hunoutl/paperlists huggingface dataset:
Title: Effective Bayesian Heteroscedastic Regression with Deep Neural Networks
Authors: Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia Vogt
Affiliations: Department of Computer Science, ETH Zurich, Switzerland; Department of Computer Science, ETH Zurich, Switzerland; AI Center, ETH Zurich, Switzerland; Department of Computer Science, ETH Zurich, Switzerland; Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2023 (main track)
Keywords: Heteroscedastic Regression;Marginal Likelihood;Bayesian Neural Networks;Uncertainty Estimaton;Model Selection;Laplace Approximation
Decision: Poster
Title: Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control
Authors: Chao Li, Chen GONG, Qiang He, Xinwen Hou
Affiliations: Ruhr University Bochum, Germany; University of Virginia, USA; Institute of Automation, Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China; Institute of Automation, Chinese Academy of Sciences, China
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Ensemble Exploration;Control Tasks
Decision: Poster
Title: Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
Authors: Jiachen Liang, RuiBing Hou, Hong Chang, Bingpeng MA, Shiguang Shan, Xilin Chen
Affiliations: Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; University of Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: semi-supervised learning;self-supervised learning
Decision: Poster
Title: One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
Authors: Minghua Liu, Chao Xu, Haian Jin, Linghao Chen, Mukund Varma T, Zexiang Xu, Hao Su
Affiliations: UC San Diego; Adobe Research; Cornell University; Zhejiang University; UCLA
Conference: nips 2023 (main track)
Keywords: single image reconstruction;3d generation;mesh reconstruction;diffusion models
Decision: Poster
Title: Image Captioners Are Scalable Vision Learners Too
Authors: Michael Tschannen, Manoj Kumar, Andreas Steiner, Andreas Steiner, Xiaohua Zhai, Neil Houlsby, Lucas Beyer
Affiliations: Google DeepMind
Conference: nips 2023 (main track)
Keywords: contrastive learning;CLIP;CapPa;Cap;vision-language;image captioning;visual representation learning;weakly supervised learning;VLM;multimodal learning;VQA;image classification
Decision: Oral
Title: On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
Authors: RENCHUNZI XIE, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
Affiliations: Department of Statistics and Data Science, Southern University of Science and Technology, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: Machine Learning;Uncertainty Estimation
Decision: Poster
Title: AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
Authors: Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang
Affiliations: Ant Group, Hangzhou, Zhejiang, China; Ant Group, Beijing, China
Conference: nips 2023 (main track)
Keywords: adaptive optimizer;gradient difference;auto switch;AGD
Decision: Poster
Title: Estimating Generic 3D Room Structures from 2D Annotations
Authors: Denys Rozumnyi, Stefan Popov, Kevis-kokitsi Maninis, Matthias Niessner, Vittorio Ferrari
Affiliations: Technical University of Munich; ETH Zurich; Google Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: room layout;3D reconstruction;dataset construction;dataset;optimization
Decision: Poster
Title: Training Energy-Based Normalizing Flow with Score-Matching Objectives
Authors: Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee
Affiliations: Elsa Lab, National Tsing Hua University, Hsinchu City, Taiwan; NVIDIA AI Technology Center, NVIDIA Corporation, Santa Clara, CA, USA; Elsa Lab, National Tsing Hua University, Hsinchu City, Taiwan; Georgia Institute of Technology, Atlanta, GA, USA; Samsung Research America, Mountain View, CA, USA
Conference: nips 2023 (main track)
Keywords: flow-based models;score-matching methods
Decision: Poster
Title: DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
Authors: Xunhan Hu, Jian Zhao, Wengang Zhou, Ruili Feng, Houqiang Li
Affiliations: University of Science and Technology of China; Alibaba Group, University of Science and Technology of China; University of Science and Technology of China, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
Conference: nips 2023 (main track)
Keywords: Experience Replay; Reinforcement Learning; Multi-Agent System
Decision: Poster
Title: YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis
Authors: Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang
Affiliations: National Center for Supercomputing Applications, University of Illinois Urbana-Champaign; Department of Computer Science, University of Illinois Urbana-Champaign; Health Care Engineering Systems Center, University of Illinois Urbana-Champaign; OSF Healthcare Illinois Neurological Institute - Neurology; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign; Department of Computer Science, University of Illinois Urbana-Champaign; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign; National Center for Supercomputing Applications, University of Illinois Urbana-Champaign
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: medical classification;interpretability;multimodality;healthcare
Decision: Poster
Title: Boosting Adversarial Transferability by Achieving Flat Local Maxima
Authors: Zhijin Ge, Hongying Liu, Wang Xiaosen, Fanhua Shang, Yuanyuan Liu
Affiliations: Huawei Singular Security Lab; College of Intelligence and Computing, Tianjin University; School of Artificial Intelligence, Xidian University; Medical College, Tianjin University, China
Conference: nips 2023 (main track)
Keywords: Adversarial attack;Adversarial transferability;Black-box Attack
Decision: Poster
Title: 3D-Aware Visual Question Answering about Parts, Poses and Occlusions
Authors: Xingrui Wang, Wufei Ma, Zhuowan Li, Adam Kortylewski, Alan Yuille
Affiliations: Max Planck Institute for Informatics, University of Freiburg; Johns Hopkins University
Conference: nips 2023 (main track)
Keywords: VQA;reasoning;3D scene understanding;analysis-by-synthesis;neural modular network;neuro-symbolic reasoning
Decision: Poster
Title: Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
Authors: Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik
Affiliations: Bar-Ilan University, Israel; NVIDIA, Israel; Bar-Ilan University, Israel; Allen Institute for AI, Israel; Bar-Ilan University, Israel
Conference: nips 2023 (main track)
Keywords: syntax;diffusion;stable diffusion;attribute;attention
Decision: Oral
Title: When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
Authors: Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon
Affiliations: Mila, Université de Montréal; Princeton University
Conference: nips 2023 (main track)
Keywords: Memory-based RL;Transformers;Credit Assignment;Online RL;Model-free RL
Decision: Oral
Title: Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick
Authors: Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires
Affiliations: KU Leuven; Örebro University
Conference: nips 2023 (main track)
Keywords: gradient estimation;categorical random variables;probability theory;discrete distributions
Decision: Poster
Title: Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Authors: Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky
Affiliations: IBM Research, Weizmann Institute of Science; MIT-IBM Watson AI Lab, Korea University; IBM Research, Technion; IBM Research; Weizmann Institute of Science; MIT-IBM Watson AI Lab; Rice University; Tel-Aviv University; IBM Research, Tel-Aviv University
Conference: nips 2023 (main track)
Keywords: computer vision;deep learning;vision and language models
Decision: Spotlight
Title: A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
Authors: Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon Du
Affiliations: National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Center for Data Science, Peking University; University of Washington; University of California, Berkeley; Zhejiang Lab
Conference: nips 2023 (main track)
Keywords: sequential decision making;delay;reinforcement learning
Decision: Poster
Title: Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
Authors: Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song
Affiliations: Department of Computer Science and Engineering, HKUST; Amazon.com Inc
Conference: nips 2023 (main track)
Keywords: session-based recommendation;representation learning;pattern mining
Decision: Poster
Title: Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
Authors: Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding
Affiliations: Tsinghua-Berkeley Shenzhen Institute; The George Washington University
Conference: nips 2023 (main track)
Keywords: Federated Learning;Optimization;Deep Learning
Decision: Poster
Title: Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning
Authors: Jiahui Li, Kun Kuang, Baoxiang Wang, Xingchen Li, Fei Wu, Jun Xiao, Long Chen
Affiliations: The Chinese University of Hong Kong, Shenzhen; Zhejiang University; HKUST
Conference: nips 2023 (main track)
Keywords: multi-agent reinforcement learning;influence-based exploration
Decision: Poster
Title: A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning
Authors: Ganyu Wang, Bin Gu, Qingsong Zhang, Xiang Li, Boyu Wang, Charles Ling
Affiliations: Jilin University and MBZUAI; Xidian University; Western University
Conference: nips 2023 (main track)
Keywords: Vertical Federated Learning;Zeroth Order Optimization;Communication Efficiency;Privacy
Decision: Poster
Title: To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Authors: Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Zangwei Zheng, Yang You
Affiliations: National University of Singapore; ETH Zurich; University of Edinburgh
Conference: nips 2023 (main track)
Keywords: Large Language Model;Transformer Scaling;Foundation Model Pre-training
Decision: Poster
Title: Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
Authors: Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert Nowak
Affiliations: CS Department, UW-Madison, Wisconsin, Madison; ISyE Department, UW-Madison, Wisconsin, Madison; ECE Department, UW-Madison, Wisconsin, Madison
Conference: nips 2023 (main track)
Keywords: Linear Bandits;Experimental design;Pure Exploration;Representation Learning
Decision: Poster
Title: A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
Authors: Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu
Affiliations: University of Science and Technology of China; University of Science and Technology of China, Noah’s Ark Lab, Huawei; University of Science and Technology of China, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
Conference: nips 2023 (main track)
Keywords: Learning to Optimize;Machine Learning for Combinatorial Optimization;Mixed-Integer Linear Programming;Graph Generation
Decision: Spotlight
Title: Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
Authors: Metod Jazbec, James Allingham, Dan Zhang, Eric Nalisnick
Affiliations: University of Cambridge; Bosch Center for AI & University of Tübingen; UvA-Bosch Delta Lab, University of Amsterdam
Conference: nips 2023 (main track)
Keywords: anytime algorithms;early-exit neural networks;conditional monotonicity;anytime uncertainty
Decision: Poster
Title: Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width
Authors: Dayal Singh Kalra, Maissam Barkeshli
Affiliations: Condensed Matter Theory Center, University of Maryland, College Park; Institute for Physical Science and Technology, University of Maryland, College Park; Department of Physics, University of Maryland, College Park; Joint Quantum Institute, University of Maryland, College Park
Conference: nips 2023 (main track)
Keywords: Optimization dynamics;Phase diagrams;learning rate transition;Catapult effect
Decision: Poster
Title: Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
Authors: Jacy Anthis, Victor Veitch
Affiliations: University of Chicago; University of Chicago, University of California, Berkeley, Sentience Institute
Conference: nips 2023 (main track)
Keywords: causal graphs;causality;counterfactual fairness;domain generalization;fairness;robustness;machine learning;artificial intelligence
Decision: Poster
Title: Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
Authors: Xiaoyu Tian, Tao Jiang, Longfei Yun, Yucheng Mao, Huitong Yang, Yue Wang, Yilun Wang, Hang Zhao
Affiliations: IIIS, Tsinghua University; IIIS, Tsinghua University; Shanghai AI Lab; Shanghai Qi Zhi Institute; University of Southern California; Shanghai Qi Zhi Institute
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: 3D occupancy prediction; 3D auto-labeling
Decision: Poster
Title: Neural Lyapunov Control for Discrete-Time Systems
Authors: Junlin Wu, Andrew Clark, Yiannis Kantaros, Yevgeniy Vorobeychik
Affiliations: Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130; Computer Science & Engineering, Washington University in St. Louis, St. Louis, MO 63130
Conference: nips 2023 (main track)
Keywords: nonlinear systems;Lyapunov stability;neural Lyapunov control
Decision: Poster
Title: What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
Authors: Benedikt Blumenstiel, Johannes Jakubik, Hilde Kuehne, Michael Vössing
Affiliations: Karlsruhe Institute of Technology, IBM Research Europe; Karlsruhe Institute of Technology, IBM Germany; University of Bonn, MIT-IBM Watson AI Lab
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Zero-shot semantic segmentation;multi-domain benchmark;open-vocabulary semantic-segmentation
Decision: Poster
Title: FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Authors: Dipam Goswami, Yuyang Liu, Bartłomiej Twardowski, Joost van de Weijer
Affiliations: Department of Computer Science, Universitat Autònoma de Barcelona; Computer Vision Center, Barcelona; IDEAS-NCBR; Department of Computer Science, Universitat Autònoma de Barcelona; Computer Vision Center, Barcelona; University of Chinese Academy of Sciences; State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Continual Learning;Class-Incremental Learning
Decision: Poster
Title: Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models
Authors: Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu
Affiliations: Georgia Institute of Technology, Atlanta, GA, 30332 USA
Conference: nips 2023 (main track)
Keywords: Neural distribution alignment;Diffusion model;Neuroscience;Neural decoding
Decision: Spotlight
Title: StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Authors: Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
Affiliations: University of Copenhagen; Google DeepMind; Google Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: generative ai;video generation;text-to-video;benchmark;story visualization;multimodal
Decision: Poster
Title: ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
Authors: Pascal Notin, Ruben Weitzman, Debora Marks, Yarin Gal
Affiliations: Harvard Medical School, Broad Institute; Computer Science, University of Oxford
Conference: nips 2023 (main track)
Keywords: Non-Parametric Transformers;protein design;protein property prediction;fitness prediction;Bayesian optimization;ProteinGym
Decision: Poster
Title: Model-Free Reinforcement Learning with the Decision-Estimation Coefficient
Authors: Dylan J Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari
Affiliations: Massachusetts Institute of Technology (MIT); Microsoft
Conference: nips 2023 (main track)
Keywords: Decision making;learning theory;bandits;reinforcement learning theory;online learning;decision-estimation coefficient
Decision: Poster
Title: Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Authors: Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Affiliations: LMU Munich & Munich Center for Machine Learning (MCML), Munich, Germany
Conference: nips 2023 (main track)
Keywords: causal inference;counterfactual inference;partial identification;sensitivity model;normalizing flows;causal machine learning
Decision: Spotlight
Title: Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
Authors: Yongrui Chen, Shenyu Zhang, Guilin Qi, Xinnan Guo
Affiliations: School of Computer Science and Engineering, Southeast University, Nanjing 211189, China; Key Laboratory of New Generation Artificial Intelligence Technology and its Interdisciplinary Applications (Southeast University), Ministry of Education, China
Conference: nips 2023 (main track)
Keywords: semantic parsing;continual learning;few-shot learning
Decision: Poster
Title: Counterfactually Comparing Abstaining Classifiers
Authors: Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas
Affiliations: Dept. of Statistics and Data Science, Machine Learning Department, Carnegie Mellon University; Data Science Institute, University of Chicago; Department of EECS, University of Michigan
Conference: nips 2023 (main track)
Keywords: abstaining classifiers;black-box model evaluation;causal inference;missing data
Decision: Poster
Title: Recurrent Temporal Revision Graph Networks
Authors: Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou
Affiliations: Shopee Pte Ltd., Singapore; SCSE, Nanyang Technological University, Singapore; Shanghai University of Finance and Economics, China
Conference: nips 2023 (main track)
Keywords: temporal graph;temporal graph network;temporal graph model expressiveness;continuous-time dynamic graph
Decision: Poster
Title: Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Authors: Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim
Affiliations: Massachusetts Institute of Technology; Google DeepMind; Google Research
Conference: nips 2023 (main track)
Keywords: semantic parsing;large language models;PDDL;AI planning;molecule generation;data efficiency;grammar-based learning
Decision: Poster
Title: Online Nonstochastic Model-Free Reinforcement Learning
Authors: Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan
Affiliations: Carnegie Mellon University; Amazon; Princeton University & Google DeepMind
Conference: nips 2023 (main track)
Keywords: Control;Reinforcement Learning;Online Learning;Regret Minimization;Bandit Linear Control
Decision: Poster
Title: Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems
Authors: Junyi Li, Feihu Huang, Heng Huang
Affiliations: Computer Science, University of Maryland, College Park, MD 20742; ECE, University of Pittsburgh, Pittsburgh, PA 15261
Conference: nips 2023 (main track)
Keywords: Federated Learning;Bilevel Optimization
Decision: Poster
Title: Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization
Authors: Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose Blanchet, Jiajin Li
Affiliations: Stanford University; CUHK
Conference: nips 2023 (main track)
Keywords: Nonconvex-Nonconcave Minimax Optimization;Limit Cycle
Decision: Poster
Title: An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
Authors: Yudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan
Affiliations: The Chinese University of Hong Kong, Shenzhen; University of Oxford; University of Waterloo, Vector Institute
Conference: nips 2023 (main track)
Keywords: risk-averse RL;mean-variance RL
Decision: Poster
Title: CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches
Authors: Phoenix Williams, Ke Li
Affiliations: Department of Computer Science, University of Exeter, Exeter, EX4 4RN
Conference: nips 2023 (main track)
Keywords: Evolutionary Strategy;Adversarial Attack;Adversarial Patches;Computational Art;Computer Vision
Decision: Poster
Title: Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk
Authors: Oren Mangoubi, Nisheeth K. Vishnoi
Affiliations: Worcester Polytechnic Institute; Yale University
Conference: nips 2023 (main track)
Keywords: Logconcave sampling;Dikin walk;Markov chain Monte Carlo;interior point methods
Decision: Poster
Title: Subspace Identification for Multi-Source Domain Adaptation
Authors: Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
Affiliations: School of Computer Science, Guangdong University of Technology; Shantou University; Carnegie Mellon University; Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: Domain Adaptation;Identification
Decision: Spotlight
Title: TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials
Authors: Guillem Simeon, Gianni De Fabritiis
Affiliations: Computational Science Laboratory, Icrea, Universitat Pompeu Fabra, Acellera; Computational Science Laboratory, Universitat Pompeu Fabra
Conference: nips 2023 (main track)
Keywords: Neural network interatomic potentials;Equivariant graph neural network;Message passing neural network
Decision: Poster
Title: HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
Authors: Bipasha Sen, Gaurav Singh, Aditya Agarwal, Rohith Agaram, Madhava Krishna, Srinath Sridhar
Affiliations: MIT CSAIL; Brown University; IIIT, Hyderabad
Conference: nips 2023 (main track)
Keywords: neural radiance field;hypernetwork;multi-hash encoding;NeRF
Decision: Poster
Title: Score-based Source Separation with Applications to Digital Communication Signals
Authors: Tejas Jayashankar, Gary C.F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy, Gregory Wornell
Affiliations: Massachusetts Institute of Technology; Massachusetts Institute of Technology, Universidad Carlos III de Madrid
Conference: nips 2023 (main track)
Keywords: Diffusion models;score-based models;source separation;digital communications;maximum a posteriori (MAP) estimation;alpha-posterior;Gaussian smoothing;score distillation sampling;radio frequency systems;interference mitigation
Decision: Poster