Caleb Geniesse

14 papers A* 1A 1Misc 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis.
CoRR
Jiaqing Chen, Nicholas Hadler, Tiankai Xie, Rostyslav Hnatyshyn, Caleb Geniesse, Yaoqing Yang, Michael W. Mahoney, Talita Perciano, John F. Hartwig, Ross Maciejewski, Gunther H. Weber
2025 A conf
Greater than the Sum of its LUTs: Scaling Up LUT-based Neural Networks with AmigoLUT.
FPGA
Olivia Weng, Marta Andronic, Danial Zuberi, Jiaqing Chen, Caleb Geniesse, George A. Constantinides, Nhan Tran, Nicholas J. Fraser, Javier Mauricio Duarte, Ryan Kastner
2025 J jnl
Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing.
CoRR
Tommaso Baldi, Javier Campos, Olivia Weng, Caleb Geniesse, Nhan Tran, Ryan Kastner, Alessandro Biondi
2025 J jnl
LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics.
IEEE Computer Graphics and Applications
Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W. Mahoney, Talita Perciano, Gunther H. Weber, Ross Maciejewski
2025 A* conf
Mitigating Memorization in Language Models.
ICLR
Mansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan, Nathaniel C. Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney
2025 J jnl
Removing Watermarks with Partial Regeneration using Semantic Information.
CoRR
Krti Tallam, John Kevin Cava, Caleb Geniesse, N. Benjamin Erichson, Michael W. Mahoney
2024 J jnl
Evaluating Loss Landscapes from a Topology Perspective.
CoRR
Tiankai Xie, Caleb Geniesse, Jiaqing Chen, Yaoqing Yang, Dmitriy Morozov, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber
2024 J jnl
LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics.
CoRR
Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W. Mahoney, Talita Perciano, Gunther H. Weber, Ross Maciejewski
2024 J jnl
Mitigating Memorization In Language Models.
CoRR
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney
2024 Misc conf
Reliable edge machine learning hardware for scientific applications.
VTS
Tommaso Baldi, Javier Campos, Benjamin Hawks, Jennifer Ngadiuba, Nhan Tran, Daniel Diaz, Javier M. Duarte, Ryan Kastner, Andres Meza, Melissa Quinnan, Olivia Weng, Caleb Geniesse, Amir Gholami, Michael W. Mahoney, Vladimir Loncar, Philip C. Harris, Joshua Agar, Shuyu Qin
2024 J jnl
Reliable edge machine learning hardware for scientific applications.
CoRR
Tommaso Baldi, Javier Campos, Benjamin Hawks, Jennifer Ngadiuba, Nhan Tran, Daniel Diaz, Javier M. Duarte, Ryan Kastner, Andres Meza, Melissa Quinnan, Olivia Weng, Caleb Geniesse, Amir Gholami, Michael W. Mahoney, Vladimir Loncar, Philip C. Harris, Joshua Agar, Shuyu Qin
2024 J jnl
Visualizing Loss Functions as Topological Landscape Profiles.
CoRR
Caleb Geniesse, Jiaqing Chen, Tiankai Xie, Ge Shi, Yaoqing Yang, Dmitriy Morozov, Talita Perciano, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber
2021 J jnl
Spontaneous and deliberate modes of creativity: Multitask eigen-connectivity analysis captures latent cognitive modes during creative thinking.
NeuroImage
Hua Xie, Roger E. Beaty, Sahar Jahanikia, Caleb Geniesse, Neeraj S. Sonalkar, Manish Saggar
2017 J jnl
MoleculeNet: A Benchmark for Molecular Machine Learning.
CoRR
Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S. Pappu, Karl Leswing, Vijay S. Pande