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Apple Machine Learning Research

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International Conference on Learning Representations (ICLR) 2026
2026-04-17 · via Apple Machine Learning Research

content type eventpublished April 17, 2026

Apple is presenting new research at the annual International Conference on Learning Representations (ICLR), which takes place in person in Rio de Janeiro, Brazil, from April 23 to 27. We are proud to again sponsor the conference, which brings together the scientific and industrial research communities focused on deep learning. Below is an overview of Apple’s participation at ICLR 2026:

Jump to a section:

  • Schedule
  • Technical Demos
  • Acknowledgements
  • Main Conference Papers
  • Workshop Papers

Stop by the Apple booth #204 during exhibition hours: 9:30 AM - 5:30 PM (Thursday, April 23 - Saturday, April 25). All times referenced in schedule are in BRT (local time).

Schedule

Thursday, April 23

  • POSTER
  • Synthetic Bootstrapped Pretraining
  • 10:30 AM - 1:00 PM, Poster Session 1, Pavilion 4, #5204
  • Zitong Yang (Stanford University), Aonan Zhang, Hong Liu (Stanford University), Emmanuel Candès (Stanford University), Tatsunori Hashimoto (Stanford University), Chong Wang, Ruoming Pang
  • POSTER
  • Flow Matching with Semidiscrete Couplings
  • 3:15 PM - 5:45 PM, Poster Session 2, Pavilion 3, #0812
  • Stephen Zhang (University of Melbourne), Seyed Alireza Mousavi Hosseini (University of Toronto), Michal Klein, Marco Cuturi
  • POSTER
  • Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
  • 3:15 PM - 5:45 PM, Poster Session 2, Pavilion 3, #1820
  • Wei Liu (HKUST), Ruochen Zhou (HKUST), Yiyun Deng (HKUST), Yuzhen Huang (HKUST), Jaunting Liu (HLUST), Yuntian Deng (University of Waterloo), Yizhe Zhang, Junxian He (HKUST)
  • POSTER
  • MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
  • 3:15 PM - 5:45 PM, Poster Session 2, Pavilion 3, #1921
  • Yanghao Li, Rui Qian, Bowen Pan, Haotian Zhang, Haoshuo Huang, Bowen Zhang (Meta), Ashley Tong, Haoxuan You, Xianzhi Du, Zhe Gan, Hyunjik Kim, Chao Jia, Zhenbang Wang, Yinfei Yang, Mingfei Gao, Zi-Yi Dou, Wenze Hu, Chang Gao, Dongxu Li, Philipp Dufter, Zirui Wang, Guoli Yin, Zhengdong Zhang, Chen Chen, Yang Zhao, Ruoming Pang (Meta), Zhifeng Chen
  • POSTER
  • Learning to Reason for Hallucination Span Detection
  • 3:15 PM - 5:45 PM, Poster Session 2, Pavilion 3, #1924
  • Hsuan Su, Ting-Yao Hu, Hema Koppula, Kundan Krishna, Hadi Pour Ansari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli
  • POSTER
  • Entropy-Preserving Reinforcement Learning
  • 3:15 PM - 5:45 PM, Poster Session 2, Pavilion 4, #4708
  • Ben Lipkin (MIT), Aleksei Petrenko, Kevin Chen, Erik Wijmans, Marco Cusumano-Towner, Raja Giryes, Philipp Krähenbühl

Friday, April 24

  • POSTER
  • Sharp Monocular View Synthesis in Less Than a Second
  • 10:30 AM - 1:00 PM, Poster Session 3, Pavilion 4, #3207
  • Lars Mescheder, Wei Dong, Shiwei Li, Xuyang Bai, Marcel Santos, Peiyun Hu, Bruno Lecouat, Mingmin Zhen, Amael Delaunoy, Tian Fang, Yanghai Tsin, Stephan Richter, Vladlen Koltun

Saturday, April 25

Sunday, April 26

  • WORKSHOP
  • Narrative of Time Across Scales (NoTS)
  • 9:00 AM - 5:00 PM, Time Series in the Age of Large Models Workshop 2026, 205
  • Wenrui Ma (University of Pennsylvania), Ran Liu, Ellen Zippi, Chris Sandino, Juri Minxha, Behrooz Mahasseni, Erdrin Azemi, Ali Moin, Eva Dyer (University of Pennsylvania)

Monday, April 27

  • WORKSHOP
  • Trading Depth for Memory: Robustifying LLMs against Cache Constraints
  • 9:00 AM - 5:00 PM, 3rd Workshop on Test-Time Updates (TTU): Putting Updates to the Test! 2026, 206
  • Joao Monteiro, Anastasiia Filippova, David Grangier, Marco Cuturi

Local LLM inference on Apple silicon with MLX

This demo will showcase on-device LLM inference on a MacBook Pro with M5 Max using MLX, Apple’s open-source array framework purpose-built for Apple silicon, running a quantized frontier coding model entirely locally within Xcode’s native development environment. The full stack — MLX, mlx-lm, and model weights — is open source, inviting the research community to build on and extend these methods independently.

SHARP

This demo shows SHARP running on a set of pre-recorded images or images captured directly by the user during the demo. Visitors will experience the fast process from selecting an image, processing it with SHARP, and viewing the generated 3D Gaussian point cloud on an iPad Pro with the M5 chip.

Both MLX and SHARP demos will be available at the Apple Booth during exhibition hours.

Carl Vondrick is the ICLR 2026 General Chair.

Alexander Toshev and Vladlen Koltun are Senior Area Chairs.

Carl Vondrick, Eugene Ndiaye, Fartash Faghri, Jiatao Gu, Joao Monteiro, Miguel Angel Bautista, Philipp Krähenbühl, Pierre Ablin, Shuangfei Zhai, and Yizhe Zhang, and Zhe Gan are Area Chairs.

Arno Blaas is a Workshop Co-Organizer, and Nicholas Apostoloff and Niv Sivakumar are Workshop Reviewers for “I Can’t Believe It’s Not Better: Challenges in Applied Deep Learning (ICBINB) 2026.”

Shirley Zou is a Workshop Co-Organizer for “AI with Recursive Self-Improvement 2026.”

Adam Golinski, Anastasasiia Filippova, Andrew Silva, Andrew Szot, Arnav Kundu, Arno Blaas, Artem Sevastopolsky, Arwen Bradley, Barry-John Theobald, Chen Chen, Cheng-Yu Hsieh, Devon Hjelm, Gregor Bachmann, Honor Chen, Luca Zappella, Manjot Bilkhu, Meng Cao, Michael Kirchhof, Miguel Sarabia, Mohamad Shahbazi, Nicholas Apostoloff, Nikhil Bhendawade, Nivedha Sivakumar, Noam Elata, Omar Attia, Parth Thakkar, Parshin Shojaee, Peter Grasch, Ping Wang, Ran Liu, Raviteja Vemulapalli, Richard Bai, Roy Xie, Vikramjit Mitra, Vimal Thilak, and Zijin Gu are Reviewers.

Main Conference Papers

AuthorsSilin Gao**, Antoine Bosselut†, Samy Bengio, Emmanuel Abbe

AuthorsMing Gui†‡*, Johannes Schusterbauer†‡*, Timy Phan†‡, Felix Krause†‡, Josh Susskind, Miguel Angel Bautista, Björn Ommer†‡

AuthorsPingzhi Li†‡, Bairu Hou, Yun Zhu†, Yihao Feng, Ke Ye†, Tao Lei, Zhifeng Chen, Tianlong Chen‡, Xianzhi Du

AuthorsDeepro Choudhury†, Sinead Williamson, Adam Goliński, Ning Miao‡, Freddie Bickford Smith†, Michael Kirchhof, Yizhe Zhang, Tom Rainforth†

AuthorsAmir Joudaki†, Giulia Lanzillotta†, Mohammad Samragh Razlighi, Iman Mirzadeh, Keivan Alizadeh, Thomas Hofmann†, Mehrdad Farajtabar, Fartash Faghri

AuthorsSantiago Cuervo†, Skyler Seto, Maureen de Seyssel, Richard He Bai, Zijin Gu, Tatiana Likhomanenko, Navdeep Jaitly, Zakaria Aldeneh

AuthorsBruno Mlodozeniec†**, Pierre Ablin, Louis Béthune, Dan Busbridge, Michal Klein, Jason Ramapuram, Marco Cuturi

AuthorsAleksandr Dremov**†, David Grangier, Angelos Katharopoulos, Awni Hannun

AuthorsHuangjie Zheng, Shansan Gong‡**, Ruixiang Zhang, Tianrong Chen, Jiatao Gu,, Mingyuan Zhou†**, Navdeep Jaitly, Yizhe Zhang

AuthorsVishaal Udandarao†‡, Zhiyun Lu, Xuankai Chang, Yongqiang Wang, Violet Z. Yao, Albin Madapally Jose, Fartash Faghri, Josh Gardner, Chung-Cheng Chiu

AuthorsShansan Gong†**, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong†**, Yizhe Zhang

AuthorsRyan Hoque*, Peide Huang*, David J. Yoon*, Mouli Sivapurapu, Jian Zhang

AuthorsWenhui Cui†**, Christopher M. Sandino, Hadi Pouransar, Ran Liu, Juri Minxha, Ellen L. Zippi, Erdrin Azemi, Behrooz Mahasseni

AuthorsAleksei Petrenko‡, Ben Lipkin†‡**, Kevin Chen, Erik Wijmans, Marco Cusumano-Towner, Raja Giryes, Philipp Krähenbühl

AuthorsStephen Zhang**, Seyed Alireza Mousavi Hosseini**, Michal Klein, Marco Cuturi

AuthorsAmin Karimi Monsefi†‡, Nikhil Bhendawade, Manuel R. Ciosici, Dominic Culver, Yizhe Zhang, Irina Belousova

AuthorsEmily Cheng†, Carmen Amo Alonso‡, Federico Danieli, Arno Blaas, Luca Zappella, Pau Rodríguez, Xavier Suau

AuthorsSilvia Sapora**, Devon Hjelm, Alexander Toshev, Omar Attia, Bogdan Mazoure

AuthorsSumanth Varambally**†, Thomas Voice, Yanchao Sun, Zhifeng Chen, Rose Yu†, Ke Ye

AuthorsHaoqiang Kang†, Yizhe Zhang, Nikki Lijing Kuang†, Nicklas Majamaki†, Navdeep Jaitly, Yi-An Ma†, Lianhui Qin†

Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Wei Liu (HKUST), Ruochen Zhou (HKUST), Yiyun Deng (HKUST), Yuzhen Huang (HKUST), Jaunting Liu (HLUST), Yuntian Deng (University of Waterloo), Yizhe Zhang, Junxian He (HKUST)

AuthorsShenao Zhang†**, Donghan Yu, Yihao Feng, Bowen Jin‡**, Zhaoran Wang†, John Peebles**, Zirui Wang

AuthorsHsuan Su†, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli

AuthorsYixing Lao†**, Xuyang Bai, Xiaoyang Wu†, Nuoyuan Yan, Zixin Luo, Tian Fang, Jean-Daniel Nahmias, Yanghai Tsin, Shiwei Li, Hengshuang Zhao†

AuthorsJen-Hao Rick Chang‡, Xiaoming Zhao‡, Dorian Chan, Oncel Tuzel

AuthorsYanghao Li, Rui Qian, Bowen Pan, Haotian Zhang, Haoshuo Huang, Bowen Zhang†**, Jialing Tong, Haoxuan You, Xianzhi Du, Zhe Gan, Hyunjik Kim, Chao Jia, Zhenbang Wang, Yinfei Yang, Mingfei Gao, Zi-Yi Dou, Wenze Hu, Chang Gao, Dongxu Li, Philipp Dufter, Zirui Wang, Guoli Yin, Zhengdong Zhang, Chen Chen, Yang Zhao, Ruoming Pang†**, Zhifeng Chen

AuthorsFartash Faghri*, Pavan Kumar Anasossalu Vasu*, Cem Koc, Vaishaal Shankar†, Alexander Toshev, Oncel Tuzel, Hadi Pouransari

AuthorsSarah Ball†, Greg Gluch‡, Shafi Goldwasser‡, Frauke Kreuter†§, Omer Reingold¶, Guy N. Rothblum

AuthorsFederico Danieli, Pau Rodriguez, Miguel Sarabia, Xavier Suau, Luca Zappella

AuthorsHadi Pouransari, David Grangier, C Thomas, Michael Kirchhof, Oncel Tuzel

AuthorsXianhang Li†, Chen Huang, Chun-Liang Li, Eran Malach, Josh Susskind, Vimal Thilak, Etai Littwin

AuthorsAlex Fang†**, Thomas Voice, Ruoming Pang**, Ludwig Schmidt†, Tom Gunter**

AuthorsJakub Krajewski**, Amitis Shidani, Dan Busbridge, Sam Wiseman, Jason Ramapuram

AuthorsMohammad Hossein Amani†, Aryo Lotfi†, Nicolas Mario Baldwin†, Samy Bengio, Mehrdad Farajtabar, Emmanuel Abbé*, Robert West*†

AuthorsRam Ramrakhya**, Andrew Szot, Omar Attia, Yuhao Yang, Anh Nguyen, Bogdan Mazoure, Zhe Gan, Harsh Agrawal, Alexander Toshev

AuthorsMichael Kirchhoff, Luca Füger†, Adam Goliński, Eeshan Gunesh Dhekane, Arno Blaas, Seong Joon Oh‡, Sinead Williamson

AuthorsAngie Boggust†, Donghao Ren, Yannick Assogba, Dominik Moritz, Arvind Satyanarayan†, Fred Hohman

AuthorsLars Mescheder, Wei Dong, Shiwei Li, Xuyang Bai, Marcel Santos, Peiyun Hu, Bruno Lecouat, Mingmin Zhen, Amaël Delaunoy, Tian Fang, Yanghai Tsin, Stephan R. Richter, Vladlen Koltun

AuthorsYuyang Wang, Jiarui Lu**, Navdeep Jaitly, Josh Susskind, Miguel Angel Bautista

AuthorsZitong Yang†‡, Aonan Zhang‡, Hong Liu†, Tatsunori Hashimoto†, Emmanuel Candès†, Chong Wang, Ruoming Pang

AuthorsGregor Bachmann, Yichen Jiang, Seyed Mohsen Moosavi Dezfooli, Moin Nabi

AuthorsEran Malach, Omid Saremi, Sinead Williamson, Arwen Bradley, Aryo Lotfi, Emmanuel Abbe, Josh Susskind, Etai Littwin

AuthorsPreetum Nakkiran, Arwen Bradley, Adam Goliński, Eugene Ndiaye, Michael Kirchhof, Sinead Williamson

AuthorsShruti Palaskar, Leon Gatys, Mona Abdelrahman, Mar Jacobo, Larry Lindsey, Rutika Moharir, Gunnar Lund, Yang Xu, Navid Shiee, Jeffrey Bigham, Charles Maalouf, Joseph Yitan Cheng

AuthorsJiayuan Ye, Vitaly Feldman, Kunal Talwar

AuthorsKundan Krishna, Joseph Y Cheng, Charles Maalouf, Leon A Gatys

AuthorsSzilvia Ujváry†**, Louis Béthune, Pierre Ablin, João Monteiro, Marco Cuturi, Michael Kirchhof

AuthorsBingbing Wen**, Sirajul Salekin, Feiyang Kang†, Lucy Lu Wang‡, Bill Howe‡, Javier Movellan, Manjot Bilkhu

Narrative of Time Across Scales (NoTS)

Wenrui Ma (University of Pennsylvania), Ran Liu, Ellen Zippi, Chris Sandino, Juri Minxha, Behrooz Mahasseni, Erdrin Azemi, Ali Moin, Eva Dyer (University of Pennsylvania)

AuthorsSkyler Seto, Pierre Ablin, Anastasiia Filippova, Jiayuan Ye†, Louis Béthune, Angelos Katharopoulos, David Grangier

AuthorsAlec Helbling†**, Shruti Palaskar, Kundan Krishna, Polo Chau†, Leon Gatys‡, Joseph Yitan Cheng‡

AuthorsLorenzo Noci**, Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Moin Nabi

Trading Depth for Memory: Robustifying LLMs against Cache Constraints

Joao Monteiro, Anastasiia Filippova, David Grangier, Marco Cuturi

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