovski, Pablo Samuel Castro, Will Dabney
Affiliations: Google Research, Brain Team; DeepMind
Conference: nips 2021 (main track)
Keywords: deep reinforcement learning;deep RL;offline reinforcement learning;offline RL;DQN;reinforcement learning;off-policy;policy improvement;policy optimization;distributional shift;empirical analysis;empirical method
Decision: Poster
Title: Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Authors: Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
Affiliations: Microsoft Research Asia; East China Normal University; The Hong Kong University of Science and Technology; Fudan University
Conference: nips 2021 (main track)
Keywords: Graph neural networks;Interpretability;Reinforcement Learning
Decision: Poster
Title: You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Authors: Yuxin Fang, Bencheng Liao, Xinggang Wang, Jiemin Fang, Jiyang Qi, Rui Wu, Jianwei Niu, Wenyu Liu
Affiliations: Horizon Robotics; Institute of AI, Huazhong University of Science & Technology; School of EIC, Huazhong University of Science & Technology
Conference: nips 2021 (main track)
Keywords: Computer Vision;Transfer Learning;Object Detection;Transformer;Vision Transformer;Natural Language Processing
Decision: Poster
Title: Graph Adversarial Self-Supervised Learning
Authors: Longqi Yang, Liangliang Zhang, Wenjing Yang
Affiliations: Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China; Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China; Defense Innovation Institute, Beijing 100071, China; Institute of Systems Engineering, AMS, Beijing, China
Conference: nips 2021 (main track)
Keywords: graph representation learning;adversarial training;self-supervised learning
Decision: Poster
Title: Representing Long-Range Context for Graph Neural Networks with Global Attention
Authors: Zhanghao Wu, Paras Jain, Matthew Wright, Azalia Mirhoseini, Joseph Gonzalez, Ion Stoica
Affiliations: Google Brain; UC Berkeley
Conference: nips 2021 (main track)
Keywords: graph neural networks;transformers;long-range context;OpenGraphBenchmark
Decision: Poster
Title: An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Authors: Lu Yu, Krishnakumar Balasubramanian, Stanislav Volgushev, Murat Erdogdu
Affiliations: University of Toronto; University of Toronto & Vector Institute; University of California, Davis
Conference: nips 2021 (main track)
Keywords: Constant Step Size SGD;Non-convex optimization;Polyak-Ruppert averaging;CLT
Decision: Poster
Title: Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Authors: Yin Tat Lee, Ruoqi Shen, Kevin Tian
Affiliations: University of Washington and Microsoft Research; University of Washington; Stanford University
Conference: nips 2021 (main track)
Keywords: sampling;computational statistics;Bayesian methods;Langevin dynamics;Hamiltonian Monte Carlo
Decision: Oral
Title: Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
Authors: Jiani Huang, Ziyang Li, Binghong Chen, Karan Samel, Mayur Naik, Le Song, Xujie Si
Affiliations: McGill University and CIFAR AI Chair, Mila; Georgia Institute of Technology; University of Pennsylvania
Conference: nips 2021 (main track)
Keywords: probabilistic database;logic reasoning;neural symbolic
Decision: Poster
Title: Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
Authors: Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu
Affiliations: Department of Computer Science, UT Austin; Dept. of Comp. Sci. and Tech., BNRist Center, State Key Lab for Intell. Tech. & Sys., Institute for AI, Tsinghua-Bosch Joint Center for ML, Tsinghua University
Conference: nips 2021 (main track)
Keywords: probabilistic methods;causal inference;uncertainty quantification;instrumental variable;approximate inference
Decision: Poster
Title: Decentralized Q-learning in Zero-sum Markov Games
Authors: Muhammed Sayin, Kaiqing Zhang, David Leslie, Tamer Basar, Asuman Ozdaglar
Affiliations: Bilkent University; UIUC; MIT; Lancaster University
Conference: nips 2021 (main track)
Keywords: multi-agent reinforcement learning;decentralized learning;Markov games;two-timescale stochastic approximation
Decision: Poster
Title: Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights
Authors: Dong Quan Vu, Kimon Antonakopoulos, Panayotis Mertikopoulos
Affiliations: Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG 38000, Grenoble, France, Criteo AI Lab; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG 38000, Grenoble, France
Conference: nips 2021 (main track)
Keywords: game theory;adaptive algorithms;routing
Decision: Poster
Title: SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Authors: Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin
Affiliations: Department of Artiﬁcial Intelligence, Inha University; Vector Institute for Artiﬁcial Intelligence; Kim Jaechul Graduate School of AI, KAIST; School of Electrical Engineering, KAIST; Kakao Enterprise
Conference: nips 2021 (main track)
Keywords: randomized smoothing;mixup;adversarial robustness;certified defense;adversarial defense;confidence calibration
Decision: Poster
Title: CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
Affiliations: Karolinska Institutet, Stockholm, Sweden; Saint Göran Hospital, Stockholm, Sweden; Karolinska University Hospital, Stockholm, Sweden; KTH Royal Institute of Technology, Stockholm, Sweden
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Mammography dataset;ordinal classification;breast cancer
Decision: Poster
Title: Large-Scale Wasserstein Gradient Flows
Authors: Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev
Affiliations: Skolkovo Institute of Science and Technology, Moscow Institute of Physics and Technology, Moscow, Russia; Skolkovo Institute of Science and Technology, Artificial Intelligence Research Institute, Moscow, Russia; Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Conference: nips 2021 (main track)
Keywords: wasserstein-2 gradient flows;JKO stepping;optimal transport;input-convex neural networks;diffusion processes
Decision: Poster
Title: Exploiting a Zoo of Checkpoints for Unseen Tasks
Authors: Jiaji Huang, Qiang Qiu, Kenneth Church
Affiliations: Baidu Research, Sunnyvale, CA, 94089; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907
Conference: nips 2021 (main track)
Keywords: task space;generalization;Gaussian process;meta learning
Decision: Poster
Title: Meta-Adaptive Nonlinear Control: Theory and Algorithms
Authors: Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue
Affiliations: Purdue University; Caltech
Conference: nips 2021 (main track)
Keywords: Online Learning;Representation Learning;Adaptive Control;Nonlinear Control;Meta-learning
Decision: Poster
Title: Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
Authors: Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou
Affiliations: 4Paradigm Inc., Beijing 100000, China; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2021 (main track)
Keywords: Online Convex Optimization;Adaptive Regret;Convex Functions;Strongly Convex Functions;Exponentially Concave Functions
Decision: Poster
Title: Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
Authors: Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen J Roberts
Affiliations: University of Oxford; Amazon, Australia
Conference: nips 2021 (main track)
Keywords: AutoRL;Reinforcement Learning;Population Based Training;Bayesian Optimization;Generalization
Decision: Poster
Title: On the Equivalence between Neural Network and Support Vector Machine
Authors: Yilan Chen, Wei Huang, Lam Nguyen, Tsui-Wei Weng
Affiliations: IBM Research, Thomas J. Watson Research Center, Yorktown Heights, NY; Halıcıo ˘glu Data Science Institute, University of California San Diego, La Jolla, CA; Computer Science and Engineering, University of California San Diego, La Jolla, CA; Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia
Conference: nips 2021 (main track)
Keywords: deep learning theory;support vector machine;neural tangent kernel;kernel machines;robustness;regularization;generalization
Decision: Poster
Title: On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons
Authors: Vishnu Veerathu, Arun Rajkumar
Affiliations: Cohesity Inc.; Indian Institute of Technology, Madras, Robert Bosch Center for Data Science and AI
Conference: nips 2021 (main track)
Keywords: ranking;pairwise;intransitive;low-rank
Decision: Poster
Title: Machine learning structure preserving brackets for forecasting irreversible processes
Authors: Kookjin Lee, Nathaniel Trask, Panos Stinis
Affiliations: Paciﬁc Northwest National Laboratory, Richland, WA 99354; School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281; Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87123
Conference: nips 2021 (main track)
Keywords: structure preserving machine learning;neural odes;forecasting;dissipative systems
Decision: Poster
Title: A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Authors: Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
Affiliations: Ant Group; Department of CSE and MoE Key Lab of AI, Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: Combinatorial Optimization;Reinforcement Learning;Graph Neural Network;Bi-level Optimization
Decision: Poster
Title: Structural Credit Assignment in Neural Networks using Reinforcement Learning
Authors: Dhawal Gupta, Gabor Mihucz, Matthew Schlegel, James Kostas, Philip Thomas, Martha White
Affiliations: Department of Computing Science, CIFAR AI Chair, Amii, University of Alberta; Department of Computing Science, Alberta Machine Intelligence Institute (Amii), University of Alberta; College of Information and Computer Sciences, University of Massachusetts
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Neural Networks;Structural Credit Assignment
Decision: Poster
Title: Estimating the Long-Term Effects of Novel Treatments
Authors: Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis
Affiliations: Microsoft Research
Conference: nips 2021 (main track)
Keywords: long-term effects;dynamic treatment effects;surrogates;high-dimensional;double machine learning
Decision: Poster
Title: Hessian Eigenspectra of More Realistic Nonlinear Models
Authors: Zhenyu Liao, Michael Mahoney
Affiliations: ICSI and Department of Statistics, University of California, Berkeley, USA; School of Electronic Information and Communications, Huazhong University of Science and Technology, China
Conference: nips 2021 (main track)
Keywords: Generalized Linear Model;Hessian;Spectral Analysis;Random Matrix Theory.
Decision: Oral
Title: Locally differentially private estimation of functionals of discrete distributions
Authors: Cristina Butucea, Yann ISSARTEL
Affiliations: CREST, ENSAE, IP Paris, Palaiseau 91120 Cedex, France
Conference: nips 2021 (main track)
Keywords: high-dimensional statistics;local differential privacy;power sum functional;minimax estimation;interactive privacy mechanism;non-interactive privacy mechanism;plug-in estimator;threshold estimation
Decision: Poster
Title: Intriguing Properties of Vision Transformers
Authors: Muhammad Muzammal Naseer, Kanchana Ranasinghe, Salman H Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang
Affiliations: Australian National University; University of California, Merced; Monash University; Linköping University; Stony Brook University
Conference: nips 2021 (main track)
Keywords: Vision Transformers;Auto-segmentation;Off-the-shelf-features;Robustness;Shape-Modeling
Decision: Spotlight
Title: Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Authors: Yulun Zhang, Huan Wang, Can Qin, Yun Fu
Affiliations: Khoury College of Computer Science, Northeastern University; Department of ECE, Northeastern University
Conference: nips 2021 (main track)
Keywords: Neural Network Pruning;Lightweight Image Super-Resolution;Aligned Structured Sparsity Learning
Decision: Spotlight
Title: Understanding the Effect of Stochasticity in Policy Optimization
Authors: Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvari, Dale Schuurmans
Affiliations: University of Alberta, Google Research, Brain Team; Google Research, Brain Team, University of Alberta; Google Research, Brain Team; DeepMind, University of Alberta
Conference: nips 2021 (main track)
Keywords: reinforcement learning;policy optimization;policy gradient;global convergence
Decision: Poster
Title: Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
Authors: Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
Affiliations: DeepMind, London, United Kingdom
Conference: nips 2021 (main track)
Keywords: Verification;Safety;Optimization
Decision: Spotlight
Title: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
Authors: Hayeon Lee, Sewoong Lee, Song Chong, Sung Ju Hwang
Affiliations: KAIST1, AITRICS2, Seoul, South Korea; KAIST1, Seoul, South Korea
Conference: nips 2021 (main track)
Keywords: neural architecture search;meta-learning
Decision: Spotlight
Title: Learning Semantic Representations to Verify Hardware Designs
Authors: Shobha Vasudevan, Wenjie (Joe) Jiang, David Bieber, Rishabh Singh, hamid shojaei, C. Richard Ho, Charles Sutton
Affiliations: Google X; Google; Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: Hardware Design;Verification;Graph Convolutional Networks;Test generation
Decision: Poster
Title: Adversarial Regression with Doubly Non-negative Weighting Matrices
Authors: Tam Le, Truyen Nguyen, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen
Affiliations: RIKEN AIP; Kyoto University and RIKEN AIP; University of Akron; Stanford University and VinAI Research; Stanford University
Conference: nips 2021 (main track)
Keywords: adversarial regression;kernel weighted regression;covariate perturbation;distributional robust;doubly non-negative matrices;Bures-Wasserstein;Log-determinant divergence;low-sample-size problem
Decision: Poster
Title: Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Authors: Kimia Nadjahi, Alain Durmus, Pierre E Jacob, Roland Badeau, Umut Simsekli
Affiliations: INRIA - Département d’Informatique de l’École Normale Supérieure, PSL Research University, Paris, France; Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, F-91190 Gif-sur-Yvette, France; LTCI, Télécom Paris, Institut Polytechnique de Paris, France; Department of Information Systems, Decision Sciences and Statistics, ESSEC Business School, Cergy, France
Conference: nips 2021 (main track)
Keywords: optimal transport;central limit theorem;random projections;high-dimensional data;generative modeling
Decision: Poster
Title: Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
Authors: Jimmy Smith, Scott Linderman, David Sussillo
Affiliations: Department of Statistics, Stanford University, Stanford, CA 94305; Department of Electrical Engineering, Stanford University, Stanford, CA 94305; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305
Conference: nips 2021 (main track)
Keywords: recurrent neural networks;RNNs;switching linear dynamical systems;SLDS;interpretability;dynamical systems;reverse engineering;fixed points
Decision: Poster
Title: Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Authors: Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael Zhang, Jimmy Ba
Affiliations: University of Toronto & Vector Institute; IIIS, Tsinghua University; Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: goal-conditioned reinforcement learning;learning invariants;representation learning;domain generalization;block mdp;deep reinforcement learning
Decision: Poster
Title: Deformable Butterfly: A Highly Structured and Sparse Linear Transform
Authors: Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong
Affiliations: United Microelectronics Centre (Hong Kong) Limited, Hong Kong Science Park, N.T., Hong Kong; Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong
Conference: nips 2021 (main track)
Keywords: Deformable Butterfly;Linear transform;Model compression
Decision: Poster
Title: Three-dimensional spike localization and improved motion correction for Neuropixels recordings
Authors: Julien Boussard, Erdem Varol, Hyun Dong Lee, Nishchal Dethe, Liam Paninski
Affiliations: Department of Statistics and Neuroscience, Center for Theoretical Neuroscience, Grossman Center for the Statistics of Mind, Zuckerman Institute, Columbia University
Conference: nips 2021 (main track)
Keywords: Spike-sorting;Neuropixels;Localization;Registration
Decision: Poster