Heiner Kremer

15 papers A* 4B 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Analog Optical Computing: Toward Sustainable Machine Learning Models and Beyond.
ECOC
Francesca Parmigiani, Hitesh Ballani, Grace Brennan, Burcu Canakci, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Fabian Falck, Christos Gkantsidis, Jannes Gladrow, Kirill P. Kalinin, Douglas J. Kelly, Heiner Kremer, Babak Rahmani, Antony I. T. Rowstron
2025 J jnl
Analog optical computer for AI inference and combinatorial optimization.
Nat.
Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O'Shea, Lucinda Pickup, Saravan Rajmohan, Antony I. T. Rowstron, Victor Rühle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani
2025 A* conf
Implicit Language Models are RNNs: Balancing Parallelization and Expressivity.
ICML
Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow
2025 J jnl
Implicit Language Models are RNNs: Balancing Parallelization and Expressivity.
CoRR
Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow
2025 J jnl
Roadmap on Neuromorphic Photonics.
CoRR
Daniel Brunner, Bhavin J. Shastri, Mohammed Al-Qadasi, Hitesh Ballani, Sylvain Barbay, Stefano Biasi, Peter Bienstman, Simon Bilodeau, Wim Bogaerts, Fabian Böhm, Grace Brennan, Sonia M. Buckley, Xinlun Cai, Marcello Calvanese Strinati, Burcu Canakci, Benoît Charbonnier, Mario Chemnitz, Yitong Chen, Stanley Cheung, Jeff Chiles, Suyeon Choi, Demetrios N. Christodoulides, Lukas Chrostowski, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Claudio Conti, Qionghai Dai, Luigi Di Lauro, Nikolaos-Panteleimon Diamantopoulos, Niyazi Ulas Dinç, Jacob Ewaniuk, Shanhui Fan, Lu Fang, Riccardo Franchi, Pedro J. Freire, Silvia Gentilini, Sylvain Gigan, Gian Luca Giorgi, Christos Gkantsidis, Jannes Gladrow, Elena Goi, M. Goldmann, A. Grabulosa, Min Gu, Xianxin Guo, Matej Hejda, Folkert Horst, Jih-Liang Hsieh, Jianqi Hu, Juejun Hu, Chaoran Huang, Antonio Hurtado, Lina Jaurigue, Kirill P. Kalinin, Morteza Kamalian-Kopae, Douglas J. Kelly, Mercedeh Khajavikhan, Heiner Kremer, Jérémie Laydevant, Joshua Lederman, Jongheon Lee, Daan Lenstra, Gordon H. Y. Li, Mo Li, Yuhang Li, Xing Lin, Zhongjin Lin, Mieszko Lis, Kathy Lüdge, Alessio Lugnan, Alessandro Lupo, A. I. Lvovsky, Egor Manuylovich, Alireza Marandi, Federico Marchesin, Serge Massar, Adam N. McCaughan, Peter L. McMahon, Miltiadis Moralis-Pegios, Roberto Morandotti, Christophe Moser, David J. Moss, Avilash Mukherjee, Mahdi Nikdast, Bert J. Offrein, Ilker Oguz, Bakhrom G. Oripov, Greg O'Shea, Aydogan Ozcan, Francesca Parmigiani, Sudeep Pasricha, Fabio Pavanello, Lorenzo Pavesi, Nicola Peserico, Lucinda Pickup, Davide Pierangeli, Nikos Pleros, Xavier Porte, Bryce A. Primavera
2024 A* conf
Geometry-Aware Instrumental Variable Regression.
ICML
Heiner Kremer, Bernhard Schölkopf
2024 J jnl
Geometry-Aware Instrumental Variable Regression.
CoRR
Heiner Kremer, Bernhard Schölkopf
2023 A* conf
Estimation Beyond Data Reweighting: Kernel Method of Moments.
ICML
Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu
2023 J jnl
Estimation Beyond Data Reweighting: Kernel Method of Moments.
CoRR
Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu
2023 B conf
Glare Removal for Astronomical Images with High Local Dynamic Range.
ICCP
Max-Olivier Van Bastelaer, Heiner Kremer, Valentin Volchkov, Jean-Claude Passy, Bernhard Schölkopf
2022 A* conf
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions.
ICML
Heiner Kremer, Jia-Jie Zhu, Krikamol Muandet, Bernhard Schölkopf
2022 J jnl
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions.
CoRR
Heiner Kremer, Jia-Jie Zhu, Krikamol Muandet, Bernhard Schölkopf
2022 — conf
Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee.
CDC
Yassine Nemmour, Heiner Kremer, Bernhard Schölkopf, Jia-Jie Zhu
2022 J jnl
Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee.
CoRR
Yassine Nemmour, Heiner Kremer, Bernhard Schölkopf, Jia-Jie Zhu
2022 J jnl
Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots.
ACM Trans. Spatial Algorithms Syst.
Lars Lorch, Heiner Kremer, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez