Panel
Featured Papers Panels 2A
Virtual
Moderators: Taylan Cemgil · Wen Sun · Yongqiang Chen
Each panel session is split into four 30-minute blocks composed of a set of lightning talks and a deep dive session related to similar topics. The deep dive will begin immediately after lightning talks and the related Q&A (it might be before the 15 min are over). We will not take any questions via microphone but ask you to use slido (see embedding below or go to https://slido.com and use keyword #neurips22). If you are a presenter or moderator, you should see a zoom link that you can use to join the session for Q&A.
Finally some important don'ts: DO NOT share any zoom or slido information publicly. DO NOT join zoom if you are not presenting or moderating.
Lightning Talks 2A-1
Caio Kalil Lauand · Ryan Strauss · Yasong Feng · lingyu gu · Alireza Fathollah Pour · Oren Mangoubi · Jianhao Ma · Binghui Li · Hassan Ashtiani · Yongqi Du · Salar Fattahi · Sean Meyn · Jikai Jin · Nisheeth Vishnoi · zengfeng Huang · Junier B Oliva · yuan zhang · Han Zhong · Tianyu Wang · John Hopcroft · Di Xie · Shiliang Pu · Liwei Wang · Robert Qiu · Zhenyu Liao
- [ 64853 ] Benefits of Additive Noise in Composing Classes with Bounded Capacity
- [ 64857 ] Posterior Matching for Arbitrary Conditioning
- [ 64858 ] "Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
- [ 64859 ] Lipschitz Bandits with Batched Feedback
- [ 64860 ] Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion
- [ 64861 ] Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
- [ 64862 ] Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
- [ 64863 ] Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution
Q&A on RocketChat immediately following Lightning Talks
Panel 2A-1: Molecule Generation by… & Torsional Diffusion for…
Bowen Jing · Xiangzhe Kong
Lightning Talks 2A-2
Harikrishnan N B · Jianhao Ding · Juha Harviainen · Yizhen Wang · Lue Tao · Oren Mangoubi · Tong Bu · Nisheeth Vishnoi · Mohannad Alhanahnah · Mikko Koivisto · Aditi Kathpalia · Lei Feng · Nithin Nagaraj · Hongxin Wei · Xiaozhu Meng · Petteri Kaski · Zhaofei Yu · Tiejun Huang · Ke Wang · Jinfeng Yi · Jian Liu · Sheng-Jun Huang · Mihai Christodorescu · Songcan Chen · Somesh Jha
- [ 64865 ] Robust Learning against Relational Adversaries
- [ 64867 ] SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
- [ 64869 ] Trustworthy Monte Carlo
- [ 64870 ] Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
- [ 64871 ] Can Adversarial Training Be Manipulated By Non-Robust Features?
- [ 64873 ] Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning
Q&A on RocketChat immediately following Lightning Talks
Panel 2A-2: VaiPhy: a Variational… & Non-identifiability and the…
Oskar Kviman · Eli Weinstein
Lightning Talks 2A-3
David Buterez · Chengan He · Xuan Kan · Yutong Lin · Konstantin Schürholt · Yu Yang · Louis Annabi · Wei Dai · Xiaotian Cheng · Alexandre Pitti · Ze Liu · Jon Paul Janet · Jun Saito · Boris Knyazev · Mathias Quoy · Zheng Zhang · James Zachary · Steven J Kiddle · Xavier Giro-i-Nieto · Chang Liu · Hejie Cui · Zilong Zhang · Hakan Bilen · Damian Borth · Dino Oglic · Holly Rushmeier · Han Hu · Xiangyang Ji · Yi Zhou · Nanning Zheng · Ying Guo · Pietro Liò · Stephen Lin · Carl Yang · Yue Cao
- [ 64897 ] Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
- [ 64899 ] NeMF: Neural Motion Fields for Kinematic Animation
- [ 64901 ] Brain Network Transformer
- [ 64902 ] Distilling Representations from GAN Generator via Squeeze and Span
- [ 64904 ] Graph Neural Networks with Adaptive Readouts
- [ 64906 ] Could Giant Pre-trained Image Models Extract Universal Representations?
- [ 64907 ] On the relationship between variational inference and auto-associative memory
Q&A on RocketChat immediately following Lightning Talks
Panel 2A-3: DPM-Solver: A Fast… & Asymptotic Behaviors of…
Jiadong Liang · Cheng Lu
Lightning Talks 2A-4
Sarthak Mittal · Richard Grumitt · Zuoyu Yan · Lihao Wang · Dongsheng Wang · Alexander Korotin · Jiangxin Sun · Ankit Gupta · Vage Egiazarian · Tengfei Ma · Yi Zhou · Yi.shi Xu · Albert Gu · Biwei Dai · Chunyu Wang · Yoshua Bengio · Uros Seljak · Miaoge Li · Guillaume Lajoie · Yiqun Wang · Liangcai Gao · Lingxiao Li · Jonathan Berant · Huang Hu · Xiaoqing Zheng · Zhibin Duan · Hanjiang Lai · Evgeny Burnaev · Zhi Tang · Zhi Jin · Xuanjing Huang · Chaojie Wang · Yusu Wang · Jian-Fang Hu · Bo Chen · Chao Chen · Hao Zhou · Mingyuan Zhou
- [ 64908 ] Diagonal State Spaces are as Effective as Structured State Spaces
- [ 64911 ] You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection
- [ 64913 ] Wasserstein Iterative Networks for Barycenter Estimation
- [ 64914 ] Neural Approximation of Graph Topological Features
- [ 64915 ] Regularized Molecular Conformation Fields
- [ 64916 ] Is a Modular Architecture Enough?
- [ 64917 ] Knowledge-Aware Bayesian Deep Topic Model
- [ 64918 ] Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Q&A on RocketChat immediately following Lightning Talks
Panel 2A-4: Uncoupled Learning Dynamics… & Finite-Time Last-Iterate Convergence…
Yang Cai · Ioannis Anagnostides