Mila > News > Nearly 100 Mila-affiliated scientific papers accepted at NeurIPS 2023

16 Nov 2023

Nearly 100 Mila-affiliated scientific papers accepted at NeurIPS 2023

From December 10 to December 16, 2023, Mila researchers will attend the thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) in New Orleans. This year, they will share 96 scientific papers pushing the boundaries of artificial intelligence (AI) research with their peers from all around the world.

Here is a list of papers accepted at NeurIPS 2023 that contain at least one Mila-affiliated author :

title authors venue date status link pdf
Adaptive Resolution Residual Networks Léa Demeule,Mahtab Sandhu,Glen Berseth NeurIPS.cc/2023/Workshop/DLDE 2023-10-06 spotlight https://openreview.net/forum?id=9hcsB4oYxG https://openreview.net/pdf?id=9hcsB4oYxG
Effective Latent Differential Equation Models via Attention and Multiple Shooting Germán Abrevaya,Mahta Ramezanian-Panahi,Jean-Christophe Gagnon-Audet,Pablo Polosecki,Irina Rish,Silvina Ponce Dawson,Guillermo Cecchi,Guillaume Dumas NeurIPS.cc/2023/Workshop/DLDE 2023-10-06 spotlight https://openreview.net/forum?id=RFFTb7DIqi https://openreview.net/pdf?id=RFFTb7DIqi
Physics-Informed Transformer Networks Fabricio Dos Santos,Tara Akhound-Sadegh,Siamak Ravanbakhsh NeurIPS.cc/2023/Workshop/DLDE 2023-10-06 poster https://openreview.net/forum?id=zu80h9YryU https://openreview.net/pdf?id=zu80h9YryU
Deep PDE Solvers for Subgrid Modelling and Out-of-Distribution Generalization Patrick Chatain,Adam Oberman NeurIPS.cc/2023/Workshop/DLDE 2023-10-06 poster https://openreview.net/forum?id=kZmxbQ0l3l https://openreview.net/pdf?id=kZmxbQ0l3l
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems Trang Nguyen,Alexander Tong,Kanika Madan,Yoshua Bengio,Dianbo Liu NeurIPS.cc/2023/Workshop/GenBio 2023-10-03 poster https://doi.org/10.48550/arXiv.2310.03579 https://openreview.net/pdf?id=jbamDZ374t
DGFN: Double Generative Flow Networks Elaine Lau,Nikhil Murali Vemgal,Doina Precup,Emmanuel Bengio NeurIPS.cc/2023/Workshop/GenBio 2023-10-03 poster https://openreview.net/forum?id=1wa9JEanV5 https://openreview.net/pdf?id=1wa9JEanV5
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search Abbas Mehrabian,Ankit Anand,Hyunjik Kim,Nicolas Sonnerat,Tudor Berariu,Matej Balog,Gheorghe Comanici,Andrew Lee,Anian Ruoss,Anna Bulanova,Daniel Toyama,Sam Blackwell,Bernardino Romera Paredes,Laurent Orseau,Petar Veličković,Anurag Murty Naredla,Joonkyung Lee,Adam Zsolt Wagner,Doina Precup NeurIPS.cc/2023/Workshop/MATH-AI 2023-10-02 poster https://openreview.net/forum?id=woQ9G0bzBM https://openreview.net/pdf?id=woQ9G0bzBM
Learning Optimizers for Local SGD Charles-Étienne Joseph,Benjamin Thérien,Abhinav Moudgil,Boris Knyazev,Eugene Belilovsky NeurIPS.cc/2023/Workshop/Federated_Learning 2023-10-02 published https://openreview.net/forum?id=HiPe4SjZMs https://openreview.net/pdf?id=HiPe4SjZMs
Learning Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy Max Schwarzer,Jesse Farebrother,Joshua Greaves,Kevin Roccapriore,E. D. Cubuk,Rishabh Agarwal,Aaron Courville,Marc G. Bellemare,Sergei Kalinin,Igor Mordatch,Pablo Samuel Castro NeurIPS.cc/2023/Workshop/AI4Mat 2023-10-01 spotlight https://openreview.net/forum?id=XtEwUzaXJ3 https://openreview.net/pdf?id=XtEwUzaXJ3
On the importance of catalyst-adsorbate geometric relative information when predicting relaxed energy Alvaro Carbonero,Alexandre Duval,Victor Schmidt,Santiago Miret,Alex Hernandez-Garcia,Yoshua Bengio,David Rolnick NeurIPS.cc/2023/Workshop/AI4Mat 2023-10-01 poster https://openreview.net/forum?id=rTSMwxnY4f https://openreview.net/pdf?id=rTSMwxnY4f
Towards equilibrium molecular conformation generation with GFlowNets Alexandra Volokhova,Michał Koziarski,Alex Hernandez-Garcia,Cheng-Hao Liu,Santiago Miret,Pablo Lemos,Luca Thiede,Zichao Yan,Alan Aspuru-Guzik,Yoshua Bengio NeurIPS.cc/2023/Workshop/AI4Mat 2023-10-01 poster https://openreview.net/forum?id=BFIoxpFeZ2 https://openreview.net/pdf?id=BFIoxpFeZ2
Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning Maxime Wabartha,Joelle Pineau NeurIPS.cc/2023/Workshop/XAIA 2023-10-01 published https://openreview.net/forum?id=Zbt9z0a95l https://openreview.net/pdf?id=Zbt9z0a95l
Searching for High-Value Molecules Using Reinforcement Learning and Transformers Raj Ghugare,Santiago Miret,Adriana Hugessen,Mariano Phielipp,Glen Berseth NeurIPS.cc/2023/Workshop/AI4Mat 2023-10-01 poster https://openreview.net/forum?id=O8mZO2ri33 https://openreview.net/pdf?id=O8mZO2ri33
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science Yu Song,Santiago Miret,Huan Zhang,Bang Liu NeurIPS.cc/2023/Workshop/AI4Mat 2023-10-01 spotlight https://openreview.net/forum?id=TLercqxR4f https://openreview.net/pdf?id=TLercqxR4f
Crystal-GFlowNet: sampling materials with desirable properties and constraints Mistal,Alex Hernandez-Garcia,Alexandra Volokhova,Alexandre Duval,Yoshua Bengio,Divya Sharma,Pierre Luc Carrier,Michał Koziarski,Victor Schmidt NeurIPS.cc/2023/Workshop/AI4Mat 2023-10-01 spotlight https://openreview.net/forum?id=l167FjdPOv https://openreview.net/pdf?id=l167FjdPOv
Learning Conditional Policies for Crystal Design Using Offline Reinforcement Learning Prashant Govindarajan,Santiago Miret,Jarrid Rector-Brooks,Mariano Phielipp,Janarthanan Rajendran,Sarath Chandar NeurIPS.cc/2023/Workshop/AI4Mat 2023-10-01 poster https://openreview.net/forum?id=VbjD8w2ctG https://openreview.net/pdf?id=VbjD8w2ctG
Detecting Backdoors with Meta-Models Lauro Langosco,Neel Alex,William Baker,David Quarel,Herbie Bradley,David Krueger NeurIPS.cc/2023/Workshop/BUGS 2023-09-30 poster https://openreview.net/forum?id=cmJiEqniEc https://openreview.net/pdf?id=cmJiEqniEc
Score-Based Likelihood Characterization for Inverse Problems in the Presence of Non-Gaussian Noise Ronan Legin,Alexandre Adam,Yashar Hezaveh,Laurence Perreault-Levasseur NeurIPS.cc/2023/Workshop/Deep_Inverse 2023-09-29 poster https://openreview.net/forum?id=ijJJA6uQbL https://openreview.net/pdf?id=ijJJA6uQbL
Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim,Joohwan Ko,Dinghuai Zhang,L. Pan,Taeyoung Yun,Woochang Kim,Jinkyoo Park,Yoshua Bengio NeurIPS.cc/2023/Workshop/AI4Science 2023-09-28 poster https://doi.org/10.48550/arXiv.2310.02823 https://openreview.net/pdf?id=xRqAvRNUmq
Baking Symmetry into GFlowNets George Ma,Emmanuel Bengio,Yoshua Bengio,Dinghuai Zhang NeurIPS.cc/2023/Workshop/AI4Science 2023-09-28 oral https://openreview.net/forum?id=CZGHAeeBk3 https://openreview.net/pdf?id=CZGHAeeBk3
Role of Structural and Conformational Diversity for Machine Learning Potentials Nikhil Shenoy,Prudencio Tossou,Emmanuel Noutahi,Hadrien Mary,Dominique Beaini,Jiarui Ding NeurIPS.cc/2023/Workshop/AI4Science 2023-09-28 poster https://openreview.net/forum?id=byailXBliQ https://openreview.net/pdf?id=byailXBliQ
Latent Space Simulator for Unveiling Molecular Free Energy Landscapes and Predicting Transition Dynamics Simon Dobers,Hannes Stärk,Xiang Fu,Dominique Beaini,Stephan Gunnemann NeurIPS.cc/2023/Workshop/AI4Science 2023-09-28 poster https://openreview.net/forum?id=XIxcglPy9c https://openreview.net/pdf?id=XIxcglPy9c
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang,Jean Kaddour,Shengchao Liu,Jian Tang,Matt J. Kusner,Joan Lasenby,Qi Liu NeurIPS.cc/2023/Track/Datasets_and_Benchmarks 2023-05-31 poster https://doi.org/10.48550/arXiv.2206.08005 https://openreview.net/pdf?id=pyhv4qYCEJ
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning Julia Kaltenborn,Charlotte Emilie Elektra Lange,Venkatesh Ramesh,Philippe Brouillard,Yaniv Gurwicz,Chandni Nagda,Jakob Runge,Peer Nowack,David Rolnick NeurIPS.cc/2023/Track/Datasets_and_Benchmarks 2023-05-31 poster https://openreview.net/forum?id=3z9YV29Ogn https://openreview.net/pdf?id=3z9YV29Ogn
GEO-Bench: Toward Foundation Models for Earth Monitoring Alexandre Lacoste,Nils Lehmann,Pau Rodríguez,Evan D. Sherwin,H. Kerner,Bjorn Lutjens,Jeremy Andrew Irvin,J. Irvin,David Dao,H. Alemohammad,Alexandre Drouin,Mehmet Gunturkun,Gabriel Huang,David Vazquez,Dava Newman,Yoshua Bengio,S. Ermon,Xiao Xiang Zhu NeurIPS.cc/2023/Track/Datasets_and_Benchmarks 2023-05-31 poster https://doi.org/10.48550/arXiv.2306.03831 https://openreview.net/pdf?id=IptxZvA3at
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning Florian Bordes,Shashank Shekhar,Mark Ibrahim,Diane Bouchacourt,Pascal Vincent,Ari S. Morcos NeurIPS.cc/2023/Track/Datasets_and_Benchmarks 2023-05-31 poster https://doi.org/10.48550/arXiv.2308.03977 https://openreview.net/pdf?id=KRBoWULo2w
Temporal Graph Benchmark for Machine Learning on Temporal Graphs Shenyang Huang,Farimah Poursafaei,Jacob Danovitch,Matthias Fey,Weihua Hu,Emanuele Rossi,Jure Leskovec,Michael M. Bronstein,Guillaume Rabusseau,Reihaneh Rabbany NeurIPS.cc/2023/Track/Datasets_and_Benchmarks 2023-05-31 poster https://doi.org/10.48550/arXiv.2307.01026 https://openreview.net/pdf?id=qG7IkQ7IBO
SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data Mélisande Teng,Amna Elmustafa,Benjamin Akera,Yoshua Bengio,Hager Radi,Hugo Larochelle,David Rolnick NeurIPS.cc/2023/Track/Datasets_and_Benchmarks 2023-05-31 poster https://openreview.net/forum?id=Vn5qZGxGj3 https://openreview.net/pdf?id=Vn5qZGxGj3
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials Shengchao Liu,Weitao Du,Yanjing Li,Zhuoxinran Li,Zhiling Zheng,Chenru Duan,Zhi-Ming Ma,O. Yaghi,Anima Anandkumar,Christian Borgs,Jennifer T. Chayes,Hongyu Guo,Jian Tang NeurIPS.cc/2023/Track/Datasets_and_Benchmarks 2023-05-31 poster https://doi.org/10.48550/arXiv.2306.09375 https://openreview.net/pdf?id=ygXSNrIU1p
Generating QM1B with PySCF$_{\text{IPU}}$ Alexander Mathiasen,Hatem Helal,K. Klaser,Paul Balanca,Josef Dean,Carlo Luschi,Dominique Beaini,A. Fitzgibbon,Dominic Masters NeurIPS.cc/2023/Track/Datasets_and_Benchmarks 2023-05-31 poster https://openreview.net/forum?id=9Z1cmO7S7o https://openreview.net/pdf?id=9Z1cmO7S7o
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation Sebastien Lachapelle,Divyat Mahajan,Ioannis Mitliagkas,Simon Lacoste-Julien NeurIPS.cc/2023/Conference 2023-05-04 oral https://doi.org/10.48550/arXiv.2307.02598 https://openreview.net/pdf?id=R6KJN1AUAR
Prioritizing Samples in Reinforcement Learning with Reducible Loss Shiva Kanth Sujit,Somjit Nath,Pedro H. M. Braga,Samira E. Kahou Neurips.cc/2023/Conference 2022-12-08 poster https://doi.org/10.48550/arXiv.2208.10483 https://openreview.net/pdf?id=g78QqvhnDU
The Impact of Positional Encoding on Length Generalization in Transformers Amirhossein Kazemnejad,Inkit Padhi,Karthikeyan Natesan,K. Ramamurthy,Payel Das,Siva Reddy NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2305.19466 https://openreview.net/pdf?id=Drrl2gcjzl
Small batch deep reinforcement learning Johan Samir Obando Ceron,Marc G. Bellemare,Pablo Samuel Castro NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2310.03882 https://openreview.net/pdf?id=wPqEvmwFEh
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction Guillaume Huguet,Alexander Tong,Edward De Brouwer,Yanlei Zhang,Guy Wolf,Ian M. Adelstein,Smita Krishnaswamy NeurIPS.cc/2023/Conference 2023-05-30 poster https://doi.org/10.48550/arXiv.2305.19043 https://openreview.net/pdf?id=HNd4qTJxkW
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment Tianwei Ni,Michel Ma,Benjamin Eysenbach,Pierre-luc Bacon NeurIPS.cc/2023/Conference 2023-05-04 oral https://doi.org/10.48550/arXiv.2307.03864 https://openreview.net/pdf?id=APGXBNkt6h
Language Model Alignment with Elastic Reset Michael Noukhovitch,Samuel Lavoie,Florian Strub,Aaron Courville NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=6lgugutkin https://openreview.net/pdf?id=6lgugutkin
Prediction and Control in Continual Reinforcement Learning Nishanth Anand,Doina Precup NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=KakzVASqul https://openreview.net/pdf?id=KakzVASqul
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees Sharan Vaswani,A. Kazemi,Reza Babanezhad Harikandeh,Nicolas Roux NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2305.15249 https://openreview.net/pdf?id=6MQ5cheYDZ
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution Eric Q. Nguyen,Michael Poli,Marjan Faizi,A. Thomas,Michael Wornow,C. Birch-sykes,Aman Patel,Stefano Massaroli,Clayton M. Rabideau,Yoshua Bengio,S. Ermon,S. Baccus,Christopher Re NeurIPS.cc/2023/Conference 2023-05-04 spotlight https://doi.org/10.48550/arXiv.2306.15794 https://openreview.net/pdf?id=ubzNoJjOKj
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability Sitao Luan,Chenqing Hua,Minkai Xu,Qincheng Lu,Jiaqi Zhu,Xiaowen Chang,Jie Fu,Jure Leskovec,Doina Precup NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2304.14274 https://openreview.net/pdf?id=kJmYu3Ti2z
Normalization Layers Are All That Sharpness-Aware Minimization Needs Maximilian Mueller,Tiffany Joyce Vlaar,David Rolnick,Matthias Hein NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2306.04226 https://openreview.net/pdf?id=lArwl3y9x6
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic,Alexander Tong,BO WANG,Leo J Lee,Yoshua Bengio,Jason Hartford NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=e7MK5Vq44Q https://openreview.net/pdf?id=e7MK5Vq44Q
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL Chen Sun,Wannan Yang,Thomas Jiralerspong,Dane Malenfant,Benjamin Alsbury-Nealy,Yoshua Bengio,Blake Aaron Richards NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=gpJw8f4tIU https://openreview.net/pdf?id=gpJw8f4tIU
Double Gumbel Q-Learning David Yu-Tung Hui,Aaron Courville,Pierre-luc Bacon NeurIPS.cc/2023/Conference 2023-05-04 spotlight https://openreview.net/forum?id=UdaTyy0BNB https://openreview.net/pdf?id=UdaTyy0BNB
Reusable Slotwise Mechanisms Trang Nguyen,Amin Mansouri,Kanika Madan,Nguyen Duy Khuong,Khuong N. Nguyen,Kartik Ahuja,Dianbo Liu,Yoshua Bengio NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2302.10503 https://openreview.net/pdf?id=CniUitfEY3
A Diffusion-Model of Joint Interactive Navigation M. Niedoba,J. Wilder Lavington,Yunpeng Liu,Vasileios Lioutas,Justice Sefas,Xiaoxuan Liang,Dylan Green,Setareh Dabiri,B. Zwartsenberg,Adam Scibior,Frank Wood NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2309.12508 https://openreview.net/pdf?id=2yXExAl0FW
For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto,Wei-Di Chang,Edward J. Smith,Shane Gu,Doina Precup,David Meger NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2306.02451 https://openreview.net/pdf?id=xZvGrzRq17
GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths,Leo Klarner,Henry Moss,Aditya Ravuri,Sang T. Truong,Yuanqi Du,Samuel Don Stanton,Gary Tom,Bojana Rankovic,Arian Rokkum Jamasb,Aryan Deshwal,Julius Schwartz,Austin Tripp,Gregory Kell,Simon Frieder,Anthony Bourached,Alex Chan,Jacob Moss,Chengzhi Guo,Johannes P. Dürholt,Saudamini Chaurasia,Ji Won Park,Felix Strieth-Kalthoff,Alpha Lee,Bingqing Cheng,Alan Aspuru-Guzik,Philippe Schwaller,Jian Tang ICML 2022 2nd AI for Science Workshop 2022-07-21 poster https://openreview.net/forum?id=i9MKI7zrWal https://openreview.net/pdf?id=i9MKI7zrWal
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning Charles Guille-Escuret,Pau Rodríguez,David Vazquez,Ioannis Mitliagkas,João Monteiro arXiv.org 2021-12-31 published https://doi.org/10.48550/arXiv.2210.01742 https://openreview.net/pdf?id=Q9yT-pxvWn8
$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning Adel Nabli,Eugene Belilovsky,Edouard Oyallon arXiv.org 2022-12-31 published https://doi.org/10.48550/arXiv.2306.08289 https://openreview.net/pdf?id=YE04aRkeZb
Thinker: Learning to Plan and Act Stephen Chung,Ivan Anokhin,David Krueger NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2307.14993 https://openreview.net/pdf?id=mumEBl0arj
Retrieval-Augmented Multiple Instance Learning Yufei CUI,Ziquan Liu,Yixin CHEN,Yuchen Lu,Xinyue Yu,X Liu,Tei-Wei Kuo,Miguel R. D. Rodrigues,Chun Jason Xue,Antoni B. Chan NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=scaKiAtbI3 https://openreview.net/pdf?id=scaKiAtbI3
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure An Yuan,Chris Junchi Li,Gauthier Gidel,Michael Jordan,Quanquan Gu,Simon Shaolei Du NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=Z28nPtAVxx https://openreview.net/pdf?id=Z28nPtAVxx
Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings Yi Ren,Samuel Lavoie,Mikhail Galkin,Danica J. Sutherland,Aaron Courville NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=irRHgjePdR https://openreview.net/pdf?id=irRHgjePdR
Lie Point Symmetry and Physics-Informed Networks Tara Akhound-Sadegh,Laurence Perreault-Levasseur,Johannes Brandstetter,Max Welling,Siamak Ravanbakhsh ICML.cc/2023/Workshop/TAGML 2023-05-30 poster https://openreview.net/forum?id=VlUf77e9cR https://openreview.net/pdf?id=VlUf77e9cR
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network Tristan Deleu,Mizu Nishikawa-Toomey,Jithendaraa Subramanian,Nikolay Malkin,Laurent Charlin,Yoshua Bengio ICML.cc/2023/Workshop/SPIGM 2023-05-22 oral https://doi.org/10.48550/arXiv.2305.19366 https://openreview.net/pdf?id=4NMp0QFqwH
Maximum State Entropy Exploration using Predecessor and Successor Representations Arnav Kumar Jain,Lucas Lehnert,Irina Rish,Glen Berseth NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2306.14808 https://openreview.net/pdf?id=inE5hW4tQ0
Joint Prompt Optimization of Stacked LLMs using Variational Inference Alessandro Sordoni,Xingdi Yuan,Marc-Alexandre Côté,Matheus Pereira,Adam Trischler,Ziang Xiao,Arian Hosseini,Friederike Niedtner,Nicolas Roux NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=iImnbUVhok https://openreview.net/pdf?id=iImnbUVhok
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing Yangtian Zhang,Zuobai Zhang,Bozitao Zhong,Sanchit Misra,Jian Tang NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2306.01794 https://openreview.net/pdf?id=sXMQPKbLXf
Guiding The Last Layer in Federated Learning with Pre-Trained Models Gwen Legate,Nicolas Bernier,Lucas Caccia,Edouard Oyallon,Eugene Belilovsky NeurIPS.cc/2023/Conference 2023-05-28 poster https://doi.org/10.48550/arXiv.2306.03937 https://openreview.net/pdf?id=HRGd5dcVfw
Learning better with Dale’s Law: A Spectral Perspective Pingsheng Li,Jonathan Cornford,Arna Ghosh,Blake Aaron Richards NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.1101/2023.06.28.546924 https://openreview.net/pdf?id=rDiMgZulwi
A Definition of Continual Reinforcement Learning David Abel,Andre Barreto,Benjamin Van Roy,Doina Precup,Hado van Hasselt,Satinder P. Singh NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2307.11046 https://openreview.net/pdf?id=ZZS9WEWYbD
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth,Samira E. Kahou NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=jvYXln6Gzn https://openreview.net/pdf?id=jvYXln6Gzn
Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong,Joey Bose,Ian Gemp,Chongli Qin,Yoram Bachrach,Gauthier Gidel NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=l2VKZkolT7 https://openreview.net/pdf?id=l2VKZkolT7
Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context Oussama Boussif*,Ghait Boukachab*,Dan Assouline*,Stefano Massaroli,Tianle Yuan,Loubna Benabbou,Yoshua Bengio NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=x5ZruOa4ax https://openreview.net/pdf?id=x5ZruOa4ax
Group Robust Classification Without Any Group Information Christos Tsirigotis,João Monteiro,Pau Rodríguez,David Vazquez,Aaron Courville NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=2OcNWFHFpk https://openreview.net/pdf?id=2OcNWFHFpk
Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal,Siba Smarak Panigrahi,Oumar Kaba,Sai Rajeswar,Siamak Ravanbakhsh NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2310.01647 https://openreview.net/pdf?id=m6dRQJw280
Formalizing locality for normative synaptic plasticity models C. Bredenberg,Ezekiel Williams,Cristina Savin,Blake Aaron Richards,Guillaume Lajoie NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=rGN3X9jnEg https://openreview.net/pdf?id=rGN3X9jnEg
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning Casey Meehan,Florian Bordes,Pascal Vincent,Kamalika Chaudhuri,Chuan Guo NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2304.13850 https://openreview.net/pdf?id=lkBygTc0SI
Are Diffusion Models Vision-And-Language Reasoners? Benno Krojer,Elinor Poole-Dayan,Vikram Voleti,Christopher Joseph Pal,Siva Reddy NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2305.16397 https://openreview.net/pdf?id=fmJv8Hj0yo
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network Fuyuan Lyu,Xing Tang,Dugang Liu,Chen Ma,Weihong Luo,Liang Chen,xiuqiang He,X Liu NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=xxfHMqNcum https://openreview.net/pdf?id=xxfHMqNcum
Block-State Transformers Jonathan Pilault,Mahan Fathi,Orhan Firat,Christopher Joseph Pal,Pierre-luc Bacon,Ross Goroshin NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=XRTxIBs2eu https://openreview.net/pdf?id=XRTxIBs2eu
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets Dinghuai Zhang,Hanjun Dai,Nikolay Malkin,Aaron Courville,Yoshua Bengio,L. Pan NeurIPS.cc/2023/Conference 2023-05-04 spotlight https://openreview.net/forum?id=sTjW3JHs2V https://openreview.net/pdf?id=sTjW3JHs2V
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control Nate Rahn,Pierluca D’Oro,Harley Wiltzer,Pierre-Luc Bacon,Marc G. Bellemare NeurIPS.cc/2023/Conference 2023-05-04 poster https://doi.org/10.48550/arXiv.2309.14597 https://openreview.net/pdf?id=Nn0daSf6CW
Parallel-mentoring for Offline Model-based Optimization Can Chen,Christopher Beckham,Zixuan Liu,X Liu,Christopher Joseph Pal NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=tJwyg9Zg9G https://openreview.net/pdf?id=tJwyg9Zg9G
Multi-Head Adapter Routing for Cross-Task Generalization Lucas Caccia,Edoardo Ponti,Zhan Su,Matheus Pereira,Nicolas Roux,Alessandro Sordoni NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=qcQhBli5Ho https://openreview.net/pdf?id=qcQhBli5Ho
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu,Xinyu Yuan,Mikhail Galkin,Sophie Xhonneux,Ming Zhang,Maxime Gazeau,Jian Tang NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=dAJrxQz1lk https://openreview.net/pdf?id=dAJrxQz1lk
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction Zuobai Zhang,Minghao Xu,Aurelie Lozano,Vijil Chenthamarakshan,Payel Das,Jian Tang NeurIPS.cc/2023/Conference 2023-05-04 spotlight https://openreview.net/forum?id=tIzbNQko3c https://openreview.net/pdf?id=tIzbNQko3c
Learning Reliable Logical Rules with SATNet Zhaoyu Li,Jinpei Guo,Yuhe Jiang,Xujie Si NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=jnIBiP2di1 https://openreview.net/pdf?id=jnIBiP2di1
Importance-aware Co-teaching for Offline Model-based Optimization Ye Yuan,Can Chen,Zixuan Liu,Willie Neiswanger,X Liu NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=OvPnc5kVsb https://openreview.net/pdf?id=OvPnc5kVsb
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions Stefano Massaroli,Michael Poli,Daniel Y. Fu,Hermann Kumbong,Rom Nishijima Parnichkun,David W. Romero,Aman Timalsina,Quinn McIntyre,Beidi Chen,Atri Rudra,Ce Zhang,Christopher Re,S. Ermon,Yoshua Bengio NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=OWELckerm6 https://openreview.net/pdf?id=OWELckerm6
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng,Aaron Courville NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=j0U6XJubbP https://openreview.net/pdf?id=j0U6XJubbP
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 NeurIPS.cc/2023/Conference 2023-05-04 poster https://openreview.net/forum?id=sw2Y0sirtM https://openreview.net/pdf?id=sw2Y0sirtM
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory Sokhna Diarra Mbacke,Florence Clerc,Pascal Germain NeurIPS.cc/2023/Conference 2023-05-04 spotlight https://openreview.net/forum?id=jkPDRHff3s https://openreview.net/pdf?id=jkPDRHff3s
Object-centric architectures enable efficient causal representation learning Amin Mansouri, Jason Hartford, Yan Zhang, Yoshua Bengio Causal Representation Learning 27 Oct 2023 poster https://openreview.net/forum?id=GaoLn9UI1G&referrer=%5Bthe%20profile%20of%20Amin%20Mansouri%5D(%2Fprofile%3Fid%3D~Amin_Mansouri1) https://openreview.net/pdf?id=r9FsiXZxZt
Multi-Domain Causal Representation Learning via Weak Distributional Invariances Kartik Ahuja, Amin Mansouri, Yixin Wang Causal Representation Learning 27 Oct 2023 poster https://openreview.net/forum?id=LtkQY7PJVB&referrer=%5Bthe%20profile%20of%20Amin%20Mansouri%5D(%2Fprofile%3Fid%3D~Amin_Mansouri1) https://openreview.net/pdf?id=LtkQY7PJVB
EDGI: Equivariant Diffusion for Planning with Embodied Agents Johann Bremer*, Joey Bose*, Pim de Haan, Taco Cohen https://neurips.cc/virtual/2023/poster/71127 2023-11-15 poster https://openreview.net/forum?id=bpmM6SkDUy
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset Anna Richter*, Brooklyn Sheppard*, Allison Cohen, Elizabeth Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong https://nips.cc/virtual/2023/workshop/66526 2023-11-16 spotlight + oral https://openreview.net/forum?id=5hY19x1hdq
Symmetry Breaking and Equivariant Neural Networks Sékou-Oumar Kaba, Siamak Ravanbakhsh NeurReps Workshop 2023-11-15 oral https://openreview.net/forum?id=d55JaRL9wh&
From 6235149080811616882909238708 to 29: Vanilla Thompson Sampling Revisited Bingshan Hu, Tianyue H. Zhang Neurips Opt Workshop 2023-10-27 poster https://openreview.net/forum?id=XTJU5FPGRm https://openreview.net/forum?id=XTJU5FPGRm
Climate Variable Downscaling with Conditional Normalizing Flow Christina Winkler, Paula Harder, David Rolnick https://nips.cc/virtual/2023/76943 2023-11-13 poster
Mitigating Mode Collapse in Sparse Mixture-of-Experts Nizar Islah, Diganta Misra, Timothy Nest, Matthew Riemer, Irina Rish, Eilif Muller NeurIPS NewInML Workshop 2023-11-13 poster https://openreview.net/forum?id=ekzDmlhS3n https://openreview.net/pdf?id=ekzDmlhS3n
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano syntheticdata4ml@Neurips2023 2023-10-27 poster https://arxiv.org/abs/2310.00158 https://arxiv.org/pdf/2310.00158.pdf
Discovering environments with XRM Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz DistShift @NeurIPS2023 2023-10-27 poster https://arxiv.org/abs/2309.16748 https://arxiv.org/pdf/2309.16748.pdf
A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, qiang liu, Alireza Makhzani NeurIPS OTML Workshop poster https://openreview.net/forum?id=5NGwDptjPx https://arxiv.org/pdf/2310.10649.pdf