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Tech.AI – in NeurIPS 2024

Here are 31 articles from Tech.AI PIs that will be presented at NeurIPS 2024 in Vancouver, Canada:

• Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering
  Authors: Ido Sobol, Chenfeng Xu, Or Litany

NeurIPS Poster Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering

• A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
  Authors: Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron

NeurIPS Poster A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening

• GRANOLA: Adaptive Normalization for Graph Neural Networks
  Authors: Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron

NeurIPS Poster GRANOLA: Adaptive Normalization for Graph Neural Networks

• Fast Encoder-Based 3D from Casual Videos via Point Track Processing
  Authors: Yoni Kasten, Wuyue Lu, Haggai Maron

NeurIPS Poster Fast Encoder-Based 3D from Casual Videos via Point Track Processing

• The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
  Authors: Derek Lim, Theo Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka

NeurIPS Poster The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof

• Image-aware Evaluation of Generated Medical Reports
  Authors: Gefen Dawidowicz, Elad Hirsch, Ayellet Tal

NeurIPS Poster Image-aware Evaluation of Generated Medical Reports

• Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
  Authors: Mitchell Keren Taraday, Almog David, Chaim Baskin

NeurIPS Poster Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks

• Provable Tempered Overfitting of Minimal Nets and Typical Nets
  Authors: Itamar Harel, William Hoza, Gal Vardi, Itay Evron, Nati Srebro, Daniel Soudry

NeurIPS Poster Provable Tempered Overfitting of Minimal Nets and Typical Nets

• The Implicit Bias of Gradient Descent on Separable Multiclass Data
  Authors: Hrithik Ravi, Clay Scott, Daniel Soudry, Yutong Wang

NeurIPS Poster The Implicit Bias of Gradient Descent on Separable Multiclass Data

• Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
  Authors: Dan Qiao, Kaiqi Zhang, Esha Singh, Daniel Soudry, Yu-Xiang Wang

NeurIPS Poster Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes

• Exponential Quantum Communication Advantage in Distributed Inference and Learning
  Authors: Dar Gilboa, Hagay Michaeli, Daniel Soudry, Jarrod McClean

NeurIPS Poster Exponential Quantum Communication Advantage in Distributed Inference and Learning

• Unsupervised Discovery of Formulas for Mathematical Constants
  Authors: Michael Shalyt, Uri Seligmann, Itay Beit Halachmi, Ofir David, Rotem Elimelech, Ido Kaminer

NeurIPS Poster Unsupervised Discovery of Formulas for Mathematical Constants

• Incentivizing Quality Text Generation via Statistical Contracts
  Authors: Eden Saig, Ohad Einav, Inbal Talgam-Cohen

NeurIPS Poster Incentivizing Quality Text Generation via Statistical Contracts

• MAC Advice for Facility Location Mechanism Design
  Authors: Zohar Barak, Anupam Gupta, Inbal Talgam-Cohen

NeurIPS Poster MAC Advice for facility location mechanism design

• Contracting with a Learning Agent
  Authors: Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua Wang, S. Weinberg

NeurIPS Poster Contracting with a Learning Agent

• Enhancing Consistency-Based Image Generation via Adversarially-Trained Classification and Energy-Based Discrimination
  Authors: Shelly Golan, Roy Ganz, Michael Elad

NeurIPS Poster Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination

• Wormhole Loss for Partial Shape Matching
  Authors: Amit Bracha, Thomas Dagès, Ron Kimmel

NeurIPS Poster Wormhole Loss for Partial Shape Matching

• Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
  Authors: Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie

NeurIPS Poster Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters

• Universal Rates for Active Learning
  Authors: Steve Hanneke, Amin Karbasi, Shay Moran, Grigoris Velegkas

NeurIPS Poster Universal Rates for Active Learning

• Learning-Augmented Algorithms with Explicit Predictors
  Authors: Marek Elias, Haim Kaplan, Yishay Mansour, Shay Moran

NeurIPS Poster Learning-Augmented Algorithms with Explicit Predictors

• Credit Attribution and Stable Compression
  Authors: Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju

NeurIPS Poster Credit Attribution and Stable Compression

• Improved Sample Complexity for Multiclass PAC Learning
  Authors: Steve Hanneke, Shay Moran, Qian Zhang

NeurIPS Poster Improved Sample Complexity for Multiclass PAC Learning

• Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
  Authors: Yuval Filmus, Steve Hanneke, Idan Mehalel, Shay Moran

NeurIPS Poster Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs

• Fast Rates for Bandit PAC Multiclass Classification
  Authors: Liad Erez, Alon Peled-Cohen, Tomer Koren, Yishay Mansour, Shay Moran

NeurIPS Poster Fast Rates for Bandit PAC Multiclass Classification

• RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
  Authors: Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni

NeurIPS Poster RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation

• Perceptual Fairness in Image Restoration
  Authors: Guy Ohayon, Michael Elad, Tomer Michaeli

NeurIPS Poster Perceptual Fairness in Image Restoration

• Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
  Authors: Elias Nehme, Rotem Mulayoff, Tomer Michaeli

NeurIPS Poster Hierarchical Uncertainty Exploration via Feedforward Posterior Trees

• Classification Diffusion Models: Revitalizing Density Ratio Estimation
  Authors: Shahar Yadin, Noam Elata, Tomer Michaeli

NeurIPS Poster Classification Diffusion Models: Revitalizing Density Ratio Estimation

• Robust Conformal Prediction Using Privileged Information
  Authors: Shai Feldman, Yaniv Romano

NeurIPS Poster Robust Conformal Prediction Using Privileged Information

• Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
  Authors: Yarin Bar, Shalev Shaer, Yaniv Romano

NeurIPS Poster Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach

• Learning on Large Graphs Using Intersecting Communities
  Authors: Ben Finkelshtein, Ismail Ceylan, Michael Bronstein, Ron Levie

NeurIPS Poster Learning on Large Graphs using Intersecting Communities