Christopher Grimm

21 papers A* 3A 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Leveraging Transformer Decoder for Automotive Radar Object Detection. CoRR Changxu Zhang, Zhaoze Wang, Tai Fei, Christopher Grimm, Yi Jin, Claas Tebruegge, Ernst Warsitz, Markus Gardill
2026	J	`jnl`	Synthetic FMCW Radar Range Azimuth Maps Augmentation with Generative Diffusion Model. CoRR Zhaoze Wang, Changxu Zhang, Tai Fei, Christopher Grimm, Yi Jin, Claas Tebruegge, Ernst Warsitz, Markus Gardill
2024	J	`jnl`	Training Neural Networks With In-Memory-Computing Hardware and Multi-Level Radix-4 Inputs. IEEE Trans. Circuits Syst. I Regul. Pap. Christopher Grimm, Jinseok Lee, Naveen Verma
2022	A*	`conf`	Approximate Value Equivalence. NeurIPS Christopher Grimm, André Barreto, Satinder Singh
2022	J	`jnl`	Neural Network Training on In-Memory-Computing Hardware With Radix-4 Gradients. IEEE Trans. Circuits Syst. I Regul. Pap. Christopher Grimm, Naveen Verma
2022	J	`jnl`	Neural Network Training on In-memory-computing Hardware with Radix-4 Gradients. CoRR Christopher Grimm, Naveen Verma
2022	—	`—`	The Value Equivalence Principle for Model-Based Reinforcement Learning Christopher Grimm
2022	J	`jnl`	Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications. IEEE Trans. Veh. Technol. Christopher Grimm, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann, Reinhold Haeb-Umbach
2021	A*	`conf`	Proper Value Equivalence. NeurIPS Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh
2021	J	`jnl`	Proper Value Equivalence. CoRR Christopher Grimm, André Barreto, Gregory Farquhar, David Silver, Satinder Singh
2020	A*	`conf`	The Value Equivalence Principle for Model-Based Reinforcement Learning. NeurIPS Christopher Grimm, André Barreto, Satinder Singh, David Silver
2020	J	`jnl`	The Value Equivalence Principle for Model-Based Reinforcement Learning. CoRR Christopher Grimm, André Barreto, Satinder Singh, David Silver
2020	J	`jnl`	Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications. CoRR Christopher Grimm, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann, Reinhold Haeb-Umbach
2019	J	`jnl`	Disentangled Cumulants Help Successor Representations Transfer to New Tasks. CoRR Christopher Grimm, Irina Higgins, André Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh
2019	J	`jnl`	Learning Independently-Obtainable Reward Functions. CoRR Christopher Grimm, Satinder Singh
2018	A	`conf`	Deep Abstract Q-Networks. AAMAS Melrose Roderick, Christopher Grimm, Stefanie Tellex
2018	J	`jnl`	Mitigating Planner Overfitting in Model-Based Reinforcement Learning. CoRR Dilip Arumugam, David Abel, Kavosh Asadi, Nakul Gopalan, Christopher Grimm, Jun Ki Lee, Lucas Lehnert, Michael L. Littman
2017	J	`jnl`	Deep Abstract Q-Networks. CoRR Melrose Roderick, Christopher Grimm, Stefanie Tellex
2017	J	`jnl`	Latent Attention Networks. CoRR Christopher Grimm, Dilip Arumugam, Siddharth Karamcheti, David Abel, Lawson L. S. Wong, Michael L. Littman
2017	J	`jnl`	Learning Approximate Stochastic Transition Models. CoRR Yuhang Song, Christopher Grimm, Xianming Wang, Michael L. Littman
2017	J	`jnl`	Summable Reparameterizations of Wasserstein Critics in the One-Dimensional Setting. CoRR Christopher Grimm, Yuhang Song, Michael L. Littman