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