- Lucas Berry, David Meger:
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. AAAI 2023: 6806-6814 - Ashish Sharma, Kevin Rushton, Inna E. Lin, David Wadden, Khendra G. Lucas, Adam S. Miner, Theresa Nguyen, Tim Althoff:
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. ACL (1) 2023: 9977-10000 - Sebastian Surminski, Christian Niesler, Lucas Davi, Ahmad-Reza Sadeghi:
DMA'n'Play: Practical Remote Attestation Based on Direct Memory Access. ACNS 2023: 32-61 - Sven Smolka, Jens-Rene Giesen, Pascal Winkler, Oussama Draissi, Lucas Davi, Ghassan Karame, Klaus Pohl:
Fuzz on the Beach: Fuzzing Solana Smart Contracts. CCS 2023: 1197-1211 - Sebastian Surminski, Christian Niesler, Sebastian Linsner, Lucas Davi, Christian Reuter:
SCAtt-man: Side-Channel-Based Remote Attestation for Embedded Devices that Users Understand. CODASPY 2023: 225-236 - N. F. Nardoto, David M. Blanco, Emilio J. Bueno Peña, W. M. Santos, Lucas Frizera Encarnação:
Comparative Analysis of Model-Based Predictive Control for NPC and ANPC Multilevel Converters Considering Practical Implementations. CoDIT 2023: 179-184 - Michael Rodler, David Paaßen, Wenting Li, Lukas Bernhard, Thorsten Holz, Ghassan Karame, Lucas Davi:
EF↯CF: High Performance Smart Contract Fuzzing for Exploit Generation. EuroS&P 2023: 449-471 - Robert Rettig, Marcel Storch, Lucas Wittstruck, Christabel E. Ansah, Richard Janis Bald, David Richard, Dieter Trautz, Thomas Jarmer:
A coupled multitemporal UAV-based LiDAR and multispectral data approach to model dry biomass of maize. GIL Jahrestagung 2023: 483-488 - Lucas Gana, Sebastián Dávila-Gálvez, Franco Quezada:
Multi-product Lot-Sizing Problem with Remanufacturing, Lost Sales and Sequence-Dependent Changeover Cost. ICCL 2023: 517-532 - Lucas Hugo, Philippe Feyel, David Saussié:
Locally Convex Neural Lyapunov Functions and Region of Attraction Maximization for Stability of Nonlinear Systems. ICINCO (1) 2023: 29-36 - Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR 2023 - Eli Pregerson, Shaheen Cullen-Baratloo, David Chen, Duy Lam, Max Szostak, Lucas Bang:
Formalizing Path Explosion for Recursive Functions via Asymptotic Path Complexity. FormaliSE 2023: 76-85 - Rubens O. Moraes, David S. Aleixo, Lucas N. Ferreira, Levi H. S. Lelis:
Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies. IJCAI 2023: 4847-4854 - Lucas de Lima Nogueira, David Macêdo, Cleber Zanchettin, Fernando M. P. Neto, Adriano Lorena Inácio de Oliveira:
Learning What, Where and Which to Transfer. IJCNN 2023: 1-8 - Christian Eichhorn, David A. Plecher, Tobias Mesmer, Lucas Leder, Tim Simecek, Nassim Boukadida, Gudrun Klinker:
Shopping in between Realities-Using an Augmented Virtuality Smartphone in a Virtual Supermarket. ISMAR 2023: 1161-1170 - Lucas David, Luis Liborio, Guilherme Paiva, Marianna Severo, Eduardo Valle, Hélio Pedrini, Zanoni Dias:
Adversarial Feature Hallucination in a Supervised Contrastive Space for Few-Shot Learning of Provenance in Paintings. LA-CCI 2023: 1-6 - Rodrigo Passos Sousa, Daniel Augusto Santos Franco, Weslley Alves Farias, David Oliveira Santos, Lázaro Alberto de Araújo Menezes, Lucas Molina:
Design of Cost-Aware Open-Loop Controller For Non-Linearity Compensation Without Embedded Sensors Using Computer Vision. LARS/SBR/WRE 2023: 200-205 - Li-Wei H. Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li, Gari D. Clifford, Roger G. Mark:
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors. NeurIPS 2023 - Lucas Georges Gabriel Charpentier, Sondre Wold, David Samuel, Egil Rønningstad:
BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer. NoDaLiDa 2023: 202-214 - Diego Troitiño-Jordedo, Lucas Carvalho, David Henriques, Vítor Pereira, Miguel Rocha, Eva Balsa-Canto:
A New GIMME-Based Heuristic for Compartmentalised Transcriptomics Data Integration. PACBB 2023: 44-52 - David Borregón Sacristán, Antonio Pérez Muñoz, Lucas Sebastián Peris:
Building Robust Models for Detecting Offensive Content and Quantifying Prejudice in Online Platforms. IberLEF@SEPLN 2023 - Hassan Abu Alhaija, James Lucas, Alexander Zook, Michael Babcock, David Tyner, Rajeev Rao, Maria Shugrina:
Interactive AI Material Generation and Editing in NVIDIA Omniverse. SIGGRAPH Real Time Live! 2023: 4:1-4:2 - Laura Villa, David Carneros-Prado, Adrián Sánchez-Miguel, Cosmin C. Dobrescu, Ramón Hervás:
Conversational Agent Development Through Large Language Models: Approach with GPT. UCAmI (1) 2023: 286-297 - Jan Philipp Thoma, Christian Niesler, Dominic A. Funke, Gregor Leander, Pierre Mayr, Nils Pohl, Lucas Davi, Tim Güneysu:
ClepsydraCache - Preventing Cache Attacks with Time-Based Evictions. USENIX Security Symposium 2023: 1991-2008 - Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. CoRR abs/2301.06293 (2023) - Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao:
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. CoRR abs/2302.00557 (2023) - Lucas Berry, David Meger:
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. CoRR abs/2302.01312 (2023) - Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR abs/2302.04832 (2023) - Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim:
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR abs/2303.00980 (2023)