NeurIPS 2023 Conference Submissions

A Unified, Scalable Framework for Neural Population Decoding
Mehdi Azabou, Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh B Nachimuthu, Michael Jacob Mendelson, Blake Aaron Richards, Matthew G Perich, Guillaume Lajoie, Eva L Dyer
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
A Trichotomy for Transductive Online Learning
Steve Hanneke, Shay Moran, Jonathan Shafer
- Published: 21 Sept 2023, Last Modified: 10 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Towards Automated Circuit Discovery for Mechanistic Interpretability
Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Generating Behaviorally Diverse Policies with Latent Diffusion Models
Shashank Hegde, Sumeet Batra, K.R. Zentner, Gaurav S. Sukhatme
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Distributed Personalized Empirical Risk Minimization
Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Structured Prediction with Stronger Consistency Guarantees
Anqi Mao, Mehryar Mohri, Yutao Zhong
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Feature Learning for Interpretable, Performant Decision Trees
Jack Henry Good, Torin Kovach, Kyle Miller, Artur Dubrawski
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Advice Querying under Budget Constraint for Online Algorithms
Ziyad Benomar, Vianney Perchet
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression
Allan Raventos, Mansheej Paul, Feng Chen, Surya Ganguli
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Experiment Planning with Function Approximation
Aldo Pacchiano, Jonathan Lee, Emma Brunskill
- Published: 21 Sept 2023, Last Modified: 10 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
MIMEx: Intrinsic Rewards from Masked Input Modeling
Toru Lin, Allan Jabri
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Prioritizing Samples in Reinforcement Learning with Reducible Loss
Shiva Kanth Sujit, Somjit Nath, Pedro Braga, Samira Ebrahimi Kahou
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning
Ronald Xie, Kuan Pang, Sai W Chung, Catia Perciani, Sonya MacParland, BO WANG, Gary Bader
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini
- Published: 21 Sept 2023, Last Modified: 04 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Group Robust Classification Without Any Group Information
Christos Tsirigotis, Joao Monteiro, Pau Rodriguez, David Vazquez, Aaron Courville
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Egocentric Planning for Scalable Embodied Task Achievement
Xiaotian Liu, Hector Palacios, Christian Muise
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Lie Point Symmetry and Physics-Informed Networks
Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Derandomized novelty detection with FDR control via conformal e-values
Meshi Bashari, Amir Epstein, Yaniv Romano, Matteo Sesia
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Adversarial Learning for Feature Shift Detection and Correction
Míriam Barrabés, Daniel Mas Montserrat, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G Ioannidis
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Rethinking Gauss-Newton for learning over-parameterized models
Michael Arbel, Romain Menegaux, Pierre Wolinski
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
Christian Kümmerle, Johannes Maly
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions
Yuriy Biktairov, Jyotirmoy Deshmukh
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Compositional Sculpting of Iterative Generative Processes
Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi S. Jaakkola
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone